Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:10.893161Z
Paper Citation Record · LEDGER
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
As of 14 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 7 inbound Pith citation observations for arXiv:2505.23504.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:30:09.739341Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:55.181821Z
Reference resolution
65 of 65 outbound references displayed
- verified exact1
- verified fuzzy13
- unresolved50
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d777fd5c-e817-43e5-86c5-08d3e222913d · outbound
This paper cites Acsintoae, A.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Acsintoae, A
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:19.624799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7874a0b1-edcf-44cb-873a-5a80d63d5f4b · outbound
This paper cites Qwen2.5-VL Technical Report.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Qwen2.5-VL Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:04.444069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5a5ef81-af3f-4d2f-8dbd-76ee38a01c23 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:04.591475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51731ea3-e5bb-4b94-9baf-2eacf5e1ad92 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:19.348469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bf806961-ef26-4892-9b93-709e79342b68 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:19.018860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e2c37fda-9d9a-40d9-8ba6-5c5b3da68a5e · outbound
This paper cites Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:04.957362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6d793d6-64c0-43cd-aca7-3970fb26bba3 · outbound
This paper cites Doshi and Y.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Doshi and Y
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:18.725114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4231742c-f60e-4914-8548-01b4754450d2 · outbound
This paper cites Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:05.159474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 943d3784-ee89-4fd1-958e-859636f6cf70 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:18.550744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad4149fd-562f-4f14-9bf6-7e84cc86c15b · outbound
This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Video-R1: Reinforcing Video Reasoning in MLLMs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:05.420338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80fcf082-dc98-41db-b446-6559a9a3d953 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:18.324385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5f4d6eaf-4f13-4de0-b84a-e48abe2dba28 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:05.633999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7eb5e612-b866-4f2e-a759-2bf923056068 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:18.174011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation afd05d18-4b63-40d2-9dac-378480bfd54b · outbound
This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:05.869950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27a03169-2407-4b01-ae28-81684db9b119 · outbound
This paper cites OpenAI o1 System Card.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning OpenAI o1 System Card
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:05.970854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcfb57ac-e0d8-425c-8227-26d7a353a1b6 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:17.944852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0ed9d90f-79aa-4cec-9f55-8a61297044ca · outbound
This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:06.206753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2438af7-2534-40bf-b70a-cc0eeb7fcca8 · outbound
This paper cites DeepSeek-V3 Technical Report.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning DeepSeek-V3 Technical Report
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:06.309498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35d91bfb-d506-40ce-b915-6c06408b40e3 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:17.634195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1b016e1f-4523-4c3c-b196-758f3b088e25 · outbound
This paper cites Liu and H.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Liu and H
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:17.471759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d1f0a0a9-d51c-4bb3-8ee0-12ac7d693bde · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:17.285466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0b3b8f5f-eae3-4ec4-b89c-cdc9d1b3cad9 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:17.082211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d9eace42-bd79-4c71-ac2c-767ef670dc03 · outbound
This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Visual-RFT: Visual Reinforcement Fine-Tuning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:06.820886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63de6616-7020-49b5-8650-172d4a9fc8eb · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:16.929597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 28ab48ca-3ab9-47d6-9611-be441ebd27b3 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:16.681800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2e95fe7f-147b-4f0d-9287-6c93387b9bce · outbound
This paper cites Video Anomaly Detection and Explanation via Large Language Models.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Video Anomaly Detection and Explanation via Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:07.271026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79f3b225-d024-4c80-a6bf-e58ab3932117 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:16.463125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 16f3901f-e8ed-49b9-b05f-a1a4add36e64 · outbound
This paper cites Ramachandra and M.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Ramachandra and M
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:16.269644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7903dab7-6368-47ba-a3b4-35860b29a472 · outbound
This paper cites Rodrigues, N.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Rodrigues, N
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:16.113819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 515c9c34-a5ff-481a-921e-47ca1028efb5 · outbound
This paper cites EventVAD: Training-Free Event-Aware Video Anomaly Detection.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning EventVAD: Training-Free Event-Aware Video Anomaly Detection
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:07.899761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97b5b713-0229-4806-9637-3cc0ded14049 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:08.038233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ac03b99-54c8-4a5c-9dbd-1660fa768135 · outbound
This paper cites Simonyan and A.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Simonyan and A
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:15.921984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6c033e67-529b-4de6-8cc5-34dc6a928766 · outbound
This paper cites Sultani, C.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Sultani, C
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:15.768268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38802deb-1671-45e2-b015-a79df630b1c8 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:08.286870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c01a50fd-30f1-4aee-bae6-8dc4f69eb164 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:15.597672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 867e2839-36f0-4c67-93c9-8a0365fbfa8d · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:15.414077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5f712dda-6b04-4492-b089-bc24244f41f9 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:15.242950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8bcf69a0-1a6b-44e6-8f25-fd29f6c249a6 · outbound
This paper cites Vijay, W.-X.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Vijay, W.-X
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:15.086951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 55a2c6c2-84f8-4f17-bae0-70c73126fc92 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:14.902558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38e675ed-22a5-408e-a881-3d6b932b0338 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:14.724008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5c692979-4dfb-44c4-9815-447c5fb78db7 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:08.886125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e94b99a-ad51-4f8f-bb28-d92a18b05870 · outbound
This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:08.957648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8c97ad0-c755-4721-8a83-0277c7af3103 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:14.524296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b6d9c613-0904-4d5a-a580-5f93e58da5bd · outbound
This paper cites Deep Learning for Video Anomaly Detection: A Review.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Deep Learning for Video Anomaly Detection: A Review
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:09.100680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb42c83a-ef85-481d-b915-6c2bfaec54db · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:14.349929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c6b20d78-ff18-434c-8e00-2ebf068d14a9 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:14.162775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dfc3d1f2-634a-4b9a-896e-bdf010c05350 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:13.985686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8b8997ff-065d-494b-b319-23ee1772804d · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:13.800086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5a199672-00ed-417b-8b04-83f218c70329 · outbound
This paper cites VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:09.509847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f133d51a-fe81-4b74-a3cb-abb901013f9f · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:13.603791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c236295d-dffc-44a9-aa3a-10d58ff09589 · outbound
This paper cites Zanella, W.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Zanella, W
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:13.398837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 023080ce-4cfb-490c-b7a5-85075dc2a3fc · outbound
This paper cites Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:09.748094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7ea1351-0deb-4d37-8efd-4ed8822590fc · outbound
This paper cites Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:48:11.049545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d733935e-be62-400e-8722-eadf5ee62481 · outbound
This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:09.946375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efea8cbc-15e8-4894-9251-f121f2583736 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:13.216712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8fbaad1e-d611-4f6f-a6c2-37a26c3c229e · outbound
This paper cites judgement.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning judgement
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:13.078907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e9b595b6-e051-4e8e-8fdf-07ca17fbf3e4 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:12.834038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0d52490b-1b10-45b0-85e8-bff1b8e75bc2 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:12.663693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e406c873-c3f7-4d5b-a7c1-2c5b3e3d3458 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:12.549748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7ad9dc41-72b4-49ab-92b8-8b4b37f7e965 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:12.392541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 349f1a0d-1624-4041-9003-53178a384586 · outbound
This paper cites describing a political argument instead of an escalator malfunction.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning describing a political argument instead of an escalator malfunction
Reference 61
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T12:48:12.226168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bd27976c-387a-426a-aed1-b9ed9bad4a33 · outbound
This paper cites an unresolved cited work.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:48:12.044007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 76cc70ad-6673-4443-9dbe-75d8c5af08f7 · outbound
This paper cites This is evident from the bright flash, smoke, and sparks.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning This is evident from the bright flash, smoke, and sparks
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:11.842013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f5ab1332-a123-48ed-b028-391803ce5baf · outbound
This paper cites This reaction is typical in response to a sudden and dangerous event.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning This reaction is typical in response to a sudden and dangerous event
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:11.649062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 24e2cd60-ae91-4845-963d-4fed3343d1ab · outbound
This paper cites ### Cause and Effect: - **Cause**: The firework malfunctioned or was mishandled, leading to the explosion.
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning ### Cause and Effect: - **Cause**: The firework malfunctioned or was mishandled, leading to the explosion
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:48:11.462776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation 41a9365b-530c-4d40-8149-fb6c6556333c · inbound
DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection cites this paper.
DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:30:09.739341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04fde570-d2be-466f-a04e-de89ff5aa246 · inbound
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 246
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:07:49.031753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a7de4b-be0e-42fe-812b-1b44cfaad323 · inbound
ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions cites this paper.
ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:51:03.305562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c26aaf48-8454-4393-ae87-de3394cd2aa6 · 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 VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 197
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:09:55.183423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation af18627c-f8a6-45b0-9e02-dc5b7abb567a · inbound
Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization cites this paper.
Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T14:47:03.373451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e38028c4-39f9-41e9-a8c5-8f3ad0eb4dfa · inbound
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning cites this paper.
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:56:44.829023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1646d462-9202-4f46-bf17-2e03500b399d · inbound
AgenticVAU: Multi-Agent Explore-Verify Reasoning for Video Anomaly Understanding cites this paper.
AgenticVAU: Multi-Agent Explore-Verify Reasoning for Video Anomaly Understanding VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:48:10.892063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.