Could you share _your_ work though? It's always interesting to see new approaches to metadata.

Traditionally, it was a bit of a one-way street (data comes from publisher) but there's some interesting work being done by COMET [0] and (separately) OpenAlex [1] around cleanup of the publisher-supplied data within the community.

(I used to work at Crossref; am a little involved with COMET)

[0] https://www.cometadata.org/

[1] https://openalex.org/

APIs Used OpenCitations API (v2)

Endpoint: https://opencitations.net/index/api/v2/references/ Purpose: Retrieves a list of all references from a paper by its DOI Data format: JSON containing cited DOIs and metadata DOI Content Negotiation

Endpoint: https://doi.org/{DOI} Purpose: Fetches metadata and formatted citations for DOIs Formats: BibTeX, RIS, CSL JSON, RDF XML, etc. Implements CSL (Citation Style Language) for text-based citations Local Citation Style Files

Purpose: Provides access to thousands of citation styles Storage: Pre-generated JSON files with style information

Where it helps

- Deep-dive reading – fetch bulk RIS file and dump a seminal paper’s entire bibliography into Zotero/Mendeley and follow the threads.

- Bulk citing – grab BibTeX's for a cluster of related papers without hunting them down one-by-one.

- LLM grounding – feed language models a clean reference list so they stop hallucinating citations.