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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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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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=sha256:2211eee587ba773a4450a82162aba95514644924f8dfce73a67ff967c0af7403

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.114999Z digest=sha256:8836105fcdf546648355f4ce420a0dde25d2a2ff66858fddddabd78986984ff9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.121597Z digest=sha256:eb0107870ef248c3a92c2a3198751bbedabad7420f5aeddd20377762d2671689

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.124877Z digest=sha256:17477fdeec3f0daa6a01ba534a7c3cccebf709da9691c207a3bebc0c4df70847

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.128937Z digest=sha256:4bd05d9feadf3a93e4de8cf59bb35966ba48734531f355c2a24ee169ae4de07a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.133194Z digest=sha256:67bdb77087af96521c58a1dd46289d40ec0507144e9465c13aaaa4b1eee8ff9a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.141253Z digest=sha256:1fc10ccee5a1682535686863f19d1fd2f5e479379267b010487c532f65b582bd

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.146927Z digest=sha256:b3c33adc9ef080ec97a9111bd38a7996b6e48886287f81416f5a397c2fc84fcc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.150722Z digest=sha256:9671e945d8ea989bd070a78f2459c3160c9f8a30c59011db2535475f59bbe19d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.154680Z digest=sha256:5fe6422463c14f7795951f003481e5ac0feea36933bd371b6f598a74ab3d71ef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.159708Z digest=sha256:0fdbc2c012088a836e9c498fb63d2316a70f97882cb969631297271c06526358

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=sha256:33c45a6dfa6740369e65f75a66b6394f678cbadb604d68e5136775935f6c63eb

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=sha256:8ce580caeb37345b7f5540699b5728589a0113d4d476f2282792f0a83c9e7096

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.175595Z digest=sha256:b5b238cb7739f092c4c27fbbb27eb4ec48cbe0a307116799407f6c14bcc90ffa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.183018Z digest=sha256:4a65af4cc95b7ffc70285fd584f9f90e84177b9c70318119f397a2775d2940d7

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.187439Z digest=sha256:0a50cfaab2b83dd1b075621196130c953f09cc2c4c9bc6f39a87d313aa6e0539

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.190585Z digest=sha256:c69083f5fcf4d7dadd1948b55ca4d5e936917e7a1eabc5fc44bb300a42981574

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.196087Z digest=sha256:3e98f3d9f3423c8b9584529aa7d7aed658445587f908a871d09293ad3ea84aaa

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.199199Z digest=sha256:f261b947df6f57b3a4287620e66b4958970732b6caf57b380ffa4fc01ec4b649

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.202101Z digest=sha256:a285b259c30ef1e4f739e45ff36f25c95ec992e6247592d0f478dc21722993bc

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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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:ec5d26b3cf672bfcab51039fa371294f015015e0ea61c4c7ae9f855a7f8819aa

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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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:de1feac3d0e3d3c0a7398e81d97ebe6f9d4ac242378f6a3cc969a7c48bc0a3b4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.214482Z digest=sha256:ad46776c30d2316b6b76f4b616ee392a6be8b86b95c592213e9da1fc035f4387

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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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=sha256:16c9761365e9bba5056c0a41129ae54ab8e7c209fbccae059a52e17203e8c45f

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.231261Z digest=sha256:873b1f742d398fc20da6eeccf928d6b92085abc239c6b61a6fc9b165b48025f0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.239707Z digest=sha256:7084388b9260ecba48750eae9a3a5fe8e07fd3826e59f58135dfa3b34f555428

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

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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=sha256:80f74b180123a283ccb96f185527ca55910be9040f9131d6f13c9db0e993ee5c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.250064Z digest=sha256:590d537e16aeeeb3d095336f13d750b5136779dc38105a665b6041c644a96bdf

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=sha256:7c1f1f0fb9cacb80a7954b7b0d7d146419c7ca4f022e6f64ccd89e128a581472

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=sha256:58be508f7f83209f44f701bb9b5db5cc09819151eedd5dce32fdb79338cbe56a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.259641Z digest=sha256:62718720383d272eb8eb0c181b14bb1f1415931153adbcb2d3cdc6fe28a09a75

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=sha256:5ec6834225a7870d6c78382da66fbc733c8fbcfa3b619e3c6d1b9867db0807ea

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=sha256:2a9b32de31b3c96ca438cc44e7c4e432f6046066295ed043988f13db66ff9744

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T04:15:47.272214Z digest=sha256:3f7ced5df9f331d905885ca5ec7fb9ab6553429c28f5704b91ddc9183241a46b

Pith citing papers

No inbound Pith citation observations are available.