aiqbench analysis
This study investigates how reasoning prompts create divergent outcomes across different model deployments, revealing that aggregate accuracy metrics can mask significant question-level gains and harms. By analyzing generation termination records across five open-weight models, the research demonstrates that a prompt beneficial for one system (e.g., Phi) may degrade performance in another (e.g., Qwen), challenging the assumption of universal prompt transferability. The work provides a reproducible framework for evaluating these capability mismatches alongside execution costs and evaluation methods.
RCCM: Diagnosing Gains and Harms in Reasoning-Prompt Transfer
arXiv:2610.19872v1 Announce Type: new Abstract: A reasoning prompt can improve one deployment and degrade another. RCCM (Reasoning-Control Capability Mismatch) examines these reversals by pairing answers to the same questions with records of how generation ends. Across five open-weight deployments and nine strategies, aggregate accuracy hides substantial question-level gains and harms; a common-budget MATH500 evaluation examines transfer on a separate sample. On 60 additional questions, concise reasoning improves Phi's automatic answer matching at a 2,048-token cap across three collections, but sharply reduces Qwen's. Author-reviewed final-answer commitments give a smaller, statistically unresolved Phi gain. Reserving an answer stage also improves matching, with additional input and call costs. These results show why a prompt benefit must be interpreted alongside its execution and evaluation: matching a reference answer need not mean delivering it, and an apparent compression benefit may admit another explanation. RCCM records this evidence for reproducible transfer comparisons.
Abstract:A reasoning prompt can improve one deployment and degrade another. RCCM (Reasoning-Control Capability Mismatch) examines these reversals by pairing answers to the same questions with records of how generation ends. Across five open-weight deployments and nine strategies, aggregate accuracy hides substantial question-level gains and harms; a common-budget MATH500 evaluation examines transfer on a separate sample. On 60 additional questions, concise reasoning improves Phi's automatic answer matching at a 2,048-token cap across three collections, but sharply reduces Qwen's. Author-reviewed final-answer commitments give a smaller, statistically unresolved Phi gain. Reserving an answer stage also improves matching, with additional input and call costs. These results show why a prompt benefit must be interpreted alongside its execution and evaluation: matching a reference answer need not mean delivering it, and an apparent compression benefit may admit another explanation. RCCM records this evidence for reproducible transfer comparisons.
21 pages, 2 figures. Includes a size-limited reproducibility subset as ancillary files
Computation and Language (cs.CL)
arXiv:2610.19872 [cs.CL]
(or arXiv:2610.19872v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.19872 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
ARXIV_SUBSET_MANIFEST.json
ARXIV_SUBSET_README.md
RCCM_ARTIFACT/ASSET_SOURCES.md
RCCM_ARTIFACT/CITATION_AUDIT_36.json
RCCM_ARTIFACT/CURRENT_REFERENCE_AND_KIT_VERIFICATION.json
RCCM_ARTIFACT/FULL_ARTIFACT_README_ARCHIVED.md
RCCM_ARTIFACT/OFFLINE_ENVIRONMENT.json
RCCM_ARTIFACT/PUBLIC_MANIFEST.json
RCCM_ARTIFACT/PUBLIC_MANIFEST_R268.json
RCCM_ARTIFACT/PUBLIC_MANIFEST_R270.json
RCCM_ARTIFACT/PUBLIC_MANIFEST_R274.json
RCCM_ARTIFACT/PUBLIC_MANIFEST_R275.json
RCCM_ARTIFACT/PUBLIC_MANIFEST_R279.json
RCCM_ARTIFACT/README.md
RCCM_ARTIFACT/README_DATA.md
RCCM_ARTIFACT/README_SOFTWARE.md
RCCM_ARTIFACT/REPLAY_AND_COLLECTION.md
RCCM_ARTIFACT/SELECTION_AND_STATUS.md
RCCM_ARTIFACT/analysis/AUXILIARY_SCORE_AUDIT.json
RCCM_ARTIFACT/analysis/CITATION_FRESH_CHECK.json
RCCM_ARTIFACT/analysis/REPLAY_REPORT.json
RCCM_ARTIFACT/analysis/REVISION_VERIFICATION.json
RCCM_ARTIFACT/analysis/SEMANTIC_AUDIT.json
RCCM_ARTIFACT/analysis/candidate_paired_by_deployment.csv
RCCM_ARTIFACT/analysis/candidate_replay.csv
RCCM_ARTIFACT/analysis/candidate_summary.csv
RCCM_ARTIFACT/analysis/deployment_declarations.csv
RCCM_ARTIFACT/analysis/main_all_pairs.csv
RCCM_ARTIFACT/analysis/main_matrix.csv
RCCM_ARTIFACT/analysis/main_rank_correlations.csv
RCCM_ARTIFACT/analysis/math500_all_pairs.csv
RCCM_ARTIFACT/analysis/math500_summary.csv
RCCM_ARTIFACT/analysis/math500_top_bands.csv
RCCM_ARTIFACT/analysis/paired_effect_intervals.csv
RCCM_ARTIFACT/analysis/phi_joint.csv
RCCM_ARTIFACT/analysis/probe_conditions.csv
RCCM_ARTIFACT/analysis/probe_pairs.csv
RCCM_ARTIFACT/analysis/reextraction_disagreements.jsonl
RCCM_ARTIFACT/analysis/repair_input_score_audit.csv
RCCM_ARTIFACT/analysis/rescue_harm.csv
RCCM_ARTIFACT/analysis/sampling_accuracy_replayed.csv
RCCM_ARTIFACT/analysis/sampling_event_audit.csv
RCCM_ARTIFACT/analysis/sampling_vote_replay.csv
RCCM_ARTIFACT/analysis/split_profiles.json
RCCM_ARTIFACT/analysis/template_bindings.csv
RCCM_ARTIFACT/analysis/threshold_sensitivity.csv
RCCM_ARTIFACT/anonymous_data_MANIFEST.json
RCCM_ARTIFACT/anonymous_software_MANIFEST.json
RCCM_ARTIFACT/answer_annotations/ANNOTATION_ANALYSIS.json
RCCM_ARTIFACT/answer_annotations/INTAKE_PROVENANCE.json
RCCM_ARTIFACT/answer_annotations/SHA256_INPUTS.json
RCCM_ARTIFACT/answer_annotations/joined_annotations.csv
RCCM_ARTIFACT/answer_annotations/original_review_kit/KIT_STATUS.md
RCCM_ARTIFACT/answer_annotations/original_review_kit/README.md
RCCM_ARTIFACT/answer_annotations/original_review_kit/___________________________CN.md
RCCM_ARTIFACT/answer_annotations/original_review_kit/blinded_responses.html
RCCM_ARTIFACT/answer_annotations/original_review_kit/reviewer_1_blank.csv
RCCM_ARTIFACT/answer_annotations/original_review_kit/reviewer_2_blank.csv
RCCM_ARTIFACT/answer_annotations/received_annotations.csv
RCCM_ARTIFACT/answer_phase/FINAL_ANALYSIS.json
RCCM_ARTIFACT/answer_phase/FROZEN_PROTOCOL.json
RCCM_ARTIFACT/answer_phase/INDEPENDENT_ACCEPTANCE.json
RCCM_ARTIFACT/answer_phase/INDEPENDENT_STATISTICS.json
RCCM_ARTIFACT/answer_phase/PREFLIGHT.json
RCCM_ARTIFACT/answer_phase/PROTOCOL_CN.md
RCCM_ARTIFACT/answer_phase/RUNTIME_SNAPSHOT.json
RCCM_ARTIFACT/answer_phase/TECHNICAL_GATE.json
RCCM_ARTIFACT/answer_phase/analyze.py
RCCM_ARTIFACT/answer_phase/attempts.jsonl
RCCM_ARTIFACT/answer_phase/calls.jsonl
RCCM_ARTIFACT/answer_phase/common.py
RCCM_ARTIFACT/answer_phase/events.jsonl
RCCM_ARTIFACT/answer_phase/outcomes.jsonl
RCCM_ARTIFACT/answer_phase/requests.jsonl
RCCM_ARTIFACT/answer_phase/runner.py
RCCM_ARTIFACT/answer_phase/verify_completed.py
RCCM_ARTIFACT/confirmation/AMENDED_ANALYSIS.json
RCCM_ARTIFACT/confirmation/FROZEN_CLOSURE.json
RCCM_ARTIFACT/confirmation/FROZEN_CLOSURE_V002.json
RCCM_ARTIFACT/confirmation/FROZEN_CONFIG.json
RCCM_ARTIFACT/confirmation/INDEPENDENT_AUDIT.json
RCCM_ARTIFACT/confirmation/METADATA_REDACTION.json
RCCM_ARTIFACT/confirmation/RUNTIME_MANIFEST_ANON.json
RCCM_ARTIFACT/confirmation/answer_scope_sensitivity.json
RCCM_ARTIFACT/confirmation/freshness_audit.json
RCCM_ARTIFACT/confirmation/items_frozen.jsonl
RCCM_ARTIFACT/confirmation/outcomes.jsonl
RCCM_ARTIFACT/confirmation/paired_effects_audited.csv
RCCM_ARTIFACT/confirmation/requests_frozen.jsonl
RCCM_ARTIFACT/confirmation/response_structure_features.jsonl
RCCM_ARTIFACT/confirmation/templates_frozen.json
RCCM_ARTIFACT/consolidation/ANALYSIS_MANIFEST.json
RCCM_ARTIFACT/consolidation/ANALYSIS_PROTOCOL.md
RCCM_ARTIFACT/consolidation/EXPECTED_SUMMARIES.json
RCCM_ARTIFACT/data/candidate_archive/boundary_replay.json
RCCM_ARTIFACT/data/candidate_archive/candidate_aggregate_comparison.csv
RCCM_ARTIFACT/data/candidate_archive/candidate_cases_exact.csv
RCCM_ARTIFACT/data/main_panel_scores.csv
RCCM_ARTIFACT/data/probes/conditions_recomputed.csv
RCCM_ARTIFACT/data/probes/contrasts_recomputed.csv
RCCM_ARTIFACT/data/probes/gemma_verification.jsonl
RCCM_ARTIFACT/data/probes/phi_length.jsonl
RCCM_ARTIFACT/data/probes/qwen_structure.jsonl
RCCM_ARTIFACT/data/repair/repair_breakdown_expanded_gemma.jsonl
RCCM_ARTIFACT/data/repair/repair_breakdown_expanded_llama.jsonl
RCCM_ARTIFACT/data/repair/repair_breakdown_expanded_phi_truncated.jsonl
RCCM_ARTIFACT/data/repair/repair_breakdown_expanded_qwen.jsonl
RCCM_ARTIFACT/data/sampling_config_gemma.json
RCCM_ARTIFACT/data/sampling_config_llama.json
RCCM_ARTIFACT/data/sampling_config_phi.json
RCCM_ARTIFACT/data/sampling_config_qwen.json
RCCM_ARTIFACT/data/templates.json
RCCM_ARTIFACT/figures/fig1_rescue_harm.pdf
RCCM_ARTIFACT/figures/fig1_rescue_harm.png
RCCM_ARTIFACT/figures/fig1_rescue_harm.svg
RCCM_ARTIFACT/figures/fig2_phi_stops.pdf
RCCM_ARTIFACT/figures/fig2_phi_stops.png
RCCM_ARTIFACT/figures/fig2_phi_stops.svg
RCCM_ARTIFACT/historical_edits/factorial_marginals.csv
RCCM_ARTIFACT/official_sources/gsm8k_license.txt
RCCM_ARTIFACT/official_sources/math_license.txt
RCCM_ARTIFACT/provenance/repair_phi_runner_original.py
RCCM_ARTIFACT/provenance/repair_runner_original.py
RCCM_ARTIFACT/provenance/run_checkpoint.py
RCCM_ARTIFACT/provenance/run_new_methods.py
RCCM_ARTIFACT/provenance/run_repair.py
RCCM_ARTIFACT/provenance/sampling_analyzer_original.py
RCCM_ARTIFACT/references.bib
RCCM_ARTIFACT/references_historical.bib
RCCM_ARTIFACT/repeatability/COMPLETION_SNAPSHOT.json
RCCM_ARTIFACT/repeatability/FINAL_ANALYSIS.json
RCCM_ARTIFACT/repeatability/FROZEN_PROTOCOL.json
RCCM_ARTIFACT/repeatability/INDEPENDENT_ACCEPTANCE.json
RCCM_ARTIFACT/repeatability/RUNTIME_SNAPSHOT.json
RCCM_ARTIFACT/repeatability/analyze.py
RCCM_ARTIFACT/repeatability/attempts.jsonl
RCCM_ARTIFACT/repeatability/events.jsonl
RCCM_ARTIFACT/repeatability/outcomes.jsonl
RCCM_ARTIFACT/repeatability/requests.jsonl
RCCM_ARTIFACT/repeatability/runner.py
RCCM_ARTIFACT/requirements-lock.txt
RCCM_ARTIFACT/requirements.txt
RCCM_ARTIFACT/retrospective/expected_auc.csv
RCCM_ARTIFACT/retrospective/falcon_contrasts.csv
RCCM_ARTIFACT/retrospective/long_format_data.csv
RCCM_ARTIFACT/scripts/check_environment.py
RCCM_ARTIFACT/scripts/consolidated_analysis.py
RCCM_ARTIFACT/scripts/exact_rules.py
RCCM_ARTIFACT/scripts/plot_figures.py
RCCM_ARTIFACT/scripts/replay_answer_annotations.py
RCCM_ARTIFACT/scripts/replay_answer_phase.py
RCCM_ARTIFACT/scripts/replay_auxiliary_scores.py
RCCM_ARTIFACT/scripts/replay_confirmation.py
RCCM_ARTIFACT/scripts/replay_consolidation.py
RCCM_ARTIFACT/scripts/replay_followup_diagnostics.py
RCCM_ARTIFACT/scripts/replay_historical_edits.py
RCCM_ARTIFACT/scripts/replay_repeatability.py
RCCM_ARTIFACT/scripts/replay_retrospective_fit.py
RCCM_ARTIFACT/scripts/replay_selection.py
RCCM_ARTIFACT/scripts/reproduce_all.py
RCCM_ARTIFACT/scripts/run_all.py
RCCM_ARTIFACT/scripts/scorers/legacy/aaai_eval/math_match.py
RCCM_ARTIFACT/scripts/scorers/legacy/aaai_eval/parsers.py
RCCM_ARTIFACT/scripts/scorers/v005/aaai_eval/math_match.py
RCCM_ARTIFACT/scripts/scorers/v005/aaai_eval/parsers.py
RCCM_ARTIFACT/scripts/semantic_audit.py
RCCM_ARTIFACT/scripts/verify_answer_phase_analysis.py
RCCM_ARTIFACT/selection_sources/SELECTION_PROVENANCE.json
RCCM_ARTIFACT/selection_sources/gsm8k_test_source.jsonl
RCCM_ARTIFACT/selection_sources/math_test_algebra.parquet
RCCM_ARTIFACT/selection_sources/math_test_counting_and_probability.parquet
RCCM_ARTIFACT/selection_sources/math_test_geometry.parquet
RCCM_ARTIFACT/selection_sources/math_test_intermediate_algebra.parquet
RCCM_ARTIFACT/selection_sources/math_test_number_theory.parquet
RCCM_ARTIFACT/selection_sources/math_test_prealgebra.parquet
RCCM_ARTIFACT/selection_sources/math_test_precalculus.parquet
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