JaguarIdentification/DiagnosticFramework

0

stars

1

commits

Python

primary language

Apr 6, 2026

updated

README

ArXiv Core Claims Code Bundle

This repository subset packages the code paths behind the public jaguar ReID ArXiv core claims and key experiment families.

Included Scope

  • Axis-1 and Axis-2 claimset pipeline (manifest build, per-cell execution, aggregation).
  • Claim gating and provenance tooling (paired AP/CMC significance, go/no-go checks, provenance and SoT helpers).
  • Key benchmark families used in the paper narrative: ArcFace, Lorentz, and Triplet.
  • ArXiv table traceability assets and deterministic CSV to TeX row export adapter.
  • Optional HPI SLURM templates under remote_setup/templates/ with placeholder paths.

Not Included

  • Heavy datasets, checkpoints, W&B exports, and large canonical result bundles.
  • Exploratory and legacy experiment branches not required by the core claims path.

Quick Start

python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Smoke and contract checks:

python3 tools/verify_release_bundle.py --bundle-root .

Tiny local claimset flow (mocked inputs):

python3 tools/run_tiny_claimset_smoke.py --bundle-root . --workdir ./tmp_smoke

ArXiv table row export from canonical CSV artifacts:

python3 tools/export_arxiv_table_rows.py \
  --canonical_root /path/to/canonical_axis12_test_bundle \
  --output_dir ./generated_tables

Main References

  • CLAIM_TO_CODE_MATRIX.csv
  • CLAIM_TO_CODE_MATRIX.md
  • REPRODUCIBILITY.md
  • EXPERIMENT_SCOPE.md

Contributors

andandandand

1 commits

JaguarIdentification/DiagnosticFramework

0

stars

1

commits

Python

primary language

Apr 6, 2026

updated

README

ArXiv Core Claims Code Bundle

This repository subset packages the code paths behind the public jaguar ReID ArXiv core claims and key experiment families.

Included Scope

  • Axis-1 and Axis-2 claimset pipeline (manifest build, per-cell execution, aggregation).
  • Claim gating and provenance tooling (paired AP/CMC significance, go/no-go checks, provenance and SoT helpers).
  • Key benchmark families used in the paper narrative: ArcFace, Lorentz, and Triplet.
  • ArXiv table traceability assets and deterministic CSV to TeX row export adapter.
  • Optional HPI SLURM templates under remote_setup/templates/ with placeholder paths.

Not Included

  • Heavy datasets, checkpoints, W&B exports, and large canonical result bundles.
  • Exploratory and legacy experiment branches not required by the core claims path.

Quick Start

python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Smoke and contract checks:

python3 tools/verify_release_bundle.py --bundle-root .

Tiny local claimset flow (mocked inputs):

python3 tools/run_tiny_claimset_smoke.py --bundle-root . --workdir ./tmp_smoke

ArXiv table row export from canonical CSV artifacts:

python3 tools/export_arxiv_table_rows.py \
  --canonical_root /path/to/canonical_axis12_test_bundle \
  --output_dir ./generated_tables

Main References

  • CLAIM_TO_CODE_MATRIX.csv
  • CLAIM_TO_CODE_MATRIX.md
  • REPRODUCIBILITY.md
  • EXPERIMENT_SCOPE.md

Contributors

andandandand

1 commits

Languages

Python

85.4%

TeX

11.9%

Shell

2.7%