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colt-related-work

Use when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the parallel-submission rules.

COLT-Skills/skills/colt-related-work/SKILL.md

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# COLT Related Work

At COLT, related work is quantitative: the reviewer wants to know exactly which bound,
in exactly which model, your result improves, matches, generalizes, or separates.
Prose adjacency ("much work has studied bandits") is filler; a rates table is
evidence. Use this skill to build the comparison and to keep it eligible under the
current CFP's overlap rules.

## The known-vs-new ledger

For each of your main results, fill one row per nearest prior result:

| Prior result | Model / assumptions | Their bound | Your bound | Delta type |
|---|---|---|---|---|