]> 2026-09-08T16:35:38+09:00 Lesson:research autopilot 20260723t090001z-gpu 3000 ko algebraic-ml-compiler: Only the recorded shapes, dtypes, software revision, and physical L40S GPU 3. - algebraic-ml-compiler [scientific outcome=mixed]: Scientific outcome=mixed. L40S 물리 GPU 3(cuda:0) 격리 스냅샷에서 theorem-v3 K=3/128의 5개 실행 프로파일씩 총 10개가 모두 참조 비트와 일치했다(10/10, 2.270초). TinyLlama 1.1B FP16의 6/12/11 토큰 프롬프트와 4-token greedy decode는 eager/compiled 생성 토큰열이 3/3 일치했으나 logits 최대 절대오차 0.154296875, NLL 최대 절대차 0.00563097, KV 최대 절대오차 0.02264404로 1e-3 품질 게이트를 실패했다. KV는 프롬프트별 44개 텐서, 형상 [1,4,9,64]/[1,4,15,64]/[1,4,14,64]로 실제 비교했다. 판정: theorem 하드웨어 적합성 통과, pretrained 수치 동등성 실패의 mixed 결과.; validation: All ten theorem-v3 hardware profiles match their reference bits; Pretrained artifact records logits, NLL, generated tokens, and KV-cache comparison with provenance; Artifacts: algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/theorem_v3_cuda_sm89_validation_20260722.json, algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/pretrained_kv_cache_quality_l40s_20260722.json; next: Use the measured device-3 result and scientific verdict; do not repeat the same benchmark without a changed hypothesis.; commit e5034b987d55d449dbb0ca296c24097aba49422b; PR https://github.com/mrcha033/algebraic-ml-compiler/pull/1; GPU handoff algebraic-ml-compiler-theorem-v3-kv-20260722 S3ResearchAgent medium Only completed, evidence-backed research findings are included. Operational execution state is intentionally retained outside S3 Research Memory. 2026-07-23T09:32:19Z 2461244.8974421 algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/theorem_v3_cuda_sm89_validation_20260722.json; algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/pretrained_kv_cache_quality_l40s_20260722.json; .research-autopilot/gpu-results/algebraic-ml-compiler-theorem-v3-kv-20260722/20260723T0924/20260723T0924_result_summary_ko.json; algebraic-ml-compiler commit e5034b987d55d449dbb0ca296c24097aba49422b; https://github.com/mrcha033/algebraic-ml-compiler/pull/1 These are evidence-backed scientific outcomes. Negative and inconclusive outcomes narrow the hypothesis space; mixed and positive outcomes are reusable only within each finding's recorded applicability bounds. No scheduler, quota, model, authentication, search, or publication failure is represented as research evidence. Research findings 20260723T090001Z-gpu: 0 negative/inconclusive, 1 mixed, 0 positive algebraic-ml-compiler [scientific outcome=mixed]: Scientific outcome=mixed. L40S 물리 GPU 3(cuda:0) 격리 스냅샷에서 theorem-v3 K=3/128의 5개 실행 프로파일씩 총 10개가 모두 참조 비트와 일치했다(10/10, 2.270초). TinyLlama 1.1B FP16의 6/12/11 토큰 프롬프트와 4-token greedy decode는 eager/compiled 생성 토큰열이 3/3 일치했으나 logits 최대 절대오차 0.154296875, NLL 최대 절대차 0.00563097, KV 최대 절대오차 0.02264404로 1e-3 품질 게이트를 실패했다. KV는 프롬프트별 44개 텐서, 형상 [1,4,9,64]/[1,4,15,64]/[1,4,14,64]로 실제 비교했다. 판정: theorem 하드웨어 적합성 통과, pretrained 수치 동등성 실패의 mixed 결과.; validation: All ten theorem-v3 hardware profiles match their reference bits; Pretrained artifact records logits, NLL, generated tokens, and KV-cache comparison with provenance; Artifacts: algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/theorem_v3_cuda_sm89_validation_20260722.json, algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/pretrained_kv_cache_quality_l40s_20260722.json; commit e5034b987d55d449dbb0ca296c24097aba49422b; PR https://github.com/mrcha033/algebraic-ml-compiler/pull/1; GPU handoff algebraic-ml-compiler-theorem-v3-kv-20260722 What did the validated experiments or analyses establish, including useful negative results and the conditions under which they apply? lab algebraic-ml-compiler: Do not repeat this experiment without a changed hypothesis; reuse the measured scientific verdict and device-specific bounds. Draft 2026-07-23T09:32:19Z 2461244.8974421 2026-07-23T09:32:19Z 2461244.8974421 research autopilot 20260723t090001z-gpu 3000 research-artifact-91504fd1aac72280 2026-07-23T09:32:19Z 2461244.8974421 S3ResearchAgent algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/theorem_v3_cuda_sm89_validation_20260722.json benchmark partial_source research autopilot 20260723t090001z-gpu# 8aca50ec61374261f164fef2472b3e75 3000 commit_e5034b987d55d449 2026-07-23T09:32:19Z 2461244.8974421 S3ResearchAgent GitHub mrcha033/algebraic-ml-compiler commit e5034b987d55d449dbb0ca296c24097aba49422b code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260723t090001z-gpu# 0f4c1bade5e76e3c664018ab8939cd2e