{"blocked": null, "gates": {"A": {"passed": true, "sequences": 50, "swap_callbacks": 100000, "seeds": [310000, 310049], "max_fee_diff_bps": 0.00015195374049314925, "fees_above_threshold": 0, "threshold_bps": 0.01, "what": "IA port with J5's 41 constants + anchor literals read from W (as J5's notes say) and J5 params, vs J5 Solidity (sha256 dd53db1f) EVM fees"}, "B": {"n": 512, "mean_diff": 0.8655072079761197, "se": 0.033774160243544064, "target": 0.876, "passed": true, "seeds": [7672000, 7672511], "what": "replica J5 minus IA (IA port, IA constants) on seeds 7672000..7672511 vs real +0.876"}, "C": {"passed": true, "sequences": 50, "swap_callbacks": 100000, "seeds": [310000, 310049], "max_fee_diff_bps": 0.00015195374049314925, "fees_above_threshold": 0, "threshold_bps": 0.1, "what": "frozen Solidity (byte-identical to J5, sha256 dd53db1f) vs the port with frozen (1e6-rounded weights, WAD constants) values"}}, "speed": {"markets_per_s": 198.14328392031248, "processes": 6, "scope": "512 10000-step replica markets, J5 inside replica (IA port), warmed numba, fork pool, measured while gate A EVM job ran on another core; 100 <= S < 300 so M = 256 per requester rule"}, "search": {"generations": 49, "minutes": 18.88, "M": 256, "popsize": 16, "es_seed": 20261203, "sigma0": 0.5, "final_sigma": 0.3692598463638007, "train_seeds": "1120000000 + 256g .. +255, g = 0..48, each used once", "monitor_seeds": [30000000, 30002047], "curve": [[0.0, 0.0, 0.0, 0.5], [5.02, -0.01378176767517672, 0.008555630399074232, 0.41061370377554135], [10.07, -0.01804849226124916, 0.009304386428490323, 0.39280806400480633], [15.19, -0.018961791166973968, 0.009739942601259051, 0.38082211741126826]], "curve_columns": ["search minutes", "monitor gain over START", "se", "sigma"], "frozen_point": {"gain": 0.0, "se": 0.0, "minutes": 0.0, "generation": 0}, "z_norm_of_frozen": 0.0}, "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": [8.0, 7.0], "SIGNAL_THRESHOLD": [0.001538461538461538, 0.001168085308968538], "DIR_DECAY": [0.75, 0.6708732125720838], "ACT_DECAY": [0.53, 0.49682908632969613], "SIZE_DECAY": [0.53, 0.4728256252769685], "TOX_DECAY": [0.91, 0.935365149604538], "SIGMA_DECAY": [0.69, 0.6696245950727084], "LAMBDA_DECAY": [0.99, 0.987870739046352], "SIZE_BLEND_DECAY": [0.828, 0.8483380461513357], "TOX_BLEND_DECAY": [0.051, 0.24478681527482282], "ACT_BLEND_DECAY": [0.985, 0.9846490771136527], "PHAT_ALPHA": [0.27, 0.247625310137791], "PHAT_ALPHA_RETAIL": [0.06, 0.0507874078770196], "PHAT_ALPHA_SAME": [0.12, 0.14851350675375644], "DIR_IMPACT_MULT": [4.0, 5.0], "GATE_SIGMA_MULT": [7.2, 5.424109880048015], "MIN_GATE": [0.03, 0.02752861145289368], "TRADE_TOX_BOOST": [0.35, 0.29535921748716293], "STALE_ATTRACT_FRAC": [1.05, 0.7339436627363265], "RET_CAP": [0.02857142857142857, 0.02077647001542073], "TOX_CAP": [0.2, 0.18285021586819034], "TRADE_RATIO_CAP": [0.2, 0.2114237530741308], "LAMBDA_CAP": [1.82, 1.3277634863952608], "STEP_COUNT_CAP": [64.0, 56.0], "BASE_FEE": [0.0004, 0.00051082991832555], "SIGMA_COEF": [0.2, 0.19158029221698078], "LAMBDA_COEF": [0.0012, 0.001362871137046423], "FLOW_SIZE_COEF": [0.4842, 0.47371206396001814], "TOX_COEF": [0.03, 0.02450003373115383], "TOX_QUAD_COEF": [1.5, 1.322845864299775], "ACT_COEF": [9.1843, 8.240528322972024], "DIR_COEF": [0.002, 0.003178306275011696], "DIR_TOX_COEF": [0.01, 0.0104643196179574], "STALE_DIR_COEF": [0.685, 0.7451429374420652], "SIGMA_TOX_COEF": [0.05, 0.045521188875803024], "TAIL_KNEE": [0.06, 0.04944397677675635], "TAIL_SLOPE_PROTECT": [0.93, 0.8769115691956163], "TAIL_SLOPE_ATTRACT": [0.85, 0.8632618839360807], "ANCHOR_COUNT_CAP": [674.0, 564.0], "ANCHOR_LINEAR_K": [0.7126960148076508, 0.7532823694587746], "ANCHOR_QUADRATIC_K": [1.2952407538263107, 1.301162029835076]}, "note": "identical to START (J5): the best monitored point was the ES mean at minute 0 (z = 0); every later monitor row was below START"}, "code_zb64": 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", "code_sha256": "dd53db1fbe42628e040c6c7b7a82689867ab601263c5e740506299a3a186b38c", "port_zb64": "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", "port_sha256": "69ded821676f8d1711a19a3d7f8da98db8378a38d1edfb548661fe5729423d81", "holdout": {"seeds": [41010000, 41018191], "frozen_vs_start": {"n": 8192, "mean_diff": 0.0, "se": 0.0}, "frozen_vs_IB": {"n": 8192, "mean_diff": 0.5470720195549598, "se": 0.010443134156081715}, "start_vs_IB": {"n": 8192, "mean_diff": 0.5470720195549598, "se": 0.010443134156081715}, "means": {"frozen": 530.7222989906414, "start": 530.7222989906414, "IB": 530.1752269710864}}, "real": null, "gas": null, "valid": null, "notes": ["All downloaded artifacts matched their URL sha256 ids; every embedded _zb64 file matched its stated sha256; checkout 6b6921f8; wheel aedb6828 checked by setup.sh.", "Port = IA's port_zb64 (b29cd2a0) changed as J5's notes say: the three anchor literals (674., 0.712696..., 1.295240...) read W[NW], W[NW+1], W[NW+2], and TH is passed in (V = [W(NW+3), TH]) instead of the global PT. Replica = KIT-B sim.py with this port; IB runs in its own port (f63227c5) with its params in TH[HEAD0:HEAD0+178].", "Search: CMA-ES (pycma) over 219 z (178 weights + 41 constants), z = 0 at J5 frozen values, weight = start + 0.05 rms(block) z, constant = start 2^(0.03 z) (x clipped to [-1,1] as J5 did), decays via 1-d, integers rounded; sigma capped at 0.5 * 0.5^(min/45); fitness = mean replica edge on the generation seeds.", "Search ran only ~19 search minutes / 49 generations: the machine has 6 CPUs (~200 markets/s, vs 5264/s on 32 processes for J5) and the time left after setup and gates. No monitored ES mean beat START (rows at 5, 10, 15 min: -0.014, -0.018, -0.019, se ~0.009), so the frozen point is START itself and the returned weights equal J5. The next leg should start from J5 again, ideally with more CPUs or a smaller sigma0.", "Freeze self-test: freezing J5 params with J5 constants reproduces J5.sol byte for byte; the frozen file is that same file (sha256 dd53db1f...).", "Gate A first attempt as one 50-sequence job timed out at 470 s; it was rerun as 4 chunks covering the same seeds 310000..310049 (100,000 swap callbacks).", "REAL ENGINE NOT COMPLETED: one attempt (IB, START, frozen arms on seeds 8070656..8071167, run_batch 8 workers in 128-market chunks) was killed by the 460 s per-command limit before its first arm finished, and no time was left in this run to segment it further. real, gas and valid are therefore null; no real-engine claim is made. Seeds 8070656..8071167 were consumed by that attempt without any result being read. Since frozen == START byte for byte, the real frozen_vs_START difference would be exactly 0."]}