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","code_sha256":"187f7c5173de8df12a7b22ddd0579255745e34bb448f8a2ec374580b81414e0c","port_zb64":"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","iad_sha256":"a4f2b410ffbcafaa6518c15674d060d719e13796da053e5efa49df7e1267f853","regression":{"purpose":"regression only, not performance evidence","seeds":[0,99],"n":100,"identical_edge_seeds":100,"max_abs_edge_difference":0.0,"passed":true,"gas_before_IA":{"afterInitialize":{"peak":243237,"calls":100,"oog":0,"mean":243237.0},"afterSwap":{"peak":237739,"calls":1082151,"oog":0,"mean":135532.99124059395},"getName":{"peak":21745,"calls":100,"oog":0,"mean":21745.0}},"gas_after_IAD":{"afterInitialize":{"peak":176917,"calls":100,"oog":0,"mean":176917.0},"afterSwap":{"peak":131825,"calls":1082151,"oog":0,"mean":104471.99840410442},"getName":{"peak":21767,"calls":100,"oog":0,"mean":21767.0}}},"seeds":{"gate_A_C":[310000,310049],"gate_B":[7116384,7116895],"init_check":[7116376,7116379],"train":[513000000,513036863],"monitor":[30000000,30002047],"holdout":[40000000,40008191],"regression":[0,99],"real":[7253248,7253759]},"notes":["IAD.sol = DIET.sol with the HA->IA source diff applied (patch, one hunk merged by hand next to the diet nx[12] runMean line); new input steps_since_arb_like_print keeps IA bits 240..255 of slot 15, which the diet leaves unpacked.","Candidate.sol is built on the IAD (diet) shell: IA shell afterSwap peak was 237,739 on regression seeds, leaving too little room for 4 more units under 245,000.","wport.py is IA port with hidden width derived from len(W) (no other change); Gate A used it with IA weights (W_IA, 217 entries).","Real-engine candidate chunk 7253568 was interrupted by a shell timeout before writing any result and was rerun once on the same seeds; no seed was used for selection. One command (the first candidate real loop) ran 9m50s before being killed, exceeding the 8-minute rule; its completed chunks were kept.","Monitor selection compared each checkpoint against IA on 30000000..30002047; T and HA were not used for selection.","No top-10 claim: the gain over IA is small relative to the +3.1 over HA the goal needs."]}