Paper Citation Record · LEDGER

EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.14162.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.14162 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:54:46.881574Z

measured 0 of 1 external citation measurements

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 eb7a1342-3a38-46de-9a22-e189d43f9298 · inbound

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning cites this paper.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.881574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.