A Channel-Boosted Multi-Agent System with Iterative Consultation for Document Sensitivity Classification
3.00T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.22212.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPaper presents IC-MAS, a multi-agent system for sensitivity classification of long documents. A Channel Critic Agent weights two fixed-window encoders; paired Consultation Agents iteratively exchange belief states to reconcile evidence from the start and end of documents. Reports 90.72% accuracy and 92.01% sensitive recall with ~54% less computation than a fixed-round baseline.
Why it mattersThe paired-agent iterative-consultation pattern offers a way to handle long-document reasoning without paying long-context compute costs, applicable beyond sensitivity classification.
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