AUDIT_REPORT.md

SparseWake Artifact Audit Report

Audit date: 2026-05-06

Scope: anonymous SparseWake dataset release. The manuscript source checked for consistency was main_v11.tex; it was read but not compiled or edited.

Overall Status

Requirement	Status	Notes
Anonymous release contents	PASS WITH ACTION	Release tree text scan found no author names, private emails, private repository URLs, local paths, usernames, machine names, or institution names. The parent repository .git history is not anonymous and must not be included in the review ZIP.
Manuscript-to-artifact coverage	PASS WITH NOTES	Manuscript datasets, tables, result summaries, and referenced figure PDFs are present. Main and supplement figure PDFs are included under manuscript-compatible paths.
HDF5 benchmark data	PASS	Three full processed HDF5 files and one sample HDF5 are present. HDF5 root/dataset attributes contain no identity metadata.
Reproducible benchmark code	PASS	Sample verification, table reproduction, figure reproduction, and quick training smoke test run from the release tree.
Data integrity	PASS	Checksums are listed in data/checksums.sha256; scripts/verify_dataset.py can verify sample structure and checksum entries.
Documentation	PASS	README, dataset card, evaluation card, provenance, field documentation, limitations, license, CITATION.cff, Croissant metadata, audit report, manifest, and release checklist are present.
Double-blind packaging	PASS WITH ACTION	Package the release-tree contents only. Do not package the parent repository .git directory or development logs outside the release tree.

Manuscript-to-Artifact Manifest

Manuscript item	Expected artifact file	Status	Notes
Benchmark overview figure, figures/main/Fig1.pdf	figures/main/Fig1.pdf	PASS	PDF included; embedded local source reference was anonymized.
Main localization figure, figures/main/Fig2.pdf	figures/main/Fig2.pdf; reproducible summary figure figures/fig02_main_results.*	PASS	Main PDF included; script-generated PDF/SVG also present.
Self-signal figure, figures/main/Fig3.pdf	figures/main/Fig3.pdf; reproducible summary figure figures/fig03_self_signal_control.*	PASS	Main PDF included; script-generated PDF/SVG also present.
Architecture screen figure, figures/supp/Fig4.pdf	figures/supp/Fig4.pdf; figures/figS4_architecture_screen.*	PASS	CSV source: data/results/model_screen.csv.
Noise/SNR diagnostics, figures/supp/Fig5.pdf	figures/supp/Fig5.pdf; CSV source data/results/noise_snr_diagnostics.csv	PASS	Figure PDF included.
Orientation diagnostics, figures/supp/Fig6.pdf	figures/supp/Fig6.pdf; CSV source data/results/orientation_metrics.csv	PASS	Figure PDF included.
Sample-size convergence, figures/supp/Fig7.pdf	figures/supp/Fig7.pdf; figures/figS5_sample_size_convergence.*	PASS	CSV source: data/results/sample_size_convergence.csv.
Dataset validation, figures/supp/Fig8.pdf	figures/supp/Fig8.pdf	PASS	Figure PDF included.
Spatial error heatmap, figures/supp/Fig9.pdf	figures/supp/Fig9.pdf	PASS	Figure PDF included.
Benchmark specification table	README.md, docs/benchmark_protocol.md, docs/data_fields.md	PASS	Protocol, fields, sensors, labels, metrics, and split are documented.
Dataset roles table	data/processed/README.md, data/processed/download_manifest.json	PASS	Role names map to release HDF5 files.
Architecture-screen pilot	data/results/model_screen.csv, configs/model_screen.yaml	PASS	Result summary included; pilot HDF5 is not released as a separate full dataset because it is auxiliary.
External component benchmark	data/processed/abm_sensing_dataset_v04_close_orient30_potential_160k.h5	PASS	Contains wake-only, potential-only, wake-plus-potential, labels, poses, regions, and sensor world positions.
Paired self-signal controls, aligned	data/processed/abm_sensing_dataset_v05_self_external_paired_160k_compressed.h5	PASS	Contains external-only, self-only, and total-like arrays.
Paired self-signal controls, randomized orientation	data/processed/abm_sensing_dataset_v05_self_external_orient30_160k.h5	PASS	Contains external/self/total arrays for randomized follower orientation.
History sweep H=1,4,8,16,24	data/results/main_numbers.csv, data/results/v04_h_sweep_summary_table.csv	PASS	Values match manuscript prose within rounding.
Full-state location_theta	data/results/orientation_metrics.csv, configs/main_v04.yaml	PASS	Close-wake position RMSE 0.040 and heading MAE 0.53 deg trace to CSV.
Sensor ablation 6,4,3,2 sensors	data/results/sensor_ablation.csv, data/results/v04_sensor_subset_summary_table.csv	PASS	All counts referenced in the manuscript are present.
Common raw-noise stress test	data/results/component_noise.csv, data/results/v04_component_common_noise_summary_table.csv	PASS	Potential-only, wake-only, and wake-plus-potential rows are present.
Self-signal controls	data/results/aligned_self_signal_control.csv, data/results/self_signal_randomized.csv, data/results/v05_self_control_table.csv	PASS	Aligned and randomized-orientation controls are present.
Total-like noise robustness	data/results/v05_total_noise_table.csv, data/results/main_numbers.csv	PASS	Noise multipliers through 0.05 are present.
Sample-size convergence	data/results/sample_size_convergence.csv, configs/sample_size.yaml	PASS	500, 1000, 2500, and 4000 training-pose conditions are present.
Compute report	data/results/compute_resources.csv, this report	PASS WITH UNCERTAINTY	Exact CPU/GPU/RAM were not logged in the frozen run and are marked unresolved below.

Data and Code Checks

HDF5 files checked:

File	Status	Notes
data/processed/abm_sensing_dataset_v04_close_orient30_potential_160k.h5	PASS	160000 samples; fields include X_raw, X_wake_raw, X_potential_raw, y, groups, region_id, follower_pose, leader_pose, and sensor_world_positions.
data/processed/abm_sensing_dataset_v05_self_external_orient30_160k.h5	PASS	160000 samples; includes external, self, and total-like component arrays.
data/processed/abm_sensing_dataset_v05_self_external_paired_160k_compressed.h5	PASS	160000 samples; includes aligned paired self-signal component arrays.
data/sample/sparsewake_sample.h5	PASS	2048 samples and explicit pose_id; used for smoke tests.

Implementation checks:

Check	Status	Notes
Global follower coordinates excluded from model inputs	PASS	Training code loads only selected X_* component arrays as input; follower_pose and sensor_world_positions remain metadata.
Held-out-pose test logic	PASS	src/sparsewake/splits.py matches the experiment driver: default_rng(seed).choice selects held-out test poses, then sklearn train_test_split(..., test_size=0.15, random_state=seed) splits the remaining samples into train/validation.
Train-set-only standardization	PASS	src/sparsewake/train.py fits input mean/std only on train_idx.
raw_norm feature dimension	PASS	src/sparsewake/features.py produces 37 features per time step for six sensors and 888 dimensions for H=24.
Main metric implementation	PASS	Position RMSE and circular theta_rel MAE are implemented in src/sparsewake/metrics.py.

Anonymity Scan

Text files scanned: Markdown, Python, YAML, JSON, CSV, CFF, SVG, checksum, and text files in the release tree.

Binary/metadata checked: HDF5 root and dataset attributes; PDF/SVG metadata and raw byte search for known local identifiers and path patterns.

Findings:

• Release tree text scan: PASS.
• Croissant metadata: PASS. It uses anonymous creator/citation fields and contains no creator email, publisher institution, private URL, or local path.
• HDF5 attributes: PASS. Full HDF5 files have no root or dataset attributes; sample HDF5 attributes are generic.
• PDF/SVG metadata: PASS after sanitizing one embedded local source-file reference in figures/main/Fig1.pdf. Remaining creator/producer metadata names software only, such as Matplotlib or Adobe PDF library.
• Git history: FAIL FOR PARENT REPOSITORY. The parent repository history contains author names, emails, and a private remote path. Do not include .git in the anonymous ZIP.

Commands Tested

These commands were run from the release-tree root:

python scripts/verify_dataset.py --data data/sample/sparsewake_sample.h5
..\.venv\Scripts\python.exe scripts/train_temporal_mlp.py --config configs/main_v04.yaml --data data/sample/sparsewake_sample.h5 --quick
python scripts/reproduce_tables.py --results data/results --out tables
python scripts/make_main_figures.py --results data/results --out figures
python scripts/make_supp_figures.py --results data/results --out figures

Additional structural checks:

..\.venv\Scripts\python.exe -c "import sys; sys.path.insert(0,'src'); from sparsewake.data import load_h5; from sparsewake.features import raw_norm_features, build_design_matrix; d=load_h5('data/sample/sparsewake_sample.h5'); print(raw_norm_features(d['input']).shape); print(build_design_matrix(d, history=24)[0].shape)"
git log --all --format="%H %an %ae %s" -n 40

The default system python environment did not include torch; the repository virtual environment did. A fresh reviewer environment should install requirements.txt or environment.yml.

Files Changed During Audit

File	Change
src/sparsewake/features.py	Corrected raw_norm to match abm_sensing_dataset/experiments/sensing_v2/feature_builders.py: raw channels, normalized raw channels, and one denominator per time step.
src/sparsewake/splits.py	Corrected split helper to match run_sensing_v2_experiments.py::make_pose_holdout: held-out test poses via default_rng(seed).choice, then sklearn train/validation split within non-test samples.
requirements.txt, environment.yml	Added scikit-learn because the actual experiment split uses sklearn.model_selection.train_test_split.
scripts/verify_dataset.py	Added checksum verification option.
README.md	Added checksum verification to the sample verification command.
dataset_card.md	Corrected train/validation/test protocol wording.
docs/benchmark_protocol.md	Corrected split protocol wording.
evaluation_card.md	Corrected split protocol wording.
figures/main/Fig1.pdf, figures/main/Fig2.pdf, figures/main/Fig3.pdf	Added manuscript-compatible main figure PDFs; sanitized embedded source path in Fig1.
figures/supp/Fig4.pdf through figures/supp/Fig9.pdf	Added manuscript-compatible supplement figure PDFs.
tables/quick_train_metrics.json	Updated by smoke-test training.
AUDIT_REPORT.md	Added this report.
RELEASE_CHECKLIST.md	Added final upload checklist.
MANIFEST.json	Added generated file manifest.
data/checksums.sha256	Updated final checksums.

Unresolved Issues Before Upload

1. data/processed/download_manifest.json should contain relative paths or anonymous hosted paths for the full HDF5 files.
2. The parent repository .git history is not anonymous. The final review upload must contain only release-tree contents and must not include .git.
3. Exact CPU/GPU model, RAM, MATLAB version, and dataset-generation wall time were not logged in the frozen run. The artifact reports conservative wall-clock times for representative three-seed runs and marks hardware details as unknown.
4. The architecture-screen pilot is represented by summary CSV/config rather than a separate pilot HDF5 release. This is consistent with the manuscript role because the pilot is auxiliary; reviewers can reproduce benchmark evaluation from the released full processed HDF5 files.

Manuscript Statements Needing Revision

No numeric scientific result needed revision based on this audit.

Recommended non-scientific wording if the artifact is hosted outside the review system: state that the full processed HDF5 files are included directly in the anonymous dataset repository.