LEDGER: Claim-to-Evidence Trace Graphs for Auditing LLM Agents
Large language model (LLM) agents can now carry out long-horizon technical workflows involving complex tool use, code execution, file edits, and generated artifacts. As agents do more work faster, the productivity bottleneck shifts from producing outputs to auditing whether those outputs are correct and trustworthy. Ag...
Daehong Kim, Hai-Chao Miao, Shu-Sen Liu
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