artifact_manifest.md

# Artifact Manifest

This manifest maps the active root manuscript tables in `main.tex` to the
current run directories and rerun commands. Paper-facing labels should use
MemAudit/full raw/budgeted replay/FIFO wording even when older artifact ids
contain `bsc` or `oraclemem`.

| Paper item | Manuscript label | Artifact path | Source files | Rerun command |
| --- | --- | --- | --- | --- |
| Exact-small 500 | `fig:exact-budget-sweep` | `oraclemem_runs/exact_500` | `summary.md`, `summary.json`, `raw_results.jsonl`, optional `coverage_instances/base/seed_*/coverage_matrix.jsonl` | `python run_oraclemem_mvp.py --n-seeds 500 --budgets 0.01,0.02,0.05,0.10,0.20 --distribution base --methods opt,oracle_gvt,density_only,recency_raw,summary_only,fact_only,no_tombstone_gvt,no_tombstone_opt --out oraclemem_runs/exact_500 --export-coverage-matrices` |
| Validity-heavy stress 500 | `fig:stress-validity` | `oraclemem_runs/stress_exact_500` | `summary.md`, `summary.json`, `raw_results.jsonl`, optional `coverage_instances/<distribution>/seed_*/coverage_matrix.jsonl` | `python run_oraclemem_mvp.py --n-seeds 500 --budgets 0.02,0.05,0.10,0.20 --distribution base,update_chain,temporal_interval,density_trap,scope_shift,summary_tradeoff,redundancy_heavy,abstention_hard --methods opt,oracle_gvt,density_only,greedy,recency_raw,reservoir_raw,summary_only,fact_only,no_tombstone_gvt,no_tombstone_opt --out oraclemem_runs/stress_exact_500 --export-coverage-matrices` |
| Representative non-oracle writers | Main text diagnostic | `oraclemem_runs/representative_writers_500` | `summary.md`, `summary.json`, `raw_results.jsonl` | `python run_oraclemem_mvp.py --n-seeds 500 --budgets 4,6 --distribution base,update_chain,temporal_interval --methods opt,oracle_gvt,estimated_gvt,amac_admission,mem0_extract,density_only,recency_raw,summary_only,fact_only,no_tombstone_opt --out-dir oraclemem_runs/representative_writers_500` |
| No-API proxy writer diagnostic | Diagnostic only | `oraclemem_runs/proxy_writer_baselines_50` | `REPORT.md`, `summary.md`, `summary.json`, `raw_results.jsonl` | `python run_oraclemem_mvp.py --n-seeds 50 --distribution base,update_chain,scope_shift_v2,density_trap_v2,temporal_interval --budgets 4,6 --methods opt,oracle_gvt,memgpt_tiered,mem0_extract,amem_graph,amac_admission,generic_candidate_opt,no_tombstone_opt --out-dir oraclemem_runs/proxy_writer_baselines_50 --enable-retrieval --retrieval fixed,oracle` |
| Gemini Natural-200 coverage package | `tab:natural-reliability` | `llm_memory_validation/oraclemem_natural_200_gemini_v2` | `REPORT.md`, `summary.json`, `coverage_resolved_summary.json`, `coverage_resolution_report.md`, `coverage_package/`, `coverage_audit/REPORT.md` | `python llm_memory_validation/gemini_natural_oraclemem.py --limit 200 --distractors-per-example 0 --max-session-words 1800 --budgets 30,60,100 --out-dir llm_memory_validation/oraclemem_natural_200_gemini_v2 --request-sleep 0.02`; then `python scripts/audit_coverage_artifacts.py --no-defaults --artifact natural_200_gemini_v2=llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_package --output-dir llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_audit` |
| Actual Mem0 Natural-200 baseline | `tab:natural-adjudicated` | `llm_memory_validation/mem0_natural200_actual` | `REPORT.md`, `summary.json`, `raw_results.jsonl`, `written_stores.jsonl`, `coverage_scoring_calls.jsonl`; cloned repo `external_repos/mem0` | `python llm_memory_validation/run_mem0_natural_baseline.py --package-dir llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_package --out-dir llm_memory_validation/mem0_natural200_actual --limit 200 --budgets 30,60,100 --include-oracle-pruned-upper` |
| Secondary natural annotation audit | Limitation/adjudication warning | `llm_memory_validation/natural50_annotation_agreement_gemini31_vs_gemini25` | `REPORT.md`, `summary.json`, `agreement_rows.jsonl`; secondary package `llm_memory_validation/natural50_secondary_gemini25` | `python llm_memory_validation/gemini_natural_oraclemem.py --model google/gemini-2.5-flash-lite --limit 50 --distractors-per-example 0 --max-session-words 1800 --budgets 30,60,100 --out-dir llm_memory_validation/natural50_secondary_gemini25 --request-sleep 0.02`; then `python llm_memory_validation/compare_natural_coverage_annotations.py --primary llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_package --secondary llm_memory_validation/natural50_secondary_gemini25/coverage_package --out-dir llm_memory_validation/natural50_annotation_agreement_gemini31_vs_gemini25` |
| Gemini Flash adjudicated natural subset | `tab:natural-adjudicated` package rows | `llm_memory_validation/natural_adjudicated_100_gemini_flash` | `REPORT.md`, `adjudication_summary.json`, `summary.json`, `coverage_package/`, `coverage_audit/REPORT.md` | `python llm_memory_validation/adjudicate_natural_package.py --primary-package-dir llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_package --out-dir llm_memory_validation/natural_adjudicated_100_gemini_flash --model google/gemini-2.5-flash --limit 100 --budgets 30,60,100 --secondary-agreement-rows llm_memory_validation/natural50_annotation_agreement_gemini31_vs_gemini25/agreement_rows.jsonl --mem0-raw-results llm_memory_validation/mem0_natural200_actual/raw_results.jsonl --request-sleep 0.02`; then `python scripts/audit_coverage_artifacts.py --no-defaults --artifact natural_adjudicated_100_gemini_flash=llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_package --output-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_audit` |
| Gemini Flash-Lite spot-check | `tab:natural-reliability` spot-check row | `llm_memory_validation/natural_spotcheck_30_gemini31_flash_lite` | `REPORT.md`, `adjudication_summary.json`, `summary.json`, `coverage_package/`, `coverage_audit/REPORT.md` | `python llm_memory_validation/adjudicate_natural_package.py --primary-package-dir llm_memory_validation/oraclemem_natural_200_gemini_v2/coverage_package --out-dir llm_memory_validation/natural_spotcheck_30_gemini31_flash_lite --model google/gemini-3.1-flash-lite-preview --limit 30 --budgets 30,60,100 --methods opt,oracle_gvt,estimated_gvt,amac_admission,summary_only,fact_only,recency_raw --secondary-agreement-rows llm_memory_validation/natural50_annotation_agreement_gemini31_vs_gemini25/agreement_rows.jsonl --mem0-raw-results llm_memory_validation/mem0_natural200_actual/raw_results.jsonl --request-sleep 0.02 --skip-existing`; then `python scripts/audit_coverage_artifacts.py --no-defaults --artifact natural_spotcheck_30_gemini31_flash_lite=llm_memory_validation/natural_spotcheck_30_gemini31_flash_lite/coverage_package --output-dir llm_memory_validation/natural_spotcheck_30_gemini31_flash_lite/coverage_audit` |
| Human-edited natural seed package | `tab:natural-reliability` human row | `llm_memory_validation/human_style_examples` | `examples_100.jsonl`, `README.md`, `eval_package_100/REPORT.md`, `eval_package_100/summary.json`, `eval_package_100/raw_results.jsonl` | `python scripts/validate_human_style_examples.py llm_memory_validation/human_style_examples/examples_100.jsonl`; then `python llm_memory_validation/evaluate_human_style_examples.py --examples-jsonl llm_memory_validation/human_style_examples/examples_100.jsonl --out-dir llm_memory_validation/human_style_examples/eval_package_100 --budgets 150,300,600,1000 --methods opt,oracle_gvt,estimated_gvt,memgpt_tiered,amem_graph,amac_admission,mem0_extract,density_only,greedy,fact_only,summary_only,recency_raw,no_tombstone_opt` |
| Human-edited coverage-package export | Human-edited/A-Mem paragraph | `llm_memory_validation/human_style_examples/coverage_package` and `llm_memory_validation/human_style_examples/coverage_package_audit` | `coverage_package/*.jsonl`, `coverage_package/candidate_generation_manifest.json`, `coverage_package_audit/REPORT.md`, `coverage_package_audit/summary.json` | `python llm_memory_validation/export_human_style_coverage_package.py --examples-jsonl llm_memory_validation/human_style_examples/examples_100.jsonl --out-dir llm_memory_validation/human_style_examples/coverage_package`; then `python scripts/audit_coverage_artifacts.py --no-defaults --artifact human_style_coverage=llm_memory_validation/human_style_examples/coverage_package --output-dir llm_memory_validation/human_style_examples/coverage_package_audit` |
| Human-edited writer adapters | System-style adapter paragraph | `llm_memory_validation/human_style_examples/writer_adapters` | `REPORT.md`, `summary.md`, `summary.json`, `raw_results.jsonl`, `run_manifest.json` | `python llm_memory_validation/evaluate_coverage_package_writers.py --package-dir llm_memory_validation/human_style_examples/coverage_package --out-dir llm_memory_validation/human_style_examples/writer_adapters --budgets 150,300,600,1000 --methods opt,oracle_gvt,memgpt_tiered,amem_graph,mem0_extract,amac_admission,estimated_gvt,density_only,summary_only,fact_only,recency_raw` |
| Actual A-Mem on human-edited package | Human-edited/A-Mem paragraph | `llm_memory_validation/human_style_examples/actual_amem_gemini_flash_100` | `REPORT.md`, `summary.json`, `raw_results.jsonl`, `written_stores.jsonl`, `coverage_scoring_calls.jsonl`, `run_manifest.json`; cloned repo `external_repos/AgenticMemory` | `python llm_memory_validation/run_actual_amem_natural_baseline.py --package-dir llm_memory_validation/human_style_examples/coverage_package --out-dir llm_memory_validation/human_style_examples/actual_amem_gemini_flash_100 --limit 100 --budgets 150,300,600,1000,5000 --amem-model google/gemini-2.5-flash --coverage-model google/gemini-2.5-flash --request-sleep 0.02 --amem-max-tokens 3000` |
| Learned writer transfer diagnostic | Learned-writer paragraph | `llm_memory_validation/human_style_examples/learned_writer_transfer` | `REPORT.md`, `summary.md`, `summary.json`, `raw_results.jsonl`, `train_manifest.json` | `python llm_memory_validation/evaluate_learned_writer_transfer.py --out-dir llm_memory_validation/human_style_examples/learned_writer_transfer --budgets 150,300,600,1000 --methods opt,oracle_gvt,estimated_gvt,estimated_utility,memgpt_tiered,amem_graph,amac_admission,mem0_extract,density_only,greedy,fact_only,summary_only,recency_raw,no_tombstone_opt` |
| Learned writer source ablations | Learned-writer paragraph | `llm_memory_validation/human_style_examples/learned_writer_transfer_synth_only`, `llm_memory_validation/human_style_examples/learned_writer_transfer_natural_only` | `REPORT.md`, `summary.md`, `summary.json`, `raw_results.jsonl`, `train_manifest.json` | Synthetic-only: `python llm_memory_validation/evaluate_learned_writer_transfer.py --out-dir llm_memory_validation/human_style_examples/learned_writer_transfer_synth_only --train-natural-limit 0 --budgets 150,300,600,1000 --methods opt,oracle_gvt,estimated_gvt,estimated_utility,amac_admission,mem0_extract,density_only,greedy,fact_only,summary_only,recency_raw,no_tombstone_opt`; Natural-only: `python llm_memory_validation/evaluate_learned_writer_transfer.py --out-dir llm_memory_validation/human_style_examples/learned_writer_transfer_natural_only --n-synthetic-train-seeds 0 --budgets 150,300,600,1000 --methods opt,oracle_gvt,estimated_gvt,estimated_utility,amac_admission,mem0_extract,density_only,greedy,no_tombstone_opt` |
| Natural writer adapters | System-style adapter paragraph | `llm_memory_validation/natural_adjudicated_100_gemini_flash/writer_adapters` | `REPORT.md`, `summary.md`, `summary.json`, `raw_results.jsonl`, `run_manifest.json` | `python llm_memory_validation/evaluate_coverage_package_writers.py --package-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_package --out-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/writer_adapters --budgets 30,60,100 --methods opt,oracle_gvt,memgpt_tiered,amem_graph,mem0_extract,amac_admission,estimated_gvt,density_only,summary_only,fact_only,recency_raw` |
| Faithful MemGPT/Letta union baseline | `tab:natural-adjudicated` MemGPT/Letta rows and paragraph | `llm_memory_validation/natural_adjudicated_100_gemini_flash/faithful_memgpt_letta_union` | `REPORT.md`, `summary.json`, `raw_results.jsonl`, `written_stores.jsonl`, `run_manifest.json`; cloned repo `external_repos/letta` | `python llm_memory_validation/run_faithful_memgpt_letta_baseline.py --package-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_package --out-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/faithful_memgpt_letta_union --budgets 30,60,100 --limit 87` |
| Actual Letta OpenRouter passage run | Actual Letta paragraph | `llm_memory_validation/natural_adjudicated_100_gemini_flash/actual_letta_openrouter_gemini_passage_87` | `REPORT.md`, `summary.json`, `raw_results.jsonl`, `written_stores.jsonl`, `coverage_scoring_calls.jsonl`, `salience_scoring_calls.jsonl`; cloned repo `external_repos/letta`; patch `llm_memory_validation/patches/letta_openrouter_embedding_auth.patch` | With Letta server running on Postgres/pgvector and the OpenRouter embedding-auth patch applied: `.\.venv_letta_prod\Scripts\python.exe llm_memory_validation\run_actual_letta_openrouter_baseline.py --package-dir llm_memory_validation\natural_adjudicated_100_gemini_flash\coverage_package --out-dir llm_memory_validation\natural_adjudicated_100_gemini_flash\actual_letta_openrouter_gemini_passage_87 --limit 87 --budgets 30,60,100 --include-salience-pruned --include-oracle-pruned-upper --max-steps 12 --message-retries 2 --request-sleep 0.02` |
| Mem0 rescore on adjudicated subset | `tab:natural-adjudicated` Mem0 rows | `llm_memory_validation/mem0_rescore_adjudicated100_gemini_flash` | `REPORT.md`, `summary.json`, `raw_results.jsonl`, `coverage_scoring_calls.jsonl`, `salience_scoring_calls.jsonl` | `python llm_memory_validation/score_mem0_written_stores.py --package-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_package --written-stores-jsonl llm_memory_validation/mem0_natural200_actual/written_stores.jsonl --out-dir llm_memory_validation/mem0_rescore_adjudicated100_gemini_flash --coverage-model google/gemini-2.5-flash --salience-model google/gemini-2.5-flash --budgets 30,60,100 --include-salience-pruned --include-oracle-pruned-upper --request-sleep 0.02` |
| Actual A-Mem Gemini-Flash run | Actual A-Mem paragraph and `tab:natural-adjudicated` A-Mem rows | `llm_memory_validation/natural_adjudicated_100_gemini_flash/actual_amem_gemini_flash_87` | `REPORT.md`, `summary.json`, `raw_results.jsonl`, `written_stores.jsonl`, `coverage_scoring_calls.jsonl`, `run_manifest.json`; cloned repo `external_repos/AgenticMemory` | `python llm_memory_validation/run_actual_amem_natural_baseline.py --package-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/coverage_package --out-dir llm_memory_validation/natural_adjudicated_100_gemini_flash/actual_amem_gemini_flash_87 --limit 87 --budgets 30,60,100,5000 --amem-model google/gemini-2.5-flash --coverage-model google/gemini-2.5-flash --request-sleep 0.02 --amem-max-tokens 3000` |
| Actual Mem0 smoke | Superseded external validation smoke | `llm_memory_validation/mem0_actual_smoke` and `llm_memory_validation/actual_system_repo_audit` | `search_result.json`, `actual_system_repo_audit/REPORT.md`; cloned repo `external_repos/mem0` | `python llm_memory_validation/mem0_actual_smoke.py --api-env api.env --out-dir llm_memory_validation/mem0_actual_smoke` |
| Train/dev estimated-writer diagnostic | Diagnostic only | `oraclemem_runs/estimated_policy_train_dev_local_60` | `summary.md`, `summary.json`, `raw_results.jsonl` | `python run_oraclemem_mvp.py --n-seeds 60 --train-dev-estimator --train-fraction 0.5 --distribution base,update_chain,temporal_interval,density_trap,scope_shift,summary_tradeoff,redundancy_heavy,abstention_hard,scope_shift_v2,density_trap_v2 --budgets 4,6 --methods opt,oracle_gvt,estimated_gvt,estimated_utility,mem0_extract,amac_admission,no_tombstone_gvt,no_tombstone_opt --out-dir oraclemem_runs/estimated_policy_train_dev_local_60` |
| LongMemEval-S retrieval transfer | Appendix diagnostic | `llm_memory_validation/longmemeval_focus_report_core4` | `REPORT.md`, `summary.json`; upstream `llm_memory_validation/competitor_run_v2/retrieval_rows.json` | `python llm_memory_validation/longmemeval_focus_report.py --summary-json llm_memory_validation/competitor_run_v2/summary.json --retrieval-rows-json llm_memory_validation/competitor_run_v2/retrieval_rows.json --output-dir llm_memory_validation/longmemeval_focus_report_core4 --methods dense_budgeted_bsc,dense_rag_e5,dense_budgeted_replay,fifo_replay` |
| GPT-5.5 frozen-context reader | Appendix diagnostic | `llm_memory_validation/longmemeval_reader_api_gpt55_answer_supported_focus_full` | `REPORT.md`, `summary.json`, `reader_outputs.jsonl`, `predictions.json` | `python llm_memory_validation/longmemeval_reader_eval.py --dataset-json llm_memory_validation/cache/longmemeval_s_cleaned.json --retrieval-rows-json llm_memory_validation/competitor_run_v2/retrieval_rows.json --output-dir llm_memory_validation/longmemeval_reader_api_gpt55_answer_supported_focus_full --methods dense_budgeted_bsc,dense_rag_e5,dense_budgeted_replay,fifo_replay --focus-only --focus-types knowledge-update,temporal-reasoning --reader openrouter --reader-model openai/gpt-5.5 --prompt-style answer_if_supported --api-env api.env --api-cache llm_memory_validation/openrouter_cache_gpt55_answer_supported_focus_full.json` |
| Conditional reader audit | Appendix diagnostic | `llm_memory_validation/longmemeval_reader_api_gpt55_answer_supported_focus_full` | `ERROR_AUDIT.md`, `error_audit_summary.json`, `error_audit_rows.jsonl`, `failure_examples.jsonl`, `semantic_audit_sample_50.jsonl`, `normalized_scoring.json`, `llm_memory_validation/scoring_audit_gpt55/normalized_scoring_v2.json` | `python llm_memory_validation/longmemeval_reader_eval.py --analyze-errors --run-dir llm_memory_validation/longmemeval_reader_api_gpt55_answer_supported_focus_full` |
| LongMemEval-S cached diagnostic check | Claim-boundary/reporting aid | `llm_memory_validation/longmemeval_cached_diagnostic_check` | `REPORT.md`, `summary.json`; reads the cached retrieval, GPT-5.5, Gemini, GPT-5.4-mini, scoring-audit, failure-audit, and prompt-dev summaries | `python llm_memory_validation/longmemeval_cached_diagnostic_check.py` |
| Deterministic decomposition | Appendix diagnostic | `oraclemem_runs/decomp_det_300` | `summary.md`, `summary.json`, `raw_results.jsonl` | `python run_oraclemem_mvp.py --n-seeds 300 --budgets 0.05,0.10,0.20 --distribution base,update_chain,temporal_interval --methods opt,oracle_gvt,density_only,greedy,recency_raw,reservoir_raw,summary_only,fact_only,no_tombstone_gvt --enable-retrieval --retrieval fixed,oracle --reader evidence_only --out oraclemem_runs/decomp_det_300` |
| MILP solver audit text | Exact-small solver paragraph | `oraclemem_runs/milp_verify_100_agent4` | `REPORT.md`, `summary.md`, `summary.json`, `raw_results.jsonl` | `python run_oraclemem_mvp.py --n-seeds 100 --budgets 0.02,0.05,0.10,0.20 --distribution base,update_chain,temporal_interval --methods opt --solver milp --verify-against exact_stdlib --out oraclemem_runs/milp_verify_100_agent4` |
| Gemini 3.1 Flash-Lite reader diagnostic | Appendix/API robustness only | `llm_memory_validation/longmemeval_reader_api_gemini31_flash_lite_focus_full_bsc_fifo` | `summary.json`, `REPORT.md`, `reader_outputs.jsonl`, `predictions.json` | `python llm_memory_validation/longmemeval_reader_eval.py --reader openrouter --reader-model google/gemini-3.1-flash-lite-preview --prompt-style answer_if_supported --focus-only --methods dense_budgeted_bsc,fifo_replay --api-env api.env --api-cache llm_memory_validation/openrouter_cache_gemini31_flash_lite_focus_full_bsc_fifo.json --output-dir llm_memory_validation/longmemeval_reader_api_gemini31_flash_lite_focus_full_bsc_fifo --api-max-tokens 320 --api-timeout 120 --temperature 0 --request-sleep 0.02 --bootstrap 1000 --save-prompts` |
| Noisy estimated-policy diagnostic | Diagnostic only | `oraclemem_runs/estimated_policy_noisy_noapi_1000` | `summary.md`, `summary.json`, `raw_results.jsonl`, `coverage_instances/`, `coverage_audit_final/summary.json` | `python run_oraclemem_mvp.py --n-seeds 500 --distribution scope_shift_v2,density_trap_v2 --budgets 4,6 --methods opt,oracle_gvt,estimated_gvt,estimated_utility,mem0_extract,amac_admission,no_tombstone_gvt,no_tombstone_opt --estimated-model google/gemini-3.1-flash-lite-preview --estimated-profile noisy_gemini_flash_lite_v1 --enable-retrieval --retrieval fixed,oracle --export-coverage-matrices --coverage-package-limit 4 --out-dir oraclemem_runs/estimated_policy_noisy_noapi_1000` |
| Deterministic estimated-policy diagnostic | Superseded diagnostic | `oraclemem_runs/estimated_policy_gemini31_flash_lite_1000` | `summary.md`, `summary.json`, `raw_results.jsonl` | `python run_oraclemem_mvp.py --n-seeds 500 --distribution scope_shift_v2,density_trap_v2 --budgets 4,6 --methods opt,oracle_gvt,estimated_gvt,estimated_utility,mem0_extract,amac_admission,no_tombstone_gvt,no_tombstone_opt --estimated-model google/gemini-3.1-flash-lite-preview --estimated-profile gemini_flash_lite_v1 --enable-retrieval --retrieval fixed,oracle --out-dir oraclemem_runs/estimated_policy_gemini31_flash_lite_1000` |
| Paper figures | `fig:*` | `figures/` | Canonical summaries listed above | `python scripts/make_figures.py` |

## Method Id Map

| Artifact id | Paper-facing label |
| --- | --- |
| `dense_budgeted_bsc` | MemAudit writer + dense retrieval |
| `dense_rag_e5` | Full raw-store dense retrieval |
| `dense_budgeted_replay` | Budgeted raw replay + dense retrieval |
| `fifo_replay` | FIFO raw replay |
| `oracle_gvt` | MemAudit-GVT |
| `no_tombstone_gvt` | No-tombstone GVT |
| `no_tombstone_opt` | No-tombstone OPT |

## Build And Verification Artifacts

| Artifact | Path | Status |
| --- | --- | --- |
| Local LaTeX compile log | `latex_compile_attempt.txt` | Local TeX tools unavailable on 2026-04-28 |
| GitHub Actions LaTeX workflow | `.github/workflows/latex.yml` | Added as CI build fallback |
| Unit tests | `test_oraclemem.py` | `python -m unittest test_oraclemem.py`, current result: 17 passed |
| Figure generation | `scripts/make_figures.py` | `python scripts/make_figures.py --dry-run`; `python scripts/make_figures.py` |
| Coverage matrix export/audit | `oraclemem_runs/<run>/coverage_instances` | `python run_oraclemem_mvp.py --n-seeds 1 --budgets 4 --methods opt,oracle_gvt --out oraclemem_runs/coverage_export_smoke --export-coverage-matrices`; `python scripts/audit_coverage_artifacts.py --no-defaults --artifact synthetic_seed0=oraclemem_runs/coverage_export_smoke/coverage_instances/base/seed_0` |