1. Round 1ib-r15 of 5 back, cancelledkitb-r13 of 3 back, cancelled

   Agent #1299 planned it. Started 10 min after the job was posted.

   what ib-r1 was asked

   One leg of a training relay for IB; the next leg starts from your result. Follow the goal's objective exactly; this adds the rest. FILES. START = https://api.imd.fun/artifacts/{{start}} (the id is the JSON's sha256), shaped like the IB file: `code_zb64` (Solidity), `port_zb64` (its exact float port), `params` (19-8-2 weights, 178 numbers, see params.layout), `search.restart`; `_zb64` is base64 of zlib. The IB file's `hashes.artifact_urls` give three more: `rep` (`replica_source`: the replica; the port plugs into its STRATEGY block), `ha` (`params`: HA's weights; in the port, HA is these with the six newer input columns zero), `port` (`differential_test_source`: an EVM-against-port test to adapt). STEPS, in order. 1. SETUP; fetch the files; check each sha256. 2. Gate A: START's port against its Solidity in the EVM, 50 x 2,000 callbacks, max fee difference < 0.01 bps. Gate B: replica gain of START's weights over HA on 512 markets, seeds {{bseed}} up, within 0.15 of the real {{bref}}. Speed: replica markets/s with START's port (512 x 10,000 steps, warmed). If a gate fails or speed is under 300, do not search: return your measurements with blocked={step,error}. 3. Search: CMA-ES (pycma) over the 178 weights: mean = START's {{mean}}, per-weight scale as the IB file's `search.CMA_stds`, sigma0 {{sigma}}, population {{pop}}, ES seed {{esseed}}. Generation g scores all proposals on the same 512 replica markets, seeds {{train}}+512g up, never reused; fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Checkpoint; segments under 7 minutes; train as long as the item allows, stopping about 20 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C: it against the port with those weights, 50 x 2,000 callbacks, < 0.1 bps. 5. Replica holdout, once: frozen, START's and IB's weights on seeds {{hold}}..+8191, paired. 6. REAL ENGINE: IB's Solidity and the frozen one, each alone, seeds {{real}}..+511 in 64-seed chunks, once; gas_stats per arm. RESULT: one JSON object the next leg can use as START, with START's keys and shapes: status; blocked; start{id}; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,train_seeds,curve per 10 generations,restart{es_mean_at_last_gen,es_sigma_at_last_gen,last_gen,next_train_seed}}; params (the frozen weights, all fields); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (unchanged); replica_validation{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START on the monitor, return START's weights and say so. Report only what you measured.

   what kitb-r1 was asked

   You run one training leg on KIT-B, the goal's kit for IA's design. The goal's objective, which you also have, gives FILES, GATES, REAL ENGINE and SETUP: follow it exactly. This brief names the rest. POLICY: {{variant}}. STEPS, in order. 1. SETUP; fetch KIT-B and decode it per its `decode_instructions`, checking each sha256; run its tests and `restore-ia`. Fetch the goal's IB file and decode its `code_zb64` (base64 of zlib; check the code sha256): IB's Solidity is the paired reference in the real engine. 2. Gates, with the kit's own `commands`, each under 8 minutes: A on IA.sol (< 0.01 bps, 50 sequences of 2,000 callbacks); B (replica gain of IA over T within 0.15 of the real +1.513). 3. Build POLICY as a kit weights JSON. Before any search it must equal IA: freeze it, check its Solidity compiles and validates, and pass gate C with IA as reference (< 0.1 bps). Measure the replica's speed with POLICY (512 markets of 10,000 steps, warmed). If a gate fails or the speed is under 300 markets/s, do not search: return what you measured with blocked={step,error}. 4. Search with the kit's `train`: CMA-ES over every weight of POLICY, ES seed {{esseed}}, fresh replica train seeds from {{train}} up, 512 markets a generation (256 if a generation would otherwise pass a minute; say which), in segments under 7 minutes on one checkpoint, as long as the item allows, stopping about 20 minutes before your time ends. If the kit's validation guard refuses POLICY, give it the gate evidence you measured for POLICY and say what you changed; never pass over a failing gate. 5. `freeze_trained`; gate C on the frozen Candidate.sol against its frozen weights (no IA reference); the kit's `holdout`, once: trained against IA. 6. REAL ENGINE with the kit's `real` and `aggregate`: arms IB and Candidate, each alone, seeds {{real}}..+511 in 64-seed chunks, once; gas per arm. RESULT: one JSON object: status; blocked; policy{variant,inputs,hidden_units,gate,weights_count}; gates{A,B,C_start,C_frozen}; speed{markets_per_s,processes}; search{es_seed,population,sigma0,train_n,generations,minutes,train_seeds,curve (each 10 generations),restart{mean,sigma,last_gen,next_train_seed}}; weights (the frozen policy's kit weights JSON, complete); code_zb64, code_sha256 (frozen Candidate.sol, base64 of zlib); holdout{n,mean_diff,se,retail_delta,arb_delta} over IA; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},retail and arb deltas,mean_edge of each arm}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or a peak over 245,000); notes. If the search did not beat IA on the kit's monitor, say so. Report only what you measured.

   the whole memo

   EP1, nothing handed yet. FACTS (read from the plain fields of the goal's files; every JSON's sha256 equals its URL id). IB (afd5183e…) is sister item inputs-b: T + 19-8-2 head on HA's 13 inputs plus raw_amountY, step_trade_count, prev bid/ask fee, steps_since_arb_like_print, router-implied vanilla spot. 910 CMA gens (pycma, pop 16, sigma0 0.1 ending 0.0224, 512 fresh replica markets a gen, monitor 30000000..30002047, about +0.07 monitor gain per 100 gens at the end). Real +0.592 se 0.030 over HA, +1.749 over T (seeds 7132768..7133279). afterSwap peak 234,849, so no room to widen it under 245,000. Its replica ran 4,182 markets/s on 22 processes (an 8-process seat gives roughly 600: a seat's speed decides how many generations a leg gets). It carries search.restart {es_mean_at_last_gen, es_sigma, next_train_seed}, but no Solidity generator: a leg must replace the weight constants in the Solidity itself. IA (df0ddfdf…) is NOT IB: inputs-a (raw_size = amountY/reserveY), 200 gens, real +0.335 over HA, about 0.26 behind IB. KIT-B is built on IA: generalized port 328 markets/s on 8 processes (barely over the 300 bar), IAD peak 132,084, commands speed/restore-ia/gate A,B,C/expand/train/freeze/holdout/real/aggregate, guards accept default and wide16. Other inputs: replica e8a7a2af… (`replica_source`), HA 2801efc8… (`code`, `params`), T 6ac5e013…, RS2 port d845a4b9… (`differential_test_source`). I ran and decoded nothing (the orchestrator does not do the work, and this seat's guard blocks decoding packed files), so the briefs describe steps, not commands I verified. Both briefs assume a worker is also given the goal's objective (it is written to workers: 'your starting file', 'Briefs name other files') and do not repeat SETUP; if r1 failures show otherwise, the brief must carry SETUP and the gates itself. DECIDED: two small probes, 8 of 200 items. ib-r1 (5): one relay leg each from START = IB's URL: gates A/B/speed, CMA over the 178 weights, freeze, gate C, replica holdout on 41000000..41008191 (same seeds for every item, so items compare exactly), real engine against IB on its own 512 seeds. A result is shaped like IB's file so it can be the next START. Keys: m-s22-p16, m-s22-p32 (mean = ES mean), f-s22-p16 (mean = frozen params), m-s45-p16, f-s45-p32; sNN = sigma0 0.0NN, pNN = population. kitb-r1 (3): KIT-B from IA: ia8 (control), wide16, gated8, real engine against IB. It starts behind IB and trains slower; it only probes whether width or gating on the gas diet deserves a line. Drop it unless an item ends within about 0.1 of IB on the real engine or gains clearly faster per generation than ib-r1. SEED LEDGER, never reuse. Real engine, 1,024-seed blocks of which 512 are used: ib-r1 8000000, 8001024, 8002048, 8003072, 8004096 (item order as above); kitb-r1 8005120, 8006144, 8007168; next free 8008192. Replica train, 2,000,000-seed blocks: ib-r1 500000000..508000000, kitb-r1 510000000..514000000; next free 516000000. Replica holdout: round r uses 41000000+(r-1)*10000 ..+8191. Monitor seeds are reused on purpose, for selection only. NEXT EPISODE. 1. For each result read blocked, valid, gates, speed, generations; a blocked or invalid item is evidence about the brief or the seat, not a candidate. 2. Rank valid ib items by replica_validation.frozen_vs_IB.mean_diff (se about 0.008), then check real.paired_vs_IB (se about 0.03) does not contradict it. 3. Next START id = sha256 of the best item's handed JSON bytes (results are content-addressed at https://api.imd.fun/artifacts/<id>, as IB's is). Fetch that URL once to confirm it serves the same bytes before briefing with it; a brief cannot hold the weights (3,000 characters). 4. Spawn ib-r2 with the template below, about 24 items (first 5 are its canary): vars start (the id); bseed and bref for gate B (START's real seed block, and 0.592 plus START's real gain over IB); mean ('restart ES mean' or 'frozen params'), sigma, pop, esseed varied around what gained most per generation; fresh train and real blocks from the ledger; the round's hold. A filled brief was 2,935 characters in r1: keep vars short. Update the ledger in the notes. 5. If items failed for the brief's reasons, mend it and re-run with itemsFrom before going wide. BUDGET: 200 items, 10 episodes: r1 8; r2..r8 about 24 each (168); episode 9 a last leg plus a confirmation batch with the remaining 24 (final candidate against IB, several items of 512 fresh real seeds each, pooled se near 0.01); episode 10 finish. The write-up needs: the final file's URL, its weights and Solidity hash, paired real gain over IB {n,mean_diff,se,worst5}, retail/arb deltas, gas, the round-by-round curve, and what was not checked. BRIEF TEMPLATE ib-rN (vars start,bseed,bref,mean,sigma,pop,esseed,train,hold,real): One leg of a training relay for IB; the next leg starts from your result. Follow the goal's objective exactly; this adds the rest. FILES. START = https://api.imd.fun/artifacts/{{start}} (the id is the JSON's sha256), shaped like the IB file: `code_zb64` (Solidity), `port_zb64` (its exact float port), `params` (19-8-2 weights, 178 numbers, see params.layout), `search.restart`; `_zb64` is base64 of zlib. The IB file's `hashes.artifact_urls` give three more: `rep` (`replica_source`: the replica; the port plugs into its STRATEGY block), `ha` (`params`: HA's weights; in the port, HA is these with the six newer input columns zero), `port` (`differential_test_source`: an EVM-against-port test to adapt). STEPS, in order. 1. SETUP; fetch the files; check each sha256. 2. Gate A: START's port against its Solidity in the EVM, 50 x 2,000 callbacks, max fee difference < 0.01 bps. Gate B: replica gain of START's weights over HA on 512 markets, seeds {{bseed}} up, within 0.15 of the real {{bref}}. Speed: replica markets/s with START's port (512 x 10,000 steps, warmed). If a gate fails or speed is under 300, do not search: return your measurements with blocked={step,error}. 3. Search: CMA-ES (pycma) over the 178 weights: mean = START's {{mean}}, per-weight scale as the IB file's `search.CMA_stds`, sigma0 {{sigma}}, population {{pop}}, ES seed {{esseed}}. Generation g scores all proposals on the same 512 replica markets, seeds {{train}}+512g up, never reused; fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Checkpoint; segments under 7 minutes; train as long as the item allows, stopping about 20 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C: it against the port with those weights, 50 x 2,000 callbacks, < 0.1 bps. 5. Replica holdout, once: frozen, START's and IB's weights on seeds {{hold}}..+8191, paired. 6. REAL ENGINE: IB's Solidity and the frozen one, each alone, seeds {{real}}..+511 in 64-seed chunks, once; gas_stats per arm. RESULT: one JSON object the next leg can use as START, with START's keys and shapes: status; blocked; start{id}; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,train_seeds,curve per 10 generations,restart{es_mean_at_last_gen,es_sigma_at_last_gen,last_gen,next_train_seed}}; params (the frozen weights, all fields); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (unchanged); replica_validation{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START on the monitor, return START's weights and say so. Report only what you measured.

   1 step

   ib-r1, item by itemkitb-r1, item by item

2. Round 2ib-long5 of 5 back, paused, cancelledfa-long4 of 4 backscale5 of 5 back, paused, cancelledkit-ib2 of 2 back

   Agent #1299 planned it, 2 attempts.

   ib-long: paused after 5 released, 3 held: paused by the orchestrator in episode 4.

   scale: paused after 5 released, 3 held: paused by the orchestrator in episode 3.

   what ib-long was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective (SETUP, GATES, REAL ENGINE) exactly; this brief adds the rest. FILES (check each sha256). START = IB, the goal's IB file: `code_zb64` (Solidity), `port_zb64` (its exact float port, see `port_notes`), `params` (19-8-2 weights W1, b1, W2, b2: 178 numbers). Its `hashes.artifact_urls` give `rep` (`replica_source`, the replica), `ha` (`params`, HA's weights: in START's port HA = these with the six newer input columns zero) and `port` (`differential_test_source`, an EVM-against-port test to adapt). `_zb64` fields: see KIT-B's `decode_instructions`. STEPS, in order. 1. SETUP; fetch and check the files. 2. The goal's gates A (START's port against its Solidity in the EVM) and B: 512 replica markets from seed 7132768; START's real gain over HA is +0.592. Replica speed with START's port (512 x 10,000 steps, warmed). A failed gate or speed under 300: no search, return what you measured with blocked={step,error}. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen weights (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, decaying: pycma adapts it and you cap it at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals on the same 512 replica markets, seeds {{train}}+512g up, never reused (block ends +3999999); fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Search at least 75 minutes, or until 25 minutes before your time ends if that comes first. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. The goal's gate C on it. 5. Replica holdout, once: the frozen and IB's weights on seeds {{hold}}..+8191, paired. 6. REAL ENGINE, once: IB's Solidity and the frozen one, each alone, seeds {{real}}..+511; gas_stats per arm. RESULT: one JSON object under 60,000 bytes, keyed like the IB file so a later leg can start from it: status; blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,search_minutes,train_seeds,curve: up to 60 rows [generation, minutes, ES-mean monitor gain over START, se, sigma, best]}; params (as IB's, frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; replica_validation{frozen_vs_IB: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START on the monitor, return START's weights and say so.

   what fa-long was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective (SETUP, GATES, REAL ENGINE) exactly; this brief adds the rest. FILES (check each sha256). START = feat-a (FA) = `code` of https://api.imd.fun/artifacts/d3bff2aae5d832c494baf42f463dd674ab63c084734a435ea6d204d0b6176e28, sha256 aa2c4a5637a4060088263d71ab8b109339b101bb25d64a45e9c7de83710d8728 (frozen `params`, `port_zb64`; +0.57 over HA); weights: `params.float`. IB = the goal's IB file; its `hashes.artifact_urls` give `rep` (`replica_source`, the replica), `ha` (`params`, HA's weights: in START's port HA = these with the six newer input columns zero) and `port` (`differential_test_source`, an EVM-against-port test to adapt). `_zb64` fields: see KIT-B's `decode_instructions`. STEPS, in order. 1. SETUP; fetch and check the files. 2. The goal's gates A (START's port against its Solidity in the EVM) and B: 512 replica markets from seed 7004000; START's real gain over HA is +0.569. Replica speed with START's port (512 x 10,000 steps, warmed). A failed gate or speed under 300: no search, return what you measured with blocked={step,error}. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen weights (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, decaying: pycma adapts it and you cap it at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals on the same 512 replica markets, seeds {{train}}+512g up, never reused (block ends +3999999); fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Search at least 75 minutes, or until 25 minutes before your time ends if that comes first. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. The goal's gate C on it. 5. Replica holdout, once: the frozen, FA's and IB's weights (IB in its own port) on seeds {{hold}}..+8191, paired. 6. REAL ENGINE, once: IB's Solidity, FA's and the frozen one, each alone, seeds {{real}}..+511; gas_stats per arm. RESULT: one JSON object under 60,000 bytes, keyed like the IB file so a later leg can start from it: status; blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,search_minutes,train_seeds,curve: up to 60 rows [generation, minutes, ES-mean monitor gain over START, se, sigma, best]}; params (as IB's, frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; replica_validation{frozen_vs_FA,frozen_vs_IB: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},paired_vs_FA,retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START on the monitor, return START's weights and say so.

   what scale was asked

   One training leg on KIT-B, the goal's kit for IA's design with the gas diet (IAD). Follow the goal's objective (FILES, SETUP, GATES, REAL ENGINE) exactly; this brief adds the rest. POLICY: IA's 19 inputs, {{units}} hidden units, {{gate}}. STEPS, in order. 1. SETUP; fetch KIT-B, unpack it per its `decode_instructions` checking each sha256, run its tests and `restore-ia`. Unpack the goal's IB file's `code_zb64` the same way: the real-engine reference. Use the kit's commands (its `commands` field); where one lacks an option this brief needs, call the harness's Python API and say so. 2. Gates A, B, C and speed for the kit's IA weights, as its commands give them. 3. Build the policy: `expand` IA's weights to {{units}} units, the new units' output weights 0, so it gives IA's fees exactly (first-print-gated: both nets start as that net); show it with the gate C command. Gas probe before training: its Solidity with every zero weight set to 1e-6, real seeds {{real}}+512..+527: no OOG, afterSwap peak <= 245,000. Replica speed with this policy. If compile, code size, gas or speed (under 300 markets/s) fails, step the width down (32, 24, 16) and say so; if 16 fails, do not search: return what you measured with blocked={step,error}. 4. Search: CMA-ES over all weights from that start; ES seed {{esseed}}; population {{pop}}; diagonal covariance above 400 weights; sigma0 {{sigma}} x each weight group's RMS, decaying: capped at sigma0 x 0.5^(search minutes/40). Each generation scores all proposals on the same 512 replica markets, seeds {{train}} up, never reused (block ends +3999999). Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Checkpoint each segment. Search at least 75 minutes, or until 25 minutes before your time ends if that comes first. 5. Freeze the best-monitor weights (1e-6) with the kit's emitter; the goal's gate C on the frozen Solidity. 6. Replica holdout, once: the frozen and IA's weights on seeds {{hold}}..+8191, paired. 7. REAL ENGINE, once: IB's Solidity, IAD and the frozen one, each alone, seeds {{real}}..+511; gas_stats per arm. RESULT: one JSON object under 60,000 bytes: status; blocked; policy{units,gate,weight_count}; gates{A,B,C}; gas_probe{afterSwap_peak,oog}; speed{markets_per_s,processes, per width tried}; search{generations,search_minutes,train_seeds,curve: up to 60 rows [generation, minutes, monitor gain over IA, se, sigma, best]}; weights (the frozen policy as the kit's weights.json v1, complete); code_zb64, code_sha256 (frozen Solidity; leave code_zb64 out only if it does not fit, and say so); replica_validation{frozen_vs_IA: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},paired_vs_IAD,retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); notes.

   what kit-ib was asked

   Kit work for a training relay, no search: put IB, the goal's board entry, into KIT-B's generalized framework with the gas diet, so later legs can widen IB itself. Follow the goal's objective (FILES, SETUP, REAL ENGINE) exactly; this brief adds the rest. STEPS, in order. 1. SETUP; fetch KIT-B, unpack it per its `decode_instructions` checking each sha256; run its tests. Fetch the goal's IB file; unpack `code_zb64` and `port_zb64` the same way (check both sha256). 2. Add IB's six newer inputs (IB's `new_input_formulas`: raw_amountY, step_trade_count, prev_bid_fee, prev_ask_fee, steps_since_arb_like_print, router_implied_vanilla_spot) to the kit as feature ids 19..24, in its port and in its Solidity emitter on the diet's storage packing; ids 0..18 and every kit command keep working. Write weights_ib.json (the kit's weights v1): IB's 19 inputs in IB's order, with IB's multipliers, offsets and frozen `params`. Emit its Solidity: IBD. 3. Prove it. (a) The kit's tests pass and its IA regression is unchanged. (b) Port: the kit port with weights_ib against IB's own port, and against IBD in the EVM, 50 x 2,000 callbacks each, max fee difference < 0.01 bps. (c) IBD against IB's Solidity on the same EVM callbacks: count the fee mismatches. (d) REAL ENGINE: IB's Solidity and IBD, each alone, on the regression seeds 0..99 and on fresh seeds {{real}}..+511 (64-seed chunks, once): per-seed edge differences, how many are exactly 0, the largest; gas_stats per arm. Identical means every difference is 0: if one is not, find why and mend it, or report the largest differences and their cause. (e) `expand` weights_ib to 16 units with zero output weights: still IB's fees on the EVM callbacks; its gas probe (every zero weight set to 1e-6, real seeds {{real}}+512..+527): afterSwap peak, OOG. (f) Replica speed with weights_ib, 512 x 10,000 steps. RESULT: one JSON object under 60,000 bytes, shaped like KIT-B's: status; blocked; each kit file you changed or added as `<name>_zb64` with `<name>_sha256`, packed as KIT-B packs its files, and each unchanged KIT-B file by name and sha256 only; decode_instructions; api (the new feature ids, their formulas and storage); commands (exact, as run); identity{regression: n,identical,max_abs_difference; fresh: seeds,n,identical,max_abs_difference,paired mean_diff,se,worst5}; gates{port_vs_ib_port,port_vs_evm,ibd_vs_ib_mismatches}; gas{IB,IBD: afterSwap_peak,afterInitialize_peak,oog; wide16_probe}; speed{markets_per_s,processes}; valid (false on any OOG or a peak over 245,000); notes: what is not identical and what was not checked. Report only what you ran.

   the whole memo

   EP2: woke on requester note 1; nothing handed; ib-r1 and kitb-r1 had not started. SHAPE: this episode's first attempt was rejected (spawn.0-2 invalid): three briefs were over 3,000 characters. Measure every filled brief (keep under 2,950); vars as strings; per batch only name, brief, items, output, merge. The seat's guard blocks unpacking `_zb64` fields: I read the files' plain fields only and ran no brief. DECIDED. Cancelled ib-r1 and kitb-r1 (against note 1: ES-mean starts, train seeds under 900000000, no 75-minute floor; their seeds count as burned). Spawned the requester's round 1, 22 items, each result handed as an item and listed in read. ib-long (8): CMA from IB's frozen params in IB's port. Keys end sNN-hMM-pKK: sigma0 0.0NN, sigma cap halving every MM search minutes, population KK. fa-long (4): the same from FA (d3bff2aa...: plain `code`, weights in `params.float`, its own port). FA's six extra inputs are not IB's: the two lines' weights never mix. scale (8): KIT-B with IAD, IA's 19 inputs, uNN = units, single or gated, from IA's weights by `expand`; an item steps its width down if code size, gas or speed fails. kit-ib (2): IB's six inputs as kit feature ids 19..24 on the diet (IBD), identity to IB on real seeds 0..99 and 512 fresh; returns the changed kit files. Search items: 75 minutes of search (less if the item's time is shorter), replica holdout 41010000..+8191 (shared by the round), 512 fresh real seeds against IB; the rest as TEMPLATE. FACTS. IB (afd5183e...): T + 19-8-2 head, 178 weights; real +0.592 se 0.030 over HA on 7132768..7133279; afterSwap peak 234,849; 910 generations in 20.8 minutes on 22 processes (5,980 markets/s in search, about 600 on 8 processes); monitor +0.07 per 100 generations at the end; file 38.9 KB, so a result keyed like it fits 64,000. FA: real +0.569 over HA on 7004000..7004511. KIT-B (63.9 KB, at the size limit): IA is real +0.335 over HA, about 0.26 behind IB; generalized port 328 markets/s on 8 processes at 8 units, slower when wider, so scale items on small seats may block at the 300 bar; IAD peak 132,084. LEDGER, never reuse. Real engine, 1,024-seed blocks (512 used; +512..+527 gas probes): burned 8000000..8008191; ib-long 8008192+1024i (i = item order from 0); fa-long 8016384+1024i; scale 8020480+1024i; kit-ib 8028672, 8029696; next free 8030720. Replica train, 4,000,000-seed blocks: ib-long 900000000+4000000i; fa-long 932000000+4000000i; scale 948000000+4000000i; next free 980000000. Holdout: episode e uses 41000000+(e-1)*10000..+8191. ES seeds used: 20261101..08, 20261111..14, 20261121..28. NEXT EPISODE. 1. Per result read blocked, valid, gates, speed, generations, search_minutes. A blocked item is evidence about the brief or the seat; re-run with itemsFrom only a mended brief. 2. Rank ib and fa items by replica_validation.frozen_vs_IB.mean_diff (se near 0.008) and check real.paired_vs_IB (se near 0.03) agrees. Scale: real.paired_vs_IB; keep that line only if an item ends within 0.1 of IB or gains faster per minute than ib-long. 3. A START id is the sha256 of a result's handed JSON bytes; fetch https://api.imd.fun/artifacts/<id> once to confirm before briefing with it. 4. Requester's rule: confirm the best against IB on two fresh blocks of 1,024, promote at > 2 se, continue from the promoted weights plus the next two best; pass frozen `params` only. Only 8 episodes are left, so spawn confirm-rN (2 items, CONFIRM below) in the same episode as round N+1 started from the best three of step 2; a start that fails its confirmation is dropped the round after. A file confirmed >= +0.3 over IB on 2,048 seeds: report its complete code and sha256, the requester submits it. 5. Round 2, about 22 items: TEMPLATE legs from the best three, most to the best, varying esseed, sigma, half and pop around what gained most per generation. If kit-ib proved identity, give 4 to 6 items to widening IB in the kit (the scale brief's steps from IBD and weights_ib, 16 units). 6. Budget: 200 items, 30 used if the cancelled 8 still count. Rounds of about 24 in episodes 3..8, a last 2,048-seed confirmation in 9, finish in 10. The write-up needs the final file's URL, code and sha256, paired real gain over IB, retail/arb deltas, gas, the curve by round, what was not checked. CONFIRM (vars cand, real; 2 items): "Confirm one candidate against IB on the real engine. Follow the goal's objective (SETUP, REAL ENGINE) exactly. CAND = https://api.imd.fun/artifacts/{{cand}}: `code_zb64`, `port_zb64`, `params`. The goal's gate C on CAND. Then IB's Solidity and CAND's, each alone, seeds {{real}}..+1023, once. RESULT: one JSON object: gates{C}; paired{n,mean_diff,se,worst5}; means per 64 seeds; retail and arb deltas; mean_edge; gas{afterSwap_peak,oog,gas_stats}; valid; CAND's complete Solidity as plain `code` with code_sha256." TEMPLATE relay leg (vars start, bseed, bref, esseed, pop, sigma, half, train, hold, real; bseed = START's real block, bref = 0.592 + START's real gain over IB): One leg of a training relay; a later leg starts from your result. Follow the goal's objective (SETUP, GATES, REAL ENGINE) exactly; this brief adds the rest. FILES (check each sha256). START = https://api.imd.fun/artifacts/{{start}}, keyed like the goal's IB file: `code_zb64` (Solidity), `port_zb64` (its exact float port), `params` (19-8-2 weights W1, b1, W2, b2: 178 numbers). IB = the goal's IB file; its `hashes.artifact_urls` give `rep` (`replica_source`, the replica), `ha` (`params`, HA's weights: in START's port HA = these with the six newer input columns zero) and `port` (`differential_test_source`, an EVM-against-port test to adapt). `_zb64` fields: see KIT-B's `decode_instructions`. STEPS, in order. 1. SETUP; fetch and check the files. 2. The goal's gates A (START's port against its Solidity in the EVM) and B: 512 replica markets from seed {{bseed}}; START's real gain over HA is {{bref}}. Replica speed with START's port (512 x 10,000 steps, warmed). A failed gate or speed under 300: no search, return what you measured with blocked={step,error}. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen weights (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, decaying: pycma adapts it and you cap it at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals on the same 512 replica markets, seeds {{train}}+512g up, never reused (block ends +3999999); fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Search at least 75 minutes, or until 25 minutes before your time ends if that comes first. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. The goal's gate C on it. 5. Replica holdout, once: the frozen, START's and IB's weights (IB in its own port) on seeds {{hold}}..+8191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511; gas_stats per arm. RESULT: one JSON object under 60,000 bytes, keyed like the IB file so a later leg can start from it: status; blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,search_minutes,train_seeds,curve: up to 60 rows [generation, minutes, ES-mean monitor gain over START, se, sigma, best]}; params (as IB's, frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; replica_validation{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},paired_vs_start,retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START on the monitor, return START's weights and say so.

   1 step

   ib-long, item by itemfa-long, item by itemscale, item by itemkit-ib, item by item

3. Round 3ic-long5 of 5 backslope3 of 3 backconfirm-ic2 of 2 back

   Agent #2 planned it.

   what ic-long was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective (SETUP, GATES, REAL ENGINE) exactly; this adds the rest. FILES (`_zb64` = base64 of zlib; check each sha256; a JSON's sha256 is its URL id). START = https://api.imd.fun/artifacts/a97fa964e707df8aff4feb6a2dd8532d33189b88fe3c217749968d5216efd139: `code_zb64`, `port_zb64` (its exact port; `notes`: how its W is built from `params`), `params` (its weights); its `hashes.artifacts` give by id `IA` (`params`; same port), `replica` (`replica_source`) and `RS2_port` (`differential_test_source`: an EVM-against-port test). IB = the goal's IB file: `code_zb64`, `port_zb64` (its own port), `params`. STEPS. 1. SETUP; fetch and check the files. 2. Gate A. Gate B: the replica gain of START over IA on seeds 7236864..7237375 within 0.15 of the real +0.378. Speed: steady-state replica markets/s of START's port on the search's own persistent pool (a process per CPU, 2,048+ markets x 10,000 steps, pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. Speed under 300: the same and no search, but still run step 6 for IB and START. 3. Search: CMA-ES (pycma) over the 178 weights from START's `params` (never an ES-state vector); scale per weight = RMS of its group (W1,b1,W2,b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g: all proposals on the same 512 fresh replica markets from seed {{train}}+512g; fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Search 75+ minutes, or until 25 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen, START's and IB's weights (IB in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511; gas_stats per arm. RESULT: one JSON object under 60,000 bytes a later leg can start from: START's keys with `params` (W1,b1,W2,b2), `code_zb64` and `code_sha256` the frozen ones, and: status; blocked; gates{A,B,C}; speed{markets_per_s,processes,cpus}; search{generations,search_minutes,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; replica_validation{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},paired_vs_start,by_quartile,retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid; notes. by_quartile: the seeds in quartiles of IB's retail volume (q1 quietest), each n, mean_diff, se of frozen minus IB and START minus IB. If nothing beat START on the monitor, return START's weights and say so.

   what slope was asked

   A relay leg: the search sets the fee's slope on retail volume. Follow the goal's objective (SETUP, GATES, REAL ENGINE) exactly; this adds the rest. FILES (`_zb64` = base64 of zlib; check each sha256; a JSON's sha256 is its URL id). START = https://api.imd.fun/artifacts/a97fa964e707df8aff4feb6a2dd8532d33189b88fe3c217749968d5216efd139: `code_zb64`, `port_zb64` (its exact port; `notes`: how its W is built from `params`), `params` (its weights); its `hashes.artifacts` give by id `IA` (`params`; same port), `replica` (`replica_source`) and `RS2_port` (`differential_test_source`: an EVM-against-port test). IB = the goal's IB file: `code_zb64`. STEPS. 1. SETUP; fetch and check the files. 2. Gate A. Gate B: the replica gain of START over IA on seeds 7236864..7237375 within 0.15 of the real +0.378. 3. VARIANT, in port and Solidity alike: (a) a 20th head input lambdaHat x sizeHat (T's flow_size), scaled by START's `params.new_input_scaling` rule on the 256 replica markets from seed {{train}}+3999000, its eight weights 0; (b) LAMBDA_COEF, FLOW_SIZE_COEF and the anchor's linear and quadratic k each = START's value x exp(z), z = 0. Identity: so set, port and Solidity both give START's fees on gate A's sequences. Gas on real seeds {{real}}+512..+527: no OOG, afterSwap peak <= 245,000. Speed: steady-state replica markets/s of its port on the search's own persistent pool (a process per CPU, 2,048+ markets x 10,000 steps, pool start and compile excluded). A failure or speed under 300: no search, return blocked={step,error} with your measurements. 4. Search: CMA-ES (pycma) over the 186 weights and four z; initial sd per weight = 0.03 x RMS of its group (W1,b1,W2,b2); per z = {{csig}}; ES seed {{esseed}}; population {{pop}}; step capped at its start x 0.5^(search minutes/40). Generation g: all proposals on the same 512 fresh replica markets from seed {{train}}+512g; fitness = mean edge. Every 10 generations score the ES mean and the generation's best on monitor seeds 30000000..30002047; keep the best. Search 75+ minutes, or until 25 minutes before your time ends. 5. Freeze the best: weights rounded to 1e-6, the constants as Solidity holds them, and in the port. Gate C. Replica holdout, once: frozen and START, seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511; gas_stats per arm. RESULT: one JSON object a later leg can start from: START's keys with `params` (W1 8x20, scaling, the four constants), code and port (zb64, sha256) the frozen variant's, and: blocked; gates; speed; search{generations,search_minutes,curve}; replica_validation{frozen_vs_start: n,mean_diff,se}; real{seeds,paired_vs_IB{n,mean_diff,se,worst5},paired_vs_start,by_quartile,retail and arb deltas,mean_edge}; gas{afterSwap_peak,oog,gas_stats}; valid; notes. by_quartile: the seeds in quartiles of IB's retail volume (q1 quietest), each n, mean_diff, se of frozen minus IB and START minus IB.

   what confirm-ic was asked

   Confirm one candidate against IB on the real engine; no search, no replica. Follow the goal's objective (SETUP, REAL ENGINE) exactly; this brief adds the rest. FILES (`_zb64` = base64 of zlib; check each sha256; a JSON's sha256 is its URL id). CAND = https://api.imd.fun/artifacts/a97fa964e707df8aff4feb6a2dd8532d33189b88fe3c217749968d5216efd139: `code_zb64` (Solidity), `port_zb64` (its exact float port; `notes`: how its W argument is built from `params`), `params` (the frozen weights); its `hashes.artifacts` give by id `RS2_port` (`differential_test_source`: an EVM-against-port test to adapt). IB = the goal's IB file: `code_zb64`. STEPS. 1. SETUP; fetch and check the files. 2. The goal's gate C on CAND: its Solidity in the EVM against its port with its `params`, 50 x 2,000 callbacks, largest fee difference under 0.1 bps. 3. REAL ENGINE, once: IB's Solidity and CAND's, each alone, seeds {{real}}..+1023 in 64-seed chunks, saving state under scratch/ between chunks; gas_stats per arm. RESULT: one JSON object: status; blocked; gates{C}; seeds; paired{n,mean_diff,se,sum,sumsq,worst5} of CAND minus IB; means_per_64_seeds (16 numbers); by_quartile: the seeds in quartiles of IB's retail volume (q1 quietest), each with n, mean_diff, se and each arm's mean edge and mean retail volume; retail and arb deltas; mean_edge per arm; gas{afterSwap_peak,oog,gas_stats} per arm; valid (false on any OOG or an afterSwap peak over 245,000); CAND's complete Solidity as plain `code` with code_sha256; notes. Report only what you measured; if SETUP fails return blocked={step,error}.

   the whole memo

   EP3: woke on requester note 2, minutes after EP2; round 1 (ib-long, fa-long, scale, kit-ib) had not started. Handed: three results the cancelled r1 batches finished. No weights have moved yet. LEARNED from the three results (all blocked at the 300 markets/s gate, none trained): - ib-r1/f-s22-p16 (IB's port): gate A 6.6e-5 bps, gate B replica +0.586 against real +0.592, both pass; speed 129..147 markets/s on a seat with 2 CPUs. SETUP, fetching, sha256 checks and unpacking worked. - kitb-r1/wide16: KIT-B's `speed` command gave 220 markets/s for 19-16-2 on 8 processes; gated8 (two 19-8-2 nets) 120. That command times 512 markets in 1.5 to 4 seconds INCLUDING pool start, so it understates the steady state a search runs at. Gates A, B and C_start passed, kit tests 15/15. - A blocked result is still 'accepted': a canary does not catch a brief whose items all block. Seats differ widely (2 to 22 CPUs) and I cannot choose them. - A handed result is served at https://api.imd.fun/artifacts/<sha256 of its bytes> (checked for 46026ae3... and 4d616a18...): that id is a relay's next START. IC = the requester's second start, cc45e1a7 continue-h, a97fa964e707df8aff4feb6a2dd8532d33189b88fe3c217749968d5216efd139 (plain fields read, both hashes checked): IA's design, NOT IB's: IA's 19 inputs (raw_size, IA's scaling), IA's port b29cd2a0..., 178 weights in `params` W1,b1,W2,b2. Real +0.378 se 0.024 over IA on 7236864..7237375; replica holdout 40000000..+8191: +0.749 over HA where IB has +0.652, so about +0.10 over IB, never yet paired with IB on the real engine. afterSwap peak 235,582. Trained 507 generations in 54 minutes (population 32, 128 markets a generation), step still large at the end; its port ran 810 markets/s on 8 processes. IA = df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df (`params`; real +0.335 over HA). Because IC is IA's design, KIT-B loads it as it is (kit weights.json = feature_ids 0..18, IC's multipliers and offsets, one net W1,b1,W2,b2) and its diet (IAD, peak 132k) applies: the kit can widen IC, not only IA. In IC's port the T path is TH[LAMBDA_COEF], TH[FLOW_SIZE_COEF], flow_size = lam*size; the anchor's k are `params.toxicity_anchor` linear_k_wad and quadratic_k_wad. DECIDED (10 items; 40 of 200 used). ic-long (5): note 2c, IC continued as IB is: the EP2 TEMPLATE leg with START = IC, mended as below. Keys ic-sNN-hMM-pKK (sigma0 0.0NN, cap halving every MM minutes, population KK): s30-h40-p16, s30-h40-p32, s50-h30-p16, s20-h60-p16, s50-h30-p32. slope (3): note 2a, from IC (the best start by the requester's figures): a 20th input lambdaHat x sizeHat (scaled by IC's new_input_scaling rule, weights 0) and LAMBDA_COEF, FLOW_SIZE_COEF, the anchor's linear and quadratic k each as value x exp(z), searched jointly (190 variables), identity to IC proven first, gas probed before training. Keys slope-c05-p16, slope-c15-p16, slope-c10-p32 (cNN = initial sd of z 0.NN). A result carries the changed port and Solidity, so a later leg can start from it. Its holdout is frozen against IC only: add IC-minus-IB from any ic-long holdout (same seeds) to get frozen_vs_IB. It has no speed fallback (no room in 3,000 characters). confirm-ic (2): IC against IB on the real engine, 1,024 fresh seeds each (ic-block-a, ic-block-b), gate C, quartiles, IC's code in plain. Promote IC at pooled mean_diff > 2 se (pool with sum and sumsq). Paused scale: its 3 held items wait. Its 5 released run the EP2 brief, which uses the kit's `speed` command, so most will block or step their width down. Round 1 searches all share replica holdout 41010000..41018191. MENDS now in the template (keep them in every later brief): 1. Speed: "steady-state replica markets/s of START's port on the search's own persistent pool (a process per CPU, 2,048+ markets x 10,000 steps, pool start and compile excluded)". 2. A speed-blocked item still earns its seat: "Speed under 300: the same and no search, but still run step 6 for IB and START" (512 more real seeds of START against IB). 3. Note 2b, in every real result: "by_quartile: the seeds in quartiles of IB's retail volume (q1 quietest), each n, mean_diff, se". 4. IC's real gain was measured over IA, not HA, so its gate B is: "the replica gain of START over IA on seeds 7236864..7237375 within 0.15 of the real +0.378". For a child of IC: seeds = the child's real block, reference = its real paired_vs_start (replica child minus IC), or chain +0.378. 5. FILES for IC's line: START (code_zb64, port_zb64, params; its `notes` say how the port's W is built); START's own `hashes.artifacts` name by id IA (`params`), `replica` (`replica_source`) and `RS2_port` (`differential_test_source`); IB's code, port and params come from the goal's IB file. A child of IC must keep `hashes.artifacts` (the brief says 'START's keys'). Filled briefs: ic-long 2,820, slope 2,946, confirm-ic 1,582 characters. Measure every one; stay under 2,950. LEDGER, never reuse. Real engine, 1,024-seed blocks (a search uses 512, +512..+527 gas probes): burned 8000000..8008191; ib-long 8008192+1024i; fa-long 8016384+1024i; scale 8020480+1024i; kit-ib 8028672, 8029696; ic-long 8030720+1024i (i = 0..4 in the key order above); slope 8035840, 8036864, 8037888; confirm-ic 8038912, 8039936 (all 1,024 used); next free 8040960. Replica train, 4,000,000-seed blocks: ib-long 900000000+4000000i; fa-long 932000000+; scale 948000000+; ic-long 980000000+4000000i; slope 1000000000, 1004000000, 1008000000 (scaling markets at block +3999000); next free 1012000000. Holdout: round 1 41010000; round 2 uses 41030000..+8191, then +10000 a round. ES seeds used: 20261101..08, 20261111..14, 20261121..28, 20261131..35, 20261141..43. NEXT EPISODE (wakes when ib-long, fa-long, kit-ib, ic-long, slope and confirm-ic settle, or after 150 minutes; ib-long's 3 held items may still be running). 1. Per result: blocked, gates, speed and cpus, generations, search_minutes. Count how many seats passed the speed gate per port: that sets how wide round 2 must be to get enough trained legs. 2. Pool confirm-ic's two blocks, plus every speed-blocked ic-long or slope item's START-minus-IB block: is IC > IB by 2 se? If yes IC's line is the main line and later reals may pair against IC as well as IB. 3. Rank trained legs by replica_validation.frozen_vs_IB (se near 0.008, same holdout seeds for all of round 1, so lines compare directly) and check real.paired_vs_IB (se near 0.03) agrees. Requester's rule: confirm the best on two fresh blocks of 1,024 (the confirm brief with CAND = the result's id, after fetching that URL once), promote at > 2 se, continue from the promoted weights plus the next two best; frozen `params` only. A file confirmed >= +0.3 over IB on 2,048 seeds: report its complete code and sha256. 4. Round 2 (about 30 items): legs from the best three starts, most from the best; settings around what gained most per generation; if slope beat plain ic-long legs, continue the slope variant (its result is its own START). Spawn the confirmations in the same episode. 5. scale: if its released items trained, `resume` it. If they blocked on speed, take its unreleased items with itemsFrom under a mended brief: steady-state speed as mend 1, allowed to specialise the kit's generalized port to the fixed shape (gate A proven again), and started from IC's weights rather than IA's. Keep the kit line only if an item ends within 0.1 of the best ib/ic leg or gains faster per minute. kit-ib: if identity held, widening IB on the diet is open too. 6. Budget: 160 items, 7 episodes left: rounds of 25 to 30 in episodes 4..8, a last confirmation of the final file on 2,048 fresh seeds in 9, finish in 10. The write-up list is in EP2's notes; add the quartiles.

   1 step

   ic-long, item by itemslope, item by itemconfirm-ic, item by item

4. Round 4ig-a4 of 5 back, cancelledig-b5 of 5 back, cancelledig-c5 of 5 back, cancelledslope-ig3 of 3 back, cancelledwide-ig3 of 3 back, cancelledib-re2 of 2 back, cancelledfa-re2 of 2 back, cancelledconfirm-ig2 of 2 back

   Agent #2 planned it.

   what ig-a was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). START = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64` (Solidity), `port_zb64` (its port; W = 1, feature_multipliers, feature_offsets, W1, b1, W2, b2 flattened: 217 numbers), `params`, `sources` (URLs: `IA` (`params`: IA's weights), `replica` (`replica_source`), `RS2_port` (`differential_test_source`: an EVM test to adapt)). IB = the goal's IB file: `code_zb64`, `port_zb64` (its own port: `port_notes`), `params`. 1. SETUP; fetch and check the files. 2. Gate A on START. Gate B: START's replica gain over IA on seeds 7232768..7233279 within 0.15 of the real +0.507. S = steady-state replica markets/s of START's port on the search's own pool (pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023; return that. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen `params` (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen, START's and IB's weights (IB in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes with START's keys: blocked; gates{A,B,C}; speed{markets_per_s,cpus}; search{generations,search_minutes,M,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; params (START's with the frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; sources; holdout{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real per the objective with paired_vs_IB, paired_vs_start (each also sum, sumsq) and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes. If nothing beat START on the monitor, return START's weights and say so.

   what ig-b was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). START = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64` (Solidity), `port_zb64` (its port; W = 1, feature_multipliers, feature_offsets, W1, b1, W2, b2 flattened: 217 numbers), `params`, `sources` (URLs: `IA` (`params`: IA's weights), `replica` (`replica_source`), `RS2_port` (`differential_test_source`: an EVM test to adapt)). IB = the goal's IB file: `code_zb64`, `port_zb64` (its own port: `port_notes`), `params`. 1. SETUP; fetch and check the files. 2. Gate A on START. Gate B: START's replica gain over IA on seeds 7232768..7233279 within 0.15 of the real +0.507. S = steady-state replica markets/s of START's port on the search's own pool (pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023; return that. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen `params` (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen, START's and IB's weights (IB in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes with START's keys: blocked; gates{A,B,C}; speed{markets_per_s,cpus}; search{generations,search_minutes,M,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; params (START's with the frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; sources; holdout{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real per the objective with paired_vs_IB, paired_vs_start (each also sum, sumsq) and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes. If nothing beat START on the monitor, return START's weights and say so.

   what ig-c was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). START = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64` (Solidity), `port_zb64` (its port; W = 1, feature_multipliers, feature_offsets, W1, b1, W2, b2 flattened: 217 numbers), `params`, `sources` (URLs: `IA` (`params`: IA's weights), `replica` (`replica_source`), `RS2_port` (`differential_test_source`: an EVM test to adapt)). IB = the goal's IB file: `code_zb64`, `port_zb64` (its own port: `port_notes`), `params`. 1. SETUP; fetch and check the files. 2. Gate A on START. Gate B: START's replica gain over IA on seeds 7232768..7233279 within 0.15 of the real +0.507. S = steady-state replica markets/s of START's port on the search's own pool (pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023; return that. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen `params` (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen, START's and IB's weights (IB in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes with START's keys: blocked; gates{A,B,C}; speed{markets_per_s,cpus}; search{generations,search_minutes,M,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; params (START's with the frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; sources; holdout{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real per the objective with paired_vs_IB, paired_vs_start (each also sum, sumsq) and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes. If nothing beat START on the monitor, return START's weights and say so.

   what slope-ig was asked

   A relay leg whose search also sets the fee's slope on retail volume. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). START = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64` (Solidity), `port_zb64` (its port; W = 1, feature_multipliers, feature_offsets, W1, b1, W2, b2 flattened: 217 numbers), `params`, `sources` (URLs: `IA` (`params`: IA's weights), `replica` (`replica_source`), `RS2_port` (`differential_test_source`: an EVM test to adapt)). 1. SETUP; fetch and check the files. Gate A on START. Gate B against IA: START's `real.vs_IA` on its `seeds.real_fresh`. 2. Change START's port and Solidity alike: (a) a 20th head input, lambdaHat x sizeHat, scaled as `params.new_input_scaling` says (256 replica markets from seed {{train}}+3999000), its 8 weights 0; (b) multipliers exp(z), z = 0, on the T path's LAMBDA_COEF and FLOW_SIZE_COEF and the anchor's linear and quadratic k. Before any search: changed port against START's on gate A's sequences, fee difference 0; gate A on the changed pair; real-engine gas probe with the new weights 1e-6, seeds {{real}}+512..+527: afterSwap peak <= 245,000, 0 OOG, else drop (a) and say so. 3. S = steady-state replica markets/s of the changed port on the search's own pool (pool start and compile excluded). S under 100: no search; return steps 1-2 and the changed files. 4. Search: CMA-ES (pycma) jointly over the 186 weights from START's frozen `params` (initial sd 0.03 x RMS of the weight's group) and the four z (initial sd {{zsd}}); ES seed {{esseed}}; population {{pop}}; sigma capped at its start x 0.5^(search minutes/40). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 5. Freeze the best-monitor values (weights to 1e-6) in the changed Solidity. Gate C on it. 6. Replica holdout, once: frozen and START, seeds 41010000..41018191, paired. 7. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes with START's keys: blocked; gates{A,B,C}; identity; gas_probe; speed; search{generations,search_minutes,M,curve}; params (plus the new scaling and coefficients); code_zb64, code_sha256, port_zb64, port_sha256 (changed, frozen); sources; holdout{frozen_vs_start}; real per the objective with paired_vs_IB, paired_vs_start and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes.

   what wide-ig was asked

   One training leg on KIT-B, the goal's kit with the gas diet: widen the relay's best policy from 8 hidden units to {{units}}. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). KIT-B (unpack per its `decode_instructions`; `commands` and `api` say how each step runs). START = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: IA's design with newer weights; as a kit weights.json: feature_ids 0..18, its `params` feature_multipliers, feature_offsets, hidden_units 8, gate single, one net W1, b1, W2, b2. Its `code_zb64` is its own Solidity, not on the diet. 1. SETUP; unpack; the kit's tests; `restore-ia`; write START's weights.json. 2. Gate A: the kit's port with START's weights against START's own Solidity. Gate B: START's replica gain over IA (the kit's weights.json) on seeds 7232768..7233279 within 0.15 of the real +0.507. The kit's `train` guard is bound to IA: rebind it or use your own loop; say which. 3. `expand` to {{units}} units (new units' output weights 0): wide against START in the port on gate A's sequences, fee difference 0; emit its diet Solidity, gate C; real-engine gas probe with every weight nonzero, seeds {{real}}+512..+527: afterSwap peak <= 245,000, 0 OOG, code size in the limit; else step down by 4 units and say so. 4. S = steady-state replica markets/s of the wide policy on the search's own pool (pool start and compile excluded). S under 100: no search; return steps 1-3 and the wide files. 5. Search: CMA-ES over all the wide weights from the expanded ones; scale per weight = RMS of its group in START; ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/40). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 6. Freeze (weights to 1e-6); gate C on the frozen Solidity. 7. Replica holdout, once: frozen and START, seeds 41010000..41018191, paired. 8. REAL ENGINE, once: IB's Solidity, START's own and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes: blocked; gates{A,B,C}; identity; gas_probe; code_size; speed; search{generations,search_minutes,M,curve}; weights (the frozen weights.json); code_zb64, code_sha256 (frozen Solidity); kit_changes; holdout{frozen_vs_start}; real per the objective with paired_vs_IB, paired_vs_start and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes.

   what ib-re was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). START = IB, the goal's IB file: `code_zb64` (Solidity), `port_zb64` (its exact port: `port_notes`), `params` (19-8-2 weights W1, b1, W2, b2). Its `hashes.artifact_urls` give `rep` (`replica_source`), `ha` (`params`, HA's weights: in START's port HA = these with the six newer input columns zero) and `port` (`differential_test_source`: an EVM test to adapt). 1. SETUP; fetch and check the files. 2. Gate A on START. Gate B: START's replica gain over HA on seeds 7132768..7133279 within 0.15 of the real +0.592. S = steady-state replica markets/s of START's port on the search's own pool (pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. S under 100: no search; return your measurements. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen `params` (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen and START's weights, seeds 41010000..41018191, paired. 6. REAL ENGINE, once: START's Solidity and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes with START's keys: blocked; gates{A,B,C}; speed{markets_per_s,cpus}; search{generations,search_minutes,M,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; params (START's with the frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256, port_notes; hashes; holdout{frozen_vs_IB: n,mean_diff,se}; real per the objective with paired_vs_IB (each also sum, sumsq) and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes. If nothing beat START on the monitor, return START's weights and say so.

   what fa-re was asked

   One leg of a training relay; a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). START = FA = https://api.imd.fun/artifacts/d3bff2aae5d832c494baf42f463dd674ab63c084734a435ea6d204d0b6176e28: plain `code` (Solidity; `sha256` is its hash), `port_zb64` (its port, the replica inside), `params.float` (W1, b1, W2, b2). IB = the goal's IB file: `code_zb64`, `port_zb64` (`port_notes`), `params`; its `hashes.artifact_urls` give `ha` (`params`, HA's weights: in START's port HA = these with W1's columns 13..18 zero) and `port` (`differential_test_source`: an EVM test to adapt). Never mix FA's and IB's weights. 1. SETUP; fetch and check the files. 2. Gate A on START. Gate B: START's replica gain over HA on seeds 7004000..7004511 within 0.15 of the real +0.569. S = steady-state replica markets/s of START's port on the search's own pool (pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023; return that. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen `params.float` (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen, START's and IB's weights (IB in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes keyed like START: blocked; gates{A,B,C}; speed{markets_per_s,cpus}; search{generations,search_minutes,M,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; params (START's, frozen weights in `float`); code, sha256 (frozen Solidity); port_zb64, port_sha256; holdout{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real per the objective with paired_vs_IB, paired_vs_start (each also sum, sumsq) and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes. If nothing beat START on the monitor, return START's weights and say so.

   what confirm-ig was asked

   Confirm one candidate against IB on the real engine: no search. Follow the goal's objective exactly, and the requester's rule: This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work. FILES (`_zb64` = base64 of zlib; check each sha256). CAND = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64` (Solidity, sha256 e1ea8fcb105e00754d17061efbe4b299a634b0fcc1b5c293d65b631654b7204b), `port_zb64` (its port; W = 1, feature_multipliers, feature_offsets, W1, b1, W2, b2 flattened: 217 numbers), `params` (frozen weights), `sources` (URLs; `RS2_port` holds `differential_test_source`: an EVM test to adapt). IB = the goal's IB file: `code_zb64`. 1. SETUP; fetch and check the files. 2. The goal's gate C on CAND: its Solidity against its port with its `params`, 50 x 2,000 callbacks, < 0.1 bps. 3. REAL ENGINE, once: IB's Solidity and CAND's, each alone, seeds {{real}}..+1023, in chunks of 64 seeds. RESULT: one JSON object: gates{C}; seeds; paired{n,mean_diff,se,worst5,sum,sumsq} (CAND minus IB per seed); mean_diff per 64-seed chunk; by_quartile of IB's retail volume (q1 quietest): n,mean_diff,se; retail and arb deltas; mean_edge per arm; gas per arm {afterSwap_peak,oog,gas_stats}; valid (false on any OOG or peak over 245,000); CAND's complete Solidity as plain `code` with code_sha256. Report only what you measured.

   the whole memo

   EP4: woke on requester note 3. Handed ib-long/ib-s30-h40-p16, fa-long/fa-s30-h40-p16, fa-long/fa-s20-h40-p16: gates A and B passed; all three stopped by the old 300 markets/s rule on 2-CPU seats (124, 131, 172 markets/s). No weights have moved yet. All 6 results so far are stopped ones; they return first, so the rest may be training. FACTS (plain fields read, sha256 = URL id; nothing unpacked or run). IG = the main baton, cc45e1a7 continue-g, ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: IA's design and IA's port b29cd2a0... (same port, multipliers and offsets as IC), 178 weights; real +0.507 se 0.024 over IA on 7232768..7233279; replica holdout 40000000..+8191 +0.835 over HA (IB +0.652, IC +0.749): about +0.18 over IB on the replica, never yet paired with IB; afterSwap peak 235,611. Keys: code_zb64, code_sha256 e1ea8fcb..., port_zb64, params (W1, b1, W2, b2, feature_multipliers, feature_offsets, new_input_scaling, toxicity_anchor), `sources` (URLs: HA, T, replica, RS2_port, kit, IA; IC has `hashes.artifacts` instead), real.vs_IA, seeds.real_fresh, holdout. KIT-B's `train` guard is bound to IA's hashes. DECIDED (27 items; 67 of 200 used). Every brief carries note 3's sentence word for word. All searches: 256-market generations under 300 markets/s, search until 30 minutes before the item's time ends, monitor = ES mean every 10 generations, holdout 41010000..41018191 (as every round-1 leg, so all lines compare), real = IB, START and frozen on 512 fresh seeds with by_quartile (sum and sumsq only in ig, ib-re, fa-re, confirm-ig). ig-a, ig-b, ig-c (5 each; three batches so no canary holds ten for two hours): TEMPLATE below, START = IG. Keys gNN-sSS-hHH-pPP (sigma0 0.0SS, cap halving every HH minutes, population PP); g01..05 in ig-a, g06..10 in ig-b, g11..15 in ig-c. Under 100 markets/s an item runs IB and IG on its 1,024 real seeds instead. slope-ig (3: sg-c05-p16, sg-c15-p16, sg-c10-p32): note 2a from IG: a 20th input lambdaHat x sizeHat plus exp(z) multipliers on LAMBDA_COEF, FLOW_SIZE_COEF and the anchor's two k, searched jointly; the result carries the changed port and Solidity and is its own START. wide-ig (3: w16-s30-p16, w16-s20-p32, w12-s30-p16): the kit rerun, from IG not IA (same design, 0.47 ahead on the same holdout): IG in KIT-B, expanded to 16 or 12 units on the diet, identity and gas proven first; result has `weights` (kit weights.json) and code_zb64. ib-re (2), fa-re (2): the stopped IB and FA legs again under note 3 (s30-h40-p16, s20-h60-p16). confirm-ig (2: ig-block-a, ig-block-b): IG against IB, 1,024 fresh real seeds each, gate C, IG's code in plain. Paused ib-long (its 3 held items would run the old rule); scale stays paused. Left ic-long, slope and confirm-ic alone: created seconds before this snapshot, they run EP3's brief. No itemsFrom: goal.json shows no item vars to match a new brief's placeholders. READ (30): all ig, slope-ig, wide-ig, confirm-ig, confirm-ic and ic-long items. ib-re, fa-re, slope and older batches left out: ask if they are not handed. LEDGER, never reuse. Real engine, 1,024-seed blocks (512 used; +512..+527 gas probes): below 8040960 taken (EP3); ig gNN 8040960+1024(NN-1); slope-ig 8056320, 8057344, 8058368; wide-ig 8059392, 8060416, 8061440; ib-re 8062464, 8063488; fa-re 8064512, 8065536; confirm-ig 8066560, 8067584 (whole blocks); next free 8068608. Replica train, 4,000,000-seed blocks: ig 1012000000+4000000(NN-1); slope-ig 1072000000+; wide-ig 1084000000+; ib-re 1096000000, 1100000000; fa-re 1104000000, 1108000000; next free 1112000000. Holdout: next round 41030000..+8191, then +10000 a round. ES seeds used: up to 20261196. NEXT EPISODE. 1. Per result: blocked, speed, cpus, M, generations. Rank trained legs by holdout frozen_vs_IB (se near 0.008); slope-ig and wide-ig give frozen_vs_start: add IG-minus-IB from any ig leg (frozen_vs_IB minus frozen_vs_start). Check real paired_vs_IB (se near 0.03) agrees. 2. IG against IB: pool confirm-ig's blocks with each ig leg's START-minus-IB on its 512 seeds, by sum and sumsq. A file confirmed >= +0.3 over IB on 2,048 fresh seeds: report its code and sha256 to the requester. 3. A next START's id is the SHA-256 the task text gives for a handed result; fetch https://api.imd.fun/artifacts/<id> once before briefing with it. 4. Round 2, about 28 items in batches of 5: TEMPLATE from the best leg (most items) and the next two; a child's gate B: 'START's replica gain over IG (its parent, same port: <IG's URL>) on <the child's real seeds> within 0.15 of <its real paired_vs_start>'; holdout 41030000; settings near what gained most per generation; continue slope-ig or wide-ig from its own result if it beat the plain legs. Same episode: a 2-item confirmation of the best leg (confirm-ig's brief: SETUP, gate C, IB and CAND on 1,024 seeds each; promote at > 2 se). 5. Cancel ib-long and scale once none of their items runs: frees 6 held items. 6. Budget: 133 items (139 after step 5), episodes 5..10: rounds in 5 to 8, the final 2,048-seed confirmation in 9, finish in 10. Requester notes started three of four episodes early: spawn the next round in whatever episode starts. Keep every filled brief under 3,000 characters (these: 1,563 to 2,949). TEMPLATE (ig leg; vars esseed, pop, sigma, half, train, real; <NOTE3> = note 3's quoted sentence): One leg of a training relay; a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: <NOTE3> FILES (`_zb64` = base64 of zlib; check each sha256). START = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64` (Solidity), `port_zb64` (its port; W = 1, feature_multipliers, feature_offsets, W1, b1, W2, b2 flattened: 217 numbers), `params`, `sources` (URLs: `IA` (`params`: IA's weights), `replica` (`replica_source`), `RS2_port` (`differential_test_source`: an EVM test to adapt)). IB = the goal's IB file: `code_zb64`, `port_zb64` (its own port: `port_notes`), `params`. 1. SETUP; fetch and check the files. 2. Gate A on START. Gate B: START's replica gain over IA on seeds 7232768..7233279 within 0.15 of the real +0.507. S = steady-state replica markets/s of START's port on the search's own pool (pool start and compile excluded). A failed gate: return your measurements with blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023; return that. 3. Search: CMA-ES (pycma) over the 178 weights from START's frozen `params` (never an ES-state vector); scale per weight = RMS of its group (W1, b1, W2, b2); ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. Every 10 generations score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor weights rounded to 1e-6: START's Solidity with only the weight constants replaced. Gate C on it. 5. Replica holdout, once: frozen, START's and IB's weights (IB in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, each alone, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes with START's keys: blocked; gates{A,B,C}; speed{markets_per_s,cpus}; search{generations,search_minutes,M,curve: up to 40 rows [generation, minutes, monitor gain over START, se, sigma]}; params (START's with the frozen W1,b1,W2,b2); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256; sources; holdout{frozen_vs_start,frozen_vs_IB: n,mean_diff,se}; real per the objective with paired_vs_IB, paired_vs_start (each also sum, sumsq) and by_quartile of IB's retail volume (q1 quietest: n, mean_diff vs IB, se); gas; valid; notes. If nothing beat START on the monitor, return START's weights and say so.

   1 step

   ig-a, item by itemig-b, item by itemig-c, item by itemslope-ig, item by itemwide-ig, item by itemib-re, item by itemfa-re, item by itemconfirm-ig, item by item

5. Round 5j5-a5 of 5 backj5-b5 of 5 backj5-c5 of 5 backj5-d5 of 5 backig-joint5 of 5 backj5-dietrefused, never ran

   Agent #2 planned it.

   The plane refused 5 of its decisions. The next round is told why.

   what j5-a was asked

   A training relay leg: a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (`_zb64` = base64 of zlib; check sha256s). START = J5 = https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6: `code_zb64`, `params` (W1, b1, W2, b2; `constants`: 41 names, each [IA's value, J5's value]), `notes` (its port, constants and freeze). IA = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `port_zb64` (J5's port once changed as J5's notes say), `params`. IB = the goal's IB file (`code_zb64`, `port_zb64`, `params`); its `hashes.artifact_urls`: `rep` (`replica_source`), `port` (`differential_test_source`, an EVM test to adapt). 1. SETUP; fetch and check. If the simulator wheel cannot install (not Linux x86_64), install the rest and skip step 6 (real = null). 2. Gate A: the port with J5's values against J5's Solidity. Gate B: J5's replica gain over IA on seeds 7672000..7672511 within 0.15 of the real +0.876. S = steady-state replica markets/s on the search's own pool. A failed gate: return blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023. 3. Search as J5's `search.settings`: CMA-ES (pycma) over z (219 numbers), z = 0 at START's frozen values: weight = start + 0.05 x rms(its block) x z; constant = start x 2^(0.03 z), a decay d through 1-d, integers rounded. ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. From minute 0, every 5 search minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor point as J5's notes say. Gate C on it. 5. Replica holdout, once: frozen, START and IB (in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes: blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,minutes,M,curve: up to 40 rows [minutes, monitor gain over START, se, sigma]}; params (W1, b1, W2, b2; constants as [IA's value, yours]); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (as run); holdout{frozen_vs_start,frozen_vs_IB,start_vs_IB: n,mean_diff,se}; real per the objective: frozen and START each paired vs IB (n,mean_diff,se,sum,sumsq,worst5), frozen vs START, retail/arb deltas, by_quartile of IB's retail volume (q1 quietest: n, mean_diff, se); gas; valid; notes.

   what j5-b was asked

   A training relay leg: a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (`_zb64` = base64 of zlib; check sha256s). START = J5 = https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6: `code_zb64`, `params` (W1, b1, W2, b2; `constants`: 41 names, each [IA's value, J5's value]), `notes` (its port, constants and freeze). IA = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `port_zb64` (J5's port once changed as J5's notes say), `params`. IB = the goal's IB file (`code_zb64`, `port_zb64`, `params`); its `hashes.artifact_urls`: `rep` (`replica_source`), `port` (`differential_test_source`, an EVM test to adapt). 1. SETUP; fetch and check. If the simulator wheel cannot install (not Linux x86_64), install the rest and skip step 6 (real = null). 2. Gate A: the port with J5's values against J5's Solidity. Gate B: J5's replica gain over IA on seeds 7672000..7672511 within 0.15 of the real +0.876. S = steady-state replica markets/s on the search's own pool. A failed gate: return blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023. 3. Search as J5's `search.settings`: CMA-ES (pycma) over z (219 numbers), z = 0 at START's frozen values: weight = start + 0.05 x rms(its block) x z; constant = start x 2^(0.03 z), a decay d through 1-d, integers rounded. ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. From minute 0, every 5 search minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor point as J5's notes say. Gate C on it. 5. Replica holdout, once: frozen, START and IB (in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes: blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,minutes,M,curve: up to 40 rows [minutes, monitor gain over START, se, sigma]}; params (W1, b1, W2, b2; constants as [IA's value, yours]); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (as run); holdout{frozen_vs_start,frozen_vs_IB,start_vs_IB: n,mean_diff,se}; real per the objective: frozen and START each paired vs IB (n,mean_diff,se,sum,sumsq,worst5), frozen vs START, retail/arb deltas, by_quartile of IB's retail volume (q1 quietest: n, mean_diff, se); gas; valid; notes.

   what j5-c was asked

   A training relay leg: a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (`_zb64` = base64 of zlib; check sha256s). START = J5 = https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6: `code_zb64`, `params` (W1, b1, W2, b2; `constants`: 41 names, each [IA's value, J5's value]), `notes` (its port, constants and freeze). IA = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `port_zb64` (J5's port once changed as J5's notes say), `params`. IB = the goal's IB file (`code_zb64`, `port_zb64`, `params`); its `hashes.artifact_urls`: `rep` (`replica_source`), `port` (`differential_test_source`, an EVM test to adapt). 1. SETUP; fetch and check. If the simulator wheel cannot install (not Linux x86_64), install the rest and skip step 6 (real = null). 2. Gate A: the port with J5's values against J5's Solidity. Gate B: J5's replica gain over IA on seeds 7672000..7672511 within 0.15 of the real +0.876. S = steady-state replica markets/s on the search's own pool. A failed gate: return blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023. 3. Search as J5's `search.settings`: CMA-ES (pycma) over z (219 numbers), z = 0 at START's frozen values: weight = start + 0.05 x rms(its block) x z; constant = start x 2^(0.03 z), a decay d through 1-d, integers rounded. ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. From minute 0, every 5 search minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor point as J5's notes say. Gate C on it. 5. Replica holdout, once: frozen, START and IB (in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes: blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,minutes,M,curve: up to 40 rows [minutes, monitor gain over START, se, sigma]}; params (W1, b1, W2, b2; constants as [IA's value, yours]); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (as run); holdout{frozen_vs_start,frozen_vs_IB,start_vs_IB: n,mean_diff,se}; real per the objective: frozen and START each paired vs IB (n,mean_diff,se,sum,sumsq,worst5), frozen vs START, retail/arb deltas, by_quartile of IB's retail volume (q1 quietest: n, mean_diff, se); gas; valid; notes.

   what j5-d was asked

   A training relay leg: a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (`_zb64` = base64 of zlib; check sha256s). START = J5 = https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6: `code_zb64`, `params` (W1, b1, W2, b2; `constants`: 41 names, each [IA's value, J5's value]), `notes` (its port, constants and freeze). IA = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `port_zb64` (J5's port once changed as J5's notes say), `params`. IB = the goal's IB file (`code_zb64`, `port_zb64`, `params`); its `hashes.artifact_urls`: `rep` (`replica_source`), `port` (`differential_test_source`, an EVM test to adapt). 1. SETUP; fetch and check. If the simulator wheel cannot install (not Linux x86_64), install the rest and skip step 6 (real = null). 2. Gate A: the port with J5's values against J5's Solidity. Gate B: J5's replica gain over IA on seeds 7672000..7672511 within 0.15 of the real +0.876. S = steady-state replica markets/s on the search's own pool. A failed gate: return blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023. 3. Search as J5's `search.settings`: CMA-ES (pycma) over z (219 numbers), z = 0 at START's frozen values: weight = start + 0.05 x rms(its block) x z; constant = start x 2^(0.03 z), a decay d through 1-d, integers rounded. ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. From minute 0, every 5 search minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor point as J5's notes say. Gate C on it. 5. Replica holdout, once: frozen, START and IB (in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes: blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,minutes,M,curve: up to 40 rows [minutes, monitor gain over START, se, sigma]}; params (W1, b1, W2, b2; constants as [IA's value, yours]); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (as run); holdout{frozen_vs_start,frozen_vs_IB,start_vs_IB: n,mean_diff,se}; real per the objective: frozen and START each paired vs IB (n,mean_diff,se,sum,sumsq,worst5), frozen vs START, retail/arb deltas, by_quartile of IB's retail volume (q1 quietest: n, mean_diff, se); gas; valid; notes.

   what ig-joint was asked

   A training relay leg: a later leg starts from your result. Follow the goal's objective exactly, and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (`_zb64` = base64 of zlib; check sha256s). START = IG = https://api.imd.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979: `code_zb64`, `port_zb64` (IA's port), `params` (W1, b1, W2, b2), `sources` (URLs: `IA` (`params`), `replica` (`replica_source`), `RS2_port` (`differential_test_source`, an EVM test to adapt)). J5 = https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6: `params.constants` (41 names, each [IA's value, J5's value]) and `notes` (how J5 changed the port and froze). START's constants are IA's values. IB = the goal's IB file. 1. SETUP; fetch and check. If the simulator wheel cannot install (not Linux x86_64), install the rest and skip step 6 (real = null). 2. Gate A: the changed port with START's values against IG's Solidity. Gate B: IG's replica gain over IA on seeds 7232768..7233279 within 0.15 of the real +0.507. S = steady-state replica markets/s on the search's own pool. A failed gate: return blocked={step,error}. S under 100: no search; step 6 for IB and START on seeds {{real}}..+1023. 3. Search as J5's `search.settings`: CMA-ES (pycma) over z (219 numbers), z = 0 at START's frozen values: weight = start + 0.05 x rms(its block) x z; constant = start x 2^(0.03 z), a decay d through 1-d, integers rounded. ES seed {{esseed}}; population {{pop}}; sigma0 {{sigma}}, capped at sigma0 x 0.5^(search minutes/{{half}}). Generation g scores all proposals by mean edge on the same M replica markets (512 if S >= 300, else 256), seeds {{train}}+Mg up, never reused. From minute 0, every 5 search minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Search until 30 minutes before your time ends. 4. Freeze the best-monitor point as J5's notes say. Gate C on it. 5. Replica holdout, once: frozen, START and IB (in its own port), seeds 41010000..41018191, paired. 6. REAL ENGINE, once: IB's Solidity, START's and the frozen one, seeds {{real}}..+511. RESULT: one JSON object under 60,000 bytes: blocked; gates{A,B,C}; speed{markets_per_s,processes}; search{generations,minutes,M,curve: up to 40 rows [minutes, monitor gain over START, se, sigma]}; params (W1, b1, W2, b2; constants as [IA's value, yours]); code_zb64, code_sha256 (frozen Solidity); port_zb64, port_sha256 (as run); holdout{frozen_vs_start,frozen_vs_IB,start_vs_IB: n,mean_diff,se}; real per the objective: frozen and START each paired vs IB (n,mean_diff,se,sum,sumsq,worst5), frozen vs START, retail/arb deltas, by_quartile of IB's retail volume (q1 quietest: n, mean_diff, se); gas; valid; notes.

   what j5-diet was asked

   Kit work for a training relay: put J5 on the gas diet, so that later legs can widen its head. No search. Follow the goal's objective (SETUP, REAL ENGINE) exactly, and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check each sha256). J5 = https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6: `code_zb64` (Solidity: IA's, with the head and 41 constants changed), `params` (W1, b1, W2, b2; `constants`: each [IA's value, J5's value]), `notes` (which constants, how they are frozen). KIT-B = the goal's kit (`decode_instructions`): port.py, harness.py, IAD.sol (IA on the diet), weights.json (IA). IB = the goal's IB file (`code_zb64`). 1. SETUP; fetch, check and decode; the kit's tests pass. 2. Make the kit carry J5's constants: port.py, the harness's emit and freeze, and IAD.sol read the 41 constants from an optional `constants` object in the weights file (absent = IA's values, and then the kit's output for IA is unchanged byte for byte). Write weights_j5.json (J5's head and constants) and freeze it: J5D.sol. 3. Prove J5D is J5: EVM fees of J5D against J5's Solidity over 50 x 2,000 callbacks (mismatches, max difference); the kit port with weights_j5 against J5D, < 0.01 bps; REAL ENGINE: J5, J5D and IB, each alone, seeds 0..99 and {{real}}..+511: J5D's edge equal to J5's on every seed. 4. Gas: gas_stats of J5 and J5D; then weights_j5 expanded to 16 units (`expand`, every zero weight set to 1e-6), frozen, on seeds {{real}}+512..+527: afterSwap peak, OOG. 5. Extend the harness's `train` to search the head and the 41 constants together as J5's `search.settings` say (weight = start + 0.05 x rms(block) x z; constant = start x 2^(0.03 z), a decay d through 1-d, integers rounded), starting from a weights file; run 3 generations of 256 markets at 8 and at 16 units and report steady-state replica markets/s for each (seeds 1212000000 up). RESULT: one JSON object under 60,000 bytes: blocked; every kit file you changed or added as `<key>_zb64` with `<key>_sha256` (unchanged files: the sha256 only), weights_j5 and J5D.sol among them; decode_instructions; the exact commands to expand, train, freeze, holdout and real with constants; identity{regression,fresh: n, identical, max_abs_difference}; gates; gas{J5,J5D,wide16: afterSwap_peak, afterInitialize_peak, oog}; speed{units 8, units 16}; real: J5 paired vs IB on the fresh seeds (n, mean_diff, se, sum, sumsq, worst5), retail and arb deltas, by_quartile of IB's retail volume (q1 quietest); valid; notes saying what was not checked. If a step fails, return what you measured with blocked={step,error}.

   the whole memo

   EP5: woke on requester note 4 (J5 is the best file; every continuation joint from now on; J5 main baton, IG second). Handed 5 results, none trained: ic-long/ic-s30-h40-p32 and slope/slope-c15-p16 blocked at SETUP on macOS arm64 seats (the simulator wheel is Linux x86_64 only); scale/u16-single-a stopped by the old speed rule on a 2-CPU seat (130 markets/s; 16-unit IA on the diet probed at afterSwap 132,923, 0 OOG); kit-ib-a and kit-ib-b completed. Of 11 results so far: 7 stopped by the old speed rule (2-CPU Linux seats at 124..172 markets/s, or the kit's slower port), 2 on Macs, 2 kit items done. No weights of ours have moved yet; EP4's 27 items had not started at this snapshot. LEARNED. - kit-ib (both items agree): IBD = IB on the gas diet has exactly IB's edge on real seeds 0..99 and on 512 fresh seeds (max difference 0.0); afterSwap peak 131,239 / 131,559 against IB's 237,021; a 16-unit probe 132,040 / 132,328, 0 OOG; gates A, B, C pass; kit speed 381 and 226 markets/s on 8 processes. kit-ib-a = b0acc9f9d841959bb584d2f698d368d1278316151fe604c01bde486e5cd332bb, kit-ib-b = 8c09856cacb7e59adec8a8ad1a5efbdc3c5e1c2974279e1e37d7c46b4db0878f, both served at https://api.imd.fun/artifacts/<id> (fetched, hashes equal). The diet works: doubling the head costs about 1,000 gas. IB's own line is about 0.6 behind J5, so widening IB is parked. - J5 = fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6 (fetched; plain fields read, nothing unpacked or run): keys code_zb64, code_sha256 dd53db1f..., params (W1, b1, W2, b2; `constants`: 41 names, each [IA's value, J5's value]; constants_x), search.settings, notes; NO port_zb64 and no sources. It ran IA's port (b29cd2a0..., `port_zb64` of IA's file df0ddfdf... and of IG's) with the anchor literals and TH turned into arguments. Search: pycma, 219 numbers, population 16, 512 markets a generation, sigma0 1 in z capped at 0.5^(minutes/30), monitor every 5 minutes, 1,496 generations in 40.8 minutes at 5,264 markets/s on 32 processes; monitor still rising (+0.026 in the last 5 minutes). Real on 7672000..7672511: +0.876 se 0.035 over IA, +1.219 over HA (retail -0.08, arb +0.96 against IA); holdout 40000000..+8191 +0.826 over IA. afterSwap peak 237,419, 0 OOG. Never yet paired with IB: about +0.6 by IA's distance. - A leg's result must carry what J5 lacks (port_zb64) so a child can be a START as it is. DECIDED (28 items; 95 of 200 used at most). Cancelled ig-a, ig-b, ig-c, ib-re, fa-re (head-only legs; note 4, later than note 3's rerun request, makes every continuation joint), slope-ig, wide-ig (head-only variants from IG), and ib-long and scale (to release 3 held items each; a cancelled batch's running items still finish and their results still arrive, as ib-r1's did). Left confirm-ig, confirm-ic, ic-long, slope, fa-long alone. If the EP4 items had already started, their results will exist: ask for them in `read` by name only if wanted. j5-a, j5-b, j5-c, j5-d (5 each, batches of 5 so no canary holds): one joint leg from J5 each. Keys jNN-sSS-hHH-pPP: sigma0 0.SS in z (s03 = 0.3 .. s07 = 0.7), cap halving every HH minutes, population PP. The brief in goal.json under j5-a is the joint TEMPLATE. ig-joint (5: gjNN-...): the same from IG's head with IA's constants (sigma0 1.0 or 0.7, as J5 started), the second line. j5-diet (3: j5d-a, j5d-b, j5d-c): kit work, no search: KIT-B made to carry J5's 41 constants, J5D.sol = J5 on the diet proven equal to J5 per seed (real seeds 0..99 and 512 fresh), gas of a 16-unit expansion, the kit's `train` extended to the joint search, kit speed at 8 and 16 units; J5 paired with IB on its fresh seeds. Every leg: note 3's sentence word for word; M = 512 at S >= 300, else 256; search until 30 minutes before the item's time ends; monitor = ES mean every 5 search minutes on 30000000..30002047; holdout 41010000..41018191 (the same seeds as every earlier leg, so all lines compare; frozen, START and IB); real = IB, START and frozen on 512 fresh seeds with sum, sumsq and by_quartile; under 100 markets/s IB and START on 1,024 real seeds instead; a machine that cannot install the wheel does everything but the real engine (real = null). No slope batch this round: the joint search already moves LAMBDA_COEF, FLOW_SIZE_COEF and the anchor's k (note 2a's constants; J5 barely moved them: 0.0012 to 0.00136, 0.4842 to 0.4737), and J5 has 7,600 gas left, too little to be sure of a 20th input. The volume-regime input belongs on the diet line once j5-diet holds. `slope` (from IC, 2 items running) is in `read`. READ (30): the 20 j5 legs, 5 ig-joint, 3 j5-diet, slope/slope-c05-p16, slope/slope-c10-p32. LEDGER, never reuse. Real engine, 1,024-seed blocks (512 used; +512..+527 gas probes): below 8068608 taken (EP1..4); j5 leg jNN 8068608+1024(NN-1) (NN 01..20); ig-joint gjNN 8089088+1024(NN-1); j5-diet 8094208, 8095232, 8096256; next free 8097280. Replica train, 4,000,000-seed blocks: jNN 1112000000+4000000(NN-1); gjNN 1192000000+4000000(NN-1); j5-diet's smoke test 1212000000; next free 1216000000. Holdout: 41010000..41018191 used by every leg so far; a fresh one is 41030000..+8191. ES seeds used: up to 20261225. NEXT EPISODE. 1. Per result: blocked, speed, processes, M, generations, minutes. A handed result's id is the SHA-256 the task text gives for it; it is served at https://api.imd.fun/artifacts/<id> (fetch once before briefing with it). 2. J5 against IB: pool every j5 leg's START-vs-IB by sum and sumsq (512 seeds a leg, plus j5-diet's). At n >= 2,048 and mean >= +0.3 tell the requester in the notes that J5 (code sha256 dd53db1f...) is confirmed, with n, mean, se. 3. Rank trained legs of both lines by holdout frozen_vs_IB (se about 0.009; same seeds), check real frozen-vs-IB (se about 0.03) agrees and valid is true (peak <= 245,000, 0 OOG). A leg with real = null ranks by holdout only. 4. Round 2 (about 25 legs in batches of 5, most from the best leg, some from the next two): the TEMPLATE with START = the child's URL; its FILES shrink (START carries `port_zb64` and `params.constants`; IA's file only for gate B); gate A on START's own port and Solidity; gate B: 'START's replica gain over J5 (J5's values in the same port) on <the child's real seeds> within 0.15 of <its real frozen-vs-START>'; z = 0 at the child's frozen values; sigma0 near what gained most per minute (a child of a long leg wants a smaller one, 0.2 to 0.4). Use holdout 41030000..+8191 for round 2 so the chosen START is scored without selection. Same episode: confirm-r2 (2 items; EP2's CONFIRM brief plus note 3's sentence, sum, sumsq, by_quartile; CAND = the best leg, 1,024 fresh seeds each); promote at > 2 se; a file confirmed >= +0.3 over IB on 2,048 seeds goes to the requester with its complete code and sha256. 5. j5-diet: if J5D equals J5 per seed and the 16-unit probe is far under 245,000, give 5 to 8 of round 2's items to a wide line: START = the j5-diet result's URL (its kit files, weights_j5, its commands), 16 units, the kit's joint `train` from the best leg's values (new output weights 0), identity and gas proven before training, only where the kit runs at >= 100 markets/s. If `slope` shows the 20th input gaining over its START, add that input on this line. 6. Budget: read goal.items.used (cancelled batches may have returned items). About 105 left: round 2 and round 3 about 30 each (episodes 6, 7), round 4 about 25 with a final 2,048-seed confirmation of the best file (episode 8), repairs in 9, finish in 10. Requester notes have started every episode early (five episodes in about 80 minutes): if an episode starts with nothing new, spawn nothing twice; decide what the note asks, keep the running batches and set the wake. 7. The write-up needs: the final file's URL, code and sha256, its paired real gain over IB {n, mean_diff, se, worst5} on fresh seeds, retail/arb deltas, quartiles, gas, the curve by round (IB, IG, J5, each round's best), the seat mix, and what was not checked.

   1 step

   j5-a, item by itemj5-b, item by itemj5-c, item by itemj5-d, item by itemig-joint, item by item

6. Round 6t3-a2 of 5 backt3-b1 of 5 backt3-c2 of 5 backt3-d2 of 5 backj11-a0 of 3 backconfirm-t032 of 2 back

   Agent #2 planned it.

   what t3-a was asked

   One relay leg; the next starts from your result. Follow the goal's objective exactly and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check sha256s). START = https://api.imd.fun/artifacts/{{start}}: `code_zb64` (Solidity), `params` (W1, b1, W2, b2, 41 `constants`{{cval}}). PORT = {{port}}: IA's port with its three anchor literals read from W[NW..NW+2] and TH passed in with W, so the 41 constants are arguments (per START's notes). Replica: `replica_source` at the IB file's `hashes.artifact_urls.rep`; IB in its own port. 1. SETUP; fetch and check the files. 2. Gate A: PORT with START's values vs START's Solidity, 50 x 2,000 callbacks in commands of 10 sequences, < 0.01 bps. Gate B: {{gateb}}. S = steady-state replica markets/s on the search's warmed pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES (pycma) over 219 z (178 weights, 41 constants), z = 0 at START: weight = start + 0.03 rms(its block) z; constant = start 2^(0.02 z) (exponent clipped to [-1,1]; decays via 1-d; integers rounded). ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256), seeds from {{train}} up, never reused; fitness = mean edge. Every 5 minutes score the ES mean vs START on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends (45 if S < 300). 4. Freeze the best point into START's Solidity (weights 1e-6, constants WAD, integers), changing only those literals. Gate C, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41030000..41038191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300), 64-seed chunks each its own command, saved under scratch/; START's arm only if time remains. RESULT, one JSON object under 60,000 bytes with START's keys (the next leg's START): blocked; gates; speed{markets_per_s,cpus}; search{generations,minutes,M,curve [minutes, gain over START, se, sigma]}; params (frozen; constants as name: value); code_zb64, code_sha256; port_zb64, port_sha256; holdout and real: frozen_vs_start, frozen_vs_IB, start_vs_IB as n, mean_diff, se (real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume); gas{afterSwap_peak per arm, oog}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START, return START's values and say so.

   what t3-b was asked

   One relay leg; the next starts from your result. Follow the goal's objective exactly and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check sha256s). START = https://api.imd.fun/artifacts/{{start}}: `code_zb64` (Solidity), `params` (W1, b1, W2, b2, 41 `constants`{{cval}}). PORT = {{port}}: IA's port with its three anchor literals read from W[NW..NW+2] and TH passed in with W, so the 41 constants are arguments (per START's notes). Replica: `replica_source` at the IB file's `hashes.artifact_urls.rep`; IB in its own port. 1. SETUP; fetch and check the files. 2. Gate A: PORT with START's values vs START's Solidity, 50 x 2,000 callbacks in commands of 10 sequences, < 0.01 bps. Gate B: {{gateb}}. S = steady-state replica markets/s on the search's warmed pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES (pycma) over 219 z (178 weights, 41 constants), z = 0 at START: weight = start + 0.03 rms(its block) z; constant = start 2^(0.02 z) (exponent clipped to [-1,1]; decays via 1-d; integers rounded). ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256), seeds from {{train}} up, never reused; fitness = mean edge. Every 5 minutes score the ES mean vs START on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends (45 if S < 300). 4. Freeze the best point into START's Solidity (weights 1e-6, constants WAD, integers), changing only those literals. Gate C, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41030000..41038191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300), 64-seed chunks each its own command, saved under scratch/; START's arm only if time remains. RESULT, one JSON object under 60,000 bytes with START's keys (the next leg's START): blocked; gates; speed{markets_per_s,cpus}; search{generations,minutes,M,curve [minutes, gain over START, se, sigma]}; params (frozen; constants as name: value); code_zb64, code_sha256; port_zb64, port_sha256; holdout and real: frozen_vs_start, frozen_vs_IB, start_vs_IB as n, mean_diff, se (real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume); gas{afterSwap_peak per arm, oog}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START, return START's values and say so.

   what t3-c was asked

   One relay leg; the next starts from your result. Follow the goal's objective exactly and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check sha256s). START = https://api.imd.fun/artifacts/{{start}}: `code_zb64` (Solidity), `params` (W1, b1, W2, b2, 41 `constants`{{cval}}). PORT = {{port}}: IA's port with its three anchor literals read from W[NW..NW+2] and TH passed in with W, so the 41 constants are arguments (per START's notes). Replica: `replica_source` at the IB file's `hashes.artifact_urls.rep`; IB in its own port. 1. SETUP; fetch and check the files. 2. Gate A: PORT with START's values vs START's Solidity, 50 x 2,000 callbacks in commands of 10 sequences, < 0.01 bps. Gate B: {{gateb}}. S = steady-state replica markets/s on the search's warmed pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES (pycma) over 219 z (178 weights, 41 constants), z = 0 at START: weight = start + 0.03 rms(its block) z; constant = start 2^(0.02 z) (exponent clipped to [-1,1]; decays via 1-d; integers rounded). ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256), seeds from {{train}} up, never reused; fitness = mean edge. Every 5 minutes score the ES mean vs START on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends (45 if S < 300). 4. Freeze the best point into START's Solidity (weights 1e-6, constants WAD, integers), changing only those literals. Gate C, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41030000..41038191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300), 64-seed chunks each its own command, saved under scratch/; START's arm only if time remains. RESULT, one JSON object under 60,000 bytes with START's keys (the next leg's START): blocked; gates; speed{markets_per_s,cpus}; search{generations,minutes,M,curve [minutes, gain over START, se, sigma]}; params (frozen; constants as name: value); code_zb64, code_sha256; port_zb64, port_sha256; holdout and real: frozen_vs_start, frozen_vs_IB, start_vs_IB as n, mean_diff, se (real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume); gas{afterSwap_peak per arm, oog}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START, return START's values and say so.

   what t3-d was asked

   One relay leg; the next starts from your result. Follow the goal's objective exactly and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check sha256s). START = https://api.imd.fun/artifacts/{{start}}: `code_zb64` (Solidity), `params` (W1, b1, W2, b2, 41 `constants`{{cval}}). PORT = {{port}}: IA's port with its three anchor literals read from W[NW..NW+2] and TH passed in with W, so the 41 constants are arguments (per START's notes). Replica: `replica_source` at the IB file's `hashes.artifact_urls.rep`; IB in its own port. 1. SETUP; fetch and check the files. 2. Gate A: PORT with START's values vs START's Solidity, 50 x 2,000 callbacks in commands of 10 sequences, < 0.01 bps. Gate B: {{gateb}}. S = steady-state replica markets/s on the search's warmed pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES (pycma) over 219 z (178 weights, 41 constants), z = 0 at START: weight = start + 0.03 rms(its block) z; constant = start 2^(0.02 z) (exponent clipped to [-1,1]; decays via 1-d; integers rounded). ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256), seeds from {{train}} up, never reused; fitness = mean edge. Every 5 minutes score the ES mean vs START on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends (45 if S < 300). 4. Freeze the best point into START's Solidity (weights 1e-6, constants WAD, integers), changing only those literals. Gate C, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41030000..41038191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300), 64-seed chunks each its own command, saved under scratch/; START's arm only if time remains. RESULT, one JSON object under 60,000 bytes with START's keys (the next leg's START): blocked; gates; speed{markets_per_s,cpus}; search{generations,minutes,M,curve [minutes, gain over START, se, sigma]}; params (frozen; constants as name: value); code_zb64, code_sha256; port_zb64, port_sha256; holdout and real: frozen_vs_start, frozen_vs_IB, start_vs_IB as n, mean_diff, se (real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume); gas{afterSwap_peak per arm, oog}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START, return START's values and say so.

   what j11-a was asked

   One relay leg; the next starts from your result. Follow the goal's objective exactly and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check sha256s). START = https://api.imd.fun/artifacts/{{start}}: `code_zb64` (Solidity), `params` (W1, b1, W2, b2, 41 `constants`{{cval}}). PORT = {{port}}: IA's port with its three anchor literals read from W[NW..NW+2] and TH passed in with W, so the 41 constants are arguments (per START's notes). Replica: `replica_source` at the IB file's `hashes.artifact_urls.rep`; IB in its own port. 1. SETUP; fetch and check the files. 2. Gate A: PORT with START's values vs START's Solidity, 50 x 2,000 callbacks in commands of 10 sequences, < 0.01 bps. Gate B: {{gateb}}. S = steady-state replica markets/s on the search's warmed pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES (pycma) over 219 z (178 weights, 41 constants), z = 0 at START: weight = start + 0.03 rms(its block) z; constant = start 2^(0.02 z) (exponent clipped to [-1,1]; decays via 1-d; integers rounded). ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256), seeds from {{train}} up, never reused; fitness = mean edge. Every 5 minutes score the ES mean vs START on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends (45 if S < 300). 4. Freeze the best point into START's Solidity (weights 1e-6, constants WAD, integers), changing only those literals. Gate C, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41030000..41038191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300), 64-seed chunks each its own command, saved under scratch/; START's arm only if time remains. RESULT, one JSON object under 60,000 bytes with START's keys (the next leg's START): blocked; gates; speed{markets_per_s,cpus}; search{generations,minutes,M,curve [minutes, gain over START, se, sigma]}; params (frozen; constants as name: value); code_zb64, code_sha256; port_zb64, port_sha256; holdout and real: frozen_vs_start, frozen_vs_IB, start_vs_IB as n, mean_diff, se (real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume); gas{afterSwap_peak per arm, oog}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START, return START's values and say so.

   what confirm-t03 was asked

   Confirm one candidate against IB on the real engine: no search, no port. Follow the goal's objective exactly (SETUP, REAL ENGINE), and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (`_zb64` = base64 of zlib; check sha256s). CAND = T03 = https://api.imd.fun/artifacts/2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336: `code_zb64` (Solidity, sha256 cb6d945511e1e10af78baa64c2a6cb25806f0998403ce6440654bfc3c70092d9), `params`. IB = the goal's IB file: `code_zb64` (sha256 301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686). 1. SETUP; fetch and check the files; decode both Solidity files, check their sha256s, and pass each through `amm-match validate`. 2. REAL ENGINE, once: IB's Solidity and CAND's, each alone against the 30 bps VanillaStrategy, seeds {{real}}..+1023 (every seed used once, none outside this block), in 64-seed chunks, each chunk its own command (under 8 minutes) with its results saved under scratch/ before the next; gas_stats reset before and read after every chunk, aggregated per arm (sum of counts, max of peaks). RESULT: one JSON object under 60,000 bytes: seeds; paired_vs_IB (CAND minus IB, per seed): n, mean_diff, se, sum, sumsq, median, share_positive, worst5 and best5 as [seed, diff]; diffs: the 1,024 paired differences in seed order, rounded to 1e-4; by_quartile of IB's retail volume (q1 quietest: n, mean_diff, se); retail and arb volume deltas (mean per market, se); mean_edge per arm; gas{afterSwap_peak and afterInitialize_peak per arm, oog, other failures, calls}; valid (false on any OOG or a peak over 245,000); code_sha256 of each Solidity as run; notes (what ran, what did not). Report only what you measured; no leaderboard claim.

   the whole memo

   EP6: woke on requester note 5 (T03 is the best file; confirm it on two blocks from 8700000; make it the main baton). Handed 30 results, 25 old. New: j5-c/j11, our first trained joint leg (below); j03 (6 CPUs, 198 markets/s, 49 generations, no gain, real engine unfinished); j09 (92 markets/s, no search: J5 vs IB +0.562 se 0.030, n 1,024); j17 (seat could not reach api.imd.fun); gj03 (+0.263 over IB). 16 j5 and 4 ig-joint legs still run EP5's brief from J5/IG, not cancelled (cancel frees nothing once items run). FACTS (plain fields read; ids = sha256 of the served bytes, checked; nothing unpacked or run). - T03 = 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336, code sha256 cb6d9455...: code_zb64, params (W1, b1, W2, b2, constants = 41 names each ONE frozen value, scaling), notes. Real vs IB on 8588000..8589023: +0.819 se 0.060 (seed 8588481 +55.7; without it +0.765 se 0.026); afterSwap 235,575, 0 OOG. NO port_zb64: its port = port_zb64 of IG's file ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979 (IA's port, sha256 b29cd2a0...) with the three anchor literals read from W[NW..NW+2] and TH passed in with W (the j5 legs built it from J5's notes; gate A 0.00015 bps). Search: sigma0 1.0 capped 0.5^(min/30), ended at sigma 0.27 still rising after 1,598 generations. - J11 = cd8559ed66c20cec062b6edf56ccd990c7c8638a70c457a8315bda6b61fdebce (best own leg, from J5): code ea4047d3..., has port_zb64 and port_usage; params.constants = name: [IA value, J11 value]. 492 generations in 62 min (8 CPUs, 1,100 markets/s); sigma at the cap from 10 min, monitor flat after 40 min (cap too fast). Holdout 41010000..+8191: +0.612 se 0.011 over IB, +0.065 se 0.005 over J5; real 8078848..+511: +0.595 se 0.039 over IB, +0.091 se 0.018 over J5; afterSwap 237,673. - The real engine, not the search, breaks slow seats (6 CPUs: 128 markets over 460 s; gate A as one command timed out): hence the template's chunked gate A, 64-seed real chunks, IB and frozen arms only, 256 real seeds and a 45-minute reserve under 300 markets/s. - j5-diet was refused (a brief must never ask for a command's printed output); the diet/wide line stays parked. DECIDED (25 items; 111 of 200 used at most). Every brief carries note 3's sentence word for word. - confirm-t03 (2: t03-block-a/b): T03 vs IB on 8700000..8701023 and 8701024..8702047, no search, no port; per-seed diffs, worst/best five, quartiles, gas. At pooled >= +0.3 tell the requester T03 is confirmed with n, mean, se. - t3-a..t3-d (5 each, kNN-sSS-hHH-pPP): TEMPLATE legs from T03; sigma0 0.SS (0.3..0.7), cap halving every HH minutes (30..90), population PP. - j11-a (3: jc01..jc03): TEMPLATE from J11 (vars: PORT = its own port_zb64; gate B = START minus IB on seeds 8078848..8079359 within 0.15 of +0.595; cval ' as [IA, START]: use the second'), the second line. - All legs: holdout 41030000..41038191 (fresh and shared); monitor = ES mean every 5 minutes on 30000000..30002047; M = 512 at S >= 300 else 256. READ: all 25 new items. Wake: the six batches or 150 minutes. LEDGER, never reuse. Real engine, 1,024-seed blocks (a leg uses 512 or 256 from the block start; a confirmation the whole block): below 8097280 taken; kNN 8097280+1024(NN-1), NN 01..20; jc01..03 8117760, 8118784, 8119808; confirm-t03 8700000..8702047; T03's own 8588000..8589023; next free 8120832. Replica train, 4,000,000-seed blocks: kNN 1216000000+4000000(NN-1); jc0i 1296000000+4000000(i-1); next free 1308000000 (stay below the sister goal's 1400000000). Holdout: round 3 41050000..+8191, then +20000 a round. ES seeds used: up to 20261323. NEXT EPISODE. 1. Per result: blocked, speed, cpus, M, generations, minutes. A result's id is the SHA-256 the task text gives, served at https://api.imd.fun/artifacts/<id>; fetch once before briefing with it. 2. Pool confirm-t03's blocks (sum, sumsq) with T03's own 1,024: n 3,072; report it in the notes. 3. Rank legs by holdout frozen_vs_IB (se about 0.011, same seeds); check real frozen_vs_IB (se about 0.04) agrees, valid true, peak <= 245,000. 4. Round 3 (about 25 legs in batches of 5): the TEMPLATE with START = the best leg's URL; port var 'START's own `port_zb64`'; cval ''; gateb 'START minus IB on the replica, seeds <the leg's real seeds>, within 0.15 of the real <its frozen_vs_IB>'; holdout 41050000..+8191; sigma0 near the leg's final sigma; cap half-life 45..90. 3..5 legs to the second-best. Same episode: confirm the best leg vs IB on two fresh 1,024-seed blocks (the confirm-t03 brief with CAND = the leg's URL and code sha256). 5. Budget: about 89 items after this round, episodes 7..10: round 3 about 28 in EP7, round 4 about 25 plus confirmations in EP8, the final 2,048-seed confirmation of the best file in EP9, finish in EP10. When nothing new has landed, keep the running batches and set the wake; never spawn a round twice. Filled briefs are 2,964 characters: a longer var breaks the 3,000 limit. 6. Write-up: the final file's URL, code and sha256, paired real gain over IB {n, mean_diff, se, worst5, best5} on fresh seeds, quartiles, volume deltas (no retail/arb edge split exists), gas, the curve by round (IB 0, J5 +0.55, J11 +0.60, T03 +0.77..0.82), what was not checked. TEMPLATE (leg; vars start, cval, port, gateb, esseed, pop, sigma, half, train, real; T03 vars: cval '', port '`port_zb64` of https://api.imd.fun/artifacts/<IG id> (sha256 b29cd2a0...)', gateb 'START minus IB on the replica, seeds 8588000..8589023, within 0.15 of the real +0.819 (or +0.765 without seed 8588481)'): One relay leg; the next starts from your result. Follow the goal's objective exactly and the requester's rule: '<NOTE3>' FILES (check sha256s). START = https://api.imd.fun/artifacts/{{start}}: `code_zb64` (Solidity), `params` (W1, b1, W2, b2, 41 `constants`{{cval}}). PORT = {{port}}: IA's port with its three anchor literals read from W[NW..NW+2] and TH passed in with W, so the 41 constants are arguments (per START's notes). Replica: `replica_source` at the IB file's `hashes.artifact_urls.rep`; IB in its own port. 1. SETUP; fetch and check the files. 2. Gate A: PORT with START's values vs START's Solidity, 50 x 2,000 callbacks in commands of 10 sequences, < 0.01 bps. Gate B: {{gateb}}. S = steady-state replica markets/s on the search's warmed pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES (pycma) over 219 z (178 weights, 41 constants), z = 0 at START: weight = start + 0.03 rms(its block) z; constant = start 2^(0.02 z) (exponent clipped to [-1,1]; decays via 1-d; integers rounded). ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256), seeds from {{train}} up, never reused; fitness = mean edge. Every 5 minutes score the ES mean vs START on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends (45 if S < 300). 4. Freeze the best point into START's Solidity (weights 1e-6, constants WAD, integers), changing only those literals. Gate C, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41030000..41038191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300), 64-seed chunks each its own command, saved under scratch/; START's arm only if time remains. RESULT, one JSON object under 60,000 bytes with START's keys (the next leg's START): blocked; gates; speed{markets_per_s,cpus}; search{generations,minutes,M,curve [minutes, gain over START, se, sigma]}; params (frozen; constants as name: value); code_zb64, code_sha256; port_zb64, port_sha256; holdout and real: frozen_vs_start, frozen_vs_IB, start_vs_IB as n, mean_diff, se (real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume); gas{afterSwap_peak per arm, oog}; valid (false on any OOG or peak over 245,000); notes. If nothing beat START, return START's values and say so.

   1 step

   t3-a, item by itemt3-b, item by itemt3-c, item by itemt3-d, item by itemj11-a, item by itemconfirm-t03, item by item

7. Round 7t4-a0 of 5 backt4-b1 of 5 backt4-c0 of 5 backt4-d2 of 5 backt4-e1 of 5 backdz-t031 of 2 back

   Agent #39 planned it, 2 attempts.

   what t4-a was asked

   One relay leg from T03; the next starts from your result. Follow the goal's objective and: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' 'If the Linux setup fails on this machine, take the replica-only branch: set R="$PWD/scratch" and quote every path; download https://github.com/astral-sh/uv/releases/latest/download/uv-aarch64-apple-darwin.tar.gz, extract it under "$R" and use that uv; run uv venv --python 3.12 "$R/venv" and uv pip install numpy numba cma; run the CMA search on the replica from the starting file's port and frozen params for the full time; return the trained params, the curve and the replica holdout gain over the start, marked replica_only, without freezing to Solidity or running the real engine.' FILES (check sha256s). START = https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475: `code_zb64` (T03's Solidity), `params`, `port_zb64` (layout in its notes). IB: the goal's IB file in its own port. 1. SETUP; fetch the files. 2. Gate A (T03 reverts only far outside market ranges): 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve, spot within 4x of start, < 0.01 bps; plus 10 uncapped sequences, reported as gates.A.stress, ungated. Gate B: START minus IB on replica seeds 8588000..8589023 within 0.15 of the real +0.819. S = replica markets/s on the warmed search pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES over 219 z, z = 0 at START: weight = start + 0.05 rms(its block) z; constant = start 2^(0.03 z), integers rounded. ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256) from seed {{train}} up, never reused. Every 5 minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends, 45 if S < 300. 4. Freeze the best point into START's Solidity, changing only its literals (weights 1e-6, constants WAD). Gate C as A, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41050000..41058191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300) in 64-seed commands; START too if time remains. RESULT, one JSON object under 60,000 bytes, START's keys: blocked; gates; speed; search{generations,minutes,M,curve}; params; code_zb64, code_sha256; port_zb64, port_sha256; holdout and real {frozen_vs_start, frozen_vs_IB, start_vs_IB: n, mean_diff, se; real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume}; gas{afterSwap_peak, oog}; valid (false on OOG, revert or peak over 245,000); notes. If nothing beat START, say so.

   what t4-b was asked

   One relay leg from T03; the next starts from your result. Follow the goal's objective and: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' 'If the Linux setup fails on this machine, take the replica-only branch: set R="$PWD/scratch" and quote every path; download https://github.com/astral-sh/uv/releases/latest/download/uv-aarch64-apple-darwin.tar.gz, extract it under "$R" and use that uv; run uv venv --python 3.12 "$R/venv" and uv pip install numpy numba cma; run the CMA search on the replica from the starting file's port and frozen params for the full time; return the trained params, the curve and the replica holdout gain over the start, marked replica_only, without freezing to Solidity or running the real engine.' FILES (check sha256s). START = https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475: `code_zb64` (T03's Solidity), `params`, `port_zb64` (layout in its notes). IB: the goal's IB file in its own port. 1. SETUP; fetch the files. 2. Gate A (T03 reverts only far outside market ranges): 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve, spot within 4x of start, < 0.01 bps; plus 10 uncapped sequences, reported as gates.A.stress, ungated. Gate B: START minus IB on replica seeds 8588000..8589023 within 0.15 of the real +0.819. S = replica markets/s on the warmed search pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES over 219 z, z = 0 at START: weight = start + 0.05 rms(its block) z; constant = start 2^(0.03 z), integers rounded. ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256) from seed {{train}} up, never reused. Every 5 minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends, 45 if S < 300. 4. Freeze the best point into START's Solidity, changing only its literals (weights 1e-6, constants WAD). Gate C as A, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41050000..41058191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300) in 64-seed commands; START too if time remains. RESULT, one JSON object under 60,000 bytes, START's keys: blocked; gates; speed; search{generations,minutes,M,curve}; params; code_zb64, code_sha256; port_zb64, port_sha256; holdout and real {frozen_vs_start, frozen_vs_IB, start_vs_IB: n, mean_diff, se; real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume}; gas{afterSwap_peak, oog}; valid (false on OOG, revert or peak over 245,000); notes. If nothing beat START, say so.

   what t4-c was asked

   One relay leg from T03; the next starts from your result. Follow the goal's objective and: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' 'If the Linux setup fails on this machine, take the replica-only branch: set R="$PWD/scratch" and quote every path; download https://github.com/astral-sh/uv/releases/latest/download/uv-aarch64-apple-darwin.tar.gz, extract it under "$R" and use that uv; run uv venv --python 3.12 "$R/venv" and uv pip install numpy numba cma; run the CMA search on the replica from the starting file's port and frozen params for the full time; return the trained params, the curve and the replica holdout gain over the start, marked replica_only, without freezing to Solidity or running the real engine.' FILES (check sha256s). START = https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475: `code_zb64` (T03's Solidity), `params`, `port_zb64` (layout in its notes). IB: the goal's IB file in its own port. 1. SETUP; fetch the files. 2. Gate A (T03 reverts only far outside market ranges): 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve, spot within 4x of start, < 0.01 bps; plus 10 uncapped sequences, reported as gates.A.stress, ungated. Gate B: START minus IB on replica seeds 8588000..8589023 within 0.15 of the real +0.819. S = replica markets/s on the warmed search pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES over 219 z, z = 0 at START: weight = start + 0.05 rms(its block) z; constant = start 2^(0.03 z), integers rounded. ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256) from seed {{train}} up, never reused. Every 5 minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends, 45 if S < 300. 4. Freeze the best point into START's Solidity, changing only its literals (weights 1e-6, constants WAD). Gate C as A, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41050000..41058191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300) in 64-seed commands; START too if time remains. RESULT, one JSON object under 60,000 bytes, START's keys: blocked; gates; speed; search{generations,minutes,M,curve}; params; code_zb64, code_sha256; port_zb64, port_sha256; holdout and real {frozen_vs_start, frozen_vs_IB, start_vs_IB: n, mean_diff, se; real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume}; gas{afterSwap_peak, oog}; valid (false on OOG, revert or peak over 245,000); notes. If nothing beat START, say so.

   what t4-d was asked

   One relay leg from T03; the next starts from your result. Follow the goal's objective and: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' 'If the Linux setup fails on this machine, take the replica-only branch: set R="$PWD/scratch" and quote every path; download https://github.com/astral-sh/uv/releases/latest/download/uv-aarch64-apple-darwin.tar.gz, extract it under "$R" and use that uv; run uv venv --python 3.12 "$R/venv" and uv pip install numpy numba cma; run the CMA search on the replica from the starting file's port and frozen params for the full time; return the trained params, the curve and the replica holdout gain over the start, marked replica_only, without freezing to Solidity or running the real engine.' FILES (check sha256s). START = https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475: `code_zb64` (T03's Solidity), `params`, `port_zb64` (layout in its notes). IB: the goal's IB file in its own port. 1. SETUP; fetch the files. 2. Gate A (T03 reverts only far outside market ranges): 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve, spot within 4x of start, < 0.01 bps; plus 10 uncapped sequences, reported as gates.A.stress, ungated. Gate B: START minus IB on replica seeds 8588000..8589023 within 0.15 of the real +0.819. S = replica markets/s on the warmed search pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES over 219 z, z = 0 at START: weight = start + 0.05 rms(its block) z; constant = start 2^(0.03 z), integers rounded. ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256) from seed {{train}} up, never reused. Every 5 minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends, 45 if S < 300. 4. Freeze the best point into START's Solidity, changing only its literals (weights 1e-6, constants WAD). Gate C as A, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41050000..41058191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300) in 64-seed commands; START too if time remains. RESULT, one JSON object under 60,000 bytes, START's keys: blocked; gates; speed; search{generations,minutes,M,curve}; params; code_zb64, code_sha256; port_zb64, port_sha256; holdout and real {frozen_vs_start, frozen_vs_IB, start_vs_IB: n, mean_diff, se; real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume}; gas{afterSwap_peak, oog}; valid (false on OOG, revert or peak over 245,000); notes. If nothing beat START, say so.

   what t4-e was asked

   One relay leg from T03; the next starts from your result. Follow the goal's objective and: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' 'If the Linux setup fails on this machine, take the replica-only branch: set R="$PWD/scratch" and quote every path; download https://github.com/astral-sh/uv/releases/latest/download/uv-aarch64-apple-darwin.tar.gz, extract it under "$R" and use that uv; run uv venv --python 3.12 "$R/venv" and uv pip install numpy numba cma; run the CMA search on the replica from the starting file's port and frozen params for the full time; return the trained params, the curve and the replica holdout gain over the start, marked replica_only, without freezing to Solidity or running the real engine.' FILES (check sha256s). START = https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475: `code_zb64` (T03's Solidity), `params`, `port_zb64` (layout in its notes). IB: the goal's IB file in its own port. 1. SETUP; fetch the files. 2. Gate A (T03 reverts only far outside market ranges): 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve, spot within 4x of start, < 0.01 bps; plus 10 uncapped sequences, reported as gates.A.stress, ungated. Gate B: START minus IB on replica seeds 8588000..8589023 within 0.15 of the real +0.819. S = replica markets/s on the warmed search pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES over 219 z, z = 0 at START: weight = start + 0.05 rms(its block) z; constant = start 2^(0.03 z), integers rounded. ES seed {{esseed}}, population {{pop}}, sigma0 {{sigma}} capped at sigma0 x 0.5^(minutes/{{half}}). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256) from seed {{train}} up, never reused. Every 5 minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends, 45 if S < 300. 4. Freeze the best point into START's Solidity, changing only its literals (weights 1e-6, constants WAD). Gate C as A, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41050000..41058191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300) in 64-seed commands; START too if time remains. RESULT, one JSON object under 60,000 bytes, START's keys: blocked; gates; speed; search{generations,minutes,M,curve}; params; code_zb64, code_sha256; port_zb64, port_sha256; holdout and real {frozen_vs_start, frozen_vs_IB, start_vs_IB: n, mean_diff, se; real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume}; gas{afterSwap_peak, oog}; valid (false on OOG, revert or peak over 245,000); notes. If nothing beat START, say so.

   what dz-t03 was asked

   Diagnose T03's division-by-zero revert; no search. Follow the goal's objective (SETUP, REAL ENGINE) and the requester's rule: 'This overrides the objective's 300 markets/s rule: search at any replica speed of at least 100 markets/s, with 256-market blocks below 300 markets/s, for the full time; only below 100 markets/s skip the search and do confirmations or kit work.' FILES (check sha256s). START = https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475: `code_zb64` (T03's Solidity, sha256 cb6d9455...), `params`, `port_zb64` (732c0fb6...: IA's port with the anchor literals and TH in W; layout in its notes). Replica: the IB file's `hashes.artifact_urls.rep`. FACT. Five relay legs ran the EVM-against-port callback harness (fresh deployment, reserves 100/10000, elapsed steps from [0,0,0,1,1,2,8,13], lognormal(-2,1.5) X amounts capped at 15% of reserve X). T03's afterSwap reverted with Panic(0x12) at a sell of amount_x 0.011758797438930166, amount_y 2256212.1895594997, reserves X 0.06663318548727094, Y 15007537.050604152, timestamp 3939, gas_used 62659, after 1,223 callbacks of one sequence; another seat saw it at reserves of the same order, and a 0.014 bps fee drift on a non-reverting stress sequence. On the real engine T03 ran 3,072 seeds (33 million afterSwap calls) with no revert and no OOG. 1. SETUP; fetch and check the files. 2. List every division and modulo in T03's afterSwap path with the condition that makes its divisor zero. Reproduce the panic in the EVM (pyrevm) at the state above, or the nearest state your harness reaches; name the culprit expression and the zero variable, and why such reserves produce it. 3. Margin on canonical paths: run the port on 512 replica markets, seeds {{rep}}..+511 (configs per MatchRunner._build_configs, 10,000 steps), recording each divisor's minimum absolute value and the ranges of reserve X, reserve Y and spot; report them next to the failing state. 4. Guard: T03G = T03's Solidity with the smallest change that avoids the revert (the previous fee, or the divisor clamped to 1, when it is zero), nothing else changed. Gate C: T03G against the port, 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve and spot within 4x of start, < 0.1 bps; then 10 uncapped sequences: T03G must not revert. REAL ENGINE: T03 and T03G each alone, seeds {{real}}..+255, in 64-seed commands; per-seed edges should be identical; gas_stats per arm. RESULT, one JSON object under 60,000 bytes: blocked; divisions [expression, location, zero_when]; culprit; reproduction{state, output}; margins{per divisor: min_abs; reserve and spot ranges}; guard{diff, gate_C, stress{sequences, reverts, max_bps}}; real{n, mean_diff, se, max_abs_per_seed_diff}; gas{afterSwap_peak per arm, oog}; code_zb64, code_sha256 (T03G); valid (false on any OOG, revert or peak over 245,000); notes. Report only what you measured.

   the whole memo

   EP7: woke on requester note 6 (T03 confirmed and the baton; note 6's macOS sentence word for word in every training brief; a Linux item freezes each replica_only result). With note 3's and note 6's sentences (830 characters) a leg brief has about 2,100 for the rest. Handed 30 results, 21 old (EP4's head-only IG/IB/FA legs: +0.01..0.06 over their start per leg, all 0.5 below T03; no line any more). New: 7 of 20 t3 legs, confirm-t03/t03-block-b, j5-a/j01. LEARNED. 1. T03 FAILS THE OLD GATE A. Five Linux t3 legs (k03, k09, k12, k17, k18) blocked there: T03's afterSwap reverts with Panic(0x12), division by zero, on a synthetic stress path of the EVM-against-port harness (reserves 100/10000, lognormal X amounts up to 15% of the reserve): at reserve X 0.0666, Y 15,007,537 after 1,223 callbacks (harness seeds 440103+, sequence 42; the state is in the dz brief and k09's result); seeds 310000+ hit it too, plus a 0.014 bps drift on a non-reverting sequence. Canonical-range sequences were < 0.0013 bps. T03's real engine is clean: confirm-t03/t03-block-b +0.7725 se 0.024 over IB on 8701024..8702047 (quartiles +0.76/+0.78/+0.77/+0.78; peak 237,689; 0 OOG, 0 reverts in 11 million calls); about +0.78 over IB on 2,048 with T03's own block: confirmed >= +0.3 (code sha256 cb6d9455...). The gate, not the file, blocks the relay; the 13 t3 legs still running will mostly block too. J5's Solidity passed the same gate (j01), so the division came with T03's constants. 2. k02 and k15 blocked on macOS arm64, as note 6 says. 3. j01 (from J5; 129 markets/s, 199 generations, M 256): +0.003 holdout over J5. Slow seats barely move a joint search; T03 (1,598 generations, sigma at its 0.27 cap, still rising) was limited by the cap, not converged. 4. k09's result (t3-b; id 3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475, fetched, hash equal) is a complete START: T03's code_zb64 (cb6d9455...), T03's params (constants as name: value, scaling) and port_zb64 732c0fb6... (IA's port with the anchor literals and TH in W; layout in its notes). Its gate B: T03 minus IB +0.769 se 0.027 on replica seeds 8588000..8589023: passes. DECIDED (27 items; 138 of 200 used at most). Every leg brief carries note 3's and note 6's sentences word for word. - t4-a..t4-e (5 each; keys mNN-sS-hHH-pPP: sigma0 0.S in z (s03 = 0.3), cap half-life HH minutes, population PP; NN 01..25): the TEMPLATE below, START = k09's URL (= T03), gate A MENDED: the harness's 50 x 2,000 callbacks with amounts capped at 2% of the reserve and the spot within 4x of its start (< 0.01 bps), plus 10 uncapped stress sequences reported as gates.A.stress, ungated; gate C the same way. Parameterization as J5 (note 4: 0.05 rms, 2^(0.03 z)); sigma0 0.2..0.7, half-lives 45..90 (T03 wanted a slower cap); holdout 41050000..41058191, fresh and shared by the round. A macOS seat returns replica_only params in START's layout. - dz-t03 (2: dz-a, dz-b; slow seats fine): find T03's dividing expression and zero state, reproduce the panic, measure each divisor's margin on 512 canonical replica markets, build T03G = T03 with the smallest guard, proven equal to T03 per seed on 256 real seeds and non-reverting on uncapped stress paths; returns T03G code_zb64 and sha256. - Left t3-a..d (13 running) and j11-a (3 running from J11) alone: cancel frees nothing once items run. READ: the 27 new items plus j5-c/j15-s04-h40-p16, j5-b/j07-s07-h45-p16, j5-d/j18-s03-h60-p16 (note 6's second line; never had their ids). Wake: the six batches or 150 minutes. LEDGER, never reuse. Real engine, 1,024-seed blocks: below 8120832 taken; mNN 8120832+1024(NN-1), NN 01..25; dz-a 8146432..+255, dz-b 8147456..+255; confirm-t03 8700000..8702047; next free 8148480. Replica train, 2,000,000-seed blocks: mNN 1308000000+2000000(NN-1); dz margins 1358000000, 1359000000 (512 each); next free 1360000000 (stay below the sister goal's 1400000000). Holdout: round 3 41050000..41058191; round 4 41070000..+8191; then +20000 a round. ES seeds used: up to 20261425. Monitor 30000000..30002047 reused on purpose. NEXT EPISODE (8 of 10; about 62 items left). 1. Per leg: blocked, replica_only, speed, cpus, M, generations, minutes, gates.A.stress. If legs still block at the mended gate A, read dz: the mend was wrong or T03 needs T03G; then relay from T03G. 2. Rank legs by holdout frozen_vs_IB (se about 0.011; same seeds); check real frozen_vs_IB (se about 0.04) agrees, valid true, peak <= 245,000. A replica_only leg ranks by holdout frozen_vs_start only: spawn Linux freeze items (CAND = the leg's URL: freeze its params into T03's Solidity, gates A (capped) and C, holdout, IB and frozen on 512 fresh seeds; the result is a START). 3. Round 4 (about 20 legs in batches of 5): TEMPLATE with START = the best leg's URL (it has code_zb64, params, port_zb64); gate B 'START minus IB on replica seeds <its real seeds> within 0.15 of the real <its frozen_vs_IB>'; holdout 41070000..+8191; sigma0 near the leg's final sigma, half 60..90; 3..5 legs from the second best, 3 from the best j5 continuation if handed. Same episode: confirm the best leg vs IB on two fresh 1,024-seed blocks (the confirm-t03 brief with CAND = the leg's URL and code sha256; promote at > 2 se; >= +0.3 over IB on 2,048 seeds goes to the requester with complete code and sha256). 4. EP9: the final 2,048-seed confirmation of the best file (4 items of 512) plus any last legs; EP10 finish. When nothing new has landed, keep the running batches and set the wake; never spawn a round twice. Filled leg briefs are 2,945 characters: a longer var breaks the limit. 5. Write-up: the final file's URL, code and sha256, paired real gain over IB {n, mean_diff, se, worst5, best5}, quartiles, volume deltas, gas, the curve by round (IB 0, J5 +0.55, J11 +0.60, T03 +0.78, round 3 best), the gate A finding, what was not checked. TEMPLATE (t4 leg; vars esseed, pop, sigma, half, train, real; N3, N6 = the requester's sentences): One relay leg from T03; the next starts from your result. Follow the goal's objective and: 'N3' 'N6' FILES (check sha256s). START = <k09 URL>: `code_zb64` (T03's Solidity), `params`, `port_zb64` (layout in its notes). IB: the goal's IB file in its own port. 1. SETUP; fetch the files. 2. Gate A (T03 reverts only far outside market ranges): 50 x 2,000 callbacks in 10-sequence commands, amounts capped at 2% of the reserve, spot within 4x of start, < 0.01 bps; plus 10 uncapped sequences, reported as gates.A.stress, ungated. Gate B: START minus IB on replica seeds 8588000..8589023 within 0.15 of the real +0.819. S = replica markets/s on the warmed search pool. A failed gate: no search, blocked={step,error}. S < 100: only step 6, IB and START, {{real}}..+1023. 3. CMA-ES over 219 z, z = 0 at START: weight = start + 0.05 rms(its block) z; constant = start 2^(0.03 z), integers rounded. ES seed, population, sigma0 capped at sigma0 x 0.5^(minutes/half). Each generation: all proposals on the same M fresh markets (512 if S >= 300, else 256) from seed {{train}} up, never reused. Every 5 minutes score the ES mean on monitor seeds 30000000..30002047; keep the best. Stop 30 minutes before your time ends, 45 if S < 300. 4. Freeze the best point into START's Solidity, changing only its literals (weights 1e-6, constants WAD). Gate C as A, < 0.1 bps. 5. Holdout, once: frozen, START, IB on seeds 41050000..41058191, paired. 6. REAL ENGINE, once: IB and frozen, each alone, seeds {{real}}..+511 (+255 if S < 300) in 64-seed commands; START too if time remains. RESULT, one JSON object under 60,000 bytes, START's keys: blocked; gates; speed; search{generations,minutes,M,curve}; params; code_zb64, code_sha256; port_zb64, port_sha256; holdout and real {frozen_vs_start, frozen_vs_IB, start_vs_IB: n, mean_diff, se; real also sum, sumsq, worst5, retail/arb volume deltas, by_quartile of IB's retail volume}; gas{afterSwap_peak, oog}; valid (false on OOG, revert or peak over 245,000); notes. If nothing beat START, say so.

   1 step

   t4-a, item by itemt4-b, item by itemt4-c, item by itemt4-d, item by itemt4-e, item by itemdz-t03, item by item

8. Working39 agents, 7 silent for over 10 min
   1. 20261425Agent #1629Eighteen generations are saved. START remains the best recorded point; the next monitor check is due shortly.·Calibrating…

      1. CMA-ES is now advancing through fresh 256-market blocks and saving its state after each generation. I’ve also prepared the holdout and real-engine commands, including paired statistics, volume deltas, IB retail-volume quartiles, and gas-counter aggregation. 8m ago
      2. The zero-displacement check passed: z = 0 reproduces START’s parameter vector exactly. Seven generations are saved; the first five-minute monitor evaluation is still pending, so there’s no measured training gain yet. 6m ago
      3. Nine generations are saved. I also checked the real-engine decomposition against both contracts’ initialization code: IB writes its base fee as 4 * BPS, while START uses a numeric WAD literal. The measurement script will read each form correctly. 5m ago
      4. The first monitor check scored the generation-11 mean at −0.1174 versus START. START remains the retained best point. Training has resumed from the saved optimizer and RNG state. 3m ago
      5. Thirteen generations are saved, and START is still the retained best point. I’ve also written an explicitly incomplete recovery result; it will be replaced with the frozen candidate and final measurements after validation. 2m ago
      6. Eighteen generations are saved. START remains the best recorded point; the next monitor check is due shortly. just now
   2. 20261415Agent #931Generation 17 is complete. No monitored mean has beaten START yet; training continues within the reserved search window.·Sketching…

      1. Generation 11 is complete, with optimizer checkpoints saved after every generation. The search is continuing on new market seeds. 5m ago
      2. Thirteen generations are complete. The next monitor evaluation is approaching; it will decide whether the search has found a point worth freezing. 4m ago
      3. Fifteen generations are complete. The ten-minute monitor check is next; START remains the retained point until a monitored mean beats it. 3m ago
      4. The current segment is evaluating the next generation and monitor point. Its latest saved checkpoint is generation 15; confirmation seeds are still untouched. 2m ago
      5. The second monitor scored 0.00710 below START, so START is still retained. Generation 16 is saved, and the third search segment is running. 1m ago
      6. Generation 17 is complete. No monitored mean has beaten START yet; training continues within the reserved search window. just now
   3. cd8559ed66c20cec062b6edf56ccd990c7c8638a70c457a8315bda6b61fdebceAgent #1280The search is at generation 435. The next segment will resume the optimizer and seed sequence from the checkpoint.·Tracing sources…

      1. Generation 400 is complete. The +0.0331 monitor checkpoint remains selected, with roughly twenty-two minutes of search left before confirmation work. 5m ago
      2. The search has reached generation 410. The sixty-minute monitor is next. 4m ago
      3. Generation 415 is complete. Sigma is near 0.150, with the same 24-proposal population and 512-market blocks. 3m ago
      4. The sixty-minute monitor measured +0.0235 ± 0.0075 over START. The earlier +0.0331 checkpoint remains the best. 2m ago
      5. Generation 430 is complete. The search is continuing to the cutoff with the best monitored point preserved. 1m ago
      6. The search is at generation 435. The next segment will resume the optimizer and seed sequence from the checkpoint. just now
   4. 20261405Agent #1135The second bounded segment is running from the saved covariance and random state, with no train-seed reuse.·Considering…

      1. The environment and supplied artifacts are available. The prior relay’s failed callback case used a much wider amount cap; I’m re-running the task’s tighter Gate A before starting any optimization. 17m ago
      2. Both required pre-search gates now pass: Gate A’s maximum fee discrepancy is below 0.01 bps across 100,000 capped callbacks, and the replica reproduces the supplied START–IB gain. Replica throughput is 135.4 markets/s, so I’m using the required 256-market search blocks. 10m ago
      3. The first search segment is checkpointing correctly; each generation is taking roughly half a minute at the measured throughput. I’m continuing in bounded segments and will reserve time for freeze, holdout, and real-engine confirmation. 7m ago
      4. The optimizer remains within the scheduled 256-market blocks and is writing a resumable checkpoint after every generation. 5m ago
      5. At the first five-minute monitor, the optimizer’s mean was below START, so the retained checkpoint remains the unmodified START point. Training continues from the same CMA state rather than promoting a weaker candidate. 2m ago
      6. The second bounded segment is running from the saved covariance and random state, with no train-seed reuse. just now
   5. 20261423Agent #1926At 128 paired real markets, START is ahead of IB by +0.86175, SE 0.06721, with no real-engine failures. Uncapped stress reproduced a division-by-zero revert at a spot roughly 616,449 times the start. I’ve recorded it separately and conservatively set valid=false; bounded Gate A still passed.·Composing…

      1. Both arms completed the first 64 seeds without failed calls. START’s afterSwap peak was 237,461 gas, below 245,000. The next IB block is running. 7m ago
      2. Forty corrected Gate A sequences have finished without a revert or tolerance failure. The final ten bounded sequences and the separate uncapped stress check remain. 6m ago
      3. The next real-engine block is still running. Each arm continues to run alone against VanillaStrategy on the same seeds, with completed block results saved locally. 5m ago
      4. All 50 bounded Gate A sequences have finished running; I’ll check their saved errors and failure records before recording the gate verdict. IB has completed 128 real markets, and START is catching up on the matching seeds. 4m ago
      5. Gate A passed all 100,000 bounded callbacks: maximum error was 0.000147 bps, with no reverts. The first 64 paired real markets show START ahead of IB by +0.80759, SE 0.09939. The larger confirmation is still running. 2m ago
      6. At 128 paired real markets, START is ahead of IB by +0.86175, SE 0.06721, with no real-engine failures. Uncapped stress reproduced a division-by-zero revert at a spot roughly 616,449 times the start. I’ve recorded it separately and conservatively set valid=false; bounded Gate A still passed. just now
   6. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1513The latest monitor measured +0.0077 ± 0.0063 over START, below the retained +0.0106 point. Forty-eight generations are saved; training continues.·Composing…

      1. Generation 41 is saved. The selected candidate remains the earlier mean with the +0.0106 monitor estimate. 5m ago
      2. Forty-three generations are complete. Training continues with fresh 256-market blocks. 4m ago
      3. Generation 44 is saved. The next monitor check is due after roughly two more generations. 3m ago
      4. Forty-six generations are complete. No new monitor score yet, and the retained candidate is unchanged. 2m ago
      5. Generation 47 is saved. The thirty-minute monitor check is next. 1m ago
      6. The latest monitor measured +0.0077 ± 0.0063 over START, below the retained +0.0106 point. Forty-eight generations are saved; training continues. just now
   7. 20261408Agent #1663The resumed search is running with 16 workers, and generation 23 is complete. I’m preserving the final 30 minutes for freezing, callback validation, holdout evaluation, and real-engine confirmation.·Hatching a plan…

      1. A replay check confirmed that all bounded Gate A paths stayed within the requested spot range: 28.33–391.72 from a start of 100. X-denominated trade amounts stayed at or below 2% of X reserves. Search has reached 16 generations. 5m ago
      2. Seventeen generations are complete. The holdout and real-engine confirmation seeds remain unused; those checks will follow selection of the best monitor point. 5m ago
      3. The ten-minute monitor scored −0.0137 versus START, an improvement over the first check but still below the starting point. START remains the retained best. 4m ago
      4. Twenty-one generations are complete, and checkpoint resumes are working. I’ll briefly compare worker counts between segments to see whether the same replica can evaluate more generations in the remaining time. 3m ago
      5. The worker benchmark peaked at about 403 markets/s with 16 workers; 24 was slower. I’ll use 16 for the remaining search segments. The model, objective, and seed schedule stay the same. 2m ago
      6. The resumed search is running with 16 workers, and generation 23 is complete. I’m preserving the final 30 minutes for freezing, callback validation, holdout evaluation, and real-engine confirmation. just now
   8. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1168The 60 minute monitor improved to +0.0428 (SE 0.0086), and the search has reached 403 generations. I’m continuing the final training segments before freezing the best point.·Drafting…

      1. The 50 minute monitor improved to +0.0366 over START (SE 0.0083), a new saved best. IB and START’s Solidity bytecode are cached locally for the final real engine chunks. 12m ago
      2. The best monitored gain is now +0.0366. The search has passed 340 generations and continues under the same 16 candidate, 512 market schedule. 9m ago
      3. The 55 minute monitor was +0.0362 (SE 0.0088), close to the saved +0.0366. Training has reached 361 generations and is on schedule to stop at 21:37 UTC, leaving the requested validation window. 7m ago
      4. The search is still running from the last checkpoint. No new monitor result has displaced the +0.0366 policy yet; the next check occurs at 60 minutes. 5m ago
      5. Training has passed 380 generations. Sigma is 0.153, and the scheduled 60 minute monitor will determine whether the saved vector changes. 3m ago
      6. The 60 minute monitor improved to +0.0428 (SE 0.0086), and the search has reached 403 generations. I’m continuing the final training segments before freezing the best point. just now
   9. 20261412Agent #1175rate limit cleared·Tinkering…

      1. claude reports claude-opus-5-5 18m ago
      2. rate limit cleared 18m ago
      3. Linux setup failed (x86_64 uv binary: "cannot execute binary file", exit 126). Taking the replica-only branch. 17m ago
      4. Building the replica harness now: one replica module each for the START and IB ports, plus the START parameter-vector builder. 16m ago
      5. Gate B passed (+0.769 vs real +0.819; error 0.050). Replica speed is ~1266 markets/s, so M=512. The search is running in 7-minute segments. 8m ago
      6. rate limit cleared just now
   10. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #599Generation 369 is saved at 62.25 search minutes. Sigma is about 0.195, and the best monitor gain remains +0.0482 over START.·Shaping…

       1. Generation 343 is saved at 57.60 search minutes. Sigma is about 0.206, and the retained monitor gain remains +0.0482. 5m ago
       2. Generation 350 is saved at 58.87 search minutes. The sixty-minute monitor check is next. 4m ago
       3. Generation 355 is saved at 59.77 search minutes. The best monitor gain remains +0.0482 over START, with roughly twenty minutes left in the search window. 3m ago
       4. The sixty-minute monitor measured +0.0415 over START, below the retained +0.0482. The best point stays unchanged. Search has reached 362 generations. 2m ago
       5. The ninth segment finished at 364 generations and 61.40 search minutes. The tenth has resumed from the checkpoint, including the retained best point. 2m ago
       6. Generation 369 is saved at 62.25 search minutes. Sigma is about 0.195, and the best monitor gain remains +0.0482 over START. just now
   11. 20261417Agent #457Twenty-five generations have completed on fresh market blocks. No monitored mean has beaten START yet. I’ll continue until the scheduled cutoff.·Simmering…

       1. The resumed run reached generation 14, continuing from the saved state and next unused seed block. START still leads the monitor. The second monitor check is due around ten minutes of training. 6m ago
       2. Generation 17 is saved. The run has used fresh markets through seed 1340004351, with no generation blocks reused. Final-file checks are ready for the required fields, payload hashes, comparison counts, and gas limits. 4m ago
       3. Twenty generations are complete. The second monitor evaluation is next; START remains the retained point until a monitor result beats it. 3m ago
       4. At generation 21, the ES mean scored −0.0693 versus START on the monitor. It didn’t replace START. Training continues with the specified population, seed, and parameter scaling. 3m ago
       5. Generation 23 is saved, including the optimizer’s covariance and random-number state. START still leads, and I’m continuing the next segment from that checkpoint. 2m ago
       6. Twenty-five generations have completed on fresh market blocks. No monitored mean has beaten START yet. I’ll continue until the scheduled cutoff. just now
   12. 20261404Agent #905The search has reached 52 generations. Checkpoints are saving correctly, and training continues without using holdout or real-engine seeds.·Contemplating…

       1. The tightened Gate A passed all 100,000 callbacks: maximum fee error was 0.00103 bps, observed spots stayed between 30.55 and 393.34 from a start of 100, and both amount ratios stayed at 2% within floating-point precision. The first five-minute monitor scored the ES mean at −0.0190 versus START, so START remains the saved best. 8m ago
       2. CMA-ES has completed 25 generations and saved its checkpoint. START is still the best monitored point. I’m continuing in command segments under eight minutes, with fresh market seeds in each generation. 7m ago
       3. Training has reached 34 generations. Selection still uses the fixed monitor set; changing generation scores are only search feedback. I found a checkpointing gap in NumPy’s random-state handling and have fixed it for subsequent resumes. The result will disclose that the first resume did not preserve it. 5m ago
       4. CMA-ES has reached 39 generations and is approaching the next monitor check. The checkpoint, seed progression and source references are saved. Training remains within the allotted search window. 4m ago
       5. At 48 generations, START remains best. The ten-minute monitor scored the ES mean at −0.0842 versus START, so no trained point has been selected yet. 2m ago
       6. The search has reached 52 generations. Checkpoints are saving correctly, and training continues without using holdout or real-engine seeds. just now
   13. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #722The search has reached **190 generations and just over one hour**. The selected candidate is unchanged; the final segment has less than two minutes remaining.·Scouting…

       1. Segment eight saved at **174 generations and 55.3 minutes**. The final search segment is running and will end near 21:21 UTC. After that, I’ll freeze the best monitored point and begin Gate C. 6m ago
       2. Generation 177 is checkpointed. The retained monitor gain is +0.0239; the final segment still has time for one more scheduled monitor check. 5m ago
       3. Generation 181 is saved. Search time is 57.5 minutes, with the next monitor check due around 58.5 minutes. 4m ago
       4. Generation 184 is checkpointed. The final scheduled monitor check is next; the remaining search time will then finish before freezing. 3m ago
       5. The last scheduled monitor scored **+0.0189 ± 0.0076 SE**, so the +0.0239 candidate from 53.5 minutes remains selected. I’m finishing the remaining search window before freezing that point. 2m ago
       6. The search has reached **190 generations and just over one hour**. The selected candidate is unchanged; the final segment has less than two minutes remaining. just now
   14. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #804Training has reached 194 generations. The remaining work is about eighteen minutes of search, then freezing and the required evaluations.·Following leads…

       1. One hundred seventy-eight generations are complete. The search settings and saved candidate are unchanged. 6m ago
       2. Training has reached 184 generations and nearly an hour of search. The best monitor gain remains +0.0240. 5m ago
       3. One hundred eighty-seven generations are complete. The current segment is close to its checkpoint, with about twenty minutes of search left. 4m ago
       4. The tenth segment saved at 189 generations. The eleventh has resumed for the remaining search window. 3m ago
       5. The hour-mark monitor measured +0.0175 (SE 0.0076). The +0.0240 candidate remains selected. 2m ago
       6. Training has reached 194 generations. The remaining work is about eighteen minutes of search, then freezing and the required evaluations. just now
   15. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #511The ninth segment has resumed at generation 252 and 52.91 search minutes. I’m adding exact source passages from the pinned simulator configuration to the provenance file.·Brewing…

       1. Generation 230 is complete. The best monitored gain remains +0.0266 over START. 6m ago
       2. Generation 235 is complete. The next monitor comparison is due shortly after 50 search minutes. 5m ago
       3. Generation 240 is complete. The saved best is unchanged; the next monitor evaluation is imminent. 4m ago
       4. The 50-minute monitor check was +0.0171 ± 0.0078 over START. The earlier +0.0266 point remains selected. 3m ago
       5. Generation 250 is complete. The eighth segment is nearing its checkpoint boundary. 2m ago
       6. The ninth segment has resumed at generation 252 and 52.91 search minutes. I’m adding exact source passages from the pinned simulator configuration to the provenance file. just now
   16. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #711CMA has completed 194 generations and 59.4 minutes. The 60-minute monitor will score the current mean shortly.·Ruminating…

       1. CMA has reached 177 generations and 54.3 minutes. The retained point is unchanged, and training is proceeding without errors. 6m ago
       2. The 55-minute mean scored +0.0192 ± 0.0079 over START, very close to the retained +0.0198 point. The earlier point remains best; training continues from generation 181. 5m ago
       3. Training is at 184 generations and 56.4 minutes. The best monitored gain remains +0.0198 over START, and the final confirmations remain reserved. 4m ago
       4. CMA has reached 188 generations and 57.6 minutes. The next selection check is the 60-minute monitor. 3m ago
       5. Training is at 191 generations and 58.5 minutes. The retained point is unchanged, and the next checkpoint is approaching. 2m ago
       6. CMA has completed 194 generations and 59.4 minutes. The 60-minute monitor will score the current mean shortly. just now
   17. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1576The search cutoff is approaching. The current best point has already passed the freeze script’s literal-only check; the frozen fee comparison is next.·Assembling…

       1. The tenth segment is running from 115 generations and 55.1 training minutes. I’m also checking the freeze script on the current best point so any formatting issue is caught before final validation. 6m ago
       2. The freeze script passed its literal-only check on the current best point. Training is still running; I’ll freeze again at the cutoff so the final artifact uses the best point from the full search. 5m ago
       3. The search is in its last few minutes. The next scheduled monitor check will test whether the current mean improves on the saved +0.0242 result. 4m ago
       4. At generation 120, the 57.4-minute monitor check is +0.0136 ± 0.0078 over START. The 42-minute point remains the best. 3m ago
       5. The final long segment is still running. I’ll use the brief time remaining after it finishes, then freeze the best point and begin Gate C. 2m ago
       6. The search cutoff is approaching. The current best point has already passed the freeze script’s literal-only check; the frozen fee comparison is next. just now
   18. 20261418Agent #1542The exact warmed search evaluator measured 82.18 markets/s, below the 100 threshold. I’ve stopped training and will follow the specified low-speed branch: return START unchanged and run IB and START confirmations on all 1,024 seeds from 8138240 through 8139263.·Brewing…

       1. The first segment finished at four generations. The next segment has resumed from its checkpoint, preserving the optimizer and RNG state; the first monitor evaluation is due shortly. 7m ago
       2. The downloaded START, IB, and KIT-B JSON files also match their artifact URL hashes. The resumed segment is still evaluating; all temporary code and checkpoints remain under test/scratch/. 6m ago
       3. The first monitor check scored the ES mean at −0.01720 versus START, so START remains best. Candidate evaluations are running slower than the preflight speed measurement. After this bounded segment, I’ll remeasure START through the exact search evaluator to check the 100 markets/s gate. 4m ago
       4. Seven generations are complete, with START still best on the monitor. The last three generations evaluated at about 83 markets/s. I’ll use the exact-pool START recheck to decide whether training can continue or must switch to the low-speed confirmation branch. 2m ago
       5. The segment ended at eight generations, with no monitored point beating START. The Solidity emitter also reproduces START byte-for-byte from its saved parameters. The exact-pool speed recheck is now running alone. 1m ago
       6. The exact warmed search evaluator measured 82.18 markets/s, below the 100 threshold. I’ve stopped training and will follow the specified low-speed branch: return START unchanged and run IB and START confirmations on all 1,024 seeds from 8138240 through 8139263. 1m ago
   19. 20261416Agent #1705The third search segment is running from the saved covariance and random state. The statistics utility is ready to report paired gains, worst five seed outcomes, volume deltas, and quartiles based on IB retail volume.·Percolating…

       1. Twelve generations are complete. Search speed remains close to the initial measurement, and START is still the saved best pending the next monitor score. 6m ago
       2. Fourteen generations are complete. Their raw scores use different market blocks, so they are not directly comparable. The paired monitor scores will determine the saved best. 5m ago
       3. Seventeen generations are complete, and checkpoints are saving normally. The second monitor evaluation is due around generation 20. 4m ago
       4. Nineteen generations are complete. The seed ledger has advanced through 1338004863 without reusing a search block. I’ll continue with 256-market blocks. 3m ago
       5. The second monitor score is −0.01363 versus START (SE 0.00684), so START remains best. The saved curve now contains both monitor evaluations. 2m ago
       6. The third search segment is running from the saved covariance and random state. The statistics utility is ready to report paired gains, worst five seed outcomes, volume deltas, and quartiles based on IB retail volume. 1m ago
   20. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1540The checkpoint saved at generation 163, and segment eleven has started. Training has passed sixty search minutes.·Charting…

       1. Generation 149 is complete. The next monitor check is near fifty-seven search minutes. 6m ago
       2. One hundred fifty-two generations are complete. The +0.0048 point remains saved for freezing unless a later monitor check improves on it. 5m ago
       3. A new best was saved at +0.0063 over START (SE 0.0085). The gain is still within sampling uncertainty. Training is now at generation 155. 4m ago
       4. Generation 158 is complete. The best monitored gain remains +0.0063 over START. 3m ago
       5. One hundred sixty-one generations are complete. The search radius is now about 0.3010, and the current best remains saved. 2m ago
       6. The checkpoint saved at generation 163, and segment eleven has started. Training has passed sixty search minutes. 1m ago
   21. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1518The 40-minute monitor check scored +0.0031 ± 0.0083 over START. The +0.0174 mean remains selected. The corrected search has reached 169 generations.·Composing…

       1. The next segment has started from 139 saved generations. I’m preserving the 31-minute confirmation reserve; only newly monitored means can replace the current best. 8m ago
       2. The warmed pool measured 550 markets/s, and training remains on 512-market blocks. One hundred forty-five corrected generations are saved; the next monitor check is due shortly. 7m ago
       3. The 35-minute monitor check scored +0.0069 ± 0.0080 over START. The +0.0174 mean remains the saved best. The corrected search has reached 150 generations. 6m ago
       4. One hundred fifty-eight corrected generations are saved. The best monitored mean remains +0.0174 over START. 4m ago
       5. The segment finished with 163 corrected generations saved. The next has started, with about 19 minutes left before the training cutoff. 3m ago
       6. The 40-minute monitor check scored +0.0031 ± 0.0083 over START. The +0.0174 mean remains selected. The corrected search has reached 169 generations. 1m ago
   22. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1129The search is approaching 60 minutes. The next monitor will be comparable to the earlier ones because it uses the same fixed seeds and START baseline.·Weighing it up…

       1. Generation 451 is complete, with about 53 minutes of accumulated search time. I’ll resume from the saved state for the remaining window, then freeze exactly the best monitored point. 8m ago
       2. The search is at 55 minutes and 470 generations. The next fixed-block monitor should show whether the mean has finally moved above START. 6m ago
       3. The 55 minute monitor is the first to beat START: +0.0164 edge, standard error 0.0091. I’ve saved that ES mean as the current best and will keep training through the remaining window. 5m ago
       4. The saved winner remains the 55 minute mean at +0.0164. Training has passed 490 generations; each new generation still uses its own 512-seed block. 4m ago
       5. Generation 501 is complete. I’ll retain the best monitored mean rather than the latest one, so later noisy generations cannot erase the current gain. 3m ago
       6. The search is approaching 60 minutes. The next monitor will be comparable to the earlier ones because it uses the same fixed seeds and START baseline. 2m ago
   23. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #1275At 57.7 search minutes, the monitor is +0.0425, below the saved best of +0.04655. I’m retaining the earlier mean.·Hatching a plan…

       1. At 44.4 search minutes, the fixed monitor rose to +0.0466 over START. That mean is now the saved best. 15m ago
       2. The interim frozen parameters compile and match the port on the smoke gate. The constants have moved by modest amounts from START, and the search is continuing through generation 287. 14m ago
       3. The next monitor has not finished yet. I’m keeping the same candidate selection rule and reserving the holdout and Rust seed ranges for the final point. 12m ago
       4. The checkpoint is at generation 340. The latest fixed monitor is +0.04655 over START with a 0.00895 standard error, essentially tied with the prior best. Training continues to the cutoff. 5m ago
       5. The search is still evaluating new markets. The saved point remains the one at +0.04655; later means need a higher fixed-monitor gain to replace it. 3m ago
       6. At 57.7 search minutes, the monitor is +0.0425, below the saved best of +0.04655. I’m retaining the earlier mean. 2m ago
   24. 20261410Agent #1770At generation 32, the monitored mean is still below START. I’ll continue through the allotted search window and keep START as the fallback.·Orchestrating…

       1. CMA-ES has completed its first generations. The first monitored mean was below START, so START remains the best checkpoint. The ungated stress run reproduced a revert in one sequence; I’ll report it separately from the bounded gate, which passed. 13m ago
       2. I corrected the callback harness’s reserve updates to match the simulator’s net-of-fee model and reran all 50 sequences. They still pass, with a maximum difference of 0.000729 bps. A real-engine diagnostic hit an assertion in the retail/arb breakdown code; I’m preserving subsequent raw traces so I can check that calculation. 12m ago
       3. The corrected stress harness completed all 10 uncapped sequences without a revert. The earlier stress revert came from the reserve-update error and is excluded. Training has reached generation 10; START still leads on the monitor check. 10m ago
       4. The retail/arb breakdown issue was in my parser: IB writes its initial fee as 4 * BPS, which I had read as a literal. Using 4 bps makes the saved traces reproduce the engine’s arb volume within floating-point precision. The completed real-engine block has no OOG or revert, with afterSwap peaks below 245,000 gas. 8m ago
       5. The search is continuing with START retained as the fallback. Each generation uses a fresh seed block, and monitor checks score only the ES mean. CMA state and the next unused seed are saved so the short commands can continue the same run. 6m ago
       6. At generation 32, the monitored mean is still below START. I’ll continue through the allotted search window and keep START as the fallback. 3m ago
   25. cd8559ed66c20cec062b6edf56ccd990c7c8638a70c457a8315bda6b61fdebceAgent #1443Real-engine chunks are still running (3 paired chunks done, 192 seeds). I'm continuing while I write the sources file in parallel.·Piecing together…

       1. Running both at once was worse: load rose to 70 and neither chunk finished in 8 minutes. I'll go back to one chunk per command. 30m ago
       2. Real-engine chunks are still running (3 paired chunks done, 192 seeds). I'm continuing while I write the sources file in parallel. 3m ago
   26. 20261403Agent #380Wiring the real-engine runner (adapted from the kit) while the search continues.·Investigating…

       1. rate limit cleared 18m ago
       2. Setup succeeded. START is T03's result (it failed its own Gate A on an extreme-reserve revert, which is why this item's Gate A uses capped amounts). Now decoding the code/port/kit files. 17m ago
       3. Next: building the replica module for START/IB ports and inspecting how weights appear in the Solidity. 17m ago
       4. Replica modules built. Running Gate B (START−IB on replica) and speed measurement. 15m ago
       5. rate limit cleared 14m ago
       6. Wiring the real-engine runner (adapted from the kit) while the search continues. 4m ago
   27. 20261413Agent #236rate limit cleared·Shaping…

       1. Gate B passes (+0.769 vs real +0.819). Measuring warmed speed now. 16m ago
       2. rate limit cleared 16m ago
       3. Machine is effectively single-core: warmed replica S ≈ 105 markets/s (≥100, <300 → 256-market blocks, stop 45 min before end). Writing Gate A now. 15m ago
       4. rate limit cleared 15m ago
       5. Gate A passes (50×2000, max 5.4e-5 bps, no reverts). Starting the CMA search (~35 min, in 7-minute segments). 12m ago
       6. rate limit cleared 5m ago
   28. 20261401Agent #853rate limit cleared·Charting…

       1. cloning the base repository 6m ago
       2. running claude on claude-opus-5-5 6m ago
       3. claude reports claude-opus-5-5 5m ago
       4. rate limit cleared 5m ago
       5. Setup ok. Fetch files. 5m ago
       6. rate limit cleared 5m ago
   29. 20261402Agent #879Real engine slowed under contention (70 s per 64 seeds); the START chunk at 192 was cut off before writing results, so it reruns. Continuing segments, keeping each command under 8 minutes.·Scouting…

       1. Now building the replica module with START's port plugged in, and the weight vectors from params. 17m ago
       2. Gate A harness works (5 s per 2,000-callback sequence, 5e-5 bps). Running full Gate A + stress and Gate B/speed together now. 16m ago
       3. Gate B reproduces T03 exactly (+0.7692 vs real +0.819, within 0.15); speed 474 markets/s with Gate A running alongside, so M=512. Now checking the real-engine API so it can run alongside the search. 15m ago
       4. Real engine works (~3 markets/s/batch, IB edge ~504 on probe). Writing the CMA-ES search now (segmented, checkpointed). 14m ago
       5. Search runs in ~7-minute checkpointed segments until ~21:50 UTC. The first segment runs the IB and START real-engine blocks alongside it. 14m ago
       6. Real engine slowed under contention (70 s per 64 seeds); the START chunk at 192 was cut off before writing results, so it reruns. Continuing segments, keeping each command under 8 minutes. 6m ago
   30. cd8559ed66c20cec062b6edf56ccd990c7c8638a70c457a8315bda6b61fdebceAgent #959rate limit cleared·Following leads…

       1. rate limit cleared 32m ago
       2. IB's real-engine arm is done (8 chunks). The search monitor shows a small gain, +0.016 ± 0.006. Next: run START's real arm alongside the search, and write the freeze, Gate C and holdout script. 7m ago
       3. rate limit cleared 6m ago
   31. 2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336Agent #626The search is at generation 32 and 25.7 minutes, with no ES mean beating START yet. I'm adding a final monitor and running the last short segment.·Sketching…

       1. The search is at generation 32 and 25.7 minutes, with no ES mean beating START yet. I'm adding a final monitor and running the last short segment. 8m ago
   32. 20261409Agent #1948rate limit cleared·Conjuring…

       1. Setup passed. Now the port's structure. 18m ago
       2. rate limit cleared 18m ago
       3. Now the real-engine runner; time it with a small chunk first. 15m ago
       4. rate limit cleared 15m ago
       5. Real engine works (~2 s/market; this sandbox gives effectively one CPU, so replica S≈85 markets/s < 100 → no search, step 6 only). Continuing chunks. 9m ago
       6. rate limit cleared 9m ago
   33. 20261411Agent #724rate limit cleared10m ago

       1. rate limit cleared 18m ago
       2. Now writing the weight-vector builder and the Gate B / speed script. 14m ago
       3. rate limit cleared 14m ago
       4. The EVM harness is fast. Running Gate A now: five 10-sequence capped shards plus the 10-sequence uncapped stress run, in parallel. 12m ago
       5. Gate A passed on all 50 capped sequences and the 10 uncapped stress sequences also completed without reverts. Now writing the segmented CMA-ES search and launching its first segment. 11m ago
       6. rate limit cleared 10m ago
   34. 1358000000Agent #897The supplied stress trajectory reproduces in the local EVM at callback 1,223 with the same Panic(0x12) and 62,659 gas. I’m now isolating which denominator reaches zero, then I’ll run the requested guard and engine confirmations.14m ago

       1. cloning the base repository 18m ago
       2. running codex 18m ago
       3. I’ll fetch and validate the pinned artifacts, then reproduce and isolate the arithmetic failure before writing the two requested JSON deliverables. 18m ago
       4. The supplied stress trajectory reproduces in the local EVM at callback 1,223 with the same Panic(0x12) and 62,659 gas. I’m now isolating which denominator reaches zero, then I’ll run the requested guard and engine confirmations. 14m ago
   35. 20261407Agent #1067rate limit cleared14m ago

       1. I'll set up the simulator under test/scratch/, fetch the START and IB files, and run the gates. If they pass, I'll run the CMA search, freeze the best point, and run the holdout and real-engine checks. 18m ago
       2. rate limit cleared 18m ago
       3. The checkout ended up as the shell's working directory, so the files are nested under it, which is harmless. Next I'll run the setup and decode START, IB and the kit. 18m ago
       4. rate limit cleared 18m ago
       5. Gate B passes: START beats IB by 0.769 on the replica against the real +0.819, a difference of 0.05. Replica speed is 604 markets/s. Next is Gate A, in 10-sequence commands. 14m ago
       6. rate limit cleared 14m ago
   36. 20261422Agent #1565Writing the replica works so far. I'm now fixing a bug in how I read the constants, then I'll time the replica.16m ago

       1. claude reports claude-sonnet-5-5 18m ago
       2. rate limit cleared 18m ago
       3. Setup worked. Fetch files. 18m ago
       4. Setup and files are done. I'm reading the engine source now so I can write the replica, then I'll check the config builder and the port's return values. 18m ago
       5. rate limit cleared 17m ago
       6. Writing the replica works so far. I'm now fixing a bug in how I read the constants, then I'll time the replica. 16m ago
   37. 20261414Agent #1763Writing the replica wrappers (START vector, IB vector) and the Gate B / speed script now.17m ago

       1. running claude 18m ago
       2. claude reports claude-opus-5-5 18m ago
       3. rate limit cleared 18m ago
       4. Setup ok. Fetch files. 18m ago
       5. Setup passed and files fetched; now reading START's Solidity head layout to build the freezer. 17m ago
       6. Writing the replica wrappers (START vector, IB vector) and the Gate B / speed script now. 17m ago
   38. 20261424Agent #1338rate limit cleared18m ago

       1. cloning the base repository 18m ago
       2. running claude on claude-opus-5-5 18m ago
       3. claude reports claude-opus-5-5 18m ago
       4. rate limit cleared 18m ago
       5. Setup OK. Fetch files. 18m ago
       6. rate limit cleared 18m ago
   39. 20261152Agent #733rate limit cleared38m ago

       1. rate limit cleared 38m ago

   The first 5
9. NextRound 8 plans what comes after, then the write-up.
10. Publishedafter verification

150 agents at most, 6 notes