{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved: the solved policy, replica and production U1 tables that LEAN and QLX5 are built on. Port audited: A/60dc237f (b-qlx r3); QLX5 + saved rows: A/1ef80bfb; core: A/2ad2abf4; kit identity-md-launches/goal-3178-build-shared-evaluation-kit@45e7563d; engine benedictbrady/amm-challenge@6b6921f8.","where":"replica","metric":"replica minus engine parity error, NOT strategy gain","gain_vs_base":0.0,"se":0.0,"n":512,"seeds":[10010512,10011023],"gain_note":"mean over the 512 saved-row seeds of (unchanged QLX5 port edge - unrounded engine edge re-run on the same release wheel); every per-seed difference is exactly 0.0 (512/512 bit-identical f64). Not a strategy gain.","source_sha256":"e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40","source_note":"QLX5.sol decoded from code_zb64.QLX5 of A/1ef80bfb (47,230 chars), unchanged; compiled bytecode sha256 275fd44fa37b567c17e18607436eebae510e2bd157979bf3a2fdb61228d59dab (kit SolidityCompiler, solc 0.8.24)","hashes":{"input_after_r3":"60dc237fa0a4d42f3b6e2d2bed61c1a2df08d27c31ccd95cce508ee9c8689de4","qlx5_and_rows_artifact":"1ef80bfb6d6791b877b1f4048a5e63cf2ae54153e6e8763ae3f8ab13132dfb15","core_artifact":"2ad2abf45223c729557e83e77d22de54c5db7da2be0599658144906b91dbf0f7","port_qlxcore_py":"701dbfd1175fee7d129de92db21b1ddc78645796c422b29d8efba2eda501ab00","port_enginecore_f_py":"60af56a7570fabd603c6374d38a38f88b3c35a8f1e8192f588769460a96bfcfd","port_bundle_tar":"0e8adc477297130b731395b8494b6652c982d2c865306a317e139835d21e27f3","core_as_delivered_enginecore_py":"dbda349fb8107612adc58e1b3d7f15e0ca5b084485dad7547328576a491e7ae2","qlx_tables_json":"8c6d33c5c1024bc23593f46123aad1712c0cc8af3f4a118c5875258f9d7b81a6","qpl1_blob":"830868f9b3e5ad162c4f2070e6faed0782c7b4cc308ab69044b2cf7306f68099","release_engine_wheel_so":"ff88b6353c2aad7342f0a26194f7347e78b9c3b38d683a7449006d423978cd14","instrumented_engine_so":"eb87407dfae4e9d5563967eb76e07875581eb25107cb10f158d088efae89d4ee","instrumented_cargo_lock":"f217870da92d7ac90ee8152b91dadf2bc5bb17b3dec0d2d4242f573d1dc36fd7","upstream_tarball":"fa91b175c4b0db13fa44657903f55f664c80fb34796172c94d57ebebba71ec9e","instr_patch":"7e391e64c65b0a9764fcd3a066685009b55ed8a9b7730fac1891211f48241934","payload_tar":"c9d5f89540cbcb02096c74f12e797d2f225b43adeb6002b24594dedf9b1d9ef5"},"upstream":{"url":"https://github.com/benedictbrady/amm-challenge/tree/6b6921f8d463314aa7c96234e1be25a25245f704","commit":"6b6921f8d463314aa7c96234e1be25a25245f704","tarball":"https://github.com/benedictbrady/amm-challenge/archive/6b6921f8d463314aa7c96234e1be25a25245f704.tar.gz","tarball_sha256":"fa91b175c4b0db13fa44657903f55f664c80fb34796172c94d57ebebba71ec9e","build":"cargo 1.99.1, cargo build --release of amm_sim_rs (no Cargo.lock upstream; resolved: revm 18.0.0, pyo3 0.22.6, rand 0.8.8, rand_pcg 0.3.1, rand_distr 0.4.3, num-traits 0.2.19, libm 0.2.16)"},"advance":true,"advance_reason":"512/512 saved rows reproduced with |port - engine| = 0 <= 1e-8 (engine re-run unrounded; it rounds to every saved 6-decimal row exactly), and the 12 full 10,000-step proof traces agree exactly in every compared category with 0 fee error and 0 f64 relative error. No parity defect found, so no repair was made.","parity":{"rows_512":{"n":512,"compared_against":"release engine (kit wheel ff88b635) re-run unrounded on 10010512..10011023 with unchanged QLX5 vs VanillaStrategy; these are the saved-row seeds, no fresh E seed","max_abs_diff":0.0,"mean_diff":0.0,"within_1e-8":512,"bit_identical":512,"engine_rerun_vs_saved_rows":{"rounded_equal":512,"max_abs_unrounded_minus_row":4.994752202946984e-07,"note":"only the 6-decimal rounding of the rows"},"mean_edge":{"engine":535.8764277580433,"port":535.8764277580433,"saved_rows":535.8764277597656},"afterSwap_calls":{"engine":5626901,"port":5626901},"split":{"tries":3655997,"hits":3256738},"tell_positive":1959880,"arb_labels":1958240,"peak_gas":208366,"oog":0,"reverts":0,"other_halt":0,"bad_return":0,"gas_note":"kit release wheel process-global counters over one run_batch of the 512 configs (32 workers); afterSwap peak 208,366 equals peak_gas in A/1ef80bfb"},"per_seed_errors":"all 512 per-seed differences are 0.0; full table (seed, saved row, engine unrounded, port, diff, f64 hex, calls, split tries/hits) is b2r3/runs/per_seed_512.csv in payload","production_tables":"qlx_tables.json decoded by mktables.py from QLX5.sol: sha256 8c6d33c5..., same as A/60dc237f files_sha256; QPL1 blob 10,160 bytes sha256 830868f9...","exact_tell_and_split":"port Policy defaults split=1, split_nc=5 (order 0,+1,-1,+2,-2), split_track=1; contract storage slot 6 (tracked offset m0) and slots 0..5 equal the port after every QLX5 callback on all 4 proof seeds (43,717 callbacks, 0 mismatches); m0 ranged -22..+26"},"logging_preserves_release":{"runs":12,"policies":["C30 (30/30)","C2545 (25/45)","QLX5"],"seeds":[9700000,9700003],"result":"release wheel vs instrumented build with AMM_TRACE_DIR unset and set: submission/normalizer edge, PnL f64 bits and sha256 over all 10,000 steps (fair price, spot, pnl, fees of both pools) identical on 12/12 runs; QLX5 bytecode sha256 identical","note":"the kit wheel (ff88b635) is not a pristine upstream build (it exports gas_stats); the instrumented build from pristine upstream + patch reproduces it bit-for-bit on these runs"},"trace_coverage":{"seeds":[9700000,9700001,9700002,9700003],"policies":["constant 30/30","constant 25/45","QLX5 unchanged"],"steps_per_run":10000,"categories":["prices","order_draws (count, side, size per step in order)","arb_decisions (both pools each step incl. none; side, amount, out, profit bits)","router_allocations (side, total, split bits)","fills_wad_and_reserves (is_buy, amount WADs, post-trade reserve bits, both pools)","wad_callbacks (inputs ts,is_buy,ax,ay,rx,ry WADs and returned bid/ask WADs, incl. afterInitialize)","step_state (reserves, fee buckets, cumulative edge bits, both pools)","step_end_fees (clamped WADs)","contract_state_slots (QLX5: m,v,s,r,fb,fa,t,cnt,syn,px,py,guard,m0)","final_edge"],"total_comparisons":1348988,"total_mismatches":0,"first_divergence":null,"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"per_run":{"C2545_9700000":{"total_compared":109274,"mismatches":0,"categories":{"prices":10000,"order_draws":8393,"arb_decisions":20000,"router_allocations":8393,"fills_wad_and_reserves":22340,"wad_callbacks":10147,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":352.8823217819899,"port_edge":352.8823217819899,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C2545_9700001":{"total_compared":101357,"mismatches":0,"categories":{"prices":10000,"order_draws":6733,"arb_decisions":20000,"router_allocations":6733,"fills_wad_and_reserves":19134,"wad_callbacks":8756,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":321.506753091577,"port_edge":321.506753091577,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C2545_9700002":{"total_compared":116857,"mismatches":0,"categories":{"prices":10000,"order_draws":9935,"arb_decisions":20000,"router_allocations":9935,"fills_wad_and_reserves":25422,"wad_callbacks":11564,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":450.31593203752504,"port_edge":450.31593203752504,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C2545_9700003":{"total_compared":101689,"mismatches":0,"categories":{"prices":10000,"order_draws":6830,"arb_decisions":20000,"router_allocations":6830,"fills_wad_and_reserves":19252,"wad_callbacks":8776,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":326.7575307062019,"port_edge":326.7575307062019,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C30_9700000":{"total_compared":112698,"mismatches":0,"categories":{"prices":10000,"order_draws":8393,"arb_decisions":20000,"router_allocations":8393,"fills_wad_and_reserves":23940,"wad_callbacks":11971,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":346.0273756163182,"port_edge":346.0273756163182,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C30_9700001":{"total_compared":104014,"mismatches":0,"categories":{"prices":10000,"order_draws":6733,"arb_decisions":20000,"router_allocations":6733,"fills_wad_and_reserves":20364,"wad_callbacks":10183,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":311.5331610471041,"port_edge":311.5331610471041,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C30_9700002":{"total_compared":120744,"mismatches":0,"categories":{"prices":10000,"order_draws":9935,"arb_decisions":20000,"router_allocations":9935,"fills_wad_and_reserves":27248,"wad_callbacks":13625,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":438.6735782296562,"port_edge":438.6735782296562,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"C30_9700003":{"total_compared":104499,"mismatches":0,"categories":{"prices":10000,"order_draws":6830,"arb_decisions":20000,"router_allocations":6830,"fills_wad_and_reserves":20558,"wad_callbacks":10280,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":317.7764427410588,"port_edge":317.7764427410588,"first_divergence":null,"peak_afterSwap_gas_tx":22587,"callback_errors":0,"labels":null},"QLX5_9700000":{"total_compared":121858,"mismatches":0,"categories":{"prices":10000,"order_draws":8393,"arb_decisions":20000,"router_allocations":8393,"fills_wad_and_reserves":22408,"wad_callbacks":11332,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"contract_state_slots(labels,m0,fees,t,cnt,syn)":11331,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":509.18420604524965,"port_edge":509.18420604524965,"first_divergence":null,"peak_afterSwap_gas_tx":205620,"callback_errors":0,"labels":{"callbacks":11331,"tell_positive":3889,"arb_labels":3888,"split_tries":7421,"split_hits":6578,"m0_values":[-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6]}},"QLX5_9700001":{"total_compared":112110,"mismatches":0,"categories":{"prices":10000,"order_draws":6733,"arb_decisions":20000,"router_allocations":6733,"fills_wad_and_reserves":19248,"wad_callbacks":9698,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"contract_state_slots(labels,m0,fees,t,cnt,syn)":9697,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":495.1443011057613,"port_edge":495.1443011057613,"first_divergence":null,"peak_afterSwap_gas_tx":195837,"callback_errors":0,"labels":{"callbacks":9697,"tell_positive":3761,"arb_labels":3759,"split_tries":5906,"split_hits":5316,"m0_values":[-14,-13,-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4]}},"QLX5_9700002":{"total_compared":131093,"mismatches":0,"categories":{"prices":10000,"order_draws":9935,"arb_decisions":20000,"router_allocations":9935,"fills_wad_and_reserves":25505,"wad_callbacks":12859,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"contract_state_slots(labels,m0,fees,t,cnt,syn)":12858,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":709.6945613325859,"port_edge":709.6945613325859,"first_divergence":null,"peak_afterSwap_gas_tx":191427,"callback_errors":0,"labels":{"callbacks":12858,"tell_positive":4186,"arb_labels":4185,"split_tries":8663,"split_hits":7652,"m0_values":[-22,-21,-20,-19,-18,-17,-16,-15,-14,-13,-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6]}},"QLX5_9700003":{"total_compared":112795,"mismatches":0,"categories":{"prices":10000,"order_draws":6830,"arb_decisions":20000,"router_allocations":6830,"fills_wad_and_reserves":19471,"wad_callbacks":9832,"step_state_reserves_feebuckets_edge":20000,"step_end_fees":10000,"contract_state_slots(labels,m0,fees,t,cnt,syn)":9831,"final_edge":1},"max_rel_f64":0.0,"max_abs_fee_bps":0.0,"engine_edge":530.3674113842906,"port_edge":530.3674113842906,"first_divergence":null,"peak_afterSwap_gas_tx":193348,"callback_errors":0,"labels":{"callbacks":9831,"tell_positive":3773,"arb_labels":3769,"split_tries":6022,"split_hits":5369,"m0_values":[-2,-1,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]}}},"no_injection":"the port policy sees only the callback WADs; fair price and rival state are never passed into it"},"drift_localization":{"negative_controls":{"neg_glibc_C30":{"mismatches":21024,"first_divergence":{"cat":"order_draws","t":6,"engine":"('6', 'sell', '4046de9d0ba64626')","port":"('6', 'sell', '4046de9d0ba64625')"},"first_by_category":[["order_draws",6],["router_allocations",6],["fills_wad_and_reserves",6],["step_state_reserves_feebuckets_edge",6],["wad_callbacks",4601],["arb_decisions",4602],["final_edge",10000]],"max_rel_f64":8.082328434522164e-14,"max_abs_fee_bps":0.0,"edge_engine_minus_port":8.185452315956354e-12},"neg_glibc_QLX5":{"mismatches":57722,"first_divergence":{"cat":"order_draws","t":6,"engine":"('6', 'sell', '4046de9d0ba64626')","port":"('6', 'sell', '4046de9d0ba64625')"},"first_by_category":[["order_draws",6],["router_allocations",6],["fills_wad_and_reserves",6],["step_state_reserves_feebuckets_edge",6],["wad_callbacks",53],["contract_state_slots(labels,m0,fees,t,cnt,syn)",368],["arb_decisions",369],["step_end_fees",452],["final_edge",10000]],"max_rel_f64":0.0005801240353047747,"max_abs_fee_bps":19.86241656980601,"edge_engine_minus_port":0.03738953382651289}},"finding":"The only drift class found is libm: the core as delivered (A/2ad2abf4, glibc exp) first leaves the engine at seed 9700000 step 6, a retail sell order size 1 ulp off (engine 0x4046de9d0ba64626, core ...25), which shifts router split and reserves in the last bits; prices stay bit-equal; the first WAD-callback difference is step 4601 and the first arb decision difference step 4602 (30/30). The A/2ad2abf4 report of step 517 rival PnL was the first difference visible through the release API only. With A/60dc237f fdlibm exp at the LogNormal and Poisson call sites every category is exact.","source_basis":"rand_distr 0.4.3 Cargo.toml depends on num-traits with default-features=false, features=[\"libm\"]; in this dependency graph num-traits \"default\"/std is enabled only via the dev-dependency criterion, so the release cdylib resolves Float::exp in LogNormal/Poisson to libm::exp (fdlibm port). This supports the A/60dc237f inference from crate sources rather than measurement alone.","rounding_operand_order":"no residual: k recomputed from current reserves per quote, multiplication order of split, i128 WAD truncation and clamp all bit-equal in 12 traces"},"repair":null,"repair_note":"no localized parity defect remains in A/60dc237f; nothing changed in the port","peak_gas":208366,"oog":0,"engine_work":{"fresh_seeds_from_10200000":0,"seeds_simulated":["9700000..9700003 (proof, 3 policies x 3 builds)","10010512..10011023 (saved rows, QLX5, twice)"],"leaderboard_submissions":0},"not_done":["Per-callback tell and arbitrage labels are not stored by the contract; they were checked through their consequences (exact equality of contract storage slots 0..6 after every callback, i.e. m, v, r, fees, counters, syn flag and m0), not as separate engine outputs.","Full traces only on the 4 proof seeds; the 512 saved rows were compared on final edge, callback count and gas, not per step.","Gas in the instrumented trace is revm tx gas_used (peak 205,620 on the proof seeds); 512-seed peak 208,366 is from the release wheel counters.","LEAN was not re-audited here (QLX5 only, as the brief asks). No P, Q, T, F, G or E gate, no tuning, no fresh engine seed, nothing submitted.","Raw traces (about 160 MB) stay in test/scratch; only summaries are delivered."],"commands":"b2r3/tools/COMMANDS.sh in payload (kit setup, artifact downloads, upstream fetch, patch+build, release-vs-instrumented runs, port traces, compare, negative control, 512 rows, gas)","payload_encoding":"base64(zlib(tar)); members b2r3/tools/{COMMANDS.sh,patch_engine.py,instr.patch,eng_run.py,mkcore_t.py,port_trace.py,compare.py,rows512.py,gas512.py}, b2r3/src/{C30.sol,C2545.sol}, b2r3/runs/{per_seed_512.csv,trace_summaries.json}","payload_zb64":"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"}