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RECON: A Recipe-Driven, Evidence-Fused, Neuro-Symbolic Multi-Agent Architecture for Autonomous Document Compliance Auditing across Heterogeneous Enterprise Repositories

2026-07-21

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<title>Abstract</title> <p>Document compliance review in regulated organisations stays slow, uneven and hard to defend, because human reviewers disagree on borderline clauses and rarely record a verifiable account of why a document passed or failed (Morande & Shah, 2020; Lipton, 2018). Rule-only engines read precisely yet miss paraphrase, while pipelines built only on a Large Language Model (LLM) read flexibly ye...

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Literature Corpus work: d63c1b05-0c5f-5e7f-af43-1f5cdbaecc8c
DOI: 10.21203/rs.3.rs-10259383/v1

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