Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large 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:2503.14162.
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 2026-08-06T12:40:09.126875Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T11:55:33.362256Z
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 1ae09957-90b8-4934-9624-6cb90b19a291 · inbound
EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO cites this paper.
EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:40:09.126875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e3193b8-6261-4cd9-8ca6-f62b246ddefe · inbound
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison cites this paper.
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:55:33.364211Z
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.
Observation a6b22d11-e994-4dab-b9a1-c5cbb17b1568 · inbound
AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation cites this paper.
AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Reference 54
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-12T06:36:26.189734Z
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.