Paper Citation Record · LEDGER

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 5 inbound Pith citation observations for arXiv:2504.19524.

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

pith.paper-citation-record.v1
2504.19524 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:54:46.933524Z

measured 51 of 51 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:40:09.107647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:01:18.017815Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33871b79-c53a-42af-9ff1-455849b0fcd3 · outbound

This paper cites Fully convo- lutional cross-scale-flows for image-based defect detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Fully convo- lutional cross-scale-flows for image-based defect detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.652046Z

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 86d09a8c-bc19-4c1d-be10-3fd70bea08e1 · outbound

This paper cites Patch svdd: Patch-level svdd for anomaly detection and segmentation,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Patch svdd: Patch-level svdd for anomaly detection and segmentation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.745023Z

Source-reported events for the cited work

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Observation cf54b973-1b17-466a-8440-26a12ef9b705 · outbound

This paper cites Reconstruction by inpainting for visual anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Reconstruction by inpainting for visual anomaly detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.630990Z

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 5be03be5-a9ea-490b-afe6-14cc6c687726 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Learning transferable visual models from natural language supervision,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.754363Z

Source-reported events for the cited work

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Observation 469ef7f2-c5a9-4048-84db-79ea86f4f9c2 · outbound

This paper cites AnomalyCLIP: Object- agnostic prompt learning for zero-shot anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning AnomalyCLIP: Object- agnostic prompt learning for zero-shot anomaly detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.608328Z

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 bdd91b03-4787-4170-a26d-d819f76689de · outbound

This paper cites Promptad: Zero-shot anomaly detection using text prompts,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Promptad: Zero-shot anomaly detection using text prompts,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.595150Z

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 34cf2953-05b5-4ff7-af31-51ab37f6665e · outbound

This paper cites APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.768232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68319d18-0b46-4f00-b2b7-fa4b5b06a704 · outbound

This paper cites Anomalygpt: Detecting industrial anomalies using large vision-language models,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Anomalygpt: Detecting industrial anomalies using large vision-language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.582943Z

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 85278377-d9b0-48d5-b92e-b044bf32c2f4 · outbound

This paper cites Vmad: Visual- enhanced multimodal large language model for zero-shot anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Vmad: Visual- enhanced multimodal large language model for zero-shot anomaly detection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.776796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7be7bfe-0e35-4f3c-b271-df97389eb7be · outbound

This paper cites Mvtec ad – a comprehensive real-world dataset for unsupervised anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Mvtec ad – a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.570819Z

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 1082df45-d366-458e-934e-5c8f09e1402a · outbound

This paper cites Spot-the- difference self-supervised pre-training for anomaly detection and seg- mentation,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Spot-the- difference self-supervised pre-training for anomaly detection and seg- mentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.558293Z

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 c45b0619-5368-40e8-aa45-f5d6af8fcfbf · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.788587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ce2a46-0fcc-4471-ad18-e06bc954507f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.792921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d06f1b-c5cf-406f-ad2a-24e82bf9d805 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Chain-of-thought prompting elicits reasoning in large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.544901Z

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 daca3830-211f-41a2-9a20-fb4c7f3a89f6 · outbound

This paper cites Deep industrial image anomaly detection: A survey,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Deep industrial image anomaly detection: A survey,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.802407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95f82be-e9b2-47b2-ae1b-8d54a35f1ae4 · outbound

This paper cites Im-iad: Industrial image anomaly detection benchmark in manufacturing,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Im-iad: Industrial image anomaly detection benchmark in manufacturing,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.806835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efc6af7-d67f-4b36-af89-5f8fc6922eed · outbound

This paper cites Anomaly detection of defect using energy of point pattern features within random finite set framework,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Anomaly detection of defect using energy of point pattern features within random finite set framework,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.515237Z

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 547b0e4a-af49-4f33-871e-5233ae52a970 · outbound

This paper cites Learning unsupervised metaformer for anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Learning unsupervised metaformer for anomaly detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.500542Z

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 9a613dd4-578a-490c-8c4b-90970b1d8204 · outbound

This paper cites Registration based few-shot anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Registration based few-shot anomaly detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.487889Z

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 4ebedb89-9665-4e90-99ac-eef1cde0e186 · outbound

This paper cites Towards total recall in industrial anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Towards total recall in industrial anomaly detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.476126Z

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 fd357693-e7af-4c2b-8d27-cf0c198657bb · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.827535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc7c2e1-0b6f-44c8-9966-357b37aa9947 · outbound

This paper cites Padim: A patch dis- tribution modeling framework for anomaly detection and localization,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Padim: A patch dis- tribution modeling framework for anomaly detection and localization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.463329Z

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 71678caf-1dbd-4966-8682-7f3d558db3cc · outbound

This paper cites Maeday: Mae for few- and zero-shot anomaly-detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Maeday: Mae for few- and zero-shot anomaly-detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.446388Z

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 93d9aadb-3020-4011-9417-a98ee2705248 · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Masked au- toencoders are scalable vision learners,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.839591Z

Source-reported events for the cited work

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Observation c6790831-200f-4b79-b407-e11b4bc18014 · outbound

This paper cites Winclip: Zero-/few-shot anomaly classification and segmentation,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Winclip: Zero-/few-shot anomaly classification and segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.421613Z

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 3983a0ed-9251-42d6-ad01-b5f5a770a0a0 · outbound

This paper cites Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.408169Z

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 42db89ef-1b1b-417a-829c-56168ea1dda9 · outbound

This paper cites Musc: Zero-shot industrial anomaly classification and segmentation with mutual scoring of the unlabeled images,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Musc: Zero-shot industrial anomaly classification and segmentation with mutual scoring of the unlabeled images,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.393918Z

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 b8d39734-5136-4488-8318-5110ebcd5278 · outbound

This paper cites A Survey on Foundation-Model-Based Industrial Defect Detection.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning A Survey on Foundation-Model-Based Industrial Defect Detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.856390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529ec67e-0c75-46c7-8f93-6a68075f5d93 · outbound

This paper cites MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.860607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c974a46-e07a-42a2-854e-a53f544147b4 · outbound

This paper cites Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.865200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a13d9106-fd40-4f3f-b237-c19d975f4ec4 · outbound

This paper cites Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.869723Z

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Observation 70fce9c2-4e50-47a1-a50f-c48c70e3b875 · outbound

This paper cites Logicad: Explainable anomaly detection via vlm-based text feature extraction,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Logicad: Explainable anomaly detection via vlm-based text feature extraction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.378633Z

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 3625495b-8852-40b5-a43d-b4ba5a723024 · outbound

This paper cites Logicode: An llm-driven frame- work for logical anomaly detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Logicode: An llm-driven frame- work for logical anomaly detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.363770Z

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

This paper cites EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models.

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

This paper cites AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection.

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 e1e47db8-2983-46a8-8045-010425e43ef7 · outbound

This paper cites LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.890283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aeaeeae-18b6-4fef-b4ad-23182ba4d9d6 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.894991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7656b10d-fe9f-44d2-822f-1c98af53e7a5 · outbound

This paper cites Focal loss for dense object detection,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Focal loss for dense object detection,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.899572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81c5dbe-4fcc-4791-ace1-8ea8450f5314 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.903329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb0fd99-b719-4316-9502-dd3fd7343f9f · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning LoRA: Low-rank adaptation of large language models,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.907501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0c9baf-de6d-4f1b-894e-c0254742c128 · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Flashattention-2: Faster attention with better parallelism and work partitioning,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.912006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672a7b22-c92a-4538-99d2-f7ba5261d31d · outbound

This paper cites Deepspeed data efficiency: Improving deep learning model quality and training efficiency via efficient data sampling and routing,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Deepspeed data efficiency: Improving deep learning model quality and training efficiency via efficient data sampling and routing,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.323781Z

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 a29bc6b1-70d7-4704-82c9-4660ed84e86e · outbound

This paper cites A systematic analysis of performance measures for classification tasks,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning A systematic analysis of performance measures for classification tasks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.309697Z

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 72833a32-4f96-4cb7-9a2e-a3726d93b37f · outbound

This paper cites Natural synthetic anomalies for self-supervised anomaly detection and localization,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Natural synthetic anomalies for self-supervised anomaly detection and localization,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.297229Z

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 92255839-596c-4d8e-9e34-1acbe978c9f3 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:47.283911Z

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 2bf0af13-0200-4be9-9085-4ab95e820d65 · outbound

This paper cites P ´erez, M.

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning P ´erez, M

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:46.933524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a606a82d-2e84-4faf-9b0c-f88a7abed14f · 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 LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:09.107647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6358c6ad-e6ad-49f3-aec2-bcdf4dd6d28c · inbound

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

AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:01:18.019429Z

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 86223660-8fd7-4b36-a76e-380723bc30ad · 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 LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:06:38.099459Z

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 7b8bab53-ef24-440f-89d9-893dc4286234 · 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 LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:55:33.292027Z

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.

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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 LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning

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