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Paper Citation Record · LEDGER

VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning

As of 7 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.

pith.paper-citation-record.v1
2505.23504 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:10.893161Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:30:09.739341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.181821Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:04.353659Z digest=sha256:087dfe644bd89029e584a9cf41ca431874f843f18b25702d427f43627089ecf9

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.

source=pdf_text observed=2026-08-07T12:48:04.444069Z digest=sha256:42eabd7e9e9ec2824a9ade295e4f60b709ef2492bb3cdbc64550045fca963eb3

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.

source=pdf_text observed=2026-08-07T12:48:04.591475Z digest=sha256:ae53fb64c3f62720c9e4549a1dfbd6a358f6da1a04a8d089a0a9e95a48892673

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:04.751079Z digest=sha256:a4483cafea53f74f6e95d127be9148eee5f6da1dc8953f0d2814c0bada730021

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:04.838463Z digest=sha256:4ae07f61637d7ecab4261656040c8a489d4989271c2e2dee00392d9fd1dcfceb

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.

source=pdf_text observed=2026-08-07T12:48:04.957362Z digest=sha256:1f73404967c307fb57a3326e2bb2bd0f9cc822b9c44848756ae701b0b3e9b216

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:05.064547Z digest=sha256:5e5ccf21f939a85f7a085bb78ffa776bfaa0cfcd0baf09b934cdb294a2796b72

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.

source=pdf_text observed=2026-08-07T12:48:05.159474Z digest=sha256:ff99f0e0972d10105cfab1f2a13239572b5042519ad1075b6070eadfbd64a335

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:05.296059Z digest=sha256:8b313b9c1c23e78c644392f5b9acaf405206affcf3ebcbcb9198548f4878c7d5

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.

source=pdf_text observed=2026-08-07T12:48:05.420338Z digest=sha256:1ab5157584d0f08b74986b7ab43bc571d6c1db12925e06f2427172c33f1f50b9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:05.506312Z digest=sha256:d6926733f096ed4eed06a272e8827418c1a5076498dd583cee2518c2a0efa52b

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.

source=pdf_text observed=2026-08-07T12:48:05.633999Z digest=sha256:eee1c215d1e5ee5f406c92a6adfd8865c075040d487b3e98a4c8d7006435693b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:05.763626Z digest=sha256:2e4fc76d4a1f872ac1ceaafe7ac2ba110188a84991c4c8de6a21677e23c50718

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.

source=pdf_text observed=2026-08-07T12:48:05.869950Z digest=sha256:1aa3dbe1e75ae45fb84256fcc5b371a586a4d5012c4f8cefd59e3aaec28899b7

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.

source=pdf_text observed=2026-08-07T12:48:05.970854Z digest=sha256:7762bf0166070e9919149731fc66fe12f38b6ed68ed5fd0b494ab56a343dcbe5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:06.089431Z digest=sha256:9cab92e74949df23caf06af2a5ea3a20a32f760a82328814b166690de65deb6c

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.

source=pdf_text observed=2026-08-07T12:48:06.206753Z digest=sha256:48f77b76cc5489ef0f3714e18317bc9fabc8015f13e69ebcb9d687562c5bbb68

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.

source=pdf_text observed=2026-08-07T12:48:06.309498Z digest=sha256:85ed01bf65c06c5290a9b5d9a2f3569cf7875daa22d79d2c4d49da24bc1856bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:06.379834Z digest=sha256:ca5cf3abe3fe3f57326769810597d07561d0b9209670fa94afac9569aa814ec0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:06.501965Z digest=sha256:4f4c2d6929c1cbf6ed7569409e9b2a7688c5ea445642dd4017f86af6380e32bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:06.612997Z digest=sha256:6c8bf6c4110fe823f60b194f7ac2b4117fe272dae55d8dcc9efbb5910032541f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:06.707866Z digest=sha256:90ea12cf2e42aaa093a4035fb9e16036fd4e40b25b9fbc23eef4559310e91203

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.

source=pdf_text observed=2026-08-07T12:48:06.820886Z digest=sha256:c0deb617746fa03cd258507f0bb48f3d9d371943e59667190907f7f44ad355d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:06.985732Z digest=sha256:3a27b8c48df62beb36b3e9d123ed7a082a8e1fc7086d7242790ac7399afa0d9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:07.148560Z digest=sha256:0578309320e9aa6dafc7fbf540023f661eff51923be95fc25e87109933fcea97

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.

source=pdf_text observed=2026-08-07T12:48:07.271026Z digest=sha256:2986134ee257c6707ecfa9b5f27765cbf23bbdb2d478754c052a247c25d07df9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:07.414670Z digest=sha256:07864d49c51be0d41f0b452ac24695de74ee3db9228c2db63175e4ca90a3e38a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:07.571798Z digest=sha256:44cc112dbba71383119115f9d36ea143f37f0a0abe09ed62dc8286b61978a5c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:07.734765Z digest=sha256:32143ee5dc71018313bcedf97d844e79972e2c4cdf813ca13063ddc542f21b3c

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.

source=pdf_text observed=2026-08-07T12:48:07.899761Z digest=sha256:705c292d464cbd9a10ef30f4c4e57d64094430f556f430f4ec842acac8114024

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.

source=pdf_text observed=2026-08-07T12:48:08.038233Z digest=sha256:255aa192007c838103aca2127e7d1aeb38a10f6ca76fb1918b88d0d7f5b98fb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.131651Z digest=sha256:2b0f32fcb22a163adce010784249888191bd948256e6da938b33f51266b2a7d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.198505Z digest=sha256:8db30bfdfa32c4ecf98cd6cde156d12c02ff5780bdfd55b7029ba7bcc0d8956e

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.

source=pdf_text observed=2026-08-07T12:48:08.286870Z digest=sha256:562a291cb9af74c01a9dfd27ea17831daaa3ee1ce04e21303107f6f023ba868e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.381870Z digest=sha256:4b90f8f93f70d4609957c55d5f442493a14124d88aa91add95839fec50a3f75e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.479655Z digest=sha256:79a0cd3224e16ac5b84390b4e3b2c596f36067dc12b05b38522df87fd90eafda

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.570565Z digest=sha256:6b5d3c0d7237b4c7c739088715ee92f5852be9837fd7d84d25fae3b905f152aa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.644798Z digest=sha256:12bb370afc08f022fe911f88a1d146aee0056614a414f509d1251b257af54bf9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.714627Z digest=sha256:94d026bbe4cac01e2b7035660959e2326c61343fae72cd76c71297adeb0eecf4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:08.789812Z digest=sha256:7fe2469540f1b3b8eb9814996a536d346f6ecf74078c2ccfde6cc0329570a0fb

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.

source=pdf_text observed=2026-08-07T12:48:08.886125Z digest=sha256:21892e39c62441e2fa14e05bb108b40b3e58f7d5381be0756d0fe63e39ccd828

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.

source=pdf_text observed=2026-08-07T12:48:08.957648Z digest=sha256:1a02c21ad358b1d9b0c7d11c5161b3f0e8250effba197333998454efffa7b622

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.024890Z digest=sha256:dcd8389816de809788bdd6de2c4a17ec3e57cdd51bfdc97d7af5478d1d432c8e

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.

source=pdf_text observed=2026-08-07T12:48:09.100680Z digest=sha256:d2d7414a80fc26aeaa08fe1aed665f407f93023a350639c8825db9fafd4567cc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.199307Z digest=sha256:7192df5538091e4fe634d8380ab981f52c857793a72efd0fc6c6f26d44ba4a06

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.271577Z digest=sha256:54763a4c46498647ab3554140f79f4057be96b4b97300874bec91b372cb5ae08

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.319546Z digest=sha256:6aa66083525704deb24db2493d51b672e45b3251c49720e1eee87b9e8e16f0ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.438340Z digest=sha256:e45f88578749bc6c7ec48eb0b1a7de0749f83ee70003a894969c0a92f669b08e

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.

source=pdf_text observed=2026-08-07T12:48:09.509847Z digest=sha256:d40e1a5bc66506dac0bffb2ff5d0dd7cf11362609298205f25e5924d7bfd95eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.581205Z digest=sha256:86b9a71f907a43dfdd91a1306a567a7034ec5dd6699edcb4739b2709374bd4bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.652548Z digest=sha256:4d48b7c7978befd1c7f9c2d110fd56e4f6ac14acaed1aa61f9f4473ff3e94f5e

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.

source=pdf_text observed=2026-08-07T12:48:09.748094Z digest=sha256:a4627bc87f4df7e5c94c83ad4b98b2dcd2445125585b3fefcb2f56a74f83d7f2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:09.843015Z digest=sha256:7e3c50f135ecde8a662a703796172664dcb4ac059f880d5fd7964ce88a382d8c

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.

source=pdf_text observed=2026-08-07T12:48:09.946375Z digest=sha256:e9ff4a0cfec1285f8fea58ebefb7e6d0c70cd63355dd254b6386958378ce7fd8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.041153Z digest=sha256:1fd130b62be242370898ebfbeef1b067374082c517f1fd5afe47a31aabc40be5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.135110Z digest=sha256:c29e63003772704b3d3d05b5b5a0624e580dcddb8efbd298f6ff8a30e779cf1c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.231311Z digest=sha256:6cd0df7cc442439f3376ed09676a23e4761eb45cf68ce09c41a49bc1c93675a5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.302493Z digest=sha256:076da77254e5d7c6d96802493a8b9aaab007a0c9143b0d13efce7143669417b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.388960Z digest=sha256:3df282869ae2102e428fc39a99560e4bffdc89595e5eda319c0f5ac915cf8f7a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.456812Z digest=sha256:9c38fe4c14f894624ad6d4b191d149f7e7eac9da69747d37f819e504e2f14535

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.541735Z digest=sha256:b75602dc2b8fa85aab5127e6c67716bb1825b9a8950e7507d0cccaf1f8ab0df3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.637314Z digest=sha256:4298c7ec122322e01d4d0895f271b13ec15d6ab511a83345b8ade665a73deaea

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.732084Z digest=sha256:c5872efc5b8c6a9211d6df6bb6bbbdfd3f7d7ac3a147e9b0eaa0b00632fb2dc3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.819456Z digest=sha256:c6501af0a53a54528727a85bfedd95ceed27136aeeb2698ed75771d037605c67

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:10.893161Z digest=sha256:ff02fa07ee50e2c6edb4cff3359df49515b0d53990cefe7cefab794d26d564cd

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.

source=pdf_text observed=2026-08-06T13:30:09.739341Z digest=sha256:553bc38faebd8108f430e21b3089ac9d68d577d0f332586c1231ea90affb409a

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.

source=pdf_text observed=2026-08-04T16:07:49.031753Z digest=sha256:f02b1f3b7380404b1d37ab38b552cee52662eac54edacbe1ecf6c5dd4333eeaf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:55:32.945721Z digest=sha256:70d09e2a2e2ef36fc04b792516e43b0e3b965b4393a5c1a4a0ed52a920676d9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T01:50:54.242508Z digest=sha256:4c99c1ae2c4ccd2158bc78a516432bfb3c206a633e22357e06b44bae23b8301a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T14:38:53.385751Z digest=sha256:20dd3220dbff0f10e456e27528dad41ff2c6bc8abdfe3cf0e952b93408886780

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.

source=pdf_text observed=2026-08-01T15:56:44.829023Z digest=sha256:3a5d331dd363befdde4e49b8959a17a9c3395aa70fd9d9ac6e39a7ec4bd65b35

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.

source=arxiv_source observed=2026-08-05T12:48:10.892063Z digest=sha256:0c440f5e445dc4bd15089ed3c5a952c990fd41467091b7889952d5611cb93f3d