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The author releases Chronoformal Closure Theory (CCT), a new mathematical framework showing that problems like realizability, minimal observation, and state compression reduce to finite combinatorial structures, with potential implications for AI agents. The release includes proofs, code, and a partial Lean formalization, inviting independent mathematical scrutiny.
This paper evaluates hand-off compression in a two-agent LLM relay for travel planning, comparing methods like JSON extraction and narrative summarization, finding that structured representations preserve constraints better.