I've written a format specification paper for .faf (AI project context format) and need an arXiv endorser for cs.AI or cs.SE category.
Background:
- Built .faf to solve 0-55% AI context completeness problem
- Official Anthropic MCP integration (PR #2759)
- 8,800+ npm downloads, 800+ weekly users
- Cross-platform validated (Claude 9.5/10, Codex 9/10, Gemini 9.5/10)
- IANA media type registration submitted
- IETF Internet-Draft ready
The paper documents the format specification, validation methodology, and production deployment metrics (10-13 pages).
First-time arXiv submitter, so I need endorsement from someone with publication history in cs.AI or cs.SE.
Does anyone here:
- Have arXiv endorsement capability in these categories?
- Know someone who might be interested in reviewing?
- Have suggestions for finding endorsers?
The format is open source (MIT), production-deployed, and addresses real infrastructure gaps in AI-assisted development.
1 comment
[ 2.7 ms ] story [ 12.9 ms ] threadBackground: - Built .faf to solve 0-55% AI context completeness problem - Official Anthropic MCP integration (PR #2759) - 8,800+ npm downloads, 800+ weekly users - Cross-platform validated (Claude 9.5/10, Codex 9/10, Gemini 9.5/10) - IANA media type registration submitted - IETF Internet-Draft ready
The paper documents the format specification, validation methodology, and production deployment metrics (10-13 pages).
First-time arXiv submitter, so I need endorsement from someone with publication history in cs.AI or cs.SE.
Does anyone here: - Have arXiv endorsement capability in these categories? - Know someone who might be interested in reviewing? - Have suggestions for finding endorsers?
The format is open source (MIT), production-deployed, and addresses real infrastructure gaps in AI-assisted development.
Paper available upon request. GitHub: https://github.com/Wolfe-Jam/faf
Any help or pointers appreciated!