{"key":"misread-amounts","family":"amounts","rows":{"train":3567655,"test":1776190},"lattice_misread_test":0.16234580759941222,"auc":{"filter_only":0.9226584279206888,"mine_only":0.8959820252998588,"filter_plus_mine":0.9234240714525783},"misread_test":{"filter_only":0.16103401100107534,"filter_plus_mine":0.16002792494046245},"by_dt":{"1":0.1516549618892447,"2":0.205838512700964,"3-5":0.18173892129156394,"6+":0.15517049872264801},"by_size_quartile":[0.24656118257485676,0.20618988530493393,0.14243312081829176,0.05419909559326919],"top_feature":{"name":"neg_arb_price_innovation_abs_bps","definition":"Negative of: Absolute value of 10000*ln(p_arb/exp(previous price log-mean)); p_arb=s*(1-fb) for pool buying X, s/(1-fa) otherwise.","auc_alone":0.8739056596699507},"code_zb64":"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","code_sha256":"813292164660b8e4d6d5f649ede9bcff60a9245189e25ece034421d9ba2717ef","notes":"Full 512 train seeds 60000..60511; 256 test seeds 61000..61255; 10000..12047 untouched. Fixed numpy-only depth-6 CART, 64 training-quantile bins, min leaf 1000, threshold .5; no holdout tuning. AUC predicts arb, trade-weighted; top scalar/direction selected by training AUC. Errors favor retail->arb (172957) over arb->retail (115400). Smallest/largest own-fill quartile lattice errors 0.2466/0.0542; dt=2 is hardest (0.2058). Misreads have median spot move 6.95 vs 11.94 bps for correct reads: small ambiguous fills, not distinct reserve identities. Exact amounts mostly re-encode spot movement. Router equality requires an interior split; all-own fills only bound rival spot. The inferred rival-input ratio has training AUC only .507. Added features cut tree errors by 0.101 percentage points; this is a modest diagnostic gain. A policy should retain both hypotheses on ambiguous small fills and treat implied arb-price consistency as evidence, not certainty. No closed-loop score gain was measured; no fee-policy change. by_dt/by_size are lattice errors, with test own-fill input-notional quartiles. Archive includes definitions, counts, cutoffs, trees, tests and replay code. SHA256 hashes the uncompressed tar."}