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Integrity report for Why Linear Recurrent Memory Works in Partially Observable 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:2605.31261 · pith:2026:ML6GFPHT5LDMXL4ONK7XDNJ6FM

0Critical
0Advisory
4Detectors run
2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 15:49:03.733760+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 06:55:43.510265+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 01:50:48.046082+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 01:35:04.508863+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/ML6GFPHT/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.