AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning | Paper Citation Record

Observation 555d4bc3-5973-4008-a34b-93f3feeadeef · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-05-10T18:35:42.787215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e3730149-0aaa-4de8-9d76-6d10d57a639a · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:38:16.807702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 89c31fa7-cd1c-4f3e-a216-8892ee94ca9b · outbound

This paper cites SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.785479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6ceaf7e3-88c9-425a-b469-b0fd2efdd808 · outbound

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

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T18:35:42.782464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 612504cd-618f-4dc1-bc97-1f8a9ba18c8e · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 5

Resolution: verified exact; doi, observed 2026-05-10T18:35:42.780112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 28381a44-305c-466b-bb77-5e2a9510f0e5 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.176666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 53bcdb4e-be6f-467b-b0e2-8925dbc18e3d · outbound

This paper cites Generative Adversarial Networks.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Generative Adversarial Networks

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:04:41.117563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9ceb14ed-0e72-488d-b28c-24dc6cd5b530 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 8

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T18:35:42.771881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 79e668b3-21fe-4823-8993-c0dd9c8fac9e · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.178915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9f93e14f-c320-45cb-af65-dc7dc60ed86b · outbound

This paper cites DeepEyesV2: Toward Agentic Multimodal Model.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning DeepEyesV2: Toward Agentic Multimodal Model

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:32:29.694372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c897d2f2-18e4-430f-a727-240ee15273d3 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-05-10T18:35:42.778411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6d18e423-0c9a-407e-9942-72a534ef51b4 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:59:21.515346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7464a20f-e02b-4a3c-90cd-eb0f687a8529 · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:35:42.765900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c29a8d70-7e8e-4ad8-ace9-6050c8f40027 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.185702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f7b0a214-037b-4910-acce-9ad42651a385 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 15

Resolution: metadata mismatch; doi, observed 2026-05-10T18:35:42.770228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f7664d8d-a97d-498d-8e4d-7cada5343696 · outbound

This paper cites Induced and reduced unbounded operator algebras.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Induced and reduced unbounded operator algebras

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:35:42.763205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1d6495dd-5cb4-47a7-8a96-bff0912b5f13 · outbound

This paper cites OpenAI o1 System Card.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning OpenAI o1 System Card

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-10T18:35:42.774161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b3b3206d-5085-4b14-8939-cdaa56a4ebec · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.806735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation df3edc8e-09cb-4a5b-85fa-77fd4d933640 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.183611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5bd065dc-b4c2-4d0b-8dc4-54f048cb1552 · outbound

This paper cites InThe Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning InThe Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.163706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 960091db-734d-48dd-b3e7-53cee4d51daa · outbound

This paper cites In: CVPR.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning In: CVPR

Reference 21

Resolution: verified exact; doi, observed 2026-05-10T18:35:42.793997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c898dd6e-ba32-4e47-b95b-45ba1d9b8e51 · outbound

This paper cites An extension of HybridSynchAADL and its application to collaborating au- tonomous UA Vs.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning An extension of HybridSynchAADL and its application to collaborating au- tonomous UA Vs

Reference 22

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T18:35:42.828900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 53053af8-3691-418c-8401-6f9231a148a2 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.166917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f0d8ecce-cd96-46b8-a25d-d81acf0dc388 · outbound

This paper cites Proximal Policy Optimization Algorithms.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T00:25:50.977950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eec13199-30bd-4a19-bf98-cb0a845a807c · outbound

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

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T18:35:42.796444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 493a9237-f462-445e-a9d2-46d2f30dd91a · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.169359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 34c18d7a-66f8-43c1-86e5-9f7805a2f029 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.831274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 27ac83fd-5350-4bf3-887b-cff782d979e9 · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 28

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T00:25:50.984843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f8a60c81-0071-4415-958d-0250df17bfc7 · outbound

This paper cites Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:22:27.090901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 69c704df-206c-4d43-9ade-0b324064559a · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:35:42.801621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4364a12e-f1f2-4acd-a0f1-92a2ce898349 · outbound

This paper cites Qwen3-VL Technical Report.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Qwen3-VL Technical Report

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T18:35:42.820271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4beb5bd9-60b4-4bec-aad8-8e3b137bf4c9 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:38:16.805681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 14a10422-ad38-482b-86ec-43163e47c517 · outbound

This paper cites Chi, Quoc V.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Chi, Quoc V

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.145564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1f3e87f2-3491-4609-a0ec-8b177e8d9f8f · outbound

This paper cites AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.825362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9b0eb48b-870a-4861-a16e-0b840fac611a · outbound

This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Reference 35

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T18:35:42.810876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f1517022-504c-424c-bc17-2bc433818364 · outbound

This paper cites SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.804115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2a81a318-61b0-4e8e-babf-9e6a940c2534 · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:55:54.660411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation adae15b7-6889-48a5-bc7f-0bebf8b3f9c5 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 38

Resolution: verified exact; doi, observed 2026-05-10T18:35:42.826989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f67201a9-1faf-49ad-bb9d-e47fa470e8bc · outbound

This paper cites Narasimhan, and Yuan Cao.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Narasimhan, and Yuan Cao

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.160506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation af0e38fb-8e59-4f59-85ea-fbf5dbe04fcb · outbound

This paper cites Walk in the cloud: Learning curves for point clouds shape analysis, pp.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Walk in the cloud: Learning curves for point clouds shape analysis, pp

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:35:42.809161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fa370db3-1ab9-42c3-af1e-b22a6ec19e70 · outbound

This paper cites Efficient attention: Attention with linear complexities.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Efficient attention: Attention with linear complexities

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:35:42.813193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c213d234-9863-418b-9a83-d3a3614547cf · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.150378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6a1ed5b2-819c-477c-9146-815d76666caa · outbound

This paper cites Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.815614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f897ce2f-4a90-4ead-96ad-1e8423aeb9c5 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Emogen: Emotional image content generation with text-to-image diffusion models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T18:35:42.798987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4ac0ef9d-8f79-4db1-9c1d-af67c0742acb · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.152513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e55a0e34-853b-4c7b-90f2-27e2137d6f52 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Xing, Hao Zhang, Joseph E

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.154697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8db18c6e-83be-45cb-86ca-f8c5bc153613 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:42:57.181531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0851d81a-8a1c-4365-9033-dad6c8b67c4f · outbound

This paper cites MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:27:37.600084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f82464b5-4978-4e54-a994-0ad6efd2b5b2 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.180965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2ba3f325-1894-4878-9c39-b5b93e46abf5 · outbound

This paper cites Good Sample.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Good Sample

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-05-16T18:33:16.135728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c098d2f7-ece5-404c-99ad-c91a61e28d2d · outbound

This paper cites The anomaly must be placed where it would naturally occur in a real industrial scenario (e.g., scratches on contact surfaces, cracks at stress points).

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning The anomaly must be placed where it would naturally occur in a real industrial scenario (e.g., scratches on contact surfaces, cracks at stress points)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.157734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f3fcfa85-0d1e-4215-bc97-25b360327e95 · outbound

This paper cites Keep the rest of the image, including background, lighting, and global geometry, completely unchanged.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Keep the rest of the image, including background, lighting, and global geometry, completely unchanged

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.171918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ae969d96-3fb0-45df-9217-20cc0bf54ef6 · outbound

This paper cites {anomaly_type}.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning {anomaly_type}

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.130428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 71852776-acde-47d0-b14a-af633c8e1a3e · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.174104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation db9ba947-3307-4a95-b2cd-547f59160982 · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.147986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 74dac759-ba84-44dd-a6f3-2b5db45f45ea · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.138426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d2ccdcfd-8699-4ba1-8d0a-41ee8f07c7c3 · outbound

This paper cites Using the provided image, change only ... Keep the rest of the image unchanged.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Using the provided image, change only ... Keep the rest of the image unchanged

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.132988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fda44c3e-4a31-45f5-a836-c46c3213af4e · outbound

This paper cites an unresolved cited work.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:33:16.140720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c1b7de49-be31-4ef3-8752-4273071bf030 · outbound

This paper cites location_score.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning location_score

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:33:16.142819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers