Integrity report for ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference

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

arXiv:2606.01806 · pith:2026:BJVIKJWUD6OUU6XT7QC7OQGRX6

0Critical

0Advisory

4Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 10:49:23.166061+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-02 21:50:57.881861+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 14:56:20.855552+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 02:35:14.254937+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BJVIKJWUD6OUU6XT7QC7OQGRX6/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.