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Paper Citation Record · LEDGER

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.18142.

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

pith.paper-citation-record.v1
2607.18142 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:56:45.318431Z

measured 55 of 55 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

55 of 55 outbound references displayed

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Outbound references

Observation 0eab0721-423f-4110-a56e-81e029fad937 · outbound

This paper cites Qwen3-VL Technical Report.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Qwen3-VL Technical Report

Reference 1

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Observation 2e637c64-a5cf-4643-be4e-6a5a810f2936 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning SAM 3: Segment Anything with Concepts

Reference 2

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 3

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Observation 2ff2117a-0580-45fe-985a-1de238e89ff3 · outbound

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

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 4

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Observation 38d05eb1-269a-4901-adf6-12eef4dc94bf · outbound

This paper cites Expert Systems with Applications271, 126581 (2025).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Expert Systems with Applications271, 126581 (2025)

Reference 5

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Observation 51b2f00c-fe43-4c03-a955-c9b328fbf16b · outbound

This paper cites In: International conference on pattern recognition.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: International conference on pattern recognition

Reference 6

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This paper cites In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 7

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Observation 04989302-31d5-45e9-b08b-b98964c79042 · outbound

This paper cites Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection

Reference 8

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Observation c6d85c57-3e9c-498b-b8eb-a425f8747e8d · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 9

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This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the AAAI conference on artificial intelligence

Reference 10

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Observation 31e1deae-a342-4ed4-bd17-c669129d9539 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 11

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Observation ab0d62e8-a914-4b89-9822-e8583f8a77d3 · outbound

This paper cites Advances in Neural Information Processing Systems37, 71162– 71187 (2024).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Advances in Neural Information Processing Systems37, 71162– 71187 (2024)

Reference 12

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Observation a26ae69e-cf53-4787-ae64-f6cfaea81c9c · outbound

This paper cites In: Proceedings of the 30th ACM international con- ference on multimedia.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the 30th ACM international con- ference on multimedia

Reference 13

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This paper cites Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

Reference 14

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This paper cites In: Pro- O-VAD 17 ceedings of the IEEE/CVF winter conference on applications of computer vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Pro- O-VAD 17 ceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 15

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Observation 65bede4b-d7a3-4a98-8cfb-0c5229e0b49c · outbound

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

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection

Reference 16

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Observation da51f965-c5a5-42e3-ae7e-e590c43680ef · outbound

This paper cites Advances in Neural In- formation Processing Systems35, 15433–15445 (2022).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Advances in Neural In- formation Processing Systems35, 15433–15445 (2022)

Reference 17

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This paper cites In: The Fourteenth International Con- ference on Learning Representations (2026).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: The Fourteenth International Con- ference on Learning Representations (2026)

Reference 18

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 19

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This paper cites In: European Conference on Computer Vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: European Conference on Computer Vision

Reference 20

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This paper cites arXiv preprint arXiv:2506.02535 (2025).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning arXiv preprint arXiv:2506.02535 (2025)

Reference 21

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This paper cites Advances in Neu- ral Information Processing Systems38, 148372–148404 (2026).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Advances in Neu- ral Information Processing Systems38, 148372–148404 (2026)

Reference 22

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O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the Computer Vision and Pattern Recogni- tion Conference

Reference 23

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This paper cites arXiv preprint arXiv:2511.00962 (2025).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning arXiv preprint arXiv:2511.00962 (2025)

Reference 24

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This paper cites In: 2025 International Conference on Advanced Robotics and Mechatronics (ICARM).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: 2025 International Conference on Advanced Robotics and Mechatronics (ICARM)

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This paper cites IEEE Transactions on Circuits and Systems for Video Technology35(1), 380–393 (2024).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning IEEE Transactions on Circuits and Systems for Video Technology35(1), 380–393 (2024)

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This paper cites In: Proceedings of the 27th ACM International Conference on Multimedia.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the 27th ACM International Conference on Multimedia

Reference 27

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning High-Quality Entity Segmentation

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O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: International conference on machine learning

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O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning SAM 2: Segment Anything in Images and Videos

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning OpenAI GPT-5 System Card

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This paper cites In: 2023 IEEE International Conference on Multimedia and Expo (ICME).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: 2023 IEEE International Conference on Multimedia and Expo (ICME)

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This paper cites arXiv preprint arXiv:2511.04678 (2025).

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning arXiv preprint arXiv:2511.04678 (2025)

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Observation 075d4961-8256-402f-bee1-6e675954805c · outbound

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

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 36

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Observation 60300efa-4d05-458e-9a06-e672613b9359 · outbound

This paper cites In: European Conference on Computer Vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: European Conference on Computer Vision

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Observation 73907005-9c15-4073-b494-e637c84dd70e · outbound

This paper cites Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Reference 38

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Observation d4550672-5134-4efb-b8db-862e98ad4907 · outbound

This paper cites In: Proceedings of the 32nd ACM International Conference on Multimedia.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the 32nd ACM International Conference on Multimedia

Reference 39

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Observation b0069403-b19c-4208-b144-daf135324590 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 40

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Observation 3c4430a1-9753-4c1e-962e-bdb710cc8fda · outbound

This paper cites an unresolved cited work.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Unresolved cited work

Reference 41

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Observation f1067331-7b57-4c1b-a96d-d485c8e6f623 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 42

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Observation 22ed0fd1-9eda-4ad2-bbff-7ffcd4198b4a · outbound

This paper cites an unresolved cited work.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Unresolved cited work

Reference 43

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Observation a9d14b84-36b2-4986-9471-7690db7ca0bc · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 44

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Observation db536c50-f8a5-4cc9-bb04-df4b5617fcb5 · outbound

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

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning

Reference 45

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Observation d9b3a7af-22ac-4b7b-86b0-3caf5a298089 · outbound

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

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation

Reference 46

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Observation c5808f27-be6f-4bdd-8906-f69d2cae004b · outbound

This paper cites Advances in neural information processing systems36, 46595–46623 (2023) O-VAD 19.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Advances in neural information processing systems36, 46595–46623 (2023) O-VAD 19

Reference 47

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Observation e38028c4-39f9-41e9-a8c5-8f3ad0eb4dfa · outbound

This paper cites VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning

Reference 48

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Observation d9188239-87b2-4089-9323-63d96b872ae3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 49

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Observation 38b33f7d-f81f-4774-a5b9-a05f306fe492 · outbound

This paper cites an unresolved cited work.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Unresolved cited work

Reference 50

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Observation cad663dc-6b87-44d3-9c06-3c0e158b50f7 · outbound

This paper cites an unresolved cited work.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Unresolved cited work

Reference 51

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Observation 924e3b55-fcd4-4f53-bd13-9c12daa84856 · outbound

This paper cites screw” and “screw thread.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning screw” and “screw thread

Reference 52

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source=pdf_text observed=2026-08-01T15:56:45.058017Z digest=sha256:5bd835bfe3dc17d4a8901126d8849ded775a8b807c69e095213faf503e157288

Observation 90ccb93e-5747-4d80-9593-655aaf116b77 · outbound

This paper cites an unresolved cited work.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Unresolved cited work

Reference 53

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Observation 69a0ece4-ad4b-47cf-886a-7e0baccf232c · outbound

This paper cites an unresolved cited work.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-01T15:56:45.216366Z digest=sha256:a4069281f267d48298659efce28225129ec60a37a1019e8f9ed63f2a1da10952

Observation 9e968a37-e5b5-496f-98c7-cb9609f20343 · outbound

This paper cites "role":.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning "role":

Reference 55

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Pith citing papers

No inbound Pith citation observations are available.