Integrity report for Joint Communication and Computation Scheduling for MEC-enabled AIGC Services: A Game-Theoretic Stochastic Learning Approach

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

arXiv:2605.22277 · pith:2026:FXGYLRSXWKELXIHPIAFNK2BL7L

0Critical

0Advisory

7Detectors run

2026-05-29Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 04:47:25.117459+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-29 03:39:00.833696+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-29 03:03:45.313281+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 12:44:27.714059+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 17:52:09.664865+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-23 17:51:29.950288+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 10:22:41.112006+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FXGYLRSXWKELXIHPIAFNK2BL7L/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.