A Large-Scale Measurement of AI Bill of Materials Completeness in Hugging Face Models
Pretrained machine learning (ML) models help developers build ML-intensive software systems without training models from scratch. However, model repositories often provide incomplete machine-readable documentation about model provenance, licenses, datasets, limitations, and external references, creating transparency and governance gaps across the AI supply chain. Artificial Intelligence Bills of Materials (AIBOMs) address these gaps by documenting AI artifacts, including models, metadata, licenses, datasets, model-card information, and external references. Taking public Hugging Face (HF) model
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 27%huggingface/transformers →
“Possibly related via embedding similarity 0.60 (not asserted). Timestamp check: artifact slightly before paper (-17d).”
- PossiblePossibly related (embedding) · 27%huggingface/datasets →
“Possibly related via embedding similarity 0.58 (not asserted). Timestamp check: artifact slightly before paper (-17d).”
- PossiblePossibly related (embedding) · 64%AI.cc Now Supports 500+ Hugging Face Open-Source Models via Unified API - The National Law Review →
- PossiblePossibly related (embedding) · 61%AI.cc Now Supports 500+ Hugging Face Open-Source Models via Unified API - EIN Presswire →
- PossiblePossibly related (embedding) · 59%AI.cc Now Supports 500+ Hugging Face Open-Source Models via Unified API - EIN News →
- PossiblePossibly related (embedding) · 59%Hugging Face’s CEO on why companies are done renting their AI →
- FuzzyOverlapping authors or contributors · 62%ultralytics/yolov5 →
“Shared author/contributor keys: ryan”
- LinkedLinked via arxiv author · 85%Md Erfan →
“A Large-Scale Measurement of AI Bill of Materials Completeness in Hugging Face Models”