arXiv (All)
open access
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA
Existing defenses against hallucination in retrieval-augmented and multi-agent pipelines remain partial: evidence is trusted despite modality disagreement, debate verifies an aggregate report rather than individual claims, and such verification occurs only after drafting, leaving inter-agent errors
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MADBench: Benchmarking the Security of Multi-Agent Debate#1144113
- The Strength of Assertion#115355
- Testimony, pragmatics, and plausible deniability#759637
- Can AI Agents Agree to Disagree? Aumann's Theorem and the Epistemic Status of Machine Outputs#109482
- Next-Generation Mobile Banking Security: Federated Machine Learning and Post-Quantum Cryptographic Integration for Real-Time Threat Mitigation#119759
Record · ID 985211
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive