{"item":"sd-calibration","batch":"e05-c-replica","hypothesis":"The qm tables were solved for a Gaussian belief of a given sd; with the grid test the belief is exact at a pin and a cut Gaussian after it, so the filter's sd may be mis-scaled for the tables. Hand the lookup sd' = c0 + c1*sd (by phase, optionally capped), mean and everything else unchanged.","verdict":"NEGATIVE: no calibration of the lookup sd moves the score beyond noise. Tuning surface flat within +-0.015 (se ~0.01) except clear losses for sd inflation (c1=1.5: -0.065; c0=+2 on all phases: -0.044). Frozen best-on-tuning variant scores -0.0010 se 0.0025 vs BASE on the holdout (n 2048). Why: lookups sit inside the table grid (99.999% below the last S level, 34 bps; 0.0009% past it) and the filter sd is already close to calibrated: at first trades the realized price error rms exceeds the claimed sd by 1-2% for 1-2 steps after a pin and by 3-6% from 3 to 33 steps (e.g. 12.66 vs 12.11 bps at 5-7 steps; 10% at >=34 steps, n 4185 of 14.4M), a gap the tables are insensitive to. Not worth a contract change; no Solidity section (variant minus BASE < 0.05).","policy":{"variant":"sdcal:Policy c0=-1 c1=1.1 ph=6 a0=0.35 ainf=0.35 soft=1 qm=qm_k1e-5.json","BASE":"stalerival:Policy a0=0.35 ainf=0.35 soft=1 qm=qm_k1e-5.json"},"rule":{"formula":"if (ph >> phase) & 1: sd' = max(0, c0 + c1*sd); if cap > 0: sd' = min(sd', cap); table lookup uses sd' (bps). Mean, posterior odds, rival pull, fee rounding unchanged","parameters":4,"needs_flag":false,"phases":"phase 0 = lookup after a pin (sd 0 there in 99% of lookups); 1 = first own retail trade of a step (or rival pull); 2 = later retail trades"},"frozen":{"name":"aff1","parameters":{"c0":-1.0,"c1":1.1,"ph":6,"cap":0.0},"parameters_sha256":"be2fd9f9c97e7702bdfec01c03a9c25af199cb7894e8b4e6abea59b7c3995f9d","code_sha256":"ee6053a7054d0626622b98feeb3a47b93c25e4c527f11bc3a7b32e7009129fa9","frozen_utc":"2026-11-10T06:05:27.154053+00:00","selection":"highest mean_diff vs BASE on 63100..63355 among 20 variants; holdout unread at freeze time; all tuning means within 1.7 se of 0"},"sd_at_lookups":{"table_S_levels_bps":[0,4,8,12,16,20,26,34],"measured_on":"holdout 10000..12047, raw filter sd (before calibration), diagnostic 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(256)","method":"run.run_policy (run.py unmodified, blind wrapper), paired vs BASE on the same 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(all phases, c0=0)":"0.8: -0.008, 0.9: -0.013, 1.1: +0.001, 1.25: +0.002, 1.5: -0.065 (se 0.010-0.020)","c0 (all phases, c1=1)":"-2: -0.015, +2: -0.044; +2 on phases 1,2 only: -0.008; +1 on phase 0 only: -0.008","cap":"12 bps: -0.005 (se 0.007); 20 bps with c1=1.25 ph=6: -0.002","ph (phase mask)":"c1=1.25 on phase 1 only +0.003, phase 2 only +0.004, phases 1+2 +0.001; affine c0=-2,c1=1.2 on 1+2 +0.013, on all +0.014","affine (c0,c1) on phases 1+2":"(-1,1.1): +0.0145 se 0.008 (frozen); (-2,1.2): +0.013 se 0.007; (-3,1.3): +0.005 se 0.009"}},"holdout":{"seeds":"10000..12047","n_each":2048,"variant_minus_BASE":{"n":2048,"mean_diff":-0.0010474271093182108,"se":0.0024756438354072564,"sum":-2.1451307198836957,"sumsq":25.695797423962862,"worst5":[[10843,-1.6506382701473967],[10208,-1.150737014395986],[10830,-0.7184004876953622],[11630,-0.6840762644792449],[10553,-0.37433377208139973]]},"variant_minus_tell_qm":{"n":2048,"mean_diff":0.08755528650420952,"se":0.007093939908922612,"sum":179.3132267606211,"sumsq":226.67084242722845,"worst5":[[11696,-2.0387954205561982],[10843,-1.646884881600272],[10822,-1.5763599329663975],[11277,-1.3434779962077528],[11413,-1.2967894953218888]]},"BASE_minus_tell_qm":{"n":2048,"mean_diff":0.08860271361352773,"se":0.007079197151580293,"sum":181.4583574805048,"sumsq":226.17274777636902,"worst5":[[11696,-2.0920680876059805],[10822,-1.5921358448919136],[11022,-1.4867062508961908],[11277,-1.3260298263055574],[11413,-1.269064635952418]]},"mean_edge":{"variant":536.6197629279636,"BASE":536.6208103550729},"misread_first_trades":{"variant":0.0002856361477440995,"BASE":0.00029583134058055305},"price_rms_bps_runpy":{"variant":7.116160594963088,"BASE":7.118381544597329},"chunks":["10000..10511","10512..11023","11024..11535","11536..12047"],"note":"chunk 11536..12047 of each arm ran once in a second command after the first command hit its 10-minute timeout before that chunk finished (no output written for it); no chunk was run twice, no retuning"},"per_seed_rows":{"encoding":"base64(zlib(byte-shuffle(float64 LE array))) ; un-shuffle: x[k*8+b] = s[b*N+k] with N = 4096 values; values interleaved [variant, BASE] per seed, seeds 10000..12047 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"},"price_error_first_trades_by_steps_since_pin":{"definition":"error = (m - ln p)*1e4 bps at each first own trade of a step, bucketed by steps since the policy last read a first trade as arbitrage (pin); claimed_sd_rms_bps = rms of the filter sd at that call. 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x 21 runs (BASE + 20 variants)","holdout":"10000..12047 both arms","remaining":"none"}}