{"hypothesis":"The rival estimate becomes less reliable as steps elapse since a binding router-identity update. Use a three-parameter saturating alpha(age) for against-bound retail pulls; price filter, tables, posterior odds and one-sided bounds stay fixed. Compare increasing and decreasing curves with constant 0.35.","policy":"stalerival:Policy; tellpol.TellPolicy soft=1 qm=qm_k1e-5.json","rule":{"formula":"alpha(age)=a0+(ainf-a0)*age/(age+tau); log(s2h) += alpha*log(cand/s2h) only on a nonbinding retail identity","age":"integer callback timestamp minus timestamp of most recent binding router min/max update; initialized at timestamp 0; band clips and soft pulls do not reset age; all callbacks at the same timestamp share step age","parameters":3,"needs_flag":false},"frozen":{"selected":"rise_fast","parameters":{"a0":0,"ainf":0.7,"tau":2},"parameters_sha256":"53e8548f0d63a94815406d32deca567062f340168985b5bc6008bee2cab73507","code_sha256":"176f8115fb67d99340f1de1e6994042dfaa41f830c22e000595df3377cc6a2b3","frozen_utc":"2026-11-10T04:56:29.198286+00:00","selection":"highest mean on 62200..62455; constant included; holdout unread"},"tuning":{"seeds":[62200,62455],"variants":{"base":{"a0":0,"ainf":0,"tau":2},"constant":{"a0":0.35,"ainf":0.35,"tau":2},"rise_fast":{"a0":0,"ainf":0.7,"tau":2},"rise_slow":{"a0":0.15,"ainf":0.65,"tau":8},"decay":{"a0":0.6,"ainf":0.1,"tau":2}},"comparisons":{"vs_corrected_no_pull":{"base":{"n":256,"mean_diff":0.0,"se":0.0,"sum":0.0,"sumsq":0.0,"worst5":[[62200,0.0],[62201,0.0],[62202,0.0],[62203,0.0],[62204,0.0]]},"constant":{"n":256,"mean_diff":0.10546099126651542,"se":0.01958513147049075,"sum":26.99801376422795,"sumsq":27.887168315289568,"worst5":[[62385,-0.8794669579013998],[62392,-0.7261847253693077],[62215,-0.7160708609578705],[62294,-0.6651666270128089],[62396,-0.6380549901455197]]},"rise_fast":{"n":256,"mean_diff":0.11611699141851806,"se":0.01860805587648651,"sum":29.725949803140622,"sumsq":26.05552391403813,"worst5":[[62385,-0.7316057057896614],[62243,-0.6620975828850533],[62337,-0.5051347931107557],[62396,-0.4882100199579327],[62215,-0.4673461859714507]]},"rise_slow":{"n":256,"mean_diff":0.09340802745011922,"se":0.01794467651354021,"sum":23.91245502723052,"sumsq":23.25452043824657,"worst5":[[62215,-1.120584166647859],[62385,-0.6658933180054873],[62396,-0.6151809213659476],[62392,-0.5494000168340563],[62287,-0.5063558173735601]]},"decay":{"n":256,"mean_diff":0.08100961599097145,"se":0.018481982305187057,"sum":20.73846169368869,"sumsq":23.978596791030466,"worst5":[[62214,-0.737900412797444],[62385,-0.7248992083681287],[62382,-0.6411027464895369],[62396,-0.6032195370821114],[62287,-0.598417608710065]]}},"vs_corrected_constant":{"base":{"n":256,"mean_diff":-0.10546099126651542,"se":0.01958513147049075,"sum":-26.99801376422795,"sumsq":27.887168315289568,"worst5":[[62228,-0.9761200699736037],[62291,-0.9547411680667892],[62351,-0.903314853547954],[62246,-0.8583963382890829],[62338,-0.8364399612929105]]},"constant":{"n":256,"mean_diff":0.0,"se":0.0,"sum":0.0,"sumsq":0.0,"worst5":[[62200,0.0],[62201,0.0],[62202,0.0],[62203,0.0],[62204,0.0]]},"rise_fast":{"n":256,"mean_diff":0.010656000152002632,"se":0.009401721654359079,"sum":2.7279360389126737,"sumsq":5.799322804756687,"worst5":[[62378,-0.4246434136988455],[62275,-0.3250020564555598],[62291,-0.31811317907363446],[62450,-0.29491817951861776],[62435,-0.2879291886176816]]},"rise_slow":{"n":256,"mean_diff":-0.0120529638163962,"se":0.008716601855734907,"sum":-3.0855587369974273,"sumsq":4.997108903466668,"worst5":[[62386,-0.5129827917699004],[62246,-0.5046543353668653],[62215,-0.40451330568998856],[62297,-0.3526054952801587],[62401,-0.3162464937843197]]},"decay":{"n":256,"mean_diff":-0.024451375275543974,"se":0.008467342657950329,"sum":-6.259552070539257,"sumsq":4.833362466070411,"worst5":[[62207,-0.46825592965797114],[62286,-0.4602931073685568],[62259,-0.42142301086340694],[62352,-0.36732080049500837],[62321,-0.3132275780420173]]}}},"all_use_identical_integer_wrapper":true},"holdout":{"seeds":[10000,12047],"completed_seeds":2048,"remaining_seeds":0,"reference":"shipped tell_qm.json","reference_sha256":"ad382c07e6c2b3a5a8055ea767e140b7461105f29dafee69b7c1766c90d0634f","paired":{"n":2048,"mean_diff":0.10073661877880327,"se":0.007258673801179768,"sum":206.3085952589891,"sumsq":241.6658622431107,"worst5":[[11696,-1.9539929060408667],[11701,-1.598898483353878],[11022,-1.4513206067300644],[11413,-1.3653975809536973],[10676,-1.2772890638124181]]},"gain_label":"TOTAL versus shipped float-observation reference: includes WAD observation, exact integer fee round-trip and gamma-guard effects as well as the selected pull; tuning paired differences isolate changes against identical wrappers.","diagnostics":{"first_trades":14401705,"misread":4236,"misread_rate":0.00029413184063970205,"false_positive":3131,"false_negative":1105,"price_callbacks":22380795,"price_rms_bps":7.114580644696152,"price_error_by_time_since_pin":{"never":{"n":8654,"sum_error_bps":3321.1641130726825,"sum_squared_error_bps2":1240744.219325433,"bias_bps":0.3837721415614378,"rms_bps":11.97381888642538},"0":{"n":12914484,"sum_error_bps":-1201.8600922375324,"sum_squared_error_bps2":2322995.2718596314,"bias_bps":-9.306295878623819e-05,"rms_bps":0.4241169539956084},"2-4":{"n":3620766,"sum_error_bps":-11273.814686626116,"sum_squared_error_bps2":426081196.5550979,"bias_bps":-0.0031136545931513154,"rms_bps":10.847907045459058},"5-15":{"n":3396109,"sum_error_bps":43987.30166210097,"sum_squared_error_bps2":547137210.2045916,"bias_bps":0.012952264389070246,"rms_bps":12.692796450089519},"1":{"n":2116717,"sum_error_bps":26327.137081505305,"sum_squared_error_bps2":103039527.9405974,"bias_bps":0.012437721755674144,"rms_bps":6.977029050991412},"16+":{"n":324065,"sum_error_bps":3162.87149919224,"sum_squared_error_bps2":53032794.970867485,"bias_bps":0.00975999104868542,"rms_bps":12.792522629049696}}},"pin_age_definition":"Harness-only: timestamp minus most recent is_arb decision with posterior variance zero; never if no pin observed. First-trade diagnostics inherit run.py timestamp-advance definition, excluding timestamp 0.","scoring":"ONE frozen policy, once on 10000..12047; disjoint 64-seed checkpoints through unmodified run.run_policy stalerival:Policy; no holdout retuning or selection"},"per_seed_rows":{"encoding":"base64(zlib(little-endian binary64 pairs [candidate_edge, shipped_reference_edge])); implicit contiguous seed order 10000 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","n":2048,"columns":["candidate_edge","shipped_reference_edge"]},"observation_wrapper":{"inputs":"int(float(value)*1e18) for both amounts and reserves; continuous computations reconstruct only these integers / WAD. Store prior reserve integers and exact fee integers. tellref.is_arb uses those integers; hit chance uses integer paid/reserve binades.","fees":"Clamp returned fee to [0,1e17] wei, retain integer, return float(integer)/1e18. While execution gamma equals 1-0.003, add 128 wei to exclude the entire binary64 Vanilla gamma collision.","posterior":"Original odds retained, multiplying retail likelihood by collision chance on a grid hit; off-grid retail. Never pin on hit alone."},"blindness_checks":{"needs_flag":false,"checks":["Fetched 34 files: zero hash mismatches","11856/11856 reference vectors matched through integer wrapper","2048 fee inputs around 30bps exclude gamma collision and agree with tellref.gamma_of","Same-WAD distinct float callback amounts produce identical decisions and fees","Supplied truth flag versus absent flag produces identical decisions and fees","Zero-pull policy agrees with supplied corrected wrapper on 100 synthetic callbacks","Alpha bounds and monotonicity checked for every tuning curve","run.py and tables checked against fetched hashes; no modifications"],"decision_inputs":["WAD side/amounts/reserves","callback timestamp","own previous state and fees","fixed tables and three frozen parameters"],"harness":"Truth p and arb are used only after inner.on_trade for diagnostics; rival s2 and index j are never passed into policy; no run parameters or seed enter policy"},"solidity":{"status":"UNMEASURED estimates only; no Solidity or engine work","extra_state":"one last-router timestamp; <=8 bytes packed uint64 or one 32-byte storage word if unpacked; age derived on demand; three compile-time constants","ops":"age subtraction, one bounded rational interpolation (multiply/divide), log-gap multiply, exp on against-bound retail updates; fuse pull before the existing fee lookup to avoid Python prototype extra lookup","incremental_runtime_bytes_estimate":[100,300],"incremental_gas_estimate_per_affected_callback":[3500,9000],"notes":"Includes soft-pull arithmetic relative to no pull; staleness alone versus constant estimated 30..100 bytes and 30..150 gas plus storage access (warm/cold/update dependent), unmeasured. Integer test/wrapper costs excluded. No peak gas, size, 0.01bps equivalence, OOG or engine-score claim."},"code_encoding":"base64(zlib(UTF-8 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","pinned_dependencies":{"run.py":"54d19a9194ebedee8b947dfaaf8626b1e4ef6f7d1b5aa12e738ec01a5ce401ac","real.py":"7fc9f4bdf9a9af094ec2eb0e9a8e8eec8b343c5226bf0ebaa30c798785cb7c58","tellpol.py":"6e62a0e070d9778537e746438f03ea7a4b44cb1d9652ae13702b801997db5f6d","tellref.py":"72679df55e2ba46a903075543654b685e7b2bf86dfbef3d5122dff6368d4a4f2","replica2.py":"6e37b4e61e1ffa5ffb1e43912ddb8659105989aa986eb48fcd1d7608f8dca685","qm_k1e-5.json":"5ff53e42ca87390e5f65d1caa3f7a480e67a8212fb0670274dfd562b05ba1afd","pol_mid.json":"efbb5ee102db4d312f64565d9bf7232b6becbe02b624164f744a402bbbf2983b"},"sources":"sources.json; external results motivated this experiment only; all new score claims computed locally","verdict":"Below the +0.2 integration bar; do not promote on this evidence. Tuning advantage over corrected constant is small and uncertain; no holdout constant arm was run, so holdout does not isolate staleness versus constant. No engine or Solidity validation."}