Integrity report for End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2506.02718

0Critical

0Advisory

0Detectors run

—Last checked

Paper page arXiv integrity.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2506.02718/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.