Paper Citation Record · LEDGER

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.19070.

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

pith.paper-citation-record.v1
2310.19070 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:34:14.316517Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T15:09:55.219310Z

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 640a3a50-dea1-4a78-a7e6-b9c0a68e8aaf · inbound

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization cites this paper.

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:08:21.123265Z

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.

Observation bf4fa0cc-04bc-4ff3-b45f-41790c781bbb · inbound

Foundation Models for Anomaly Detection: Vision and Challenges cites this paper.

Foundation Models for Anomaly Detection: Vision and Challenges Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T16:34:14.316517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37840bce-a1fc-405a-8bf4-ea6ef0c14a97 · inbound

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:01.141824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e9ef81-3a1b-43b2-b8b4-e6b453c50007 · inbound

A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories cites this paper.

A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:52:16.102911Z

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.

Observation e1d38f56-05e5-4ca2-b905-e9bc1153908d · 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 Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:09.030806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e7bdead-8e76-4d52-acca-d2d9a4503119 · inbound

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization cites this paper.

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T00:53:25.112065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fcd6ea0-8964-41fd-b227-d8425d5ebd32 · 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 Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:06.605200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4323d0d1-4c14-451f-8990-b9cf7c745577 · inbound

EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models cites this paper.

EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:06:38.086648Z

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.

Observation cecc735a-2fef-4937-985d-71166ec512bd · inbound

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models cites this paper.

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:00.952428Z

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.

Observation b59ea989-38e5-49a2-91a8-99c40633d584 · inbound

IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation cites this paper.

IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:07.324726Z

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.

Observation 115d329e-113c-43e8-a390-62e7f43568e7 · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.221392Z

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.