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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 2026-08-17T06:30:58.91139+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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.114999Z digest=sha256:82f2acd95edac976a8a8168f26e3f8109d6fe63487d2529e8f9236fa9338eacb

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.121597Z digest=sha256:199784612406879cc596c0b1f37566565685dbb7c9dda6bfaf23f038ab4575e0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.124877Z digest=sha256:e62ce2c2e6bc6fe4a560e3f0128899edc8695be7497b75a33ddac254b407aba2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.128937Z digest=sha256:2e9885d1c10159ac4d9f792b4b6a77ecdf2398819b72b626552205967e4b9f6d

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.133194Z digest=sha256:cc9d6466ad176d0465a9c26d390cd58452c776edfd07a833d0bb451c2f7ba6cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.141253Z digest=sha256:2c8726de4d25b5fd00b29491d36f4fb1e9841397d4617526a0e8f3969bf502e9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.146927Z digest=sha256:fa9846d5fd9115d722c064244a043ec1e98caca2329949abe272559180e3af5f

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.150722Z digest=sha256:b2c33d68cea6896f602557678f01063880de55d9f3dd884ae2d23633e9e046e3

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.154680Z digest=sha256:0701d92070c40c31544a66ed507f26363a2db17570f9d817da172e570432b77a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.159708Z digest=sha256:4bab4d205759753dd6e989846e38ac44be14280d9542991715d434119dbb8529

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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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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.175595Z digest=sha256:0ead51a8c24d376e606dc74907d13f950c64a8ad4fa7147c37e984307cb50ec4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.183018Z digest=sha256:6a533ec51d8ef7afae50880fcc64e9baa2e1aa2ae42011ce7e30e932039a2139

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.187439Z digest=sha256:97687806cb46b62e2d666d61225b82c02d5fef42d3b04ae6fedaa63ba7f346cb

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.190585Z digest=sha256:667dcd68da27229bd6f46adf46cb7f9538ba89c0415a0f300a8bc0f0884079c7

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.196087Z digest=sha256:c7dbf8a554bc8ec2ae6ac2e6e0fb093eee350898b4337c09fc3919978d3154fe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.199199Z digest=sha256:d149f35acd44bc3f3f7873445c50c35b205ba2b37f1d491363ff6903860bc0c4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.202101Z digest=sha256:fd54a2129c53029e7e11b345b2ac5ad7c38bd7547e4394b5a293a174ceb033ad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.214482Z digest=sha256:b7a73d64ea07aef7f4579125bd094370749e4f966ef72396de1786c0804d3eaa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.231261Z digest=sha256:5da444bbf0a716a95f6ad107630aea024c03629ec77959ebeeb667889eae3030

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.239707Z digest=sha256:ec1639b8083e203d6acb038e9971a8143e22c37ff3b09d530d18502d1834341d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.250064Z digest=sha256:83fec1f410addca2c279aa5bc145725ba1fa08ad72ee0f8e212a9a762b88fdfb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.259641Z digest=sha256:31186f217b87ab8bb196aff236c24240df8fa7beb2bc4bf11373ca805bd82d43

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:15:47.272214Z digest=sha256:e998426eb77f4a8c1dc7960096903167fd4583c2a48e0931884e35431665955a

Pith citing papers

No inbound Pith citation observations are available.