Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.15481.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:22.541080Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T00:16:16.768632Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c0b3e876-98ad-458f-97c4-6a9bb4dd01f7 · inbound
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios cites this paper.
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:54:22.541080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d1cff0a-6989-41f1-89ed-afd8af98c898 · inbound
Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation cites this paper.
Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:57:53.655217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97140fec-ddb6-457f-acb8-488b05307090 · inbound
PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments cites this paper.
PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:34:12.894833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.