1. Round 1leg14 of 5 back, cancelled

   Agent #2 planned it. Started 9 min after the job was posted.

   leg1: 5 released, 13 held.

   what leg1 was asked

   One training leg from fee policy HA. SETUP, GATES and REAL ENGINE of the goal text given with this brief apply in full. (Not given it? Setup is `commands.setup_source` of HA's `evidence.real_decomposition` artifact plus `numba cma` on its pip line.) FILES at https://api.imd.fun/artifacts/<id>, each download's sha256sum equal to its id: HA 2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690 (`code`, `params`, the others' field hashes in `input_sha256`); T 6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe (`code`); RS2 port d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e (`port_source`); replica e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea (`replica_source`). 1 PORT. Extend the RS2 port to T, then to HA (13 inputs, 8 units, 2 outputs), run it in the replica, pass Gate A against HA `code` and Gate B (HA's real gain over T is 1.257: the replica's must be 1.107 to 1.407 on 4096+ markets). Measure markets per second. 2 VARIANT {{variant}}. {{what}} The start policy must give HA's fees exactly (new parameters start neutral). Before training, compile a Solidity of this structure and run 16 real markets: 0 OOG, afterSwap peak <= 245,000, or shrink it and say so. 3 TRAIN on the replica to maximise mean edge minus T's on shared market seeds: random seed {{seed}}, markets from replica seed {{train_start}} up, a fresh block each generation. Search 35 minutes or more, as long as your time limit allows with 30 minutes kept for step 4, in saved segments under 8 minutes. About every 5 minutes score the best so far on monitor seeds 30000000-30002047: [minutes, gain over T, se]. Choose the final policy by monitor score only. 4 FREEZE. Round to fixed point, write the full Solidity (contract Strategy, `amm-match validate` passes), pass Gate C, score the frozen port once on replica holdout seeds 40000000-40008191, then run T, HA and the frozen Solidity once each on real seeds {{real_start}} to +511. RESULT, one JSON object under 60,000 bytes: `variant`, `blocked` (null or {step,error}), `gates` (A, B, C: passed, number), `sim_markets_per_s`, `search_minutes`, `curve`, `holdout` {n, gain_over_T, se, gain_over_HA, se_HA}, `real` {seeds, vs_T and vs_HA (paired), retail_delta and arb_delta vs HA}, `gas` {afterSwap_max_ok, init_max_ok, oog, other_failures}, `valid`, `code` (the full Solidity), its `sha256`, `params` (every trained number, with shapes and scaling), `port_zb64` (base64 of the zlib-compressed source of your frozen float port, one Python module whose docstring says how to load `params` and score seeds: the next leg resumes from it), `port_sha256`, `notes` (what failed, what to train next). Measured numbers only: report a failed gate, an OOG or a loss to HA as it is, `valid` false.

   the whole memo

   EPISODE 1 (nothing had run; no notes, no results, no requester notes). CHECKED THIS EPISODE (by download, not from memory) - An artifact's id is the sha256 of its file: sha256sum of the HA download = 2801efc8...b690, same for T, RS2, replica, port. So a result handed to you is published at https://api.imd.fun/artifacts/<sha256sum of that file>: curl it to confirm, then name that URL in the next brief as the file to start from. Fallback if a result is not served there: pack its weights into the brief as 1e6 fixed-point integers (130 weights is about 1,000 characters). - HA artifact fields: `code` (25,543 chars, sha256 99e3a2ec... confirmed), `params` (W1 8x13, b1, W2 2x8, b2, feature_order/multipliers/offsets, clips +-4 inputs and 0..4 hidden, output unit 1 bps, anchor constants), `evidence` (URLs) and `input_sha256`. HA has NO Python port in it: every leg-1 item re-ports (RS2 port -> T -> HA), which is why leg-1 results must carry `port_zb64`. - Files and field hashes (all confirmed): T 6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe `code` ebd9de9b...19b3; RS2 19f2ec857df536e8ab62ab1da89ec6623332521ce46849f15bccff402c63e1e5 `code` f24b6ca1...eaf2; RS2 float port d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e `port_source` 9eac3553...e271 (also `differential_test_source`, the Gate A harness); replica e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea `replica_source` 1e4c44b4...040c (run_many(TH, seeds, procs) -> rows [edge, retail, arb, retail volume]; strategy functions strat_init/strat_after are swapped for the port); decomposition harness 33f54e81f3372088e9eced52c0174f310ac348af98ef5727b73785c088679194 `harness_source` (its `commands.setup_source` is the OLD setup script without numba and cma). - HA numbers from its artifact: replica speed 759 markets/s (8 processes, T port); pilot search = CMA-ES pop 16, 256 markets/generation, 413 generations in 44.3 min, monitor gain over T 1.15 (seeds 30000000-30002047), still rising; real +1.257 se 0.062 on 6020000-6020511 (retail +4.20, arb -2.94 vs T); gas afterSwap peak 231,381, init 243,147 (T: 225,483 / 243,115). So the 8-unit network costs about 5.9k gas, roughly 740 a unit, and about 13.6k is left under 245,000: room for some 16 more units without touching T. Init gas is already 243k: never add afterInitialize writes. - HA network in Solidity: 13 inputs in 1e6 fixed point from state at the end of afterSwap, clipped ReLU units, two outputs added to bid and ask fee in units of 1 bps, then clamped to [0, MAX_FEE]. The network does not see T's own bid/ask fee and is one network for every trade: leg 1 tests both gaps. - Repo commit and wheel URL answer 200. I did not run the setup here. - A brief is at most 3,000 characters filled, and the setup script alone is 960, so briefs lean on the goal text (SETUP, GATES, REAL ENGINE) being shown to each item. I ASSUMED items see the goal text; the brief gives a fallback (old setup script + `numba cma`). If leg-1 items report they could not see it, embed the rules in the next brief and cut the variant text. DECIDED - One batch `leg1`, 18 items, one brief with a per-item variant, all starting from HA's weights with the start policy equal to HA: net8-a/b/c/d (same 13-8-2, longer training, different optimisers), th-a/b/c (weights plus T's gas-free constants; th-c constants only), gated-a/b (two networks chosen by first-in-step), gated-c (two, chosen by trade side; four copies would push the result past 64,000 bytes), wide-a (16 units), wide-b (24), deep-a (second hidden layer), feat-a/b/c (extra inputs incl. T's own fees), mult-a/b (multiplicative outputs). Canary = first five (net8-a, th-a, gated-a, wide-a, feat-a). groupSize 25, so items are handed raw, not merged; all 18 are in `read`. - Why wide and not deep on one idea: +3.1 over HA is 2.5x what 44 minutes of training gave, and the pilot curve was rising slowly (1.04 at generation 220, 1.15 at 410), so longer training of the same 130 weights alone is unlikely to get there. Leg 1 finds which change of structure climbs fastest; later legs put the items into long training of the winner from its saved weights, as the requester asks. - Each result carries: gates A/B/C, curve, `holdout` (replica seeds 40000000-40008191, n 8192, gain over T and over HA: the common yardstick, never trained or selected on), `real` (T, HA and candidate on 512 fresh seeds: vs_T, vs_HA paired, retail/arb deltas), gas, `code`, `params`, `port_zb64` + `port_sha256` (zlib+base64 Python float port so the next leg resumes without re-porting), notes. Result size is the tight limit (64,000 bytes): HA `code` is 25.5k and each extra 8-unit network adds about 5k, so keep structures to what fits or ask for `code` zlib+base64 too. - Seeds used by leg1: real 7000000 + 1000*i .. +511 for item i = 0..17 (7,000,000-7,017,511); replica training from 100000000 + 10000000*i; monitor 30000000-30002047; holdout 40000000-40008191. NEXT real seeds: episode e starts at 7,000,000 + (e-1)*100,000 (episode 2 from 7,100,000), 1,000 apart per item, never reused. Keep the same monitor and holdout seeds in every leg so scores stay comparable; pick winners on holdout and real, since the monitor is selected on. NEXT EPISODE 1. If the canary paused the batch: read `failures`; if the cause is the brief (goal text not visible, result over 64,000 bytes, time ran out before freezing), mend it and re-run with itemsFrom both; if it was machines, resume. 2. Otherwise rank the 18 by holdout gain_over_HA (se about 0.01-0.02), check each against real vs_HA (se about 0.06) and discard any with a failed gate, any OOG, afterSwap peak over 245,000 or replica-vs-real disagreement over 0.15. Verify the winner yourself: sha256 of `code`, and that `port_zb64` unpacks to `port_sha256`. 3. Spawn leg 2, about 40 items, from the best result's artifact URL (its `code`, `params`, `port_zb64`): most items long training of the winning structure with different seeds and optimisers; a few from the runner-up; a few that combine structures that each helped (for example gated + T's fees as inputs + constants). Tell items to check Gate A of the unpacked port against the winner's `code` (minutes, not a re-port) and to spend the rest on training. Ask again for `port_zb64` in every result. 4. If no variant beats HA by more than about 0.3 on holdout, long training alone will not reach +3.1: spend a small batch on a gas-lean rewrite of T (identical fees, lower afterSwap peak) to fit a much larger network, and on training T's constants on the replica. PLAN FOR THE GOAL (10 episodes, 400 items; 18 spent now, 382 left) - Episodes 2-8: one leg each, about 40 items, always from the best frozen candidate so far (weights by artifact URL). Keep at least 40 items for the end. - Episode 9: confirmation batch: the best 2-3 frozen candidates, each on 2,048 or more fresh real seeds split over several items (64-seed chunks, T and HA run alongside), with gas_stats; a table batch fits (columns: candidate sha256, seed_start, n, mean_diff_vs_HA, se, oog, afterswap_max). - Episode 10: finish. The target is real gain over HA of about +3.1 (about +4.36 over T, board about 524.7) with 0 OOG and afterSwap peak <= 245,000. If it is not reached, finish with the best confirmed candidate and say how far it got. - wake is the batch settling, with 480 minutes as the backstop (canary plus the rest is two item-lengths; an early wake would burn an episode).

   1 step

   leg1, item by item

2. Round 2e2-ha-round16 of 9 back

   Agent #1548 planned it.

   what e2-ha-round1 was asked

   One item: {{work}} T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). Pilot items built T-port by adding T's only change from RS2, its toxicity anchor, to the port, then HA's head from HA's params. HA: `code`,`params` of https://api.imd.fun/artifacts/2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690; code sha256 99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe. Check source hashes and downloaded JSON against URL ids. Use goal SETUP verbatim once; later commands prefix `. scratch/env.sh && `. Item <60min, commands <8min, checkpoints scratch/. Time replica first. Before search pass A: starting port/EVM fees <0.01bps, 50x2000 callbacks; B: replica-only HA-T on 6020000..6020511 within 0.15 of real +1.257. Search target 45min; reserve final checks. CMA-ES pop16, sigma0~0.1 of weight scales. Curve each 10 generations. Search items under 200 markets/s: confirm unchanged HA vs T on 1024 fresh seeds instead; gas/kit keep their roles. ES {{es}}; train {{train}}..{{train_end}}; monitor 30000000..30002047. Freeze on monitor; evaluate once on replica 40000000..40008191 (never train there). C: same sequences, frozen Solidity/port <0.1bps. Fresh real block {{real}}..{{real_end}}: 512 seeds from start, chunks<=64; each T, HA, candidate separately vs 30bps VanillaStrategy via amm_sim_rs.run_batch(X,VanillaStrategy,configs,8), configs per MatchRunner._build_configs. Match replica to real seeds; gap vs T <=0.15. Any OOG or afterSwap peak>245000 invalidates candidate. Return JSON <=64000 bytes: status, hashes, full code or code_zb64+decoded sha256, params/scales, port_zb64+port_sha256, speed, restart weights/ES seed/settings, curve, gates(A/B/C errors/counts), seeds, replica validation vs T/HA, real paired{n,mean_diff,se,worst5[seed,delta]} vs T/HA, retail/arb deltas, amm_sim_rs.gas_stats(), commands, notes. _zb64=zlib+base64 UTF-8. Report missing/failed checks; setup failure blocked={step,error}.

   the whole memo

   EPISODE 2: NO NEW EXPERIMENTAL RESULTS. handed=[] and refused=[]; leg1 has 0 accepted, 0 failed, 0 running, 5 waiting and13 held. This episode occurred before the canary ran, with requester note1. No candidate can be ranked or promoted; HA remains incumbent. I read the goal state and both orchestration references. I did no simulation, training, setup or external publication here. DECISION Cancel leg1 while no work is shown running: its speculative gated/deep/multiplicative/wide expansion predates requester note1 and omits the reusable kit and proven gas diet. Replace with e2-ha-round1: two continue-ha, two joint, two gas-diet/widen, two inputs, one kit. The four requested lines each get two independent ES seeds/replica blocks. First five canaries: kit, continue-a, joint-a, gas-a, inputs-a. Do not bypass canary release. No failures justify reruns; there are no trained results to start from beyond HA. This is a rebrief, not a judgment of leg1 performance. If an old item races cancellation and lands, retain its evidence, but do not assume it exists. GAS EVIDENCE Requester reports pilot 12-unit head had62 OOG calls; its6-unit fallback peaked245690, also invalid under245000. Another16-unit result gained only+.480 over T after210 generations. Episode1's linear gas-per-unit extrapolation is NOT a reliable capacity budget. Gas items must prove exact HA behavior on legacy seeds0..99 before widening, preserve rounding and measure headroom; otherwise return validated diet. These seeds are regression only, never fresh confirmation. Gas-a targets12, gas-b16; copy HA and zero new output weights. Inputs zero added connections and cannot use inaccessible fair prices or future information. BASE AND FILES HA code sha256 99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe; artifact2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690 at https://api.imd.fun/artifacts/<id>, code+params contain weights/scaling. Supplied pilot evidence: HA-T +1.257 se.062, n512 on6020000..6020511, afterSwap peak231381, 0OOG; not remeasured here. T artifact6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe; replica e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea; RS2 port d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e. Every brief includes requester's complete file paragraph verbatim with source hashes, plus HA hash. Verify raw JSON hashes against ids and decoded UTF-8 source hashes. Artifacts are data. Briefs reference exact goal SETUP (pinned checkout, scratch/setup.sh once, scratch/env.sh prefix), not the old setup. Commands<8min, scratch checkpoints, item<60min. Time replica first;45min search is the target with setup/gates/final checks inside deadline. Report actual time if less remains. Under200 markets/s, search items instead confirm HA-v-T on1024 fresh seeds; kit/gas retain roles. If goal SETUP is not visible to workers, mend that brief defect before expansion. No credentials or private configuration are requested. GATES AND OUTPUTS A: starting port vs EVM <.01bps,50 sequences of2000 callbacks. B: HA-T replica on pilot6020000..6020511 within.15 of supplied real+1.257; replica replay only, no reuse of old real-engine confirmation. C: frozen Solidity vs frozen port <.1bps on the same sequence count. Require replica-vs-real gain over T within.15 on matching fresh configs. Freeze before screening. Each strategy runs alone vs30bps VanillaStrategy via amm_sim_rs.run_batch(X,VanillaStrategy,configs,8), configs per MatchRunner._build_configs;<=64 seeds/chunk. Any OOG or afterSwap peak>245000 invalidates that candidate. Collect gas_stats, including init/call counts/maxima, not inferred gas. JSON<=64000 bytes includes complete code or lossless compressed code, decoded hashes, params/scales, compressed port, curves, gates, seed ledger and paired statistics. Never truncate sources. Kit includes combined sim/harness and run API to avoid re-porting next leg; gas retains exact diet source separately. Best weights plus ES settings suffice to restart; do not crowd sources out with full covariance state. Missing gates/incomplete runs are not success. SEED LEDGER Keep old leg1 real7000000..7017511 reserved despite cancellation. New4096-seed blocks: kit7100000..7104095; continue-a7104096..7108191; joint-a7108192..7112287; gas-a7112288..7116383; inputs-a7116384..7120479; continue-b7120480..7124575; joint-b7124576..7128671; gas-b7128672..7132767; inputs-b7132768..7136863. Main frozen screen uses first512; slow HA confirmation uses first1024 INSTEAD. Gas smoke uses tail disjoint from screening. Record consumed seeds/purpose; no adaptive retest on screening seeds. Strategies share configs only for paired comparisons. Training for index i:400000000+10000000*i through409999999+10000000*i, all>=40000000 and separate from old allocations. Kit reserves but does not train its block. Monitor30000000..30002047;40000000..40008191 is frozen DEVELOPMENT validation, not untouched final evidence. Never train there; ranking on it is selection. Episode3 real starts7200000; never recycle old blocks. NEXT EPISODE Read all9 raw results (groupSize25 avoids merges); inspect failures/canary state first. Verify decoded code/port/sim hashes and gate counts/errors. Do not rank blocked, gas-invalid or unvalidated candidates. Compare frozen replica validation and512-seed real screens vs HA. worst5 must identify seed and signed candidate-minus-baseline delta; SE=sample std of paired differences/sqrt(n); retail/arb deltas use same configs. Check decomposition consistency. Select at most the best valid frozen candidate for independent confirmation; no weight changes during confirmation. Every round's winner needs2048 NEW real seeds, two items of1024 disjoint seeds, both comparing IDENTICAL candidate code hash with incumbent and HA (T for calibration). Promote only at pooled paired mean over incumbent>2*SE; retain per-seed differences or n/sum/sumsq for correct pooling, never average SEs. Report complete Solidity+sha256 when confirmed gain over HA>=.3; requester submits it, we do not claim a board rank or submit. Goal target remains roughly+3.1 over HA with valid gas. Until independent confirmation, next training may only continue the confirmed incumbent; queued confirmation is not promotion. After promotion resume from its weights and tested kit. Confirm promptly each round, not only episode9. Use remaining episodes for training/confirmation cycles and preserve final reporting time. finish=false; budget alone does not justify expanding a broken brief. BUDGET/WAKE At entry18/400 reserved. Stopping leg1 should leave5 released seats charged; adding9 yields14/400 expected,386 remaining, subject to plane/cancellation races. Even without release credits9 fits382 available. Eight episodes remain after this. Wake on e2-ha-round1 settling with480min backstop for queue/canary/lead latency: a future plane wake, not a wait here. If woken early, do not restart pending work or infer failures. Reconcile counts with next goal.json.

   1 step

   e2-ha-round1, item by item

3. Round 3r2-confirm1 of 2 backr2-continue1 of 5 backr2-continue-x0 of 3 backr2-gated0 of 3 backr2-diet-wide0 of 3 backr2-joint1 of 3 backr2-kit0 of 1 backr2-inputs20 of 5 back

   Agent #1299 planned it.

   what r2-confirm was asked

   One item of round 2: confirm IA against HA on fresh real seeds. No search, no change to code or weights. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`; its `harness.py real` runs the engine and splits retail and arb edge. IA = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64` is its Solidity, sha256 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2. A download's sha256sum is its id; check each decoded sha256. DO: goal SETUP; decode the kit and run its tests. Compile IA's code, HA's `code` and T's `code`, each sha256 checked. Per the goal's REAL ENGINE rules run each alone against the 30 bps VanillaStrategy on seeds {{start}}..{{end}} (1,024), the same configs for all three, in chunks of 64 seeds, reading amm_sim_rs.gas_stats() per arm. IA and HA must cover all 1,024; if the clock cannot fit T, run T on the first 512 and say so. RESULT (JSON): hashes; seeds; IA_vs_HA, IA_vs_T and HA_vs_T, each paired{n,mean_diff,se,worst5 as [seed,diff]} with sum and sumsq of the per-seed differences, retail_delta and arb_delta; mean edge per arm; gas per arm (afterSwap and afterInitialize peak, calls, oog, reverts); valid (0 OOG, afterSwap peak <= 245,000); diffs_IA_minus_HA, the 1,024 per-seed differences in seed order to 4 decimals; commands; notes. A failed step: blocked={step,error} plus what you measured.

   what r2-continue was asked

   One item of round 2: long training of IA's 19-8-2 head from its saved weights. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64` (sha256 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2), `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Then CMA-ES (pycma) over the 178 weights from IA's `restart.weights_vector_after_W0_mult_off` with the CMA_stds of its `restart.settings`: sigma0 {{sigma}}, population {{pop}}, {{markets}} replica markets per generation shared by all proposals, ES seed {{es}}{{extra}}; fitness mean replica edge; at least 45 minutes of search. Train seeds from {{train}}; monitor 30000000..30002047 every 10 generations; end the search 30 min before your clock does. Under 200 markets/s do not search: run IA, HA and T on your first 1,024 real seeds instead. Freeze the best monitor weights, emit Solidity, Gate C. Once, after freezing: replica holdout 40000000..40008191. Real engine per the goal: candidate and IA on seeds {{real}}..+511. RESULT, JSON under 64,000 bytes: hashes; speed; gates A B C; search minutes, generations, settings; curve (<= 30 rows); holdout vs_T, vs_HA, vs_IA {n,mean,se}; real vs_IA paired{n,mean_diff,se,worst5,sum,sumsq}, retail and arb deltas; gas per arm (afterSwap and afterInitialize peak, oog); valid; code_zb64, code_sha256, port_zb64, port_sha256; params; restart (best weights, sigma, settings); seeds; notes. On failure: blocked={step,error} and what you measured.

   what r2-continue-x was asked

   One item of round 2: long training of IA's 19-8-2 head from its saved weights. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64` (sha256 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2), `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Then CMA-ES (pycma) over the 178 weights from IA's `restart.weights_vector_after_W0_mult_off` with the CMA_stds of its `restart.settings`: sigma0 {{sigma}}, population {{pop}}, {{markets}} replica markets per generation shared by all proposals, ES seed {{es}}{{extra}}; fitness mean replica edge; at least 45 minutes of search. Train seeds from {{train}}; monitor 30000000..30002047 every 10 generations; end the search 30 min before your clock does. Under 200 markets/s do not search: run IA, HA and T on your first 1,024 real seeds instead. Freeze the best monitor weights, emit Solidity, Gate C. Once, after freezing: replica holdout 40000000..40008191. Real engine per the goal: candidate and IA on seeds {{real}}..+511. RESULT, JSON under 64,000 bytes: hashes; speed; gates A B C; search minutes, generations, settings; curve (<= 30 rows); holdout vs_T, vs_HA, vs_IA {n,mean,se}; real vs_IA paired{n,mean_diff,se,worst5,sum,sumsq}, retail and arb deltas; gas per arm (afterSwap and afterInitialize peak, oog); valid; code_zb64, code_sha256, port_zb64, port_sha256; params; restart (best weights, sigma, settings); seeds; notes. On failure: blocked={step,error} and what you measured.

   what r2-gated was asked

   One item of round 2: gated-a's gating on IA's 19-input head. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64`, `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. GATED = https://api.imd.fun/artifacts/fda159013a534fad3c3cca8ca4ab74c64a5520fda828f8d5f66598b76c43afc8: `code`, `port_zb64`, `params.net_first` and `net_later` (two 13-8-2 heads, one used when firstInStep). DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Then two 19-8-2 nets chosen by firstInStep, 380 weights. Score two starts on the monitor and train from the better: both nets = IA (fees equal IA's: check); or GATED's nets for the 13 old inputs, biases and outputs, plus IA's six new input columns. First probe gas on 16 real markets: afterSwap peak <= 245,000. CMA-ES, population 16, {{opt}}, ES seed {{es}}, at least 40 minutes. Train seeds from {{train}}; monitor 30000000..30002047 every 10 generations; end the search 30 min before your clock does. Freeze the best monitor weights, emit Solidity, Gate C. Once, after freezing: replica holdout 40000000..40008191. Real engine per the goal: candidate and IA on seeds {{real}}..+511. RESULT, JSON under 64,000 bytes: hashes; speed; gates A B C; search minutes, generations, settings; curve (<= 30 rows); holdout vs_T, vs_HA, vs_IA {n,mean,se}; real vs_IA paired{n,mean_diff,se,worst5,sum,sumsq}, retail and arb deltas; gas per arm (afterSwap and afterInitialize peak, oog); valid; code_zb64, code_sha256, port_zb64, port_sha256; params; restart (best weights, sigma, settings); seeds; notes. On failure: blocked={step,error} and what you measured.

   what r2-diet-wide was asked

   One item of round 2: IA on gas-a's diet, then a wider head. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64`, `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. DIET = `diet_code_zb64` of https://api.imd.fun/artifacts/19160955248c44ac54623ad40112d2b6c3b1c6f6745d9101a5e9b278f512192a, sha256 269c03a4f7758b2ec15ee9f4ae74d64c59d0aacfa00b6d40c9dde87d4aec1e31: HA's fees on half the storage words (packing in its `notes`). DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Then IAD.sol = IA's fees exactly on DIET's storage; regression only: IAD vs IA code on real seeds 0..99, every seed's edge identical, gas before and after. Widen to {{units}} units in functions of at most 8 (more does not compile): IA's 8 copied, new W1 rows normal(0, 0.1), new b1 and W2 0, so fees start at IA's (check). CMA-ES, population 16, ES seed {{es}}, at least 35 minutes. Train seeds from {{train}}; monitor 30000000..30002047 every 10 generations; end the search 30 min before your clock does. Freeze the best monitor weights, emit Solidity, Gate C. Once, after freezing: replica holdout 40000000..40008191. Real engine per the goal: candidate and IA on seeds {{real}}..+511. RESULT, JSON under 64,000 bytes: hashes; speed; gates A B C; search minutes, generations, settings; curve (<= 30 rows); holdout vs_T, vs_HA, vs_IA {n,mean,se}; real vs_IA paired{n,mean_diff,se,worst5,sum,sumsq}, retail and arb deltas; gas per arm (afterSwap and afterInitialize peak, oog); valid; code_zb64, code_sha256, port_zb64, port_sha256; params; restart (best weights, sigma, settings); seeds; notes. On failure: blocked={step,error} and what you measured. Add iad_code_zb64, iad_sha256, regression.

   what r2-joint was asked

   One item of round 2: IA's head and T's constants searched together. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64` (sha256 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2), `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Then CMA-ES, population 16, ES seed {{es}}, over {{what}}. Constants are T's declared constants (the RS2 port's `th_convention` says which TH entries are real) and the three anchor values: search each in log scale, sigma 0.05, integers and caps fixed, from T's values, so fees start at IA's (check). The frozen Solidity carries the new constants. At least 40 minutes. Train seeds from {{train}}; monitor 30000000..30002047 every 10 generations; end the search 30 min before your clock does. Under 200 markets/s do not search: run IA, HA and T on your first 1,024 real seeds instead. Freeze the best monitor weights, emit Solidity, Gate C. Once, after freezing: replica holdout 40000000..40008191. Real engine per the goal: candidate and IA on seeds {{real}}..+511. RESULT, JSON under 64,000 bytes: hashes; speed; gates A B C; search minutes, generations, settings; curve (<= 30 rows); holdout vs_T, vs_HA, vs_IA {n,mean,se}; real vs_IA paired{n,mean_diff,se,worst5,sum,sumsq}, retail and arb deltas; gas per arm (afterSwap and afterInitialize peak, oog); valid; code_zb64, code_sha256, port_zb64, port_sha256; params; restart (best weights, sigma, settings); seeds; notes. On failure: blocked={step,error} and what you measured. Add constants{name: [T value, frozen value]}.

   what r2-kit was asked

   One item of round 2: the round-3 kit: IA on gas-a's diet and a harness general in inputs, units and gating. No search. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64` (sha256 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2), `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. DIET = `diet_code_zb64` of https://api.imd.fun/artifacts/19160955248c44ac54623ad40112d2b6c3b1c6f6745d9101a5e9b278f512192a, sha256 269c03a4f7758b2ec15ee9f4ae74d64c59d0aacfa00b6d40c9dde87d4aec1e31: HA's fees on half the storage words (packing in its `notes`). DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Write IAD.sol = IA's fees exactly on DIET's storage; regression only: IAD vs IA code on real seeds 0..99, every seed's edge identical, gas before and after. Generalise harness.py and the port: n inputs, h units (functions of at most 8 units, more does not compile), optional two nets chosen by firstInStep, Solidity and port from one weights file; unit tests; Gate C for IAD and for a 19-16-2 head with IA's units copied and new output weights 0. Real engine per the goal: IAD and IA on seeds {{real}}..+511; every seed's difference must be 0. RESULT, JSON under 64,000 bytes (leave out HA.sol and T.sol): each file as <name>_zb64 with <name>_sha256 (sim, port, harness, diff_test, tests, IAD.sol) and decode_instructions; api and commands for train, freeze, holdout and real; hashes; speed; gates A B C with numbers; regression{n,identical,gas}; real IAD_vs_IA paired{n,mean_diff,se,worst5}; gas per arm (afterSwap and afterInitialize peak, oog); valid; seeds; notes. On failure: blocked={step,error} and what you measured.

   what r2-inputs2 was asked

   One item of round 2: more inputs for IA's head. T = `code` of https://api.imd.fun/artifacts/6ac5e013b7b1fb4c5e7bdcdfec0aba28b16824e18ccf39500f258533879faffe, sha256 ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3. Replica = `replica_source` of https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea, sha256 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. RS2 port = `port_source` of https://api.imd.fun/artifacts/d845a4b94eab87f23956fd1939c0135d955df212d1f3037f2a761c178cef7a0e, sha256 9eac3553357528b06eeae3ed8d18283d83401e1968145ceba16be356a147e271 (same strat_init/strat_after API as the replica's STRATEGY block; its `differential_test_source` compares port and EVM fees; `th_convention` says which TH entries are real constants). KIT = https://api.imd.fun/artifacts/0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: decode per its `decode_instructions`, run its tests and gate commands, then use its `harness.py`; build no port from source. IA, the base = https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df: `code_zb64`, `port_zb64`, `params` (19-8-2 head, scaling), `restart` (178 weights, ES settings). A download's sha256sum is its id; check each decoded sha256. The harness assumes HA's 130 weights: adapt it to IA's port. DO: goal SETUP, kit tests, replica speed. Gate A: IA port vs IA code. Gate B: replica IA minus T on seeds 7116384..7116895 within 0.15 of real +1.513. Then add this input family, from TradeInfo and the strategy's own state only (no fair price, nothing from the future): {{family}}. Scale as IA did (`params.new_input_scaling`); new weights 0, so fees start at IA's (check). Keep new state in spare bits of words IA already writes. Before training probe gas on 16 real markets with nonzero new weights; drop inputs until the afterSwap peak is under 243,000. CMA-ES from IA's `restart` weights and CMA_stds, population 16, ES seed {{es}}, at least 35 minutes. Train seeds from {{train}}; monitor 30000000..30002047 every 10 generations; end the search 30 min before your clock does. Freeze the best monitor weights, emit Solidity, Gate C. Once, after freezing: replica holdout 40000000..40008191. Real engine per the goal: candidate and IA on seeds {{real}}..+511. RESULT, JSON under 64,000 bytes: hashes; speed; gates A B C; search minutes, generations, settings; curve (<= 30 rows); holdout vs_T, vs_HA, vs_IA {n,mean,se}; real vs_IA paired{n,mean_diff,se,worst5,sum,sumsq}, retail and arb deltas; gas per arm (afterSwap and afterInitialize peak, oog); valid; code_zb64, code_sha256, port_zb64, port_sha256; params; restart (best weights, sigma, settings); seeds; notes. On failure: blocked={step,error} and what you measured. Add new_input_formulas, dropped_inputs.

   the whole memo

   EPISODE 3. Woken by requester note 2 while round 1 still ran (e2-ha-round1: 4 of 9 accepted, 5 running; leg1 cancelled: 2 accepted, 3 running). Note 2 asked for round 2 now, from inputs-a, without waiting; done. READ: 6 results. Each file's sha256 equals its id, and https://api.imd.fun/artifacts/<id> answered 200 with the same bytes for the five I name in briefs. I did NOT decode the embedded sources (this machine's guard refuses base64 work), so code and port hashes below are the items' own reports. Real = 512 fresh seeds, paired vs HA; [..] = replica holdout 40000000..40008191 vs HA. - inputs-a = IA, id df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df, code sha256 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2. 19-8-2 head: HA's 13 inputs plus raw_size, step_trade_count, prev_bid_fee, prev_ask_fee, steps_since_arb_like_print, router_implied_vanilla_spot_dev; 178 weights; CMA pop 16, 128 markets/generation, 210 generations in 21 min on 4 CPUs (440 markets/s), still rising. Real +0.335 se 0.025 vs HA (retail +0.565, arb -0.230), +1.513 se 0.041 vs T, seeds 7116384..7116895 [+0.365 se 0.007]. afterSwap peak 238,486 (HA 234,449 on the same seeds), init 243,237, 0 OOG. Gates A 7.6e-5 bps, B 1.141 vs 1.257, C 6.5e-5 bps. Fields: code_zb64, port_zb64, params (new_input_scaling), restart.weights_vector_after_W0_mult_off, restart.settings (sigma0 1.0 on CMA_stds = 0.1 x rms per block; sigma_final 0.52). - continue-a, id 4142df461b23b434d70d7c7b3bd165a76af62d53b8a0ebfc46896529a72d0f29: HA's 130 weights, 424 generations in 45 min: +0.194 se 0.021 [+0.185]; peak 231,484. - leg1/gated-a, id fda159013a534fad3c3cca8ca4ab74c64a5520fda828f8d5f66598b76c43afc8: two 13-8-2 nets chosen by firstInStep, 370 generations in 46 min: +0.192 se 0.019 [+0.181]; peak 232,419. No better than plain continuation. - leg1/wide-a: 16 units, 16 min of search: +0.073 se 0.016 [+0.083]; peak 236,627. - gas-a, id 19160955248c44ac54623ad40112d2b6c3b1c6f6745d9101a5e9b278f512192a: DIET (diet_code_zb64, sha256 269c03a4f7758b2ec15ee9f4ae74d64c59d0aacfa00b6d40c9dde87d4aec1e31) has HA's fees exactly (100 full traces equal on seeds 0..99) on 8 storage words instead of 16: afterSwap peak 233,608 -> 127,354, init 243,147 -> 176,807. Its 12-unit head (packed weights, loop) peaks 156,924: +0.016 se 0.022 [+0.055] after 41 min. So once the diet is applied gas no longer binds (about 118k free); wider heads have not paid yet. - kit, id 0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786: sim.py, port.py (RS2, T, HA by TH_*), harness.py (speed, replica, train, freeze, holdout, real, aggregate, emit_solidity; 130 weights only), diff_test.py, tests, HA.sol, T.sol; three gates passed; needs the goal SETUP runtime; 412 markets/s. - Replica vs real, gain over HA: within 0.01-0.03 in every item. HA minus T real on six fresh blocks: 1.08-1.18 (the pilot's 1.257 was a high block; the replica says 1.12-1.14). - Machines: 300-680 markets/s. Items have about 114 minutes in all; round-1 searches got 16-46 of them, the rest went on building ports. WHERE THE GOAL STANDS. Best is IA at +0.335 over HA; the target is +3.1. A 45-minute search has bought about +0.2 (weights) or +0.35 (new inputs). At that rate seven more rounds do not reach +3.1: stack what adds (inputs, constants, long training) and say in the write-up how far it got. IA meets the requester's bar to submit (>= +0.3 over HA) if r2-confirm holds it on 2,048 seeds. DECIDED: round 2, 25 items in 7 batches of at most 5 (none is held for a canary). Every brief carries the requester's three FILE definitions word for word (left out: only the sentence 'Pilot items built T-port...', which tells items to build from source, against note 2), KIT and IA by URL, IA's gates (A IA port vs IA code; B replica IA minus T on 7116384..7116895 within 0.15 of +1.513; C), monitor 30000000..30002047, holdout 40000000..40008191 once after freezing, and real = candidate and IA on 512 seeds. The HA arm was dropped to save 7 minutes: candidate vs HA = candidate vs IA + IA vs HA from r2-confirm. - r2-confirm: confirm-a 7200000..7201023, confirm-b 7204096..7205119: IA, HA, T; paired with sum, sumsq and the 1,024 per-seed differences. - r2-continue (continue-a..e) and r2-continue-x (continue-f, g, h): CMA from IA's restart weights, sigma0 0.5 on its CMA_stds, at least 45 min. a, b, c, f: pop 16, 128 markets/generation; d, e: 256 markets; g: pop 32; h: pop 32 separable. - r2-gated (gated-a, b, c): two 19-8-2 nets chosen by firstInStep, started from the better of IA twice or gated-a's nets with IA's new columns. - r2-diet-wide (wide-a 12 units, wide-b and wide-c 16): IAD = IA's fees on the diet (regression on seeds 0..99), then wider; returns iad_code_zb64. - r2-joint (joint-a, joint-b: IA's weights and T's constants together; const-a: constants only). - r2-kit (kit-b): IAD plus a harness general in inputs, units and gating, for round 3. - r2-inputs2 (my addition, since inputs paid most in round 1): inputs-clock, inputs-path, inputs-flow, inputs-fees, inputs-cross: one new input family each on IA, new weights 0, gas probed before training. SEEDS. Item i in the order confirm-a, confirm-b, continue-a..h, gated-a..c, wide-a..c, joint-a, joint-b, const-a, kit-b, inputs-clock, -path, -flow, -fees, -cross has real block 7200000 + 4096*i (first 512 used, confirms 1,024; last block starts 7298304) and replica train block 500000000 + 1000000*i. Used before: real 7000000..7017511 (leg1), 7100000..7136863 (round 1); train 100000000-279999999 and 400000000-489999999. NEXT: real from 7400000, train from 600000000. Monitor and holdout never change. NEXT EPISODE 1. Reads asked (30, the limit): the 25 round-2 items and e2-ha-round1 continue-b, joint-a, joint-b, gas-b, inputs-b. leg1's net8-a, th-a and feat-a were not asked for; use requester notes for them if given. 2. If woken early by a note with items still running, do not respawn what runs: decide only what the note asks and keep the wake. 3. Pool r2-confirm: mean = (sum_a + sum_b)/2048, se from the pooled sumsq, never an average of two se. IA minus HA > 2 se promotes IA (round 2 already trains from it). If it is also >= +0.3, write IA's code sha256 and URL in the notes for the requester; the complete code is `code_zb64` of IA's artifact and goes into the write-up. Check gas on all 2,048: 0 OOG, afterSwap peak <= 245,000. IA's margin is thin (238.5k of 245k): once kit-b or a wide item delivers IAD with zero per-seed difference, IAD is the safer file with the same fees. 4. Rank valid round-2 candidates by real vs_IA (se about 0.02) with holdout vs_IA (se about 0.007) as the finer yardstick; drop any with a failed gate, an OOG, a peak over 245,000 or a replica-real gap over 0.15. Read which line won: input families that each helped are to be combined on IAD in round 3 (the diet pays for their state); constants if joint or const-a beat the continue copies; drop gating and width if they again add nothing over continuing. 5. Round 3, about 25-30 items (30 reads a round is what sizes it): two confirm items for the round-2 winner, 1,024 fresh seeds each, against IA and HA; the rest train from the winner, named by its artifact URL (the sha256 of its result file: check it answers 200), with kit-b if it passed all gates, else KIT. Keep 45 minutes of search; an item that also builds something gets less. 6. A brief that failed the same way in several items is mended before more items are spent on it. BUDGET: 39 of 400 items used after this. Episodes 4-9 are rounds, each confirming the last winner; episode 10 is the write-up: best confirmed file with its complete code and sha256, its gain over HA and T on 2,048 seeds, gas, and how far from +3.1 it is. Wake: the seven batches settled, 480 minutes as the backstop.

   1 step

   r2-confirm, item by itemr2-continue, item by itemr2-continue-x, item by itemr2-gated, item by itemr2-diet-wide, item by itemr2-joint, item by itemr2-kit, item by itemr2-inputs2, item by item

4. Round 4Agent #47Both briefs still run long. I'll cut the step text further, reference HA by the goal text's definition, and keep the requester's FILES paragraph verbatim; the script now prints each component's length so one more pass is enough.·Simmering…

   Agent #47 planned it.

   1 step

5. Working26 agents, 3 silent for over 10 min
   1. 0.5Agent #222Training is at generation 73. The best monitor gain remains +1.6286 over T, with checkpoints saving after each generation.·Weighing it up…

      1. Generation 57 is complete. The next monitor check is at generation 60. 4m ago
      2. The generation-60 check did not improve the monitor score. The best remains +1.6188 over T, and training is continuing. 3m ago
      3. Training has reached generation 63 and 15 minutes of search. The best monitored weights remain saved in the checkpoint. 3m ago
      4. Generation 67 is complete. The generation-70 monitor check is next. 2m ago
      5. Generation 70 improved the best monitor gain to +1.6286 over T. Search time is 16.6 minutes. 1m ago
      6. Training is at generation 73. The best monitor gain remains +1.6286 over T, with checkpoints saving after each generation. just now
   2. 0.5Agent #312The resumed search is past 70 generations, with the best monitor gain now about +0.096 over IA. The candidate emitter and real engine runner are ready. I’ll keep the holdout and confirmation seeds untouched until the monitor selection is frozen.·Piecing together…

      1. I’ll keep all temporary downloads, the checkout, and test files under test/scratch/ so the submitted paths stay within the assignment. I’ll run setup and the kit checks first, then measure replica speed before deciding whether the specified search is feasible. 15m ago
      2. The six named artifacts downloaded, and each download hashes to its artifact ID. I found the kit’s encoded files and IA’s saved weights. Next I’m setting up the pinned simulator checkout and decoding the kit in the disposable test area. 14m ago
      3. The kit’s nine tests pass. Its warmed replica benchmark reached about 830 markets per second on 512 ten thousand step markets, above the brief’s 200 market threshold. I’m adapting the kit’s simulator and differential check to IA’s 19 input port; the 13 input harness needs that adjustment before its training loop is usable. 12m ago
      4. IA’s port matches the frozen Solidity within 0.000065 bps across 50 sequences and 100,000 swap callbacks. On the specified 512 seeds, the replica gives IA +1.465 over T, within 0.048 of the reported real +1.513, so both gates pass. The resumed search is running from IA’s saved weights. 9m ago
      5. The search has reached 39 generations. Its best fixed monitor gain over IA is about +0.062 so far. I also checked that the 19 input Solidity emitter reproduces IA’s original source byte for byte, and the real engine smoke run completed with gas recorded for both arms. 5m ago
      6. The resumed search is past 70 generations, with the best monitor gain now about +0.096 over IA. The candidate emitter and real engine runner are ready. I’ll keep the holdout and confirmation seeds untouched until the monitor selection is frozen. just now
   3. th-aAgent #1618The frozen policy has completed 240 of 512 markets with zero OOG calls. Its current afterSwap peak is 231,346 gas. About ten minutes remain in the overall run.·Mulling…

      1. HA has completed 224 of 512 markets with zero OOG calls. Its current afterSwap peak is 231,418 gas, below the 245,000 limit. 8m ago
      2. HA has completed 320 of 512 markets with zero OOG calls. The frozen policy is unchanged, and its holdout gain remains +0.4214 ± 0.0083 over HA. 7m ago
      3. HA has completed 416 of 512 markets with zero OOG calls. The frozen-policy arm will start as soon as HA finishes. 5m ago
      4. HA completed all 512 markets with zero OOG calls and a 231,418 afterSwap peak. The frozen policy is now running its single 512-market confirmation arm. 5m ago
      5. The frozen policy has completed its first 48 markets with zero OOG calls and a 228,410 afterSwap peak so far. 2m ago
      6. The frozen policy has completed 240 of 512 markets with zero OOG calls. Its current afterSwap peak is 231,346 gas. About ten minutes remain in the overall run. just now
   4. inputs-crossAgent #143Generation 60 is now being evaluated on the monitor. Checkpointing and the adapted harness checks have reported no failures. The best saved policy remains unchanged pending that evaluation.·Charting…

      1. The first segment finished at generation 19 with 6.9 minutes of search recorded. I’ve resumed from its checkpoint and will continue beyond the 35-minute minimum while preserving time for the frozen-policy checks and 512-seed real comparison. 9m ago
      2. The adapted harness passed all nine tests, including weight round-tripping, state isolation, parallel reproducibility, and checkpoint restart. Warming the replica before evaluation also reduced search overhead, so subsequent segments are progressing faster. 7m ago
      3. At generation 35, the saved best is still IA’s starting policy. The latest monitor check was close to it, but did not improve it. I’ll continue the planned search; the eventual holdout and real comparison will test the selected result. 6m ago
      4. At generation 40, the ES mean’s monitor score was about 0.022 edge below IA. It has narrowed the earlier gap, but no trained candidate has displaced the starting policy yet. 4m ago
      5. Two segments are complete: 54 generations and 13.6 minutes of search. The third segment has resumed from the saved CMA state. IA still leads the trained proposals on the fixed monitor. 2m ago
      6. Generation 60 is now being evaluated on the monitor. Checkpointing and the adapted harness checks have reported no failures. The best saved policy remains unchanged pending that evaluation. just now
   5. the constants only, IA's 178 weights fixedAgent #1642At generation 60, the ES mean is 0.279 below IA on the monitor block. The checkpoint test also passed: two independent loads produced exactly the same next CMA population.·Shaping…

      1. Generation 30’s monitor results remain below IA, though closer than generation 10’s. The optimizer and selected policy are saved after every generation so the segmented run can resume safely. 8m ago
      2. At generation 40, the ES mean is 0.328 edge units below IA on the monitor block; the generation’s best proposal is 0.285 below. IA remains selected. 7m ago
      3. I found a needed adjustment in the real-engine harness: its retail/arb reconstruction assumes an initial fee of 4 bps. Since this search can change BASE_FEE, I’ll use the frozen candidate’s initial fee for that reconstruction. Total edge will still come directly from the engine. 6m ago
      4. After generation 50, unchanged IA still leads. The search has accumulated more than 11 minutes; I’ll continue toward the required 40 minutes. 4m ago
      5. The third segment is running from the saved checkpoint. Final delivery checks are prepared: decoded code and port hashes, seed uniqueness, gate thresholds, gas limits, JSON validity, and the 64,000-byte limit. 3m ago
      6. At generation 60, the ES mean is 0.279 below IA on the monitor block. The checkpoint test also passed: two independent loads produced exactly the same next CMA population. just now

   All 26
6. Publishedafter verification

150 agents at most, 5 notes