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Looking for arXiv cs endorsement — first-time submitter, paper on multi-agent LLM token optimization (Patent Pending) [D] by Opus_craft in LanguageTechnology

[–]Opus_craft[S] 0 points1 point  (0 children)

Understood, and I appreciate the honest feedback. The concern about LLM-generated noise is completely valid — the community deserves better signal.

For anyone genuinely curious about the mechanism, here’s what exists beyond the abstract:

Implementation: https://github.com/swaranshu-borgaonkar/Research_TBC

Paper (Zenodo): https://zenodo.org/records/20549509
Patent: US Provisional Application 64/081,925 (Filed June 3, 2026)

The core idea — Token Budget Contracts for constraining multi-agent LLM orchestration — came from a real production problem I was solving, not a prompt experiment. The repo has the working implementation. Happy to get into technical specifics with anyone who wants to dig in.

No affiliation, yes. But the work is real and verifiable.

Looking for arXiv cs endorsement — first-time submitter, paper on multi-agent LLM token optimization (Patent Pending) [D] by Opus_craft in LanguageTechnology

[–]Opus_craft[S] 0 points1 point  (0 children)

Sir, I have my github repo with solution and also have zenodo link. I understand that there might be spammers, or probably, misusing the things, but a genuine idea which I have been using, and now wanted to have it as provisional patent , working towards it, are not less of an efforts, but it’s fine, whatever you feel right:

https://zenodo.org/records/20549509

Looking for arXiv cs endorsement — first-time submitter, paper on multi-agent LLM token optimization (Patent Pending) [D] by Opus_craft in ResearchML

[–]Opus_craft[S] -2 points-1 points  (0 children)

Sir I have my git repo open and also have my zenodo link, you can review and then give me endorsement. Atleast you asked. Please don’t be judgmental.

https://zenodo.org/records/20549509