pith. sign in

Integrity report for Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards

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

arXiv:2605.14117 · pith:2026:WTB52ZRBMY3ZABR43EZHIM2ZMO

0Critical
0Advisory
4Detectors run
2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 09:31:40.929026+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 07:27:42.134238+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 18:22:10.389399+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 07:35:17.594106+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WTB52ZRB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.