Paper Citation Record · LEDGER

AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2504.11914.

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

pith.paper-citation-record.v1
2504.11914 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:54:46.885915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.046405Z

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 e6bd7a1a-c41f-4282-8fd8-063aba9a75ea · inbound

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

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.885915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3355f90a-119c-437b-b7bb-838314bc3c59 · inbound

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

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:57.635131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9db3fcc-f3cb-4f5c-a685-2d35d9a36ffb · 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 AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:08.901123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d457a7fd-5db9-4127-adfc-e19a8219c197 · 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 AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:53:23.177487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326df01e-f706-4a4e-93c2-d7492378f89c · inbound

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation cites this paper.

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:01:17.992892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db978b2a-e1e2-4eea-b2ef-c9ce2758cf0d · inbound

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning cites this paper.

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:10:32.047937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4e16b81-f00d-443d-834b-d4bdea4e2d0e · 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 AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:06:38.120879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce5c55d0-bbaf-4405-816d-7eab6fcf94d4 · inbound

Topo-R1: Detecting Topological Anomalies via Vision-Language Models cites this paper.

Topo-R1: Detecting Topological Anomalies via Vision-Language Models AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:45:32.867019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b03a3b66-eb1a-4d44-bd3f-da79f8cc604f · 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 AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:55:33.344038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24d9801a-6a0b-4eb9-bc46-6c35e92ff2c0 · inbound

MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection cites this paper.

MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:26.485832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13b48f17-1f37-42e4-9598-b2361b0c68c0 · inbound

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools cites this paper.

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.466776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29efe57e-9b06-4554-8462-b1ef55882ff3 · inbound

AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection cites this paper.

AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:14.934769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95463d59-62e4-43a4-948d-f7756b2f49bc · 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 AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 188

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.048657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a16fb88a-b39b-4ada-bf8e-992670bfa17f · inbound

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection cites this paper.

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T06:01:58.407747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65fb628-7059-4772-a0e7-37e12e3e0ed3 · inbound

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection cites this paper.

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T23:45:43.436443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52aec8ab-a827-4325-8f4c-7fca298a2578 · inbound

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection cites this paper.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.660622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.