Abstract
ACE grows playbooks from an agent’s own trajectories, and Evolving to Match Capabilities (arXiv 2610.33024) reports human-crafted skills lifting a frontier model by 31.1 points and costing the weakest 8.8, so memory should pay when a stronger model takes it over. Weak-to-strong memory transfer runs the other way, and on KernelBench it is negative. In a randomized test, a store built from Claude Opus 4.8’s verified kernel work lowered Claude Opus 5.5’s log speedup by 0.103 (95% CI 0.048–0.163; 92 problems, 1,288 episodes) and raised Opus 4.8’s by 0.256, and 28 problems outside calibration reproduced both signs. Every filter, selector, annotation, and self-gate also left Opus 5.5 below its unaided level, its own decision to read the store among them. We name the effect predecessor anchoring and decompose it: the store’s effect is an adoption shift times the gap between the stored approach and the reader’s own, plus a within-approach term, so a certificate on an item’s source problem cannot fix its sign for a new reader. Shown the store, Opus 5.5 trades its own CUDA C++ kernels for its predecessor’s library-plus-Triton designs; the same store holds GPT-6 Astra below an information-free control. We introduce evaluator-verified technique cards, which carry an approach above the reader: on 26 KernelBench problems six cards lifted ACE’s own playbook from 1.95× to 3.29× mean capped speedup and the store to 3.67×, with 10% of ACE’s input tokens.
Code and data
Stores as served and technique cards
kproof-contexts.tar.xz tar.xz · 121 KB · 242 files
Hour-36 store as served, the six cards and the other technique-library arm contexts: contexts/ and contexts_k1b/. ACE's playbook (ace/, aceseed/, aceKF/) is abridged and one parenthetical is removed from the seed card's text, so 106 context files differ from the hashes listed in the two context manifests.
sha256c152621afafde420b9c9378bfa0fb8e3c598da5ccb68756272fcb26bf482ddc0Member list (242 files)
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uplift/kernel/bank_kernel_H024.jsonHour-24 kernel store: every item with its kind, source problem and measured speedup111 KBuplift/kernel/storectx_H024.jsonHour-24 store as rendered for each of 120 problems (the text the reader saw)1.4 MBuplift/kernel/armctx_H024.jsonHour-24 frozen arm contexts (ACE, Mem0, living, living:rC) per reader and problem; ACE's playbook and Mem0's memories abridged8.8 MBkproof/contexts/manifest.jsonHour-36 contexts: sha256 per arm and problem for the technique-library test, as preregistered except for one scratch path; the hosted ACE contexts and the store-plus-seed-card contexts are abridged and differ from their listed hashes40 KBkproof/contexts_k1b/manifest.jsonHour-36 contexts for the two amendment arms (ACE + cards, five cards), as preregistered; the hosted ACE + cards contexts are abridged and differ from their listed hashes8.5 KBkproof/results/hidden_H036.jsonWhat the provenance rule withheld from the hour-36 store, per problem10 KBdomains/kernel/kforge_cards.jsonThe six technique cards: text, routing patterns, verified example kernels and search record (authorship and internal paths removed)79 KBharm/kmech/ctx/armctx_v2.jsonCalibration contexts as served, per arm, reader and problem8.6 MBreversal/kernel/storectx_R.jsonHour-24 store as rendered for the 21 cross-vendor problems486 KB
Task prompt
domains/kernel/agent.pyAgent loop with the task system prompt and local-check feedback printed in Appendix A.315 KB
Protected evaluator and attack suite (verifiers)
domains/kernel/gpu/evaluator.pyProtected evaluator: sandbox, trusted reference process, strict-fp32 check, guarded timing (code as run with internal identifiers renamed and host paths removed; computes fingerprint 58de1a4d04c4bb23, the runs used fa88aae56eab8b0e)32 KBdomains/kernel/gpu/worker.pyEvaluator worker: candidate process, correctness, input-mutation and profiler checks (fingerprinted; internal identifiers renamed in this copy)13 KBdomains/kernel/gpu/static_check.pyStatic gate and checker rules the agent's lessons quote (fingerprinted)12 KBdomains/kernel/gpu/common.pyEvaluator shared helpers (fingerprinted)7.5 KBdomains/kernel/gpu/qualify.pyQualification driver: runs the 24 controls and prints qualified true/false6.7 KBdomains/kernel/problems/MANIFEST.sha256sha256 of the 250 vendored KernelBench problems (part of the fingerprint)27 KBdomains/kernel/problems/SOURCE.txtKernelBench upstream commit the problems were vendored from152 Bdomains/kernel/problems/LICENSE.KernelBenchKernelBench MIT licence, covering the problem manifest and the 142 KernelBench problem files quoted verbatim in the hour-24 store contexts1.1 KBdomains/kernel/splits.jsonProbe/learn split and the 120 excluded problems with reasons11 KBdomains/kernel/make_splits.pyPreregistered validity rules that produced splits.json (harness package renamed in this copy)3.3 KBdomains/kernel/README.mdEvaluator, agent loop and task-domain description7.0 KBdomains/kernel/gpu/controls/neg_cache_late.pyAttack control (must fail): cache late1.8 KBdomains/kernel/gpu/controls/neg_cache_ptr.pyAttack control (must fail): cache ptr1.7 KBdomains/kernel/gpu/controls/neg_cache_shape.pyAttack control (must fail): cache shape1.7 KBdomains/kernel/gpu/controls/neg_file_read.pyAttack control (must fail): file read (host directory names replaced by placeholders)1.7 KBdomains/kernel/gpu/controls/neg_flags.pyAttack control (must fail): flags1.6 KBdomains/kernel/gpu/controls/neg_fp16.pyAttack control (must fail): fp161.6 KBdomains/kernel/gpu/controls/neg_hang.pyAttack control (must fail): hang1.1 KBdomains/kernel/gpu/controls/neg_input_mutation.pyAttack control (must fail): input mutation1.6 KBdomains/kernel/gpu/controls/neg_native_split.pyAttack control (must fail): native split1.4 KBdomains/kernel/gpu/controls/neg_null_noop.pyAttack control (must fail): null noop1.1 KBdomains/kernel/gpu/controls/neg_pycapi.pyAttack control (must fail): pycapi953 Bdomains/kernel/gpu/controls/neg_ref_only.pyAttack control (must fail): ref only1.6 KBdomains/kernel/gpu/controls/neg_result_reuse.pyAttack control (must fail): result reuse1.6 KBdomains/kernel/gpu/controls/neg_stream.pyAttack control (must fail): stream1.7 KBdomains/kernel/gpu/controls/neg_stream_runtime.pyAttack control (must fail): stream runtime1.3 KBdomains/kernel/gpu/controls/neg_threading.pyAttack control (must fail): threading1.6 KBdomains/kernel/gpu/controls/neg_timing_patch.pyAttack control (must fail): timing patch1.6 KBdomains/kernel/gpu/controls/neg_zero_out.pyAttack control (must fail): zero out1.6 KBdomains/kernel/gpu/controls/pos_cuda.pyLegitimate control kernel (must pass): cuda1.7 KBdomains/kernel/gpu/controls/pos_triton.pyLegitimate control kernel (must pass): triton1.0 KBdomains/kernel/evidence/qualify-4741b46d3cfae0f0.jsonQualification record of an earlier evaluator build (4741b46d3cfae0f0), 24/2418 KBdomains/kernel/evidence/qualify-950a9d7490de6de4.jsonQualification record of an earlier evaluator build (950a9d7490de6de4), 24/2418 KBuplift/kernel/evidence/qualify/vm-01/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 1 of 1018 KBuplift/kernel/evidence/qualify/vm-01/qualify-vm-01-20261009T040142Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 1 of 1018 KBuplift/kernel/evidence/qualify/vm-02/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 2 of 1018 KBuplift/kernel/evidence/qualify/vm-02/qualify-vm-02-20261009T040150Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 2 of 1018 KBuplift/kernel/evidence/qualify/vm-03/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 3 of 1018 KBuplift/kernel/evidence/qualify/vm-03/qualify-vm-03-20261009T071200Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 3 of 1018 KBuplift/kernel/evidence/qualify/vm-04/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 4 of 1018 KBuplift/kernel/evidence/qualify/vm-04/qualify-vm-04-20261009T020123Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 4 of 1018 KBuplift/kernel/evidence/qualify/vm-05/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 5 of 1018 KBuplift/kernel/evidence/qualify/vm-05/qualify-vm-05-20261009T020123Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 5 of 1018 KBuplift/kernel/evidence/qualify/vm-06/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 6 of 1018 KBuplift/kernel/evidence/qualify/vm-06/qualify-vm-06-20261009T071217Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 6 of 1018 KBuplift/kernel/evidence/qualify/vm-07/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 7 of 1018 KBuplift/kernel/evidence/qualify/vm-07/qualify-vm-07-20261009T040159Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 7 of 1018 KBuplift/kernel/evidence/qualify/vm-08/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 8 of 1018 KBuplift/kernel/evidence/qualify/vm-08/qualify-vm-08-20261009T020123Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 8 of 1018 KBuplift/kernel/evidence/qualify/vm-09/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 9 of 1018 KBuplift/kernel/evidence/qualify/vm-09/qualify-vm-09-20261009T020851Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 9 of 1018 KBuplift/kernel/evidence/qualify/vm-10/latest.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 10 of 1018 KBuplift/kernel/evidence/qualify/vm-10/qualify-vm-10-20261009T040209Z.jsonQualification record, evaluator fa88aae56eab8b0e, evaluator VM 10 of 1018 KB- KernelBench problems (upstream)ScalingIntelligence/KernelBench at commit 423217d9, MIT licence; MANIFEST.sha256 pins the bytes. 142 of the problem files appear verbatim in the hour-24 store contexts, under the LICENSE.KernelBench shipped with the verifiers.
Per-episode results (seven designs)
uplift/results/harm/h1.rows.jsonlRandomized test: 1,288 episodes (92 problems, Opus 5.5 and 4.8)657 KBforensics/data/h1_eps.jsonlRandomized test: per-episode evaluator report fields (backend, own-kernel share, timings)1.6 MBuplift/results/harm/h2.rows.jsonlConfirmation test: 1,120 episodes (28 problems, 5 arms)570 KBforensics/data/h2_eps.jsonlConfirmation test: per-episode evaluator report fields1.4 MBuplift/results/online_kernel/ok1.rows.jsonlHead-to-head test: 720 episodes (10 problems, 9 arms)470 KBforensics/data/ok1_eps.jsonlHead-to-head test: per-episode evaluator report fields924 KBhorizon/results/kernel_rows.jsonlStore-age test: 4,560 episodes, bare and frozen snapshots at hours 8 to 421.7 MBkproof/results/K1/rows.jsonlTechnique-library test: 624 episodes (26 problems, 8 arms)324 KBkproof/results/K1b/rows_aceKF.jsonlTechnique-library test: ACE + six cards arm, 78 episodes41 KBkproof/results/K1b/rows_livE5.jsonlTechnique-library test: store + five cards from search arm, 18 episodes9.4 KBreversal/kernel/results/runs_r1c/episodes.jsonlCross-vendor test: 630 Opus 5.5 and 4.8 episodes (internal paths renamed in compiler messages)298 KBreversal/kernel/results/runs_r1c/blocks.jsonlCross-vendor test: 105 Opus blocks (arms, kept code hashes; internal paths renamed in compiler messages)547 KBreversal/kernel/results/runs_ra/episodes.jsonlCross-vendor test: 252 GPT-6 Astra episodes108 KBreversal/kernel/results/runs_ra/blocks.jsonlCross-vendor test: 42 Astra blocks206 KBharm/kmech/results/f1.rows.jsonlCalibration run: 317 episodes (37 problems, 9 arms)264 KB
Result tables
uplift/results/online_kernel/ok1_vs_bare.txtTables 7 and 12: head-to-head arm contrasts and per-problem means5.4 KBuplift/results/harm/h2.txtTable 2 and Section 4: confirmation-test contrasts3.8 KBuplift/results/harm/h1_lifts.txtTable 2 and Section 4: randomized-test store lifts1.4 KBhorizon/results/kernel_curve.jsonStore-age figure: living store minus bare by hour8.9 KBkproof/results/summary.mdTable 10: technique-library arm means and contrasts25 KBkproof/results/analysis.txtTable 10: full technique-library analysis output34 KBreversal/kernel/results/runs_r1c/pooled_score.txtCross-vendor figure: Opus contrasts, capped speedup5.0 KBreversal/kernel/results/runs_r1c/pooled_log1p.txtCross-vendor: Opus contrasts, log speedup5.0 KBreversal/kernel/results/runs_ra/astra_score.txtCross-vendor figure: Astra contrasts, capped speedup2.4 KBreversal/kernel/results/runs_ra/astra_log1p.txtCross-vendor: Astra contrasts, log speedup2.4 KBpapers/frontier-report/evidence/recount_output.jsonTable 9: cross-experiment strength-gap recount15 KBanalysis-ax/cost_curve.csvTable 10 and cost figure: tokens and speedup per arm5.7 KBanalysis-ax/age_curve.csvStore-age curve with log columns11 KBanalysis-ax/taxonomy.csvTable 5: outcome classes by arm6.9 KBanalysis-ax/alt_explanations.jsonTable 3: alternative explanations7.7 KBanalysis-ax/kmech_ablation_B2000.jsonTable 8 as printed: calibration contrasts at 2,000 draws22 KBanalysis-ax/kmech_ablation_B2000.txtTable 8 as printed, text form3.9 KBanalysis-ax/trace_l2074.txtTable 4: the L2_074 episodes' structured fields5.0 KBforensics/xaudit/data/f7_xaudit.jsonTable 13: technology regression (CUDA share, token kernels) recomputation3.1 KBreversal/kernel/results/runs_r1c/blocks_analysis_score.jsonCross-vendor figure: per-problem Opus block means6.8 KBreversal/kernel/results/runs_ra/blocks_analysis_score.jsonCross-vendor figure: per-problem Astra block means3.4 KB
Cite
@misc{cumes2026weaktostrong,
title = {{Weak-to-Strong Memory Transfer Is Negative: Predecessor Anchoring in Frontier GPU-Kernel Agents}},
author = {Cumes, Lindell S.},
year = {2026},
url = {https://durableintel.com/paper-predecessor-anchoring}
}