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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:04.353659Z digest=sha256:a4b4ead99383025cdc2d81dc80c6c1e24051a2c1c68f903452499ce977b679b2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:04.751079Z digest=sha256:37b74c42c8d477013202aceb6db684dbe45031ecef5dbbf399941697ef77cf9d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:04.838463Z digest=sha256:e568292dee6a0ed24c41d48629ae955ddf7c8f8cf40320739729e82f60aeeece

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:05.064547Z digest=sha256:6ea47f03f14af171d829a018921ac1e55e928a7645a0ecfcc533687540784df0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:05.296059Z digest=sha256:bd16cb4a2defd13dce50ca473d686816f1526c44dd77b8040d16093fc4b1f2a0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:05.506312Z digest=sha256:eb70ab0d15d154f43325084249cdd1a2538ccc6e76da89e15fbc755cde3c6b18

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:05.763626Z digest=sha256:46043ef37ce1a446e3b7901652c7352d586bc8f855dbf250b7a1278221abed5f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:06.089431Z digest=sha256:883a2d26ba90c095ca1511c81b39c6b56f3b843ee9c9407f4f7700e6a25e459d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:06.379834Z digest=sha256:74ed73660f8989a5ec7206d0c87c85b72c8528f8eaa4d961334346105fe52549

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:06.501965Z digest=sha256:974e1c62f6a447fabedfd1e630e875e4a6415b3a39954ddb44295176ebe16c4f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:06.612997Z digest=sha256:2c81d82a5cfb3a0a9040c5f83e5701eaba32bfa7f2e5dde9f7c3f49d6e2d73d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:06.707866Z digest=sha256:4a2cbd753a501b36ed55faa1db06121a8afeb89bdb94b556acacb0ec67d8b5a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:06.985732Z digest=sha256:8bd12586bbec191023ca50d79d90da576ef055a07560d98d219d87b765a9d86c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:07.148560Z digest=sha256:953cf0a6813ac061fc5114371ac171d51b303926ea03a1a2b6e233d0042c509b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:07.414670Z digest=sha256:b69b946b655dac0c392f4e17d85662bad33a6bc92ce8c2ac2e8812d75feee67a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:07.571798Z digest=sha256:c1843d5547bd6086f6793da2c787445402c9a25fa6fa658eac732b59e7929160

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:07.734765Z digest=sha256:52849c97476aa1c8dcb6a5e7ca68e0d8f53e2e18afee12bc798601df5134b8c2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.131651Z digest=sha256:381bb57eb3d2b6ea14702898bab915e7b041c975f662c06752b5d0d7207b9cbe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.198505Z digest=sha256:6656b0dd5ceaae7699feecabcc017bcc9732b2ed91c76cec8b763883ff329d5e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.381870Z digest=sha256:8441705c937f2d841e45076bdab3b4b8930d3d4426943a4a78fd475a5efaf4a2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.479655Z digest=sha256:d0236aaf7fc0d773f2d632107151948eff869d34d660ec4fcd378ea706a3b0a8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.570565Z digest=sha256:2fe14902157919234619d37fa8ef768a53d918c3851b6700fd0db06c655bc945

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.644798Z digest=sha256:e14632a85df9ddde595b666e3e3cb7eeff5196f186b694c424247e08c2cd5b8a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.714627Z digest=sha256:b8514c5e2e1aef7b0f03321489aa2ef8c544e76f5f27886a27fc3c0fea6f8773

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:08.789812Z digest=sha256:65eb261e5ccbf355532dd4269ecea0e03951f0fd10e73df5a321dae1027c19d9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.024890Z digest=sha256:ae74e164ee294077c7b2c65a821f094a14da0ca8b1ae1230f644db5f01fc9753

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.199307Z digest=sha256:e2669d991b839f4bf542d345c0577e2f42cb395f35c097d1c07d245b4cb5edd9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.271577Z digest=sha256:f446e3e534170ec59a6539ee79f6c9d2e1088ccb57c799855ae9fbd409aff30f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.319546Z digest=sha256:48fe2145bdc3ad3a7ec018d5181bdaa670f646c1abf5d9c47d2a9eedb3d465d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.438340Z digest=sha256:14ec26a91ce7f1f31c08a3a6b382dfcceddcccc485ba9f9de24192a3f1bdca49

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.581205Z digest=sha256:b3591657be0d79d963749f12b88dc7ebbee1b778ffb72a3aa79e16810ed8a206

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.652548Z digest=sha256:a8b0b7275c0eb25935ed622b16147429e1656d00cb3f66f31acd971dd87ad3bd

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=sha256:3cec9f8467a6075336b95a3c8b641aa12cfcbb46b42d66483a632a2d0b97c4f9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:09.843015Z digest=sha256:d63ccd92767919a0324a0b4efd5e081f2fce37e89abb873edaef6d44980ac93c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.041153Z digest=sha256:c67f9a5395449295b736b948dca25d8a9b3b9275740c327ca16571c31434f69a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.135110Z digest=sha256:49221fbc607dfe632c4dc58c92d9cac33793b05a5243b2e07e84a3346739c18b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.231311Z digest=sha256:71ff6cda0c4ff7d90c1cc3fc7bd987da227ef068e40f2030210f056276adfe81

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.302493Z digest=sha256:887a979853df1ba87ff27fe7325c5cc5aa87419dbd4858f28420ebb7b620e8a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.388960Z digest=sha256:5669fd16a65da16005cb7ca9018eb7e1c424d8e182eb2cbc0d45e17fa09dcef3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.456812Z digest=sha256:d8fea41df8a871ad0eaade8d2af9bb2f5668724bc1ade189cb5d4984bfe4ecc5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.541735Z digest=sha256:0aef3ac796ceb105af31f39ec6dc5790a7b110b57857c59f85a820e634cc0433

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.637314Z digest=sha256:b690a2c954eec578c28ab3729524520cf35f7f68678b4752f265191573d3dc60

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.732084Z digest=sha256:a29d870690523eb7d7297290a62f549f2d2cb8fbc67913a47893b31f9e52fec9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.819456Z digest=sha256:f16afa8a83a6b610da5ad2b74d1cfe5dbd625add884be9eef17a1f2a620a9240

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:48:10.893161Z digest=sha256:e80b4e36cf718038efe049383b8e5ac4c311ad112c4a545fe5ea9f897ffcf702

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:55:32.945721Z digest=sha256:d40b3ddc274ed21c036cca90874e2f1df3930d2398dd5dc9b8c0c9b2856c95b0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:50:54.242508Z digest=sha256:fde1845f3c030aaae1092c66e9cd7a5f1b881ff2a6a7aa6d0473520316ae86a1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T14:38:53.385751Z digest=sha256:f12775c36e2c29e9035d3d2988b325370f3d56edd373625f9bbace0fd2ae575c

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=sha256:5a47bee6ff8d63fecc02c1b6fd23b9e1eb1c2c3ebd20aa76b82de337863a36eb

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:b8e37b2ddc9201c857e3161b838ad997d4f9263b8a39a6981452ca39c6d602e6