pith. sign in

Integrity report for Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles

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

arXiv:2605.19775 · pith:2026:YY6JZTQLN2VHEINS4SW555J777

0Critical
0Advisory
6Detectors run
2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 06:23:19.653068+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 02:57:51.515156+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 02:32:25.335459+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 11:49:47.936270+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 07:54:10.023647+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 01:33:27.213552+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/YY6JZTQL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.