Yadnesh Salvi

Story · arXiv (via papers.cool)

LEDGER: Claim-to-Evidence Trace Graphs for Auditing LLM Agents (arXiv (via papers.cool))

paper · Story page

Three stacked layers: many small cards at the bottom, a few round grouping nodes in the middle, and one flag-topped node above, with connecting lines and one heavier path running from top to bottom.

LEDGER groups raw execution records into evidence and workflow nodes, with typed edges linking each claim an agent makes to the actions, artifacts, and checks behind it. The premise: as agents work faster, the bottleneck moves from producing outputs to auditing them.

In plain words

  • Researchers built Layered Evidence and Decision Graphs for Execution Review, or LEDGER, to link computer-generated claims with the work behind them.
  • It groups detailed activity records into larger pieces covering evidence and major work decisions.
  • Labeled connections show which actions, files, and checks support each conclusion.
  • Reviewers of coding and data work can trace conclusions faster and see missing checks or repairs.

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