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{"type":"thread.started","thread_id":"01a15c9a-bc52-7791-b481-66801efb6097"}
{"type":"item.completed","item":{"id":"item_0","type":"error","message":"`[features].use_legacy_landlock` is deprecated and will be removed soon. (Remove this setting to stop opting into the legacy Linux sandbox behavior.)"}}
{"type":"turn.started"}
{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"I’ll stop research and use the existing results to select the strongest fully replayed candidate. I’ll check its package files and hashes, publish it atomically, and finish without running inference or new experiments.\n"}}
{"type":"item.started","item":{"id":"item_2","type":"command_execution","command":"/bin/sh -lc \"python - <<'PY'\nfrom pathlib import Path\nimport json\nW=Path('/workspace/research')\nfor root in ['d5_global_mean_transfer','mps_cpu_confidence_refinement','context_upgrades/cq_runtime_pruned1','operations/tensor_priority_after_global1']:\n p=W/root;print('ROOT',root)\n for name in ['queue_status.json','FINISHED.json','finished.json','REPLAY_FINISHED.json','EVALUATED.json','status.json']:\n  if (p/name).is_file():\n   x=json.loads((p/name).read_text());print(name,json.dumps(x)[:4500])\n if (p/'score.json').is_file():\n  x=json.loads((p/'score.json').read_text());print('score',x.get('performance'),x.get('status'))\nprint('SUBMISSION',Path('/workspace/submission').exists())\nPY\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.started","item":{"id":"item_3","type":"command_execution","command":"/bin/sh -lc 'cat /workspace/contract.md\ncat /workspace/research/publish.py'","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.started","item":{"id":"item_4","type":"command_execution","command":"/bin/sh -lc \"cat /workspace/research/CURRENT.json\nsed -n '1,100p' /workspace/research/CONTINUE_HERE.md\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_4","type":"command_execution","command":"/bin/sh -lc \"cat /workspace/research/CURRENT.json\nsed -n '1,100p' /workspace/research/CONTINUE_HERE.md\"","aggregated_output":"{\n  \"package\": \"/run-state/workspace/research/context_upgrades/cq_runtime_pruned1/package\",\n  \"predictions\": \"/run-state/workspace/research/context_upgrades/cq_runtime_pruned1/predictions\",\n  \"score\": \"/run-state/workspace/research/context_upgrades/cq_runtime_pruned1/score.json\",\n  \"P\": 0.7678269606370192\n}\n# Continue live research — 2026-10-24 09:07 UTC\n\nUser says NO ENDPOINT: keep researching, validating, and atomically publishing the strongest replayable candidate. Do not send a final answer. One H100,22CPUs,224GiB. No network, credentials, test records/labels, released per-shot answers or external weights. Own-session trained ancestors only. No agents/goals/skills authorized. Commentary at most60s apart. **These processes are LIVE; this is not a new infrastructure recovery. Inspect process identity before any restart.**\n\n## Immediate next work — updated09:07\n1. **CPU exact oracle LIVE**: `mps_exact_dense_oracle`, controller185825/session70709, child185826. Started08:42:07.68, original3600s cumulativecap includingfirstfailed.418227s.2OpenMPthreads CPUs7,8. Fixed12label-freecomponents X/Z3/25first2originalengineeringrows/allXexperts. Now8/12complete; currentsurface_code_bZ_d5_r03_center_5_5-expert0-row8515. X3~15s/component,X25~367–375s; forecasttotal~38–40minwithin1hcap. No partialrank-errorcomparison. Observer185856/session96492 waitsfullreport, writesdiagnostics/mps_exact_dense_oracle_20261024/plot. Inspectallwhencomplete.\n2. **CPU zero-delta rank32 DONE**: owner185425/185726/session59948 finished09:04:58.886544 after1673.054s. All520valid,new212/parent211/learned212/parentmean209/rawdirect211. Nonr1Xzero93vslearned100,parent95; Zzero103vslearned96,parent102. WorseNLLbothbases. No modelselected. Observer185655/session34162 DONE/plotVIEWED. DoNOTrestart.\n3. **CPU correlated parity study LIVE**: `mps_correlated_parity_information`, owner185624/session95163, child186396, probe09:05:07.886461. Preparationpassed1.700583s/all26/EXACTdelta-reconstruction0.12workers13..24,7200wholecap;1200newcontractions=720learnedexactgroupfactor+480neutral at SAMEgroupedorder/rank16, plus40r1rawreuse. Same520rows, allbeforelabels. Sources9 SHAe486d19a11c291536e31524bc83bf08e5cda23d691a22f64bc18622211a514b6. NoGPU/newlabels/validation/modelselection. DoNOTduplicate/editpinnedcode.\n4. **CPU batched persistent proof DONE**: continuation181056/181969/session98166 finished09:04:26. All18casesorder/single/outercontextqcoresbits; maxdifference1.98435e-5vsnative64,6.50129e-5vsfused32. All3rankkernels offlinecompiled, noCUDAexecution. Continuation3085.256+original1200.065=4285.320s<cumulative4800cap. Reportb8f27e6f854c0ec80e7b71cd9daff9e267c56545dd88b7c1dc6ac46d8f5e2f99. DoNOTrestart.\n5. **GPU original globalMF TRAINING**: owner174575,parent126018/session61705,trainer184118. `d5_global_mean_transfer/fit1.log`, at1792; main08:16:54,4096B256; GLOBAL1024/2048/4096+incumbentonly. First1024freshcheckpointfrozenphysicalparamsunchanged. No partialvalidation. Observer23584 waitscomplete. Existingqueuebelowunchanged.\n6. **Persistent GPU deferred proof READY/QUEUED**: owner186069/session17208, `operations/persistent_full_after_signed1/status.json`, waits signedscience166778terminal. Automaticallyfroze18sourcepins/95inputpins09:04:36; root`mps_persistent_gpu_prototype`. SOURCESSHAc5d89acfd7545f70e03a46e0010bb4dc54d6d879659eabb3dfa84fbee3597b6e,INPUTSSHAc2f1a9c05a79f10e4cc470405838bc5aecc0b22e60dce4a32b08dad88d84ba6c. Original1800futureGPUcap, requirestandaloneSVDGPUproofpassed+idledevice. RESOURCE_RELEASEabsent; noGPUrunyet. DoNOTmanuallyprepare/editfrozenfiles. AllcurrentGPUjobs/orderretained.\n\n## Strongest published — unchanged\nCURRENT.json and /workspace/submission = `context_upgrades/cq_runtime_pruned1`.\nValidation P=.7678269606370192; d3failure.23970665564903845,d5.22463942307692308. Published05:10:31.762459. Sameweights/config/manifest asd3_fullbatch_specialist1; removedonlyunusedCQinferenceargs operation_map,lengths,segment_gaps.\nActualALL130/665600 replay438.361673597s; d3 41.643794063,d5 396.717879534. ALLdecisionsunchanged; activeZnonr1CQprobabilitiesBITWISE. Othernativeqdiffmax4.2915344e-6. Projection2140.437859s, NOTtimedtest. Sixreadonlyrelocated arbitraryIDs/order/subsetcases N1,37,1025,7,257,17 allqdiff0. ActualUID1000 (nottrustedDockerUID10001).1197files244074436bytes734checkpoints; hash/path/no-symlinkauditvalid,82runtimemodules noexternalpaths.\nManifestSHAff087e2a49dbab88432de4d9bf6c28b59a092fdc28e4276320475a58533da786 reconfirmed08:37. research/publish.py validatesandatomicallyrenameat2exchangeswholepackage. Installedqecbench.package isAlphaQubit-specificconverter; don'tblindlyuse. NEVERedit submissioninplace. No testperformance/SOTAclaim.\n\n## GPU queue unchanged\n- Parent126018/session61705 `operations/continue_mean_queue_after_r5_pattern.py`, marker`operations/pending_mean_runtime_padding1/status.json`; NOW globalMF174575/184118.\n- Directreadout-odds native recovery93352/session92071, `operations/direct_recovery_after_means1/status.json`.\n- Transientd3 owner146763, supervisor146086/session31779, `operations/transient_after_direct_epoch_repair1/status.json`.\n- Repairedpersistentgatedd3 owner155039/session95627, `operations/gated_dependency_repair_after_transient1/status.json`.\n- Exactscalar-repairedSVD16 engineering170696/session49661, `operations/svd16_scalar_rem_replacement1/status.json`; also writeslegacy`operations/svd16_after_repaired_gated1/status.json`.\n- Signed-smoother engineering159016/session49884, `operations/signed_integration_after_svd1/status.json`.\n- Signedscientific166778/session44273, `operations/signed_study_after_integration1/status.json`.\nNeverrestart stoppedoldSVD157461, idleCPUcontinuation180673, originalbatched173501, completedallsite156013/165300/165303, rank32probe170466/170467, summary178811, groupodds184878/185302 orsummary185653. LIVE_RECOVERYsnapshotcanlag; ACTIVEcontainslegacykeys. Checkactualcommands.\n\n## Global and signed scientific designs\nAllsiteMF completed07:56:35 NEGATIVE. GLOBAL1024/2048/4096 d5failures.2251277043/.2251126803/.2248873197; net-65/-63/-33. X-43/-38/-19,Z-22/-25/-14. Incumbentselected; nopublication. Main4096elapsed6113.611s,1048576draws448105unique,1933X/1868Zupdates295r1bypass. DescriptorSHAd01b278f27c179b57692710769539ac042e5b33104be1331d191230189fdcc6f. FrozenphysicalSHAa6ae3c53abb03298c696c40c1722908b3c16d333e3617320ade90dd5baf93314 unchanged. RESULTS/fullsummary/parameters/plotcompleteandVIEWED.\nGlobalMF usesSAME8parameterallsite-noise256 asallsite; targetcentral2->all12 ONLY, notjoint30.4freshlogits seed20270031,counter20268620,4096B256,3GLOBALchoices+incumbent, originalF64derivatives. AllGPU64/backend/exportcontrols passed. Neutralactual26replay383.138220239s, projection2074.130929s, nottimedtest; neutralineligible. Sameprocessr1BITWISE; historicalXr1diff2.20537e-6/zerochangeddecisions separatelyreportedunderoriginalrepair.\nSignedsmoother rootd5_signed_smoother:2freshsignedscalars seed20270601 Normal(0,.01), c=4tanh(raw/4), pnew=p/[p+(1-p)exp(-c*(m_off-pi))], all12targetreadouts, no targetlatentchain. FrozenownNN +joint30noise128, differentnoise/support/model fromoriginalmeans (notisolatedsigncomparison). Counter20268620,4096B256Adam.02clip1,3GLOBALchoices+incumbent; keepr1/d3. CPU64vsresumeBITWISE, fourpilotNumPy/ADq0gradmax9.7e-9,exportorder/subsetq0/r1bits; passed06:10/186.71s.55training/19inherited/90preparedpins. Initialnoise8/256metadatacopyerrorarchived/correctedbeforefitting; mathalwaysjoint30/128. WholeGPUcap14400. NoGPU/mainyet.\n\n## Completed tensor scientific probes — training only, not benchmark P\nAlluse520fixedtrainingrows:20/condition, upto16oldparent|q-.5|<.05+4remaining. Matchedneuralparents trainedonthese labels. No validation/newlabels/rankthresholdfitting. Anyfuturecandidate keepscurrentr1.\nOriginalhazardrank8/16 reportSHA98aa7278ebe377240ccf7626cf46f7859f103cb0bb2ee62c54dc86bfc1e3691e. Rank8 new219/mean226,rank16 new213/mean212,matchedparent211. OriginalrawDEMrank16direct210/mean213vsolderselectionparent206. Rank8rawoneinvalidX17position3264q1.2696669; checkedgesvdrepairpreserved. Initialhazardprep r1turboKeyError repaireddeclaredidentity14.7196s charged. LABEL_ACCESS_SCOPE saysoldprep decodedalreadyanalyzedJSONlabels forbookkeeping, unusedprediction; newprobesprepare/workersreadlabel-freeonly.\nLearnedhazardrank32 DONE08:22:44.740951,3048.546s,all520valid/760contractions, reportSHA0877b2ae4af3c5649631997794109e78049914ae5761b0e55fcbad05885c6c65. New212/mean211vsparent211; corrected58introduced59. Nonr1480:parent197/new196/mean195; Xparent95/new100/mean98,Zparent102/new96/mean97. ParentNLL.6338603082,new.6289176262. Rank16->32qmedianabs.003359765,p90.01463814,p99.03926030,max.1430199742;37decisions19corrected18introduced. diagnostics/mps_neural_hazard_rank32_20261024 plotVIEWED. No modelselected.\nExactUNCONDITIONALgroupoddsrank16 DONE08:37:03.169304,controller850.008706s/probe841.761361s.720newnonr1+40r1reuse,all520valid. New213/mean213vshazard213/mean212,parent211. Corrected65introduced67. Nonr1parent197/new197/mean197vshazard197/mean196; Xparent95/new97/hazard96,Zparent102/new100/hazard101. NLLnew.631073695. Mappingchangesonly4decisions2corrected2introduced; qabsmedian.0003264844,p90.00196332,p99.00910144,max.03022474. No selection. diagnostics/mps_group_odds_20261024 summarySHA77ced4b8b2e1034e5db2d2d7d3daeb738ddaa7037f46d08d5d23ba0b1ed675ef,plotVIEWED.\nGroupodds formula: base=.5(1-product(1-2pi)), desired=sigmoid(logit(base)+delta), commonhazardscale=log1p(-2desired)/sumlog1p(-2pi). All26originalhazardreconstructions EXACT0, groupmarginalerror<=1.11e-16/support/r1same. Originaldelta bounded[-2,2],maxgroupbase.0850789<sigmoid(-2) impliesdesired<.5. ThisisNOTexactjointparitytilt andnotactualTurbo-conditionedbase.\n\n## Exact correlated group factor — new paired study queued\n`mps_correlated_parity_prototype` mathpassed08:32:41.435948:25toys fulljointdistributionmax2.220446e-16,untruncatedrank32MPSqmax7.965850e-13; no physicalshotarrays/IDs/labels/GPU. CPU~2.147s/launcher3.073s. AuxiliaryBernoullip=sigmoid(-abs(delta)), observed1ifdelta>0else0 givespositivefactorproportional exp(delta*groupParity), preservingwithin-parityratios. Fixedtwofaultsame-marginalindependentredistributionjointdifference.0615153. Fullphysicalfaultprobabilitiesunchanged.\nAll26geometryplans useoriginaldetectororder, completegroups beforeearliestphysicaldetector, originalmemberorder; reusableauxslot1/logicalslot0, uint64CPU masks. Width15r1,29/30X/Zr3,36/37laterr, X25/Z25ops12767/12717. NOTsupportedcurrentint32GPUkernel. `mps_grouped_order_geometry` all26×3 staticorderspassed4.978slauncher: originalmaxwidth37/span2631932,forwardgreedy36/2709630,reversegreedy36/2539310. NOTruntime/accuracy; noorderselected. Pairedscientificstudy retainsoriginalphysicaldetectororder.\nQueued `mps_correlated_parity_information` compares exacttilt vszerodelta atSAMEgroupedorder/rank16. Fullownfloat32delta recoveredfromoriginalhazardrates, exactreconstructionrequired, unchangedphysicalfaultp. Zeroauxp=.5 observed0; Xcontractonceandduplicatefinish. New1200nonr1contractions; allbeforeoldhazard16labelrowJSON. R1reuseoldrawforboth, futurepublishedr1retained. Reportsbothvariants/parent/hazard16/fixedmeans/all26/bases/strata/nonr1, invalids; no P ormodelselection.\n\n## Exact dense oracle implementation and recovery\n`mps_exact_dense_oracle` usesordinaryfloat64probabilityvector (noSVD/Doobtransform), in-placeXORpair updates, physicalbitprojectionreset, highestactivebitloop bound, rescalebelow1e-40. Maxwidth26/state512MiB. NativeC11 withGCC12/OpenMP2, nofastmath. Sources14SHArecordedinSOURCES and ACTIVE; checksallbeforework. Originalg++ attempt185796/185797failedbeforecompilation,0.418227s; archivedinitial_compiler_failure andCOMPILER_REPAIR. SamearithmeticconvertedtoC,original3600capminusfailedseconds.32smallNumPydensecontrolswidth3..10 +120rareprojectionstress (>=8rescalings) passedqmax9.992007e-16/threadmax8.326673e-16;0.1874sbuild/control. Twelvefixturespinonlyoriginalplans, ownpreparedrates/dets/positions andraw8/16/32componentJSONs (nolabels/IDs). Exactprobabilities belongtospecifiedmodel, nothardwaretruth. NUMERICAL_SCOPEexplicit. Everyexactrowcheckpointinexact_progress.json; progress.json reportscurrentcomponent. Noautoresume; afterinterruptionchecksourcepins/ownerbeforeplanningcontinuation.\nObserver185856/session96492 writesrank8/16/32abs-errorreport/PNG/SVGonlyafterall12complete. No numericalbound/modelselectedfromoutput.\n\n## Persistent batched GPU proof preparation\nCPUbase `mps_batched_rate_dispatch_repair` acceptsps[B,T], faultload(b,physical), supportpreserved, warps4/8/8; externaldisable_x64 aroundFULLforwardJIT, separateenable_x64reverse. OriginalinnercontextversionfailedHLOi32/i64aftertoy5.427s. Current5inheritedfixturesEXACT;18native64prefixrefs38.311s+18fused32refs827.196s complete,maxdifference5.99034e-5. Integrationchecks<=1e-3 vsBOTH, reverse/single/outercontextqcoresBITWISE.\nOriginal173501timedout08:12:54after1200.0645s,only221secavailableforneuralstage/2casespassed; no numericfailure. Archivedoperations/batched_rate_cpu_continuation2/original_timeout. Idle1800scontinuation1 watcher180673 stoppedbeforeanyretry; replacement3600extra declaredprospectivelyfrommeasured~3.5xrefcost. Current181056 rerunsUNCHANGED18cases+offlinecompiles, totalallocation4800. RootPROCESSstale. FirstR32X3passed238.939s,maxqdiff5.29e-6vsnative64; X25R32case605.42s. NoGPUallocation.\nUnallocated `mps_persistent_gpu_prototype/prepare.py` requirescompleteCPUreport+continuationFINISHED andrank32report; verifiesallcopies/dependencies,24label-freerawJSON=36fullcomponents and36prefixrefs, thenfreezesINPUTS/SOURCES. common.py refusesGPUwithoutRESOURCE_RELEASE. Fourstagesfixed1800cap: densewidth3/6/9all60boundaries<=1e-4,18realB2prefix/fullcases<=1e-3 andpotentials1e-6/1e-12, reverse/single/outerbits; N257shuffled+127/130chunksbits; sixfullreverse+forwardB128timingsX/Z25allranks,3warm+firstcall, B128qbitsvsB2proof. NoE2Einferenceruntimeclaim. TimingB32->128amendmentbeforeallocation/freeze08:28:49 (H100132SMs/L2size); originalsarchivedinitial_timing_design. AmendmentSHA08f01ce3202f50044d39c39ae8866c519f7bb2f7b2bf5e54383476f247c40a5c. NoINPUTS/SOURCES/RESOURCE_RELEASEyet.\n\n## Earlier accepted engineering / caveats\nFullfusedCPU6X3/Z25r8/16/32passed1e-3 vsnative64/32,max.0002529226; paddedQR900matricesmaxproduct5.93e-7,orthogonality8.7e-7/paddingzero/orderbits. PersistentCPUall60smallboundariesmax1.33185e-6, actualprefix8max2.99e-7/8.19e-8. Offlinefailuresscalarwherei1, scalarstepmodi1,missingcompilerregistration preserved. Currentbase `mps_persistent_rem_barrier_repair`: int32doubling,lax.rem/barriers. Registeredofflineall3PTXpass; inputPrecision2IEEE,noTF32/MMA. Staticwarp8reducesspillrank16/32, notactualGPUtiming. Reverse64literaljnp.float64(-.5)repair all5synthetic+12actualrows potentialsBITWISE NumPy/offlinePTXpassed; noGPUclient. SVD16scalar-remreplacementCPU44archives=128matricesBITWISE,6offlinekernels;600GPUslotaftergated unchanged.\nInput-drivenJAXhazardrate_lift CPU passed8.594s,4actualownNNpairsmax2.78e-17,all26/520max5.55e-17. NUMERICAL_SCOPE:rateconversionorderbitsgivenalreadycomputeddelta, notwholeNN. FutureinferencerecomputeTurbo/features frominput; trainingcache IDs usedonlyequalityalignment incontrols. NofullGPUinputpipelineproofyet.\nMPS_NEXT_SCIENCE.md remains UNCOMMITTED: futureinput-derivedgate/integration sketch nowdocumentsinfer.sh->hybrid3.py/d5_contextual, Turbo512passes3X/5Z, ownfrozenstates anddelta-onlyfunctions. Nochosenrank/threshold/blend/validationmenu/GPUallocation. Invalidfullcomponentsmustpredeclaredparentfallback,noclip;all130fullscore/actualexportedreplay/readonlyrelocation/arbitraryIDs/N/order/subsets/runtimebeforepublication.\n\n## Operational notes\n/workspace/research symlink->/run-state/workspace/research; use explicit/workspace/data, notresolvedresearch.parent/data. Shellsh nobraceexpansion. No credentialinspection. Pinnedsharedhelpers verify/audit/finalize/publish/write_selection_history/runtime_estimate NEVERedit. Sourcesoflive/queuedjobsfrozen; notes/observerscanupdatewithtruthfulhistory. Source/proposal amendments mustpreserve failedattempts andactual resourcecharge. Noauthoritative remainingresearchclock; don'tinventdeadline. Storageamplelastchecked.\nFullprecise earlierhashes/amendments/results in CONTINUE_HERE_before_20261024T0845.md, then0822/0737/0703archives. HANDOFFappend-onlyhistory. Newestactualfiles/currentprocessidentities override stale summaries.\n\n## First globalMF selection checkpoint recorded — 2026-10-24T08:46:45.821330+00:00\n\nGlobalMF1024 elapsed1749.609515s,262144draws204438unique,477X/464Zupdates83r1bypass. Physicalparameters BITWISE unchangedSHAa6ae3c53abb03298c696c40c1722908b3c16d333e3617320ade90dd5baf93314. DrawdescriptorSHAb1198f3b884a996ec3cfea9466cba1ff819f6a2569318e53322e6e39089413e2, weightsSHA4cf42e5fa0733ed5a3440cb848e7eb63ae82f31abb76b6a321fbb7d4a3bc4a2e. No partialvalidation ornewchoice; original4096maincontinues. GPU100%/9156MiB/504W. Exactoracle4/12completed, firstX25since08:43:09; zero32~107raw; batchedCPU11/18, X25expert1r32. Oracleobserver185856/session96492 nowrecordedinLIVEguide; outputdiagnostics/mps_exact_dense_oracle_20261024.\n\n## Deferred persistent GPU queue entry now LIVE — 2026-10-24T08:50:52.290541+00:00\n\nNEWowner186069/session17208 runsoperations/queue_persistent_full_after_signed.py; markeroperations/persistent_full_after_signed1/status.json. It currentlywaitsCPUcontinuation181056success; NO GPUallocation/releaseyet andnoGPUsourcefreeze yet. WAIT_PLAN pinsall13prototypepyfiles+proposal/B128amendment/archive BEFORECPUproof. DoNOTmanuallyrunprepare.py orcreateSOURCES/INPUTSwhilethisownerlive. OnCPUreport+continuationFINISHEDpassed it automaticallyrunsfixedprepare.py tofreezeallnumericreferences/sources; thenwrites1800s deferredALLOCATION andwaits signedscientific166778terminal. Requires standalonefused_small_svd_scalar_rem GPU_FINISHEDandgpu1/report PASSED, allpinsunchanged, NVIDIAdeviceidle. OnlythenGPURESOURCE_RELEASEandrun.py4fixedstages. Inner1800wholecap; outer1830cleanupguardkillsknownstagegroup/controlleronhang. No currentGPUjobstopped/reordered; appendAFTERsignedscience asoriginalproposal. WaitplanSHA1a1a2bc301b88c942f5fec8b5abde6d3dded074789112dc71a1bb7ee0245f9df. This supersedes oldguideinstructionthatprototypehasnoqueueowner; model/ranks/tolerances unchanged.\n\nExactoracle firstX25componentcompleted367.171986sec for314333445404XOR/projectionpairs; X3components15.0–15.43sec each. Timingonly inspected, no partialrank-errorcomparisons. Six25roundcomponentsplusshortfixturesforecast~38–40minwithinoriginal3600cap, notguaranteedruntime. Current5/12exactcomponentscomplete.\n\n## CPU overlap feasibility audit completed — 2026-10-24T08:55:19.277294+00:00\n\nmps_cpu_overlap_feasibility session68986 DONE, 0.817052s. Readownpublishedvalidationprobabilities ONLY(noIDs/labels), fixed9confidencehalfwidths; all26d5/r1retained, d3routesunchanged. Usedoriginalcompletedhazard16/32rawtrainingtimings percondition/allXexperts, no newlogicalevaluation orcandidate/gate/rankchoice. AtvalidationN133120: delta.0001gates229(.17203%), rank16idealwork/20workers275.27s,rank32 957.80s; .00025gates514→630.45/2189.54s; .0005gates969→1246.92/4333.57s; .001gates1938(1.45583%)→2654.60/9245.93s; .05gates25498→30194.31/104690.27s. These arework-only projections EXCLUDINGparentGPU/featuregeneration/compile/IPC/startup/contention, NOTactualinference/testtiming. Gatesconcentrateatcostlylongrounds; naiveuniformconfidencevolumeunderestimatednear.5density. OnlyverythingateCPUpipelineplausible; nochosenmodel. ReportSHAed5d5d256cfd2ab53da80283768351afc16548c3455de5c34c4361bd9bffb6c5. RESULTS.mdtablecomplete.\n\nAt08:54:40 batchedCPUneural17/18passed, lastZ25rank32inprogress; exactoracle5/12, secondX25component; zero32~207raw; globalMF1280elapsed2111.846s. DeferredpersistentGPUowner186069 waitsCPUproof, no earlyGPUallocation.\n\n## Frozen output-stage transfer diagnostic completed — 2026-10-24T08:57:05.640638+00:00\n\nmps_finish_transfer_diagnostic session87435 DONE, 0.890176s, usingonlyalreadycompletedownhazard8/16/32same520traininglabels/rawcomponents. No newrows/contractions/validation/fitting/modelchoice. Fixedvariantsparent,existingfinish,rawcomp0/comp1,equalrawmean,float32mean(rawmean,parent), all26/bases/strata/nonr1. Z/r1rawmeanBITWISEoriginalfinish. Plotfinish_comparison.png VIEWED. ReportSHA6f40d2932ed8b9ad0779b36bb6a9217e03601dd88d4410f14ce8865b9e7e2100.\n\nXnonr1240parent95errors. Rank8: finish100/rawmean100/comp0=100/comp1=97/rawmean-parent105. Rank16: finish96/rawmean98/comp0=105/comp1=95/rawmean-parent98. Rank32: finish100/rawmean98/comp0=102/comp1=95/rawmean-parent97. Znonr1raw=finish103/101/96for8/16/32vsparent102. All520rank32rawmean210/rawmean-parent210/comp1(globalXexpert1+Zsole)=207vsfinish212,parent211; rank16rawmean215vsfinish213. Outputstagechangesare small andinconsistent: Xrank16corrects7introduces5 vsrawmean, rank32corrects2introduces4; raw->finishqmax.01409/.01369,medianabout.000954. NLLfinishvsrawmeanroughlyidentical. No bypassorcomponentselected; noPestimate.\n\nVerifiedpublishedXexpert0andexpert1bothw1shape(394,64), gatew1(45,32), weights/pretrained-axial1-parent-X-0.npz. Thus doNOTclaimexpert1hasextraendpointfeatures; bothcurrentexperts shareinputdimension. Secondexperttrainingaccuracyadvantageisdescriptive anddoesnotestablish generalization.\n\n## CPU integration passed, GPU sources frozen; zero32 complete; correlated LIVE — 2026-10-24T09:06:41.239422+00:00\n\nBatchedCPUcontinuation181056/181969/session98166 DONE09:04:26.024418. All18nativeCPUintegrationcasespassed; q/coresreverse/single/outer64BITWISE. Maxqdiffvsnative64=1.9843456521173586e-5,vsfused32=6.501290505911417e-5; lastZ25rank32took585.246058s. Neuralstage3073.651142s; all3width26offlineGPUkernelscompiledthrough09:04:25.573506, totalreport3082.944894s. Warps4/8/8; sharedbytes4096/16384/51200. NoCUDAexecution. RootreportSHAb8f27e6f854c0ec80e7b71cd9daff9e267c56545dd88b7c1dc6ac46d8f5e2f99. Continuationactual3085.255869s +original1200.064513=4285.320384s charged; cap4800maintained. DoNOTrestartthesecompletedowners.\n\nDeferredGPUowner186069/session17208 automaticallyranprepareandfroze09:04:36.466634.18sourcepinsSHAc5d89acfd7545f70e03a46e0010bb4dc54d6d879659eabb3dfa84fbee3597b6e,95inputpinsSHAc2f1a9c05a79f10e4cc470405838bc5aecc0b22e60dce4a32b08dad88d84ba6c.24label-freerawJSON=36fullcomponents,36prefixrefs; CPU_READYpassed. ALLOCATION09:04:36.549994 commitsoriginal1800futureGPUcap AFTEReexisting signedscientific166778, requirestandaloneSVDGPUproofpassed. Statuswaiting signedscientificterminal; RESOURCE_RELEASE DOESNOTexist. SoleGPUprocessstill184118globalMF. No edits toprototype/prepare/sourcepins; no manuallypreparedduplicate.\n\nZero-delta32 controller185425/child185726/session59948 DONE09:04:58.886544,1673.054122s. All520valid,480newnonr1contractions+40r1reuse. ReportSHAd5dababec4bde3e2ce419752c1cc60bae26d4b213c889bf8cf216399987034a4. All520: parent211,learned212,newzero212,fixedparentmean209,rawdirect211. Nonr1480: parent197,learned196,newzero196,mean193,rawdirect195. Xnonr1240:parent95,learned100,zero93,zero/parentmean93,rawdirect92. Znonr1:parent102,learned96,zero103,mean100. ZeroNLL.6445569093 vsparent.6338603082 (learned.6289176262); worsensbothbases. Learned->zero86decisionchanges43corrected43introduced; qabsmedian.0321166962,p90.1181408167,p99.2104884695,max.318343699. No modelselected/validation/Pestimate. Observer185655/session34162 DONE; diagnostics/mps_zero_delta32_20261024 plotVIEWED. SummarySHA57fd3cb42288f3cdf2c2295fb3085d51c8742e05b8bca03c8969a51287ef838f.\n\nPairedcorrelated study185624/session95163 releasedafterzeroend. Preparationpassed1.700583s/all26/oldhazarddelta reconstructionEXACT0. Probechild186396 began09:05:07.886461,12CPUworkers13..24,7200wholecap;1200newnonr1contractions plus40r1rawreuse bothvariants. Fixedsourcee486d19a11c291536e31524bc83bf08e5cda23d691a22f64bc18622211a514b6 unchanged. SAMEgroupedorder/rank16 exactfactor vszero; allbeforelabels. NoGPU/modelselection.\n\n## NEW fixed CPU validation candidate LIVE 2026-10-24T09:16:42.304582+00:00\n\n`mps_cpu_confidence_refinement` owner186766/child186767/session19264;4workersCPUs3..6,7200cap.514gatedd5nonr1validationrows;pureoriginalfullDEMrank16/F64/floor1e-12/checkedgesvdfallback,gate.00025,fixedhalfmean,parentfallbackoninvalid;all130retained. Onecandidate+incumbentonly, no rank/gate/blend menu. SourceSHA50fc5a1cc3ff86063be11d7c327b93b636f6598eb24707f98cf8a605fe521092,INPUTSSHA5cacbd04963dcee346eae674aeec39a706f7d185115bf765b9d760e7cea631f3. Eightforward/reversecontractions on4oldtrainingfixtures matchedraw16 BITWISE;controls3.999s. Allnewrawcontractionscompletebeforelabels. `evaluate.py` scoresall130onlyafterallraw. CachedparentvalidationforCPUdevelopmentonly; selfcontainedpackagewrapperrecomputesparentwithGPU+18CPUworkersinactualreplay (pending). PreservepublishedCURRENT untilactualfullreplayimprovement andruntime/readonlyrelocation/arbitraryIDs/N/order/subsets. NoGPUqueuechanged. Additionalpreproposalunregisteredtraininginspectiontruthfullyrecorded: rawrank16Xnonr195,parent95;Z99,parent102. Frozenruntime/sourcesmustnotedit;finalpublicationmetadatawillusecopy.\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_3","type":"command_execution","command":"/bin/sh -lc 'cat /workspace/contract.md\ncat /workspace/research/publish.py'","aggregated_output":"# Runtime and evaluation contract\n\nThe development container mounts only the `development/` HF role, under `/workspace/data`.\nIts 130 conditions contain physically separate train and validation arrays,\nideal circuits, and the published `pij_from_even_for_odd.dem` calibration model.\nNo full 50,000-shot raw files, odd-fit DEMs, raw measurement/sweep records,\nhistorical decoder predictions, or test labels are in this role. No trained\nweights are shipped: `reference/` holds the reference AlphaQubit's results\n(per-shot validation predictions, validation metrics, aggregate test score and\ntraining cost) and a weightless submission template. Every submitted model is\ntrained from random initialization in the session. Synthetic draws are generated online.\n\nThere is no network during development. Final inference receives one GPU for at most one hour, with no\nnetwork and no package installation. The trusted grader, a separate CPU service, never runs submitted code.\n\n## Artifact\n\n`/workspace/submission` may be read at any moment, so replace it as a whole: assemble the new\npackage elsewhere and swap it in with one rename (`python -m qecbench.package ... --output\n/workspace/submission` does this). It must include:\n\n- `infer.sh`, invoked as `bash infer.sh INPUT_ROOT OUTPUT_ROOT`;\n- `README.md`, `requirements.lock`, and ordinary relative source files;\n- `model_manifest.json` with schema `surface-code-decoding-model/v1`, a nonempty\n  `checkpoints` list (`path`, `sha256`, `format`), and relative `model_config` and\n  `training_provenance` JSON paths;\n- a JSON object describing the architecture/configuration and a truthful JSON\n  provenance object describing initial weights, training data and selection;\n- serialized learned parameters or decoder state. The package limit is 50 GiB.\n\nNo symlinks are accepted (hard links are fine: the verifier scores a copy). The trusted supervisor verifies declared\ncheckpoint hashes, copies the submitted tree into an immutable relocated\nsnapshot, and launches inference as UID 10001 with no new privileges. The model\ncan write its output and temporary files. Submitted code never runs in the\ntrusted grader. Dependencies must already be in the pinned runtime; the verifier\ndoes not execute installation requests from `requirements.lock`.\n\n## Input and output\n\nThe input manifest schema is `surface-code-decoding-input/v1`. Each listed\ncondition gives `name`, `group`, `distance`, `basis`, `rounds`, `shots`,\n`num_detectors`, `arrays`, `arrays_sha256`, `circuit`, and `circuit_sha256`.\nCanonical names are `surface_code_bX_d3_r01_center_3_5`, etc. Conditions and shots\nmay be reordered; any supported subset and positive N are valid inference\ninputs. Official scoring requires all 130 conditions. NPZs contain only unique\nuint64 sample IDs and packed uint8 detection events, with unused high bits zero.\n\nOutput files are `<condition-name>.npz` with exactly uint64 `sample_ids` and\nfloat32 `probabilities`, both shape `[N]`. IDs are aligned by value, not row\nposition. NaNs, infinities, out-of-range values, duplicate/unknown/missing IDs,\nmissing files, incompatible dtypes, oversized archives, unsafe links, encrypted\nZIPs, and malformed NumPy headers are invalid predictions. Numeric NumPy v1/v2\narrays, stored or deflate ZIP encoding, are accepted. Pickle is forbidden.\n\nThe label meaning is `official_path_observable_flip`. Feature reconstruction\nuses hard detection events and the ideal circuit; analogue readout, leakage,\nand raw final-data parity are not part of this release.\n\n## Isolation and reward\n\n`tests/docker-compose.yaml` has two network-disabled services:\n\n1. `main` sees the relocated submission and `verifier/` inputs only, plus a\n   root-protected sealing volume. It runs the submitted program as UID 10001,\n   kills surviving child processes, and seals regular prediction files.\n2. `grader` sees `verifier/` inputs, `grader/` labels and sealed outputs, but no\n   submitted source or development workspace. Its trusted fixed code checks\n   input/snapshot/label checksums and computes the score.\n\nA unique run token ties the sealed snapshot to the result. Root-protected result\npaths prevent model-written `reward.json` from being accepted. Invalid model\nartifacts, timeout, nonzero inference exit, or malformed predictions emit score\n0 with `model_quality_measured=false`. Missing/corrupt mounted datasets, invalid\ntrusted calibration, network-isolation failure, snapshot corruption, and other\ninfrastructure errors remove reward files and emit `infrastructure_error`.\nInference is limited to 3600 seconds.\n\nOnly the trusted Git/Docker verifier's scorer and `score_config.json` define the\nofficial result. A scorer copy inside a submission or the development release\nis non-authoritative and is never imported by the trusted grader.\n\n`score_config.json` fixes the anchors and version. P is one minus equal-distance,\nequal-group, equal-duration failure, with a decision threshold of 0.5. Normalized\nscore = max((P-L)/(U-L),0) with no upper clip, L=0.7160463461538461 (MWPM), U=0.7615159615384615\n(released TN rescored on identical shots). This upper anchor is not a newly\nreimplemented TN decoder and is not an assertion of current literature SOTA.\nRaw P, raw failure, unclipped score, fit-based scientific metrics and calibration\nremain in `report.json`; `reward.json` contains only `{\"reward\": P}` (raw P; the normalized score is a\nreport diagnostic). Poor valid\nmodels can lack a valid log-fidelity LER fit without losing their primary score.\n\nThe public historical Sycamore source prevents strong secrecy claims. Runtime\nrole isolation protects this run from direct answer access; it does not eliminate\nprior memorization or establish prospective scientific generalization.\n\"\"\"Validate a complete generic model package, then replace submission atomically.\"\"\"\nfrom pathlib import Path\nimport sys, os, shutil, json, hashlib, ctypes\nsource, final = map(lambda s: Path(s).resolve(), sys.argv[1:3])\nstage = final.parent / f'.{final.name}.staging-{os.getpid()}'\nshutil.copytree(source, stage, ignore=shutil.ignore_patterns('__pycache__'))\nrequired = ['infer.sh','README.md','model_manifest.json','model_config.json','training_provenance.json','requirements.lock']\nfor name in required:\n    assert (stage/name).is_file(), name\nfor p in stage.rglob('*'):\n    assert not p.is_symlink(), p\nmanifest = json.loads((stage/'model_manifest.json').read_text())\nassert manifest['schema']=='surface-code-decoding-model/v1' and manifest['checkpoints']\nfor row in manifest['checkpoints']:\n    p = stage/row['path']\n    assert p.resolve().is_relative_to(stage)\n    assert hashlib.sha256(p.read_bytes()).hexdigest()==row['sha256'], p\nif final.exists():\n    libc = ctypes.CDLL(None, use_errno=True)\n    status = libc.renameat2(-100, os.fsencode(stage), -100, os.fsencode(final), 2)\n    if status:\n        raise OSError(ctypes.get_errno(), 'atomic directory exchange failed')\n    shutil.rmtree(stage)\nelse:\n    os.replace(stage, final)\nprint(f'Published complete package to {final}', flush=True)\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_2","type":"command_execution","command":"/bin/sh -lc \"python - <<'PY'\nfrom pathlib import Path\nimport json\nW=Path('/workspace/research')\nfor root in ['d5_global_mean_transfer','mps_cpu_confidence_refinement','context_upgrades/cq_runtime_pruned1','operations/tensor_priority_after_global1']:\n p=W/root;print('ROOT',root)\n for name in ['queue_status.json','FINISHED.json','finished.json','REPLAY_FINISHED.json','EVALUATED.json','status.json']:\n  if (p/name).is_file():\n   x=json.loads((p/name).read_text());print(name,json.dumps(x)[:4500])\n if (p/'score.json').is_file():\n  x=json.loads((p/'score.json').read_text());print('score',x.get('performance'),x.get('status'))\nprint('SUBMISSION',Path('/workspace/submission').exists())\nPY\"","aggregated_output":"ROOT d5_global_mean_transfer\nqueue_status.json {\"status\": \"running run_study.py\", \"created_utc\": \"2026-10-24T07:56:35.800249+00:00\", \"test_data_used\": false, \"updated_utc\": \"2026-10-24T08:16:54.127943+00:00\"}\nROOT mps_cpu_confidence_refinement\nqueue_status.json {\"status\": \"running fixed CPU validation; GPU untouched\", \"utc\": \"2026-10-24T09:16:04.289462+00:00\", \"controller_pid\": 186766, \"child_pid\": 186767, \"cap_seconds\": 7200}\nROOT context_upgrades/cq_runtime_pruned1\nfinished.json {\"complete\": true, \"published\": true, \"performance\": 0.7678269606370192, \"runtime_only\": true, \"utc\": \"2026-10-24T05:10:31.761662+00:00\"}\nscore 0.7678269606370192 valid\nROOT operations/tensor_priority_after_global1\nSUBMISSION True\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_5","type":"command_execution","command":"/bin/sh -lc \"python - <<'PY'\nfrom pathlib import Path\nimport json\nW=Path('/workspace/research');records=[]\nfor p in (W/'context_upgrades').glob('*/finished.json'):\n x=json.loads(p.read_text());score=p.parent/'score.json'\n if score.exists():\n  s=json.loads(score.read_text());records.append((s.get('performance',-1),p.parent.name,bool(x.get('published')),x.get('complete',x.get('status'))))\nfor row in sorted(records,reverse=True)[:12]:print(row)\ncurrent=json.loads((W/'CURRENT.json').read_text());P=Path(current['package']);prov=json.loads((P/'training_provenance.json').read_text())\nprint('recorded validation',json.dumps(prov['package_validation'])[:6500]);print('runtime projection',json.dumps(prov['runtime_projection']))\nprint('infer', (P/'infer.sh').read_text());print('manifest_sha256',__import__('hashlib').sha256((P/'model_manifest.json').read_bytes()).hexdigest())\nPY\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_5","type":"command_execution","command":"/bin/sh -lc \"python - <<'PY'\nfrom pathlib import Path\nimport json\nW=Path('/workspace/research');records=[]\nfor p in (W/'context_upgrades').glob('*/finished.json'):\n x=json.loads(p.read_text());score=p.parent/'score.json'\n if score.exists():\n  s=json.loads(score.read_text());records.append((s.get('performance',-1),p.parent.name,bool(x.get('published')),x.get('complete',x.get('status'))))\nfor row in sorted(records,reverse=True)[:12]:print(row)\ncurrent=json.loads((W/'CURRENT.json').read_text());P=Path(current['package']);prov=json.loads((P/'training_provenance.json').read_text())\nprint('recorded validation',json.dumps(prov['package_validation'])[:6500]);print('runtime projection',json.dumps(prov['runtime_projection']))\nprint('infer', (P/'infer.sh').read_text());print('manifest_sha256',__import__('hashlib').sha256((P/'model_manifest.json').read_bytes()).hexdigest())\nPY\"","aggregated_output":"(0.7678269606370192, 'd5_boundary_basis_composition1', False, True)\n(0.7678269606370192, 'd3_fullbatch_specialist1', True, True)\n(0.7678269606370192, 'cq_runtime_pruned1', True, True)\n(0.7678203876201923, 'd3_r5_pattern1', False, True)\n(0.7678138146033654, 'd5_z_quality_composition1', True, True)\n(0.7677593524639423, 'd5_anchor_equal_ensemble1', False, True)\n(0.7677537184495192, 'd3_latent_readout1', True, True)\n(0.7677480844350961, 'conditional_edge_projection1', True, True)\n(0.767682354266827, 'd5_drift_likelihood_prior_lift1', False, True)\n(0.7676598182091346, 'd5_sitewise_joint_likelihood_prior_lift1', False, True)\n(0.767633526141827, 'd5_sitewise_likelihood_prior_lift1', False, True)\n(0.7676297701322116, 'd5_allsite_likelihood_prior_lift1', False, True)\nrecorded validation {\"performance\": 0.7678269606370192, \"failure_by_distance\": {\"d3\": 0.23970665564903845, \"d5\": 0.22463942307692308}, \"scorer\": \"Supplied qecbench.scoring on all130 validation conditions and665600shots\", \"prediction_generation\": \"Fresh actual infer.sh on all130 validation conditions and665600shots; all decisions equal to the retained scientific incumbent. Active Znon-r1CQ probabilities bitwise identical; other native differences recorded.\", \"runtime_evidence\": \"One actual all130 full-validation replay, partitioned by distance using its condition timings; no benchmark/test input accessed.\", \"d3_validation_runtime_seconds\": 41.64379406324588, \"d5_validation_runtime_seconds\": 396.7178795337677, \"all130_validation_runtime_seconds\": 438.3616735970136, \"contract_checks\": [{\"condition\": \"surface_code_bX_d3_r01_center_3_5\", \"shots\": 1, \"maximum_probability_difference\": 0.0}, {\"condition\": \"surface_code_bX_d3_r25_center_5_3\", \"shots\": 37, \"maximum_probability_difference\": 0.0}, {\"condition\": \"surface_code_bZ_d3_r13_center_5_7\", \"shots\": 1025, \"maximum_probability_difference\": 0.0}, {\"condition\": \"surface_code_bX_d5_r01_center_5_5\", \"shots\": 7, \"maximum_probability_difference\": 0.0}, {\"condition\": \"surface_code_bZ_d5_r09_center_5_5\", \"shots\": 257, \"maximum_probability_difference\": 0.0}, {\"condition\": \"surface_code_bX_d5_r25_center_5_5\", \"shots\": 17, \"maximum_probability_difference\": 0.0}], \"contract_execution\": {\"requested_verifier_uid\": 10001, \"effective_uid\": 1000, \"effective_gid\": 1000, \"supplementary_groups\": [], \"identity_status\": \"Development process is already unprivileged and cannot change UID; verifier UID10001 was not executed\", \"model_and_input_copy\": \"Owned by development UID 1000,directories0555,files0444,relocated under a fresh accessible temporary parent\", \"output_directory\": \"Owned by execution UID 1000,mode0700\", \"PYTHONPATH\": \"\", \"backend\": \"Runtime default; full selected subset cases\", \"scope\": \"Local contract check; not a Docker/network/mount-isolation test\"}}\nruntime projection {\"measured_full_validation_seconds_by_distance\": {\"d3\": 41.64379406324588, \"d5\": 396.7178795337677}, \"validation_shots_per_condition\": 5120, \"benchmark_shots_per_condition\": 25000, \"workload_source\": \"Supplied data/README.md declares 25000 benchmark rows per condition; no benchmark examples accessed\", \"linear_scale\": 4.8828125, \"projected_total_seconds\": 2140.437859360418, \"limit_seconds\": 3600, \"interpretation\": \"Projection from complete validation replays, scaling startup/compilation overhead as well as shot work. Retained-path timings are inherited; one-round categorical replacements only remove contractions. This is not a timed benchmark-split run.\"}\ninfer #!/bin/sh\nset -eu\nexport OPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1 XLA_PYTHON_CLIENT_PREALLOCATE=false\nROOT=\"$(CDPATH= cd -- \"$(dirname -- \"$0\")\" && pwd)\"\nexec python \"$ROOT/hybrid3.py\" \"$1\" \"$2\"\n\nmanifest_sha256 ff087e2a49dbab88432de4d9bf6c28b59a092fdc28e4276320475a58533da786\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_6","type":"agent_message","text":"The strongest completed candidate is `cq_runtime_pruned1`, with recorded validation **P = 0.7678269606** across all 130 conditions. Its full replay took 438 seconds and passed the recorded relocation and subset checks. I’m packaging that model unchanged; the later unfinished experiments will not be included.\n"}}
{"type":"item.started","item":{"id":"item_7","type":"command_execution","command":"/bin/sh -lc \"python - <<'PY'\nfrom pathlib import Path\nimport json,hashlib,shutil,datetime,ast,zipfile,importlib.metadata as md\nW=Path('/workspace/research');F=Path('/workspace/finalization');F.mkdir(exist_ok=True);current=json.loads((W/'CURRENT.json').read_text());source=Path(current['package']);target=F/'selected_package'\nassert not target.exists();shutil.copytree(source,target,ignore=shutil.ignore_patterns('__pycache__'))\nsha=lambda p:hashlib.sha256(Path(p).read_bytes()).hexdigest()\nread=lambda p:json.loads(Path(p).read_text())\nscore=read(current['score']);assert score['status']=='valid' and score['performance']==current['P'] and score['conditions']==130\nprovenance=read(target/'training_provenance.json');assert provenance['package_validation']['performance']==current['P']\nrecord=dict(utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),selected_candidate='cq_runtime_pruned1',selection_basis='Strongest fully replayed and contract-checked candidate in existing completed development results; equal-score runtime improvement retained.',validation_P=current['P'],validation_conditions=130,validation_shots=665600,source_model_manifest_sha256=sha(source/'model_manifest.json'),source_model_config_sha256=sha(source/'model_config.json'),source_score_sha256=sha(current['score']),measured_prior_full_validation_seconds=provenance['package_validation']['all130_validation_runtime_seconds'],runtime_projection_seconds=provenance['runtime_projection']['projected_total_seconds'],runtime_projection_scope='Existing projection from validation; not a timed test-split run.',submission_window_actions='Copying, documentation of final selection, and static packaging checks only. No training, inference, evaluations, simulations or hyperparameter search.',scientific_method_changed=False,weights_and_inference_code_changed=False,unfinished_experiments_included=False,test_data_used=False,released_per_shot_predictions_used=False)\nprovenance['final_submission_selection']=record\n(target/'training_provenance.json').write_text(json.dumps(provenance,indent=2)+'\\\\n');(target/'final_selection.json').write_text(json.dumps(record,indent=2)+'\\\\n')\nwith (target/'README.md').open('a') as f:f.write('\\\\nFinal submission retains the fully replayed cq_runtime_pruned1 model unchanged. Recorded validation P is 0.7678269606370192 over all130 conditions and665600shots. Finalization performed static packaging checks only; no new training or inference was run. See final_selection.json for the final selection record.\\\\n')\nrequired=['infer.sh','README.md','model_manifest.json','model_config.json','training_provenance.json','requirements.lock']\nfor name in required:assert (target/name).is_file(),name\nmanifest=read(target/'model_manifest.json');assert manifest['schema']=='surface-code-decoding-model/v1' and manifest['checkpoints']\nfor key in ['model_config','training_provenance']:\n rel=Path(manifest[key]);assert not rel.is_absolute() and '..' not in rel.parts and (target/rel).is_file();assert isinstance(read(target/rel),dict)\nfor item in manifest['checkpoints']:\n rel=Path(item['path']);assert not rel.is_absolute() and '..' not in rel.parts;assert sha(target/rel)==item['sha256'],str(rel)\nfiles=[p for p in target.rglob('*') if p.is_file()];assert not any(p.is_symlink() for p in target.rglob('*'));size=sum(p.stat().st_size for p in files);assert size<50*1024**3\n# Every original non-documentation file is preserved byte for byte.\nchanged=[]\nfor p in source.rglob('*'):\n if not p.is_file() or '__pycache__' in p.parts:continue\n rel=p.relative_to(source)\n if sha(p)\"'!=sha(target/rel):changed.append(str(rel))\nassert set(changed)=={'\"'README.md','training_provenance.json'},changed\nconfig=read(target/'model_config.json');assert len(config['conditions'])==130\nseen=set();todo=['hybrid3']\nwhile todo:\n name=todo.pop()\n if name in seen:continue\n seen.add(name);p=target/(name+'.py');assert p.is_file(),name\n text=p.read_text();assert '/workspace/' not in text and '/run-state/' not in text,p\n for node in ast.walk(ast.parse(text)):\n  names=[a.name.split('.')[0] for a in node.names] if isinstance(node,ast.Import) else ([node.module.split('.')[0]] if isinstance(node,ast.ImportFrom) and node.module else [])\n  todo.extend(n for n in names if (target/(n+'.py')).is_file())\ndef check_paths(x):\n if isinstance(x,dict):\n  for v in x.values():check_paths(v)\n elif isinstance(x,list):\n  for v in x:check_paths(v)\n elif isinstance(x,str) and x.endswith(('.npz','.npy','.json','.stim','.dem')) and not any(c.isspace() for c in x):\n  rel=Path(x);assert not rel.is_absolute() and '..' not in rel.parts and (target/rel).is_file(),x\ncheck_paths(config)\nnpz_count=0\nfor p in files:\n if p.suffix=='.npz':\n  with zipfile.ZipFile(p) as z:members=set(z.namelist())\n  assert not {'sample_ids.npy','probabilities.npy'}.issubset(members),p\n  npz_count+=1\nversions=[]\nfor line in (target/'requirements.lock').read_text().splitlines():\n if not line.strip() or line.startswith('#'):continue\n name,version=line.split('==');actual=md.version(name);assert actual==version,(name,actual,version);versions.append(dict(name=name,version=actual))\naudit=dict(status='passed_static_packaging_checks',utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),files=len(files),bytes=size,checkpoints=len(manifest['checkpoints']),runtime_modules=len(seen),npz_archives_checked_for_prediction_pair=npz_count,dependency_versions_checked=len(versions),original_files_changed=changed,weights_config_and_inference_code_unchanged=True,manifest_sha256=sha(target/'model_manifest.json'),no_symlinks=True,no_inference_or_evaluation_run=True,validation_P=current['P'])\n(F/'static_audit.json').write_text(json.dumps(audit,indent=2)+'\\\\n')\n(F/'expected_file_hashes.json').write_text(json.dumps({str(p.relative_to(target)):sha(p) for p in files},indent=2)+'\\\\n')\nprint(json.dumps(audit))\nPY\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_7","type":"command_execution","command":"/bin/sh -lc \"python - <<'PY'\nfrom pathlib import Path\nimport json,hashlib,shutil,datetime,ast,zipfile,importlib.metadata as md\nW=Path('/workspace/research');F=Path('/workspace/finalization');F.mkdir(exist_ok=True);current=json.loads((W/'CURRENT.json').read_text());source=Path(current['package']);target=F/'selected_package'\nassert not target.exists();shutil.copytree(source,target,ignore=shutil.ignore_patterns('__pycache__'))\nsha=lambda p:hashlib.sha256(Path(p).read_bytes()).hexdigest()\nread=lambda p:json.loads(Path(p).read_text())\nscore=read(current['score']);assert score['status']=='valid' and score['performance']==current['P'] and score['conditions']==130\nprovenance=read(target/'training_provenance.json');assert provenance['package_validation']['performance']==current['P']\nrecord=dict(utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),selected_candidate='cq_runtime_pruned1',selection_basis='Strongest fully replayed and contract-checked candidate in existing completed development results; equal-score runtime improvement retained.',validation_P=current['P'],validation_conditions=130,validation_shots=665600,source_model_manifest_sha256=sha(source/'model_manifest.json'),source_model_config_sha256=sha(source/'model_config.json'),source_score_sha256=sha(current['score']),measured_prior_full_validation_seconds=provenance['package_validation']['all130_validation_runtime_seconds'],runtime_projection_seconds=provenance['runtime_projection']['projected_total_seconds'],runtime_projection_scope='Existing projection from validation; not a timed test-split run.',submission_window_actions='Copying, documentation of final selection, and static packaging checks only. No training, inference, evaluations, simulations or hyperparameter search.',scientific_method_changed=False,weights_and_inference_code_changed=False,unfinished_experiments_included=False,test_data_used=False,released_per_shot_predictions_used=False)\nprovenance['final_submission_selection']=record\n(target/'training_provenance.json').write_text(json.dumps(provenance,indent=2)+'\\\\n');(target/'final_selection.json').write_text(json.dumps(record,indent=2)+'\\\\n')\nwith (target/'README.md').open('a') as f:f.write('\\\\nFinal submission retains the fully replayed cq_runtime_pruned1 model unchanged. Recorded validation P is 0.7678269606370192 over all130 conditions and665600shots. Finalization performed static packaging checks only; no new training or inference was run. See final_selection.json for the final selection record.\\\\n')\nrequired=['infer.sh','README.md','model_manifest.json','model_config.json','training_provenance.json','requirements.lock']\nfor name in required:assert (target/name).is_file(),name\nmanifest=read(target/'model_manifest.json');assert manifest['schema']=='surface-code-decoding-model/v1' and manifest['checkpoints']\nfor key in ['model_config','training_provenance']:\n rel=Path(manifest[key]);assert not rel.is_absolute() and '..' not in rel.parts and (target/rel).is_file();assert isinstance(read(target/rel),dict)\nfor item in manifest['checkpoints']:\n rel=Path(item['path']);assert not rel.is_absolute() and '..' not in rel.parts;assert sha(target/rel)==item['sha256'],str(rel)\nfiles=[p for p in target.rglob('*') if p.is_file()];assert not any(p.is_symlink() for p in target.rglob('*'));size=sum(p.stat().st_size for p in files);assert size<50*1024**3\n# Every original non-documentation file is preserved byte for byte.\nchanged=[]\nfor p in source.rglob('*'):\n if not p.is_file() or '__pycache__' in p.parts:continue\n rel=p.relative_to(source)\n if sha(p)\"'!=sha(target/rel):changed.append(str(rel))\nassert set(changed)=={'\"'README.md','training_provenance.json'},changed\nconfig=read(target/'model_config.json');assert len(config['conditions'])==130\nseen=set();todo=['hybrid3']\nwhile todo:\n name=todo.pop()\n if name in seen:continue\n seen.add(name);p=target/(name+'.py');assert p.is_file(),name\n text=p.read_text();assert '/workspace/' not in text and '/run-state/' not in text,p\n for node in ast.walk(ast.parse(text)):\n  names=[a.name.split('.')[0] for a in node.names] if isinstance(node,ast.Import) else ([node.module.split('.')[0]] if isinstance(node,ast.ImportFrom) and node.module else [])\n  todo.extend(n for n in names if (target/(n+'.py')).is_file())\ndef check_paths(x):\n if isinstance(x,dict):\n  for v in x.values():check_paths(v)\n elif isinstance(x,list):\n  for v in x:check_paths(v)\n elif isinstance(x,str) and x.endswith(('.npz','.npy','.json','.stim','.dem')) and not any(c.isspace() for c in x):\n  rel=Path(x);assert not rel.is_absolute() and '..' not in rel.parts and (target/rel).is_file(),x\ncheck_paths(config)\nnpz_count=0\nfor p in files:\n if p.suffix=='.npz':\n  with zipfile.ZipFile(p) as z:members=set(z.namelist())\n  assert not {'sample_ids.npy','probabilities.npy'}.issubset(members),p\n  npz_count+=1\nversions=[]\nfor line in (target/'requirements.lock').read_text().splitlines():\n if not line.strip() or line.startswith('#'):continue\n name,version=line.split('==');actual=md.version(name);assert actual==version,(name,actual,version);versions.append(dict(name=name,version=actual))\naudit=dict(status='passed_static_packaging_checks',utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),files=len(files),bytes=size,checkpoints=len(manifest['checkpoints']),runtime_modules=len(seen),npz_archives_checked_for_prediction_pair=npz_count,dependency_versions_checked=len(versions),original_files_changed=changed,weights_config_and_inference_code_unchanged=True,manifest_sha256=sha(target/'model_manifest.json'),no_symlinks=True,no_inference_or_evaluation_run=True,validation_P=current['P'])\n(F/'static_audit.json').write_text(json.dumps(audit,indent=2)+'\\\\n')\n(F/'expected_file_hashes.json').write_text(json.dumps({str(p.relative_to(target)):sha(p) for p in files},indent=2)+'\\\\n')\nprint(json.dumps(audit))\nPY\"","aggregated_output":"{\"status\": \"passed_static_packaging_checks\", \"utc\": \"2026-10-25T06:31:56.412863+00:00\", \"files\": 1198, \"bytes\": 244077329, \"checkpoints\": 734, \"runtime_modules\": 82, \"npz_archives_checked_for_prediction_pair\": 602, \"dependency_versions_checked\": 46, \"original_files_changed\": [\"README.md\", \"training_provenance.json\"], \"weights_config_and_inference_code_unchanged\": true, \"manifest_sha256\": \"ff087e2a49dbab88432de4d9bf6c28b59a092fdc28e4276320475a58533da786\", \"no_symlinks\": true, \"no_inference_or_evaluation_run\": true, \"validation_P\": 0.7678269606370192}\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_8","type":"command_execution","command":"/bin/sh -lc \"python /workspace/research/publish.py /workspace/finalization/selected_package /workspace/submission\npython - <<'PY'\nfrom pathlib import Path\nimport json,hashlib,datetime\nF=Path('/workspace/finalization');S=Path('/workspace/submission');expected=json.loads((F/'expected_file_hashes.json').read_text());actual={str(p.relative_to(S)):hashlib.sha256(p.read_bytes()).hexdigest() for p in S.rglob('*') if p.is_file()}\nassert actual==expected\nassert not any(p.is_symlink() for p in S.rglob('*'))\nresult=dict(status='published_and_statically_verified',utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),submission=str(S),files=len(actual),model_manifest_sha256=actual['model_manifest.json'],recorded_validation_P=0.7678269606370192,new_inference_or_evaluation_run=False)\n(F/'publication_receipt.json').write_text(json.dumps(result,indent=2)+'\\\\n');print(json.dumps(result))\nPY\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_8","type":"command_execution","command":"/bin/sh -lc \"python /workspace/research/publish.py /workspace/finalization/selected_package /workspace/submission\npython - <<'PY'\nfrom pathlib import Path\nimport json,hashlib,datetime\nF=Path('/workspace/finalization');S=Path('/workspace/submission');expected=json.loads((F/'expected_file_hashes.json').read_text());actual={str(p.relative_to(S)):hashlib.sha256(p.read_bytes()).hexdigest() for p in S.rglob('*') if p.is_file()}\nassert actual==expected\nassert not any(p.is_symlink() for p in S.rglob('*'))\nresult=dict(status='published_and_statically_verified',utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),submission=str(S),files=len(actual),model_manifest_sha256=actual['model_manifest.json'],recorded_validation_P=0.7678269606370192,new_inference_or_evaluation_run=False)\n(F/'publication_receipt.json').write_text(json.dumps(result,indent=2)+'\\\\n');print(json.dumps(result))\nPY\"","aggregated_output":"Published complete package to /workspace/submission\n{\"status\": \"published_and_statically_verified\", \"utc\": \"2026-10-25T06:32:10.650594+00:00\", \"submission\": \"/workspace/submission\", \"files\": 1198, \"model_manifest_sha256\": \"ff087e2a49dbab88432de4d9bf6c28b59a092fdc28e4276320475a58533da786\", \"recorded_validation_P\": 0.7678269606370192, \"new_inference_or_evaluation_run\": false}\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_9","type":"agent_message","text":"Published the complete portable package to `/workspace/submission`.\n\nRecorded validation **P = 0.7678269606** across all 130 conditions. Weights and inference code are unchanged. Static file, checkpoint-hash, and dependency checks passed. No new experiments were run."}}
{"type":"turn.completed","usage":{"input_tokens":896932440,"cached_input_tokens":874207080,"cache_write_input_tokens":22224438,"output_tokens":7173916,"reasoning_output_tokens":3575701}}