Integrity report for Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction

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

arXiv:2605.19975 · pith:2026:5WWBXCX56NAYJBGAKRC4MTIGVM

0Critical

0Advisory

7Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 07:33:07.390687+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 07:31:38.603351+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 03:22:20.427876+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 21:49:53.589338+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 07:51:07.515156+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 05:52:00.093449+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:27.956692+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5WWBXCX5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.