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","code_sha256":"dd53db1fbe42628e040c6c7b7a82689867ab601263c5e740506299a3a186b38c","params":{"W1":[[1.15129,-0.996585,-1.360612,2.864062,-2.166269,1.89742,-0.696507,2.175748,-3.58687,-2.449428,-0.696308,-0.558013,0.414019,-1.949829,-1.111019,0.52261,0.039733,-0.631826,0.495709],[0.86271,0.254613,1.646103,3.037976,1.718562,0.780098,-0.197718,-0.184908,-0.437817,0.190946,-0.202232,-1.333669,0.413344,-0.244053,-0.058662,1.013436,-0.128968,0.139462,0.195157],[1.729115,2.575792,-0.147932,1.629057,1.061114,4.271396,-1.566701,1.396977,1.6111,-1.150991,0.180765,-1.441042,-0.441326,0.394615,0.291057,1.177919,-1.248081,0.126277,-1.173105],[-0.664494,-0.965412,1.563603,-0.425824,-1.598845,1.349881,0.036501,0.697289,-0.445311,0.369449,0.32802,-0.940209,-2.098654,0.833946,-0.08927,0.548337,3.384914,0.014411,-0.487982],[1.022564,0.779154,4.569973,0.12783,-2.062091,-2.137189,-0.453636,-0.91211,-0.260035,0.136344,0.045042,-1.584326,0.291057,-1.076427,-0.006439,-0.275677,2.576729,-0.043329,-0.250119],[1.274221,-2.125229,0.477101,-0.440908,2.15979,0.969918,2.157772,1.49217,-0.795849,0.290526,0.042831,3.728527,0.655144,-0.751888,0.053949,1.711916,-0.967529,-0.845371,0.51631],[-2.154359,0.323503,0.502496,-1.692203,2.351653,1.316477,-0.470729,1.546865,1.607024,-0.69916,0.730603,1.579664,0.852441,0.6062,-0.560468,-0.257002,1.122865,-0.208801,1.201277],[-3.431737,-1.947345,4.449738,3.631164,-1.291438,-1.559901,-1.265114,0.949285,2.503463,-0.876593,2.612494,-1.483027,0.781478,-0.841417,0.463619,0.746681,0.865164,-1.373002,1.526777]],"b1":[0.497572,-0.831682,-2.767245,-0.125743,-1.222987,-1.550949,-0.777339,-0.161961],"W2":[[0.037931,-2.360691,0.520992,-0.817009,-3.147262,-0.447985,0.471992,0.567987],[0.587518,-2.30336,-1.969661,2.252433,0.778349,-1.707478,0.144538,0.56426]],"b2":[0.8623,1.118605],"constants":{"ELAPSED_CAP":7.0,"SIGNAL_THRESHOLD":0.001168085308968538,"DIR_DECAY":0.6708732125720838,"ACT_DECAY":0.49682908632969613,"SIZE_DECAY":0.4728256252769685,"TOX_DECAY":0.935365149604538,"SIGMA_DECAY":0.6696245950727084,"LAMBDA_DECAY":0.987870739046352,"SIZE_BLEND_DECAY":0.8483380461513357,"TOX_BLEND_DECAY":0.24478681527482282,"ACT_BLEND_DECAY":0.9846490771136527,"PHAT_ALPHA":0.247625310137791,"PHAT_ALPHA_RETAIL":0.0507874078770196,"PHAT_ALPHA_SAME":0.14851350675375644,"DIR_IMPACT_MULT":5.0,"GATE_SIGMA_MULT":5.424109880048015,"MIN_GATE":0.02752861145289368,"TRADE_TOX_BOOST":0.29535921748716293,"STALE_ATTRACT_FRAC":0.7339436627363265,"RET_CAP":0.02077647001542073,"TOX_CAP":0.18285021586819034,"TRADE_RATIO_CAP":0.2114237530741308,"LAMBDA_CAP":1.3277634863952608,"STEP_COUNT_CAP":56.0,"BASE_FEE":0.00051082991832555,"SIGMA_COEF":0.19158029221698078,"LAMBDA_COEF":0.001362871137046423,"FLOW_SIZE_COEF":0.47371206396001814,"TOX_COEF":0.02450003373115383,"TOX_QUAD_COEF":1.322845864299775,"ACT_COEF":8.240528322972024,"DIR_COEF":0.0031783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clipped [0,4]","output_unit":"bps","fee_clip":[0,0.1]}},"seeds":{"speed":[1307999488,1307999999],"callback_sequences":[737000,737049],"gate_B":[7672000,7672511],"holdout":[40000000,40008191],"real":[8444000,8445023],"training_used":[],"monitor_used":[]},"notes":["All reported measurements are local computations in this run, not copied performance claims. Sources identify the supplied artifacts and pinned simulator.","Setup completed once at commit 6b6921f8d463314aa7c96234e1be25a25245f704. Required wheel SHA256 aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a verified; StarterStrategy validation passed.","All four downloaded artifact bodies and all task-specified decoded source hashes verified. Supplied IA port and replica reused; J5 substitutions only, no strategy or market reimplementation.","Speed measured after full-market JIT warmup, 8 workers, 512 full 10000-step markets, before search or real testing. No search or monitor run was performed under the mandatory speed fallback.","Gate B compares J5 minus IA on prescribed seeds to the supplied +0.876 reference, not a new real-engine calibration measurement.","Holdout over_base is identically zero because the frozen strategy is the supplied J5. It was not used to select a candidate.","Callbacks use 50 fresh deployments, 2000 trades each, lognormal(-2,1.5) amount capped at 0.002 of reserve X, random buy/sell and timestamp increments [0,0,0,1,1,2,8,13]. Gate C shares Gate A observations because code and port are unchanged.","An additional earlier stress test with the amount cap at 0.15 of reserve X reverted with Solidity panic 0x12 (division by zero) in sequence 737005, after five completed sequences. This is a limitation of unchanged J5 on extreme synthetic paths; it is not hidden or repaired. No such callback failures occurred in the real seed evaluation.","Gate output serialization initially rejected numpy.bool_; all 50 logged sequence maxima were recovered and checked, and the serializer was corrected without repeating callbacks.","Real calls used amm_sim_rs.run_batch(candidate, VanillaStrategy, configs, 8), in chunks of 32 or 64. No seed was repeated within an arm. No candidate tuning followed any real result.","Configs reproduce MatchRunner draw order and default ranges using numpy.default_rng(seed): size [19,21], rate [.6,1], sigma [.000882,.001008]; all other defaults unchanged.","Paired SE is sample standard deviation (ddof=1) divided by sqrt(n). worst5 contains the five most negative paired edge differences and their seeds. sumsq is the sum of squared paired differences.","Gas counters are collected with amm_sim_rs.gas_stats(), reset for each chunk, sums aggregated and maxima taken across chunks; both submission and baseline roles retained.","The required engine wheel exposes total edge, retail_volume_y and arb_volume_y but no retail/arb edge decomposition. Edge component deltas are null; volume deltas are measured.","Validity means the prescribed comparison and gas gates passed on tested paths, not a claim of top-10 performance or universal safety."],"provenance":[{"url":"https://api.imd.fun/artifacts/fe2320b5c091489337b3eb06bcbaea19bf4a8af09d959d67504ba63184f1dab6","quote":"\"code_sha256\":\"dd53db1fbe42628e040c6c7b7a82689867ab601263c5e740506299a3a186b38c\""},{"url":"https://api.imd.fun/artifacts/df0ddfdf122c88641513dd179980fce475f42a912a184f812d213f27db7c14df","quote":"\"port_sha256\":\"b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b\""},{"url":"https://api.imd.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557","quote":"\"code_sha256\":\"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686\""},{"url":"https://api.imd.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea","quote":"\"replica_source_sha256\": \"1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c\""},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py","quote":"rng = np.random.default_rng(seed=i)"},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py","quote":"retail_mean_size_min=19.0,\n    retail_mean_size_max=21.0,"},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/types/result.rs","quote":"pub retail_volume_y: HashMap<String, f64>,"}]}