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Paper Citation Record · LEDGER

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.10317.

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

pith.paper-citation-record.v1
2608.10317 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:47.272214Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f305a91-9c03-4d30-b6b0-afa92c927691 · outbound

This paper cites Cosmos 3: Omnimodal World Models for Physical AI.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Cosmos 3: Omnimodal World Models for Physical AI

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.104194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.104194Z digest=sha256:ae379b2272d6e41e20f1619c04994512925353d66d34ce944e367949d28e5e54

Observation 46df54f8-1f3f-4f47-bdcb-a078af73548c · outbound

This paper cites AI City Challenge 2026 Track 3: Anomalous events in transportation.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning AI City Challenge 2026 Track 3: Anomalous events in transportation

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:48.153764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.114999Z digest=sha256:6ba2c70096e913eb711ac34b6e68553e57ece46bdad553bb6520356be4dd9e48

Observation a0105357-abb8-448d-86c8-cc20be7cc976 · outbound

This paper cites Anastasiu.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Anastasiu

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:48.105112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.121597Z digest=sha256:a055e22fb76125635c6311b1e522434961cf50594c0dcbf0d7ef2934d7953c5d

Observation a0eee666-5b56-4df7-a6ea-d5266dc4d806 · outbound

This paper cites Highway traffic videos dataset.https://www.kaggle.com/datasets/aryashah2k/highw ay-traffic-videos-dataset, 2023.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Highway traffic videos dataset.https://www.kaggle.com/datasets/aryashah2k/highw ay-traffic-videos-dataset, 2023

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:48.077135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.124877Z digest=sha256:eee84a704e342dd14a75b165713a855a38f4d3d90aadb57f287e3143d77ef2bd

Observation 19607163-f9ca-46b9-8136-fd8a588a21d9 · outbound

This paper cites SO-TAD: A surveillance-oriented benchmark for traffic accident detection.Neurocomputing, 618:129061, 2025.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning SO-TAD: A surveillance-oriented benchmark for traffic accident detection.Neurocomputing, 618:129061, 2025

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:48.045673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.128937Z digest=sha256:0d9ecb6c7078f37ad939b150b2c856038f312c15707b534ee41b40cc3c955ed5

Observation 2c0ed578-9b58-4c12-9c48-1b0f4dd07421 · outbound

This paper cites CARLA: An open urban driving simulator.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning CARLA: An open urban driving simulator

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:48.013693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.133194Z digest=sha256:d6207d888d67d2563e432f7ee442650f3d31c45ef84306714bf944bb9e2ae334

Observation 67180ab7-bf62-4e42-912c-f3f3db5ebfe2 · outbound

This paper cites VLMEvalKit: An open-source toolkit for evaluating large multi-modality models.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning VLMEvalKit: An open-source toolkit for evaluating large multi-modality models

Reference 7

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raw_fallback, observed 2026-08-14T04:15:47.988008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.141253Z digest=sha256:078a9a1f0270e4fbcd997234328657ce657b8648400702da1da0487df45a22d0

Observation bb96a017-6b06-4e0a-9a1f-4b075ffb664d · outbound

This paper cites FishEye8K: A benchmark and dataset for fisheye camera object detection.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning FishEye8K: A benchmark and dataset for fisheye camera object detection

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.974333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.146927Z digest=sha256:09e0fb51a04d8747bb4bc82e003998d524513947e7c92abd16c8f2765a7e763b

Observation ca93e09c-06b5-4e1f-b691-10cbeb74f5a6 · outbound

This paper cites FETV: Fisheye traffic violation dataset.https://gith ub.com/MoyoG/FETV, 2026.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning FETV: Fisheye traffic violation dataset.https://gith ub.com/MoyoG/FETV, 2026

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.954141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.150722Z digest=sha256:809f5ce44dd3324dc1a428bc951ea650017a52b19c9f9668ff92d5b0dd4ebd9b

Observation b7160441-17ed-4107-b197-0c0ac3fa8f64 · outbound

This paper cites Gemini 3 model documentation.https://ai.google.dev/gemini-api/docs/mode ls, 2026.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Gemini 3 model documentation.https://ai.google.dev/gemini-api/docs/mode ls, 2026

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.937479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.154680Z digest=sha256:27f88987c589af786233e1f399b15515fb50dbeef6eb0a20cce2a2ffe2df67b3

Observation 7b3cd486-3f5a-4f99-8aee-93f4b822c78c · outbound

This paper cites Gemma 4 model card.https://ai.google.dev/gemma/docs/core/model_card_4,.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Gemma 4 model card.https://ai.google.dev/gemma/docs/core/model_card_4,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.916038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.159708Z digest=sha256:6e22a31a3bf322423b8b635d40aa7da0ff46de43e318b64311fb4507eeee9718

Observation 9cb6663f-7dad-4c5a-ba7d-82fbf81a3b4b · outbound

This paper cites AccidentBench: Benchmarkingmultimodal understanding and reasoning in vehicle accidents and beyond.arXiv preprint arXiv:2509.26636, 2025.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning AccidentBench: Benchmarkingmultimodal understanding and reasoning in vehicle accidents and beyond.arXiv preprint arXiv:2509.26636, 2025

Reference 12

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unresolved
no resolver link, observed 2026-08-14T04:15:47.165955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.165955Z digest=sha256:844aeba1975e5cff7589a4efa48ea9af3fa18d2539a5909965138fd2c58fa01d

Observation e5c0632f-ce6a-42b3-a323-029901b15531 · outbound

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

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.172052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.172052Z digest=sha256:a79fffdc55e87217c219842b5cbc6c57b15a2fa826aaf1a011bcd47b41c9ac84

Observation e0598c95-0c69-4d0c-ab36-a62db5c1ccfe · outbound

This paper cites Psi: A benchmark for human interpretation and response in traffic interactions.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Psi: A benchmark for human interpretation and response in traffic interactions

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.902994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.175595Z digest=sha256:d0ab2dfa6accd96d96c06004922378bafc15e3c531e375ef4e21a1cc5ea8bfbe

Observation d0026e25-f9ae-4c37-a2f9-7cd6d47a2744 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Gonzalez, Hao Zhang, and Ion Stoica

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.890000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.183018Z digest=sha256:d1d0bf12dc6423c1937f3b2ddbf1770a32d006d05d4c4bf1c360210df8e45e41

Observation 95e21ce9-52c5-4282-9ca7-9a2716e33e8c · outbound

This paper cites Abnormal event detection at 150 FPS in MATLAB.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Abnormal event detection at 150 FPS in MATLAB

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.877145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.187439Z digest=sha256:a0a771d1ddfa49959bf5c588d2d795d764765976d3dd9e3c53db6c6b17e14f2c

Observation 9109de84-3e80-42fc-8793-207cd5cbbba0 · outbound

This paper cites A revisit of sparse coding based anomaly detection in stacked RNN framework.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning A revisit of sparse coding based anomaly detection in stacked RNN framework

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.866475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.190585Z digest=sha256:f3741d7fb3d36ed4acc64b182cd50e2f1851b981c3950435fb30dada0bea8d7e

Observation 4973e3f6-f4a2-4cbc-8955-be2b8028e485 · outbound

This paper cites Localizing anomalies from weakly-labeled videos.IEEE Transactions on Image Processing, 2021.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Localizing anomalies from weakly-labeled videos.IEEE Transactions on Image Processing, 2021

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.855097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.196087Z digest=sha256:ea52d36c133fd1a0c6a1a10b28449e145e5a4fe4c33fcb8cd7cd52bb8aa4f594

Observation b0125766-3323-40d8-969f-63a3ed67dab7 · outbound

This paper cites Cosmos-Reason2-8B.https://huggingface.co/nvidia/Cosmos-Reason2-8B, 2026.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Cosmos-Reason2-8B.https://huggingface.co/nvidia/Cosmos-Reason2-8B, 2026

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.843894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.199199Z digest=sha256:2c598867a44bf7b9335575a52ec7795c4154884eda9189dc669efa6f394d03dd

Observation 1ab4ba88-d488-498c-843d-0f4e7ca6492d · outbound

This paper cites Cosmos-Reason2-32B.https://huggingface.co/nvidia/Cosmos-Reason2-32B, 2026.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Cosmos-Reason2-32B.https://huggingface.co/nvidia/Cosmos-Reason2-32B, 2026

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.832293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.202101Z digest=sha256:9ec4a13ae259d85b1460ce9d8b1f7921103a4b6ba3ace801976d690c096c97cc

Observation 76d0f12b-6743-4caa-834a-bae9e9c66599 · outbound

This paper cites Qwen3-VL Technical Report.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Qwen3-VL Technical Report

Reference 21

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unresolved
no resolver link, observed 2026-08-14T04:15:47.207899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.207899Z digest=sha256:a66c59b5fb9dde404659207e9a490c3bba2281c5f2f5ac63a5f6b97b3b88cc3b

Observation ddd12107-b068-4064-9562-dea836b9f40a · outbound

This paper cites CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis

Reference 22

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unresolved
no resolver link, observed 2026-08-14T04:15:47.211271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.211271Z digest=sha256:b9e960e5c94befc1e4e5af7ed3d1350cec43b7b9d5b3ee99bc115e5b25834f3d

Observation a7c51e93-2c27-426c-8da0-1c82f846fcdc · outbound

This paper cites Real-world anomaly detection in surveillance videos.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Real-world anomaly detection in surveillance videos

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.812172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.214482Z digest=sha256:9f4d01edd9e0b7f06b4ed8eed1d4bf8541d802900d3b0bf2b83e3606f3099cbe

Observation 29d4a380-1a16-4a98-8429-5a086a1e3ddd · outbound

This paper cites The 9th AI City Challenge.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning The 9th AI City Challenge

Reference 24

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unresolved
no resolver link, observed 2026-08-14T04:15:47.227259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.227259Z digest=sha256:e578d0b15be91de978ec88bed9b876f0b24fbdd94c44526e92d20c51889d5a0d

Observation 0e70a6cb-1483-43f7-bfac-b2c1f57d95ba · outbound

This paper cites Anastasiu, Ming-Ching Chang, et al.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Anastasiu, Ming-Ching Chang, et al

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.786303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.231261Z digest=sha256:8c7b16ae5d5382f133268b79b313a6b7a2c597ab88a497b0893b2be01d382c7a

Observation b1eb4264-f346-4ac1-8a19-ac8e722e5a14 · outbound

This paper cites PSI VQA: Egocentric dashcam pedestrian intent benchmark.https: //huggingface.co/datasets/ise-ice-lab/PSI_VQA, 2026.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning PSI VQA: Egocentric dashcam pedestrian intent benchmark.https: //huggingface.co/datasets/ise-ice-lab/PSI_VQA, 2026

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.746524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.239707Z digest=sha256:6a5220d56e0988deeb8b1941b6acdddad439f0642bba983e19df18b5e4f457e5

Observation 0d58a557-4257-4d84-ae0e-e17e82258ec9 · outbound

This paper cites TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.246832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.246832Z digest=sha256:d7ab122e727e8afe46d44a94a3bcc3d3428061aa44b1813f7a38eb603e8ca57d

Observation 74b155b7-5c33-4547-adeb-4fb2bee29e03 · outbound

This paper cites MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:15:47.462383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.250064Z digest=sha256:c177685370475773ba7b85966e3a9604b1b69393ead9eaaac0f926fa1c756783

Observation 4b2e36d7-45e2-4c00-9aa2-41f68505c0da · outbound

This paper cites Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.253229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.253229Z digest=sha256:bb810c60ae43370adeb3b7373cbd66a50fa861e3d3ed810c32ccc840bc98a2e1

Observation 7da42dbe-9420-490d-a2ce-107ef5c6bd0f · outbound

This paper cites Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.256267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.256267Z digest=sha256:cfe86066efe32ffaee517eb62f9794ea97dc993f3d2dd1b2ea49e248c37c40ff

Observation 65607504-42fc-4b49-9cd0-099f662ac296 · outbound

This paper cites Weinberger, and Yoav Artzi.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Weinberger, and Yoav Artzi

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.684838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.259641Z digest=sha256:8c1f170d3a9151351c6457392d94abeac548686a231d1ce353a60ebbdd6eeef8

Observation 149f5536-42ec-4d19-9965-3ea8ab966e7b · outbound

This paper cites SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.263691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.263691Z digest=sha256:d4f3230d0d80e5fd2817d5953329bf37ae36da8eedd36fd4926d61987b6288f3

Observation b63a9a90-af0d-49d7-a8d7-41bb00a5c18d · outbound

This paper cites Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:47.267925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:15:47.267925Z digest=sha256:662f2281fbfd14eee48910dada5007539259bc3dd8812250a7a3bd76adcd16e2

Observation 717f9f20-0bf7-4de7-a629-78ea67155af9 · outbound

This paper cites Barbados traffic analysis challenge.https://zindi.africa/competitions/barbados-traffic -analysis-challenge/data, 2023.

From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning Barbados traffic analysis challenge.https://zindi.africa/competitions/barbados-traffic -analysis-challenge/data, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:15:47.647982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T04:15:47.272214Z digest=sha256:7889f8c105b93324130482894a106834245a28ab0ca54015df2854b7561ea580

Pith citing papers

No inbound Pith citation observations are available.