Abstract
When an agent harness upgrades its worker model, the new model starts from a memory built from its predecessor’s work. ACE grows such memory as a playbook from an agent’s own trajectories and lists sharing it across models among its advantages. Evolving to Match Capabilities (arXiv 2610.33024) reports that human-crafted skills lift a frontier model by 31.1 points and cost the weakest model 8.8. On KernelBench, weak-to-strong memory transfer is negative. In the first randomized, replicated test of memory carried across a model upgrade, 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). It raised Opus 4.8’s by 0.256. A confirmation on 28 problems outside calibration reproduced both signs. Six ways of serving the store, compared head to head, also left Opus 5.5 below its unaided level, and so did its own decision to read the store. Shown the store, Opus 5.5 gives up its own CUDA C++ kernels for its predecessor’s library-plus-Triton designs. Predecessor anchoring is a stronger reader’s move onto a weaker writer’s approach, with the loss that follows. The same store holds GPT-6 Astra below an information-free control. The store’s effect splits exactly into a within-approach term and an adoption term, the shift toward the stored approach times the gap between that approach and the reader’s own. That gap depends on the reader and the problem it faces, and a certificate on an item’s source problem cannot fix the sign of the item’s effect for a new reader. Six evaluator-verified technique cards, each stating a technique and when it applies, carry an approach above the reader’s own. On 26 KernelBench problems they lifted ACE’s own playbook from 1.95× to 3.29× mean capped speedup. With them the store reached 3.67× on 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://qwntl.com/paper-predecessor-anchoring}
}