State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation
英文标题：State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation
arXiv:2607.18265v1 Announce Type: new Abstract: Long-running Large Language Model (LLM)-based agents often accumulate large intermediate traces containing audits, eliminations, and numeric calculations. In practice, this state is compressed before handing it to a downstream decision step, creating
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arXiv:2607.18265v1 Announce Type: new Abstract: Long-running Large Language Model (LLM)-based agents often accumulate large intermediate traces containing audits, eliminations, and numeric calculations. In practice, this state is compressed before handing it to a downstream decision step, creating
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