Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FD-LLM: Large Language Model for Fault Diagnosis of Machines
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.01218.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:34:18.817340Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:11:05.227190Z
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 a46e01d3-63ec-4667-a1fb-ed459d47822d · inbound
Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework cites this paper.
Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework FD-LLM: Large Language Model for Fault Diagnosis of Machines
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:34:18.817340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2776cae5-9209-482f-8f80-78fc2a8620e8 · 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 FD-LLM: Large Language Model for Fault Diagnosis of Machines
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:34:06.316530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 732381ac-4774-48b0-bcaf-99edfff1ce67 · inbound
YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts cites this paper.
YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts FD-LLM: Large Language Model for Fault Diagnosis of Machines
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:11:05.228832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.