{
  "notes": "EPISODE 5 (2026-11-10). Read all19 results/state/schema and pinned README; fetched26 files, zero SHA mismatches. No requester notes/refusals. Launch12 research items (6A/6B): used76->88/240,152 items/15 episodes left. Six two-item batches avoid canaries. No leaderboard entry. finish=false: first place and a qualified4000-seed contract remain unproved.\n\nENGINE AUDIT CHANGES THE EP4 PLAN. All eight new results' row counts, seed bounds, arm sums and paired sums/sumsq check within their 6-decimal row rounding. Acceptance is not behavioral validation. Do NOT blindly pool all accepted blocks:\n* a4-eng3-a/eng3-12003328 (artifact 72016d95826056985a84530753c9f731ccacf9de4084d6f5be0a8770fde7db68): n256, IB mean 182.691 vs ordinary ~530, Q2-IB +2.106 and PB-Q2 +1.960 vs ordinary +0.301. Quarantine the entire range 12003328..12003583 pending configuration/metric evidence. Exact cause unknown; do not call this a port breakthrough.\n* a4-eng3-a/eng3-12003072 (271766b8de54f0d5390f1612b11b8f0bfda3a978e4d8bf334e37e9e56b1b312f): scores plausible, but Q2/PB gas copied from validation (155745/167214), explicitly not these engine calls. Exclude from fully qualified totals; cannot repair old gas from a new run.\n* a4-eng3-b/eng3-12004864 (987b6d7a8e8c1b8dd0e687635df384ae98c59aa7c346a69eb35c47c1b8390c62): plausible scores/gas, source-built engine with different Cargo.lock, no wheel edge parity. Keep separate provenance cohort; matching Vanilla gas does not prove edge parity.\n* a4-eng3-a/eng3-12003840 returned IB 32 seeds, Q2/PB only 8 (12003840..847); count ONLY 8 pairs. Retire the rest of its reservation, never fill or rerun.\n\nCONSERVATIVE QUALIFIED COHORT: new ranges12003584..3839,12003840..3847,12004096..4863, n1032. Q2-IB sum3201.920648424977 sumsq12019.048667702511 mean3.1026363 se.0442637; PB-IB sum3512.5071280609563 sumsq13967.569184392274 mean3.4035922 se.0434902; PB-Q2 sum310.58647963597923 sumsq330.84560162416574 mean.3009559 se.0149364. Add ep3 Q2 n2048/sum6234.996342/sumsq23411.221253: Q2 cumulative n3080 sum9436.916990424977 sumsq35430.269920702514 mean3.0639341 se.0262130. Need >=920 MORE qualified pairs. Q2 remains standing source; PB promising on1032. Core peaks Q2 205010,PB215345; zero OOG/reverts,validate pass. PB agrees with replica. Even pooling all yields n3848, not4096. Adding borrowed-gas scores gives Q2 n3336 mean3.06739; adding source-build too gives n3592 mean3.05810, neither qualified.\n\nSOURCE IDENTITIES: URLs are https://api.imdnotdead.fun/artifacts/<result SHA>. IB afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557; Q2 f6f4c4cccbd3fd9b0d7a4c4c329011ba1c765a10cc192b1402434033bdd10402 (unwrap qm-2; code tar SHA988ef957e0f6633583384005936a94cee2816b8202feadbc2a633ee318e50c1c); PB 2ade1a24f75836479efeeaff574e452ff3ef5c23fd856c50bd2c1a4a10d78463 (pb-1/Strategy.sol).\n\nMIXTURE PORT: both complete. Spare mix-1 result9c6947ad5bdaff7b7253cda8508d70d2273bd115210b6e89fb6564dee54b2f6e merges after1 silent cut; cost+.38458,peak178071. Select mix-2 result199bcc1dff84094f0e56d82874be99989e082bdd398df1d241c5ec488e898a3e: merge_after2,quote0,floor1e-5,runtime21984,slots12; cost+.38787257 se.01838 vs gauss on60000..61023; parity .5/.9 <=1.45e-8bps on20 runs each. Parity peak146477,forced147222,stress159900; zero faults. code_sha256 hashes BASE64 TEXT; payload base64/zlib/tar, mix-2/. Replace sole THR = 500000000000000000 with THR = 900000000000000000: M09 source SHA a44cca4b0155ca3953f27ccb6b43ac8ee74b1cdc4f27022ee5fc51d8ab67ed5f. Qualifier/pilot use this exact source independently; recheck THR09 validate/cost/generator. Never pool K1/K2.\n\nB FINDINGS. thr-mix2 (a2126d727c65d198a755a2b2f7fc1cc1dff272813fe716a46c71702734e37105): cut .9 wins +.3275223 se.01043 over unbounded mix05; +.7553763 vs gauss_qm and +.2604758 vs lattice_qm on2048. Misread .16378->.29089, RMSprice13.747->13.367bps. Thus the free constant change MUST transfer to A; replica prediction for bounded/compressed M09 is about +3.8..3.9 over IB, still far below +6.4. That artifact's code_zb64 is actually base64 of RAW TAR, without zlib; inspected successfully. Do not decode it blindly. thr-blend +.06025 only, drop. cutfn +.00022 se.00331 vs constant .9, drop; its normalized cost weights are not measured currency costs. qm2h endpoint consistency FAILED (16.05bps); +.242 vs gauss, -.253 vs lattice, 260MB action arrays: do not port or treat as validated. fresh4 temperature -.02046 se.00748 vs thr09; skew shift -.00542 se.0056: drop. Late fresh-1 branch-blend +.1336 vs lattice is superseded. Late compress-fit: 7007 bytes loses .1306 vs gauss, 11434 loses .0653; reserve only, current mixture fits so no new compression sweep. Its three holdout-tested candidates are not three independent confirmations.\n\nKEY DIAGNOSTIC split-1 (be8021bab12b3f38262bbb517c1058cd5777b690fab49c7852c5ef9c8fc3f8a3), 512 tuning seeds: true flag in belief alone +2.3425; phase alone +.2193; rival alone -.7898; all +2.7152. At cut.9 blind +.3151, true phase +.4361, true belief +2.462. Thus only ~.3-.45 is available from phase/rival changes alone; remaining ~2.3 is PRICE INFORMATION. Oracle is diagnostic, never executable evidence. New B items target this, not more threshold/temperature/skew sweeps. Lattice EVM remains closed (403k+); Python mixture/numba are the route to the contract. Existing lattice+thr09 helper artifact 22819a1542e36a609ec3d02a160b4b7aaf345d26d7184ef6517abc35b85cfbfc has thrpol.py/fast_thr.py; URL bytes verified.\n\nDECISIONS: a5-engine-audit two canonical config/gas pilots (IB,Q2,PB); a5-mix09-qualify two gate/cost copies; a5-mix09-pilot two provisional IB,PB,M09 pilots. B: b5-probe two information-quote implementations; b5-conditioning same-step retail and silent-step no-fill likelihoods, separately; b5-fresh two new ideas. Tune62000..62127,confirm62128..62255,freeze before holdout10000..12047. Gains>=.3 over current base feed A; inherited threshold gain is not new. Outputs<60000,briefs<2900 ASCII,numeric evidence/code,no host inspection.\n\nLEDGER: all engine seeds12000000..12005119 used or RETIRED, including invalid and missing portions; never reuse. Audit1=12005120..183, audit2=12005184..247; M09pilot1=12005248..311, pilot2=12005312..375. Next unreserved12005376. Each arm within a paired item uses the same assigned configs once. Under8min commands,64 seeds, no speed gates; slow seats return actual partial pairs and useful Python work. Setup failure records blocked{step,error}; no invented data. Canonical config is competition/config.py build_config with BASELINE_SETTINGS, BASELINE_VARIANCE and default_rng(absolute seed), draws mean-size/rate/sigma in that order. Testing builder equality at indices0..7 consumes no engine seeds. Scores are edges[submission], live gas_stats reset per command; use pinned wheel provenance, no source-build substitution without separate equivalence evidence.\n\nNEXT: read all12 new items plus b4-thr/thr-gauss. Cancel b1-ideas: its only remaining twohyp item has produced no result for four episodes and the bounded b5-probe replaces it. a1-compress already cancelled; no repeat cancellation. Keep b4-thr running, do not wait on it. Wake on six new batches or60min, no local timed wait. If audit/config/hash checks agree and M09 qualifier plus engine peak<=245000 pass, broaden fresh engine pairing in episode6. First close Q2's >=4000 actual qualified pairs (four256-seed items suffice even without pilots), then give the frozen winner its own4000-pair confirmation, with IB and best prior port as controls. Do not pool prototypes, bad provenance or estimated gas. If replica/engine gap differs by>.2, diagnose before widening. First place still needs ~2.5 more edge; keep B alive. Unresolved artifacts stay quarantined absent new direct evidence; a new good run cannot certify old missing measurements.",
  "spawn": [
    {
      "name": "a5-engine-audit",
      "mode": "research",
      "brief": "Track A: audit the engine measurement pipeline, independent copy {{copy}}, with one fresh 64-seed diagnostic block {{from}}..{{to}}. Engine: clone https://github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704. From checkout: mkdir -p scratch && curl -LsSf https://raw.githubusercontent.com/gtmcknight/amm-sim/main/research/setup.sh -o scratch/setup.sh && sh scratch/setup.sh; prefix later commands with `. scratch/env.sh && `. Artifacts at https://api.imdnotdead.fun/artifacts/<id>: IB=afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557; Q2=f6f4c4cccbd3fd9b0d7a4c4c329011ba1c765a10cc192b1402434033bdd10402 (unwrap qm-2); PB=2ade1a24f75836479efeeaff574e452ff3ef5c23fd856c50bd2c1a4a10d78463. Decode code_zb64 (base64/zlib/tar; IB is Solidity text). Suspect result: https://api.imdnotdead.fun/artifacts/72016d95826056985a84530753c9f731ccacf9de4084d6f5be0a8770fde7db68. Episode 4 concerns: eng3-12003328 reports IB mean 182.69 and PB-Q2 +1.960 versus ordinary IB about 530 and PB-Q2 +0.301; eng3-12003072 reused validation gas; eng3-12004864 used a source-built engine with another lockfile. Do not certify these from their accepted status or guess the cause. Use competition/config.py build_config and BASELINE_VARIANCE, all BASELINE_SETTINGS unchanged. For absolute seed s use default_rng(s), draw mean size, arrival rate, sigma in _build_configs order and set seed=s. Check every field against _build_configs for indices 0..7 without running those seeds. Compare explicit configs with Rust defaults and check edge uses edges[submission]. Validate unchanged contracts. Run IB,Q2,PB each alone vs VanillaStrategy via amm_sim_rs.run_batch(X,VanillaStrategy,configs,8), same configs, only your assigned seeds, each arm once. Reset/capture Submission gas_stats per command. Never substitute validation gas. No command >480s; save progress in scratch; report partial pairs without filling/reusing seeds. On setup failure return blocked={step,error}; on slow/setup-failed seats finish a Python config/source audit instead of blocking on speed. Return key, config_checks, explicit first/last config and config SHA256, source/bytecode/wheel hashes, compiler settings, rows [seed,ib,q2,pb], n per arm, all three paired{n,mean_diff,se,sum,sumsq,worst5}, measured gas_stats including callback counts/gas sums, validate, valid (false on OOG/revert/peak>245000), diagnosis distinguishing proved from unknown, and a reusable canonical runner. No old engine seed may be rerun. One JSON <60000 bytes; numeric evidence, not raw command output. Bundle source/reproduction scripts only as code_zb64=base64(zlib(tar)), code_sha256=SHA256 of uncompressed tar; no tables/traces. ",
      "items": [
        {
          "key": "audit-1",
          "vars": {
            "key": "audit-1",
            "copy": "1",
            "from": "12005120",
            "to": "12005183"
          }
        },
        {
          "key": "audit-2",
          "vars": {
            "key": "audit-2",
            "copy": "2",
            "from": "12005184",
            "to": "12005247"
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 60000
      },
      "merge": {
        "groupSize": 5,
        "brief": "Keep each item separate with its source hashes, completed seed ranges, paired sums/sumsq and failures. Distinguish measured evidence from estimates; never average standard errors or combine different policies/configs."
      }
    },
    {
      "name": "a5-mix09-qualify",
      "mode": "research",
      "brief": "Track A: freeze and qualify M09, independent copy {{copy}}. Solved: B=https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved; curl -LsSf $B/fetch.sh -o fetch.sh && sh fetch.sh $B scratch/solved. Engine: clone https://github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704. From checkout: mkdir -p scratch && curl -LsSf https://raw.githubusercontent.com/gtmcknight/amm-sim/main/research/setup.sh -o scratch/setup.sh && sh scratch/setup.sh; prefix later commands with `. scratch/env.sh && `. Fetch https://api.imdnotdead.fun/artifacts/199bcc1dff84094f0e56d82874be99989e082bdd398df1d241c5ec488e898a3e. code_sha256 hashes ASCII code_zb64; decode base64/zlib/tar to mix-2/. In Strategy.sol replace the sole `THR = 500000000000000000` with `THR = 900000000000000000`, no other source change. Source SHA256 must be a44cca4b0155ca3953f27ccb6b43ac8ee74b1cdc4f27022ee5fc51d8ab67ed5f. Keep merge_after=2, quote=0, floor=1e-5 and all Q2 tables. Adapt gen.py to regenerate exactly this source. Its bounded Python mix.py must use thr=0.9; do not use the unbounded mixture as parity target. Reproduce gates.py, then fee parity on every callback of replica seeds 10000..10019. Expand tables from the shipped spec/expand.py. Compare the frozen Python twin to fresh gauss soft=1 original qm on 60000..61023 with run.py and pair.py; also measure thr09 minus bounded thr05 there. No tuning or holdout performance run. Require max fee difference <=0.01 bps, pyrevm afterSwap peak <=195000 including intrinsic (engine headroom), initialize <=250000, 0 OOG/revert, runtime <=24576, <=32 slots, no assembly, amm-match validate of the delivered THR09 source. Run the reachable two-component long-gap forced case and stress; report separately. All commands <480s, segment/save in scratch. No engine seed consumed. If setup fails return blocked={step,error}; a slow or unavailable engine still permits the Python cost/parity-fixture work. Return key, complete, blocked, source_sha256, generator_match, paired_vs_gauss and paired_vs_thr05 {n,mean_diff,se,sum,sumsq,worst5}, parity{runs,callbacks,max_fee_diff_bps}, gas{scope,peak,mean,calls,oog,reverts}, forced/stress results, validate, bytes_runtime, slots. Expected vs gauss about +0.7, flag a gain below +0.55 for diagnosis, never force it. One JSON <60000 bytes; numeric evidence, not raw command output. Bundle source/reproduction scripts only as code_zb64=base64(zlib(tar)), code_sha256=SHA256 of uncompressed tar; no tables/traces. ",
      "items": [
        {
          "key": "m09-1",
          "vars": {
            "key": "m09-1",
            "copy": "1"
          }
        },
        {
          "key": "m09-2",
          "vars": {
            "key": "m09-2",
            "copy": "2"
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 60000
      },
      "merge": {
        "groupSize": 5,
        "brief": "Keep each item separate with its source hashes, completed seed ranges, paired sums/sumsq and failures. Distinguish measured evidence from estimates; never average standard errors or combine different policies/configs."
      }
    },
    {
      "name": "a5-mix09-pilot",
      "mode": "research",
      "brief": "Track A: one provisional M09 engine pilot on fresh seeds {{from}}..{{to}}, 64 seeds exclusive to this item. Engine: clone https://github.com/benedictbrady/amm-challenge at 6b6921f8d463314aa7c96234e1be25a25245f704. From checkout: mkdir -p scratch && curl -LsSf https://raw.githubusercontent.com/gtmcknight/amm-sim/main/research/setup.sh -o scratch/setup.sh && sh scratch/setup.sh; prefix later commands with `. scratch/env.sh && `. Artifacts at https://api.imdnotdead.fun/artifacts/<id>: IB=afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557; PB=2ade1a24f75836479efeeaff574e452ff3ef5c23fd856c50bd2c1a4a10d78463; mixture=199bcc1dff84094f0e56d82874be99989e082bdd398df1d241c5ec488e898a3e. Decode code_zb64 (IB Solidity text; others base64/zlib/tar). In mix-2/Strategy.sol change only THR from 500000000000000000 to 900000000000000000; resulting source SHA256=a44cca4b0155ca3953f27ccb6b43ac8ee74b1cdc4f27022ee5fc51d8ab67ed5f. PB unchanged. Use competition/config.py build_config and BASELINE_VARIANCE, all BASELINE_SETTINGS unchanged. For absolute seed s use default_rng(s), draw mean size, arrival rate, sigma in _build_configs order and set seed=s. Check every field against _build_configs for indices 0..7 without running those seeds. Before consuming seeds verify source hash, compile with the pinned compiler and amm-match validate all three. The mixture had replica parity at both thresholds; this pilot checks engine behavior, and promotion also waits for independent M09 qualification. Run IB,PB,M09 each alone against VanillaStrategy with amm_sim_rs.run_batch(X,VanillaStrategy,configs,8), one 64-seed command per arm. Same exact configs for all arms; edges[submission] only. Measure/reset gas_stats on the actual Submission calls each command, not validation or an earlier result. Commands <480s; save scratch state. Never use other seeds, rerun an arm/seed, or fill missing values. If the seat cannot finish, return partial paired n; do Python source/config equivalence work with remaining time. Setup failure: blocked={step,error}; no platform inspection or speed gate. Return key, source/bytecode/wheel hashes, config_checks, first/last complete configs and config SHA256, arm{n,sum,sumsq,rows}, m09_minus_ib,m09_minus_pb,pb_minus_ib each paired{n,mean_diff,se,sum,sumsq,worst5}, gas_stats for each arm including call counts and gas sums, validate, valid=false on any OOG/revert/afterSwap peak>245000. Report callback faults even if edge looks good. This is a pilot, not a 4000-seed claim. One JSON <60000 bytes; numeric evidence, not raw command output. Bundle source/reproduction scripts only as code_zb64=base64(zlib(tar)), code_sha256=SHA256 of uncompressed tar; no tables/traces. ",
      "items": [
        {
          "key": "pilot-12005248",
          "vars": {
            "key": "pilot-12005248",
            "from": "12005248",
            "to": "12005311"
          }
        },
        {
          "key": "pilot-12005312",
          "vars": {
            "key": "pilot-12005312",
            "from": "12005312",
            "to": "12005375"
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 60000
      },
      "merge": {
        "groupSize": 5,
        "brief": "Keep each item separate with its source hashes, completed seed ranges, paired sums/sumsq and failures. Distinguish measured evidence from estimates; never average standard errors or combine different policies/configs."
      }
    },
    {
      "name": "b5-probe",
      "mode": "research",
      "brief": "Track B: one information-seeking quote policy, independent copy {{copy}}. Solved: B=https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved; curl -LsSf $B/fetch.sh -o fetch.sh && sh fetch.sh $B scratch/solved. Read Harness/Rules/Fleet; scripts run as python3 -I in that folder. Base lattice+thr09: https://api.imdnotdead.fun/artifacts/22819a1542e36a609ec3d02a160b4b7aaf345d26d7184ef6517abc35b85cfbfc, code_zb64 base64/zlib/tar contains thrpol.py and fast_thr.py. One blind Python policy: only afterSwap inputs; hidden training labels allowed offline, never policy state or scoring inputs. Tune only 62000..62127, confirm 62128..62255, freeze once, then run.py/pair.py once on 10000..12047 against ref/lattice_qm.json and the unchanged thr09 base. Check zero-change equivalence on tuning seeds first. Chunk all commands below 480s, save scratch progress. Fast helpers need callback/fee parity before scoring; stdlib Python remains usable, no speed gate. Budget under an hour; report actual partial n if necessary, never impute. The true flag in the belief alone buys +2.34 of +2.72 on 512 tuning runs; correcting phase/rival with blind belief cannot deliver that. Build a small one-step lookahead: after an ambiguous first trade, use its arb and retail price hypotheses to choose a side-specific quote perturbation that makes the NEXT observable callback distinguish them. Optimize expected edge plus expected posterior entropy reduction, using afterSwap-observable outcomes including elapsed time; use training-only simulator rollouts/quadrature offline and a cheap frozen rule online. This differs from globally tightening quotes or increasing kappa, both failed. Use at most four candidate settings; do not combine a new classifier, threshold or blend. Bound computation and test absence of probing exactly matches base. Ignore the old stalled twohyp worker; work independently. Return key, exact idea/settings, tuning and confirmation, holdout_vs_base and holdout_vs_lattice_qm each paired{n,mean_diff,se,sum,sumsq,worst5}, first-trade misread rate and callback RMS log-price error bps for both arms, blindness/equivalence checks, gas estimate with operations/slots and measured=false unless measured. One JSON <60000 bytes; numeric evidence, not raw command output. Bundle source/reproduction scripts only as code_zb64=base64(zlib(tar)), code_sha256=SHA256 of uncompressed tar; no tables/traces. ",
      "items": [
        {
          "key": "probe-1",
          "vars": {
            "key": "probe-1",
            "copy": "1"
          }
        },
        {
          "key": "probe-2",
          "vars": {
            "key": "probe-2",
            "copy": "2"
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 60000
      },
      "merge": {
        "groupSize": 5,
        "brief": "Keep each item separate with its source hashes, completed seed ranges, paired sums/sumsq and failures. Distinguish measured evidence from estimates; never average standard errors or combine different policies/configs."
      }
    },
    {
      "name": "b5-conditioning",
      "mode": "research",
      "brief": "Track B: test only {{idea}}. Solved: B=https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved; curl -LsSf $B/fetch.sh -o fetch.sh && sh fetch.sh $B scratch/solved. Read Harness/Rules/Fleet; scripts run as python3 -I in that folder. Base lattice+thr09: https://api.imdnotdead.fun/artifacts/22819a1542e36a609ec3d02a160b4b7aaf345d26d7184ef6517abc35b85cfbfc, code_zb64 base64/zlib/tar contains thrpol.py and fast_thr.py. One blind Python policy: only afterSwap inputs; hidden training labels allowed offline, never policy state or scoring inputs. Tune only 62000..62127, confirm 62128..62255, freeze once, then run.py/pair.py once on 10000..12047 against ref/lattice_qm.json and the unchanged thr09 base. Check zero-change equivalence on tuning seeds first. Chunk all commands below 480s, save scratch progress. Fast helpers need callback/fee parity before scoring; stdlib Python remains usable, no speed gate. Budget under an hour; report actual partial n if necessary, never impute. {{method}} Keep thr=0.9 and the table policy fixed; only change the specified likelihood conditioning. Normalize the event likelihood, check a no-update setting equals base, and validate likelihood direction on training data before tuning strength. Earlier scalar router reweighting lost badly; do not reuse it without deriving the observation event correctly. At most four settings. Return key, exact idea/settings, tuning and confirmation, holdout_vs_base and holdout_vs_lattice_qm each paired{n,mean_diff,se,sum,sumsq,worst5}, first-trade misread rate and callback RMS log-price error bps for both arms, blindness/equivalence checks, gas estimate with operations/slots and measured=false unless measured. One JSON <60000 bytes; numeric evidence, not raw command output. Bundle source/reproduction scripts only as code_zb64=base64(zlib(tar)), code_sha256=SHA256 of uncompressed tar; no tables/traces. ",
      "items": [
        {
          "key": "same-step",
          "vars": {
            "key": "same-step",
            "idea": "conditioning price on a known-retail same-step fill",
            "method": "At dt=0 the callback is retail. Derive its executed amount likelihood conditional on each price/rival hypothesis and the quotes in force, marginalizing the unobserved rival share and order size. Update the CURRENT price posterior from this evidence; do not revise past decisions or only relabel phase/rival. Earlier hindsight work changed rival/phase but scarcely improved forward price. No future callback may influence the current quote."
          }
        },
        {
          "key": "silent-step",
          "vars": {
            "key": "silent-step",
            "idea": "conditioning silent steps on no own retail fill",
            "method": "The reference silent-step update conditions on no own arb. Add only the likelihood of observing no own retail fill during each completed silent step, integrating the router allocation, latent rival state and retail arrivals conditional on price. The dt-1 elapsed steps are observed at the next callback, so apply evidence only then. Preserve ordinary first-trade likelihoods; this is not per-run order-rate estimation."
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 60000
      },
      "merge": {
        "groupSize": 5,
        "brief": "Keep each item separate with its source hashes, completed seed ranges, paired sums/sumsq and failures. Distinguish measured evidence from estimates; never average standard errors or combine different policies/configs."
      }
    },
    {
      "name": "b5-fresh",
      "mode": "research",
      "brief": "Track B: one fresh independent idea, copy {{copy}}. Start from the question: how can afterSwap inputs buy better price information or reduce its economic cost? Solved: B=https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved; curl -LsSf $B/fetch.sh -o fetch.sh && sh fetch.sh $B scratch/solved. Read Harness/Rules/Fleet; scripts run as python3 -I in that folder. Base lattice+thr09: https://api.imdnotdead.fun/artifacts/22819a1542e36a609ec3d02a160b4b7aaf345d26d7184ef6517abc35b85cfbfc, code_zb64 base64/zlib/tar contains thrpol.py and fast_thr.py. One blind Python policy: only afterSwap inputs; hidden training labels allowed offline, never policy state or scoring inputs. Tune only 62000..62127, confirm 62128..62255, freeze once, then run.py/pair.py once on 10000..12047 against ref/lattice_qm.json and the unchanged thr09 base. Check zero-change equivalence on tuning seeds first. Chunk all commands below 480s, save scratch progress. Fast helpers need callback/fee parity before scoring; stdlib Python remains usable, no speed gate. Budget under an hour; report actual partial n if necessary, never impute. Skip the README idea/Open lists. The true flag in the belief alone is worth +2.34; no true flag is available online. Choose exactly one mechanism. Already exhausted: scalar pi thresholds (0.9 won), feature-dependent cuts, likelihood temperature, third-moment quote shifts, finer lattice, per-run sigma/rate, quote blends, generic feature classifiers, scalar router likelihoods and globally tighter quotes. Do not repeat those. Other new workers cover one-step entropy probes, same-step fill likelihood and silent-step no-fill likelihood; choose something else independently. Explain the causal mechanism and its distinctness before scoring. Limit tuning to four settings; freeze the best even if negative and report honestly. Return key, exact idea/settings, tuning and confirmation, holdout_vs_base and holdout_vs_lattice_qm each paired{n,mean_diff,se,sum,sumsq,worst5}, first-trade misread rate and callback RMS log-price error bps for both arms, blindness/equivalence checks, gas estimate with operations/slots and measured=false unless measured. One JSON <60000 bytes; numeric evidence, not raw command output. Bundle source/reproduction scripts only as code_zb64=base64(zlib(tar)), code_sha256=SHA256 of uncompressed tar; no tables/traces. ",
      "items": [
        {
          "key": "fresh5-1",
          "vars": {
            "key": "fresh5-1",
            "copy": "1"
          }
        },
        {
          "key": "fresh5-2",
          "vars": {
            "key": "fresh5-2",
            "copy": "2"
          }
        }
      ],
      "output": {
        "format": "json",
        "maxBytes": 60000
      },
      "merge": {
        "groupSize": 5,
        "brief": "Keep each item separate with its source hashes, completed seed ranges, paired sums/sumsq and failures. Distinguish measured evidence from estimates; never average standard errors or combine different policies/configs."
      }
    }
  ],
  "read": [
    "a5-engine-audit/audit-1",
    "a5-engine-audit/audit-2",
    "a5-mix09-qualify/m09-1",
    "a5-mix09-qualify/m09-2",
    "a5-mix09-pilot/pilot-12005248",
    "a5-mix09-pilot/pilot-12005312",
    "b5-probe/probe-1",
    "b5-probe/probe-2",
    "b5-conditioning/same-step",
    "b5-conditioning/silent-step",
    "b5-fresh/fresh5-1",
    "b5-fresh/fresh5-2",
    "b4-thr/thr-gauss"
  ],
  "cancel": [
    "b1-ideas"
  ],
  "wake": {
    "batches": [
      "a5-engine-audit",
      "a5-mix09-qualify",
      "a5-mix09-pilot",
      "b5-probe",
      "b5-conditioning",
      "b5-fresh"
    ],
    "afterMinutes": 60
  },
  "finish": false
}