Pith. sign in

Paper Citation Record · LEDGER

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2507.14743.

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

pith.paper-citation-record.v1
2507.14743 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:53:55.888230Z

measured 66 of 66 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:09:57.040135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:30:57.824322Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved16
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4699f5bf-5abb-43e2-a73a-0113648e2ac9 · outbound

This paper cites Traffic violation detection system.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Traffic violation detection system

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:05.274980Z

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=2026-08-06T15:53:49.002999Z digest=sha256:c907752a7fe5bc9bc97be4205473ca6e90941e84c2715a3f53bc59ca0caef0cb

Observation 06b097f0-ff8e-4620-a358-14e3eb3eed8c · outbound

This paper cites Spice: Semantic propositional image cap- tion evaluation.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Spice: Semantic propositional image cap- tion evaluation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:05.107108Z

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=2026-08-06T15:53:49.071313Z digest=sha256:444e64fc0eb9c668d4cfb2a9c9001f58bf2178b3f562e483c9adf5a82dda8d1e

Observation bc015735-3786-4b7a-97a1-bbab11443fbb · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:49.139888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:49.139888Z digest=sha256:e8c7b1b7b724cfe60088786f84408dfc972a293a85e699d50b5dd16aff0a931b

Observation 43350c4a-bcd2-420f-87c8-b7c5d07116f3 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:04.887723Z

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=2026-08-06T15:53:49.303817Z digest=sha256:435fc9b93b868971d9fa9178fa5579220fc6fdb161a5574cd5794b7bc79baebc

Observation b763add8-16e9-48f1-a7e1-9f10bda68f27 · outbound

This paper cites Visual content based video retrieval on natural language queries.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Visual content based video retrieval on natural language queries

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:04.554087Z

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=2026-08-06T15:53:49.346113Z digest=sha256:705735a9cc2193bfad672232907b724a766b29758503b30b4190198fc62b3e9b

Observation 1d138fa3-6056-499b-871e-35e712538b66 · outbound

This paper cites Machine learning for autonomous vehicle’s trajectory prediction: A comprehen- sive survey, challenges, and future research directions.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Machine learning for autonomous vehicle’s trajectory prediction: A comprehen- sive survey, challenges, and future research directions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:04.315351Z

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=2026-08-06T15:53:49.490669Z digest=sha256:f373a35ea48c609a3100bb9f75dbc765376cb3d316e342cc2ae18094c68d1396

Observation c82db557-5911-4634-8717-b3c0f892769b · outbound

This paper cites Videollama 2: Advancing spatial-temporal modeling and audio understanding in video- llms, 2024.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Videollama 2: Advancing spatial-temporal modeling and audio understanding in video- llms, 2024

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:49.632222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:49.632222Z digest=sha256:36d8389ea463f24894712a84bc6ae509eb65f3204327db81cbedaa2ec47c8a09

Observation c7229a03-ab06-44e6-8b7b-510321f20454 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:49.718713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:49.718713Z digest=sha256:d972f25b581d6534f95680b866ca53d681119bc2016377ad5a6cda156789499f

Observation ce382780-ea0b-4a60-bf9c-c690455386eb · outbound

This paper cites Recent ad- vances in connected and automated vehicles.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Recent ad- vances in connected and automated vehicles

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:04.049599Z

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=2026-08-06T15:53:49.816921Z digest=sha256:4868542f7b8aa5f5c9af363dcc4103a372f798a4d85b9d3b77bcba597fd7c7f7

Observation ca8b3529-1815-46fd-8f16-caf7fa031578 · outbound

This paper cites A systematic re- view of traffic incident detection algorithms.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic A systematic re- view of traffic incident detection algorithms

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:03.828870Z

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=2026-08-06T15:53:49.903514Z digest=sha256:5872cd35228b3589ef754817d40428be57e6b09feb2cafb387cde2cdbfd38d57

Observation e40caa4c-4aff-4ed5-a39d-25758a3bd3fe · outbound

This paper cites Agqa: A benchmark for compositional spatio-temporal reasoning.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Agqa: A benchmark for compositional spatio-temporal reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:49.970540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:49.970540Z digest=sha256:4d2f549c56eee53170c3c32dbda6fff294199645d9ba7618d54e7733b760b253

Observation de53f94c-c323-4a34-b7b4-62a9914681f4 · outbound

This paper cites Venetianer, and Alan Lipton.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Venetianer, and Alan Lipton

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:03.525771Z

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=2026-08-06T15:53:50.108251Z digest=sha256:17e076b4c9aafcc9c4e20a68e4acceb5fa4c5ddf3ce492ce97b809597017b94a

Observation 011307bc-fe22-4ae1-a153-de1405e75e77 · outbound

This paper cites Techniques of early incident detection and traffic monitoring centre in vanets: A review.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Techniques of early incident detection and traffic monitoring centre in vanets: A review

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:03.335811Z

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=2026-08-06T15:53:50.249548Z digest=sha256:62d7eaf6ec61b073e8bf89f2a1068907a4cd5ea9c9323bf3baecdcc296679cca

Observation f746664d-723d-498a-a8b6-ad9986d40d1f · outbound

This paper cites Adoption of artificial intelligence in smart cities: A comprehensive review.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Adoption of artificial intelligence in smart cities: A comprehensive review

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:03.125555Z

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=2026-08-06T15:53:50.378520Z digest=sha256:f094fbcc029db0771fea0ac6361b7d6ff013ed10d9a04039fbc00e1f1a07a951

Observation 19b23659-48b5-4fe2-825f-606e02097fd3 · outbound

This paper cites Tgif-qa: Toward spatio-temporal reasoning in visual question answering.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Tgif-qa: Toward spatio-temporal reasoning in visual question answering

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:02.971720Z

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=2026-08-06T15:53:50.529145Z digest=sha256:559ddc31bdfaafa5660084f4120478363b1783e0c824b8921a2d33b01bf6793a

Observation 265ed33a-954e-44eb-b241-50fa897458b3 · outbound

This paper cites High-resolution multi-source traffic data in new zealand.Sci- entific Data, 11(1):1216, 2024.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic High-resolution multi-source traffic data in new zealand.Sci- entific Data, 11(1):1216, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:02.799654Z

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=2026-08-06T15:53:50.596098Z digest=sha256:b6d42db5f553563b31c23ccf86b47210975a88b0f976e4658e4b2dc4fcc7fa3d

Observation 0188582b-0aa0-412d-bdb3-cdcba7394859 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:50.665017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:50.665017Z digest=sha256:deb633309b025132c11d2048a7466b2807ab82e359be39e2fad5f3ad40e74234

Observation aee2bf8f-c11d-412e-a857-e7d2b6e5d12a · outbound

This paper cites Coda: A real-world road corner case dataset for object detection in autonomous driving.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Coda: A real-world road corner case dataset for object detection in autonomous driving

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:02.623219Z

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=2026-08-06T15:53:50.803283Z digest=sha256:3ced9c9be12c69a73c3e02894f314366813058a01e38097bce5011a7bec26e7f

Observation bbca4762-c2b7-498e-a3aa-2785d393233a · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Rouge: A package for automatic evaluation of summaries

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:02.405490Z

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=2026-08-06T15:53:50.925672Z digest=sha256:916fec5ccb55b70812cb5a48b384081218a369676c6338076380af7dfe65f631

Observation 4b10cf24-28b2-4954-a677-b2ba4f35d8f6 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Improved baselines with visual instruction tuning, 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:02.245354Z

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=2026-08-06T15:53:51.027217Z digest=sha256:63f7c873d53cf8ef4a381f6e1fb81fd3bf4ee6ebe3e5495df2dc3f8c2edf8899

Observation 19f90517-f1b2-4eb5-af5c-bfa13f95a8f0 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, January 2024.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Llava-next: Im- proved reasoning, ocr, and world knowledge, January 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:02.082138Z

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=2026-08-06T15:53:51.094266Z digest=sha256:d5cb19962a868c311765b6aa96b07762431ada2388c8a5a854cc8593de8b0c9c

Observation fba8271b-eaf8-49ba-8cba-321f8d164fa9 · outbound

This paper cites Visual instruction tuning, 2023.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Visual instruction tuning, 2023

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:51.162515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:51.162515Z digest=sha256:82608cf4f2e0b11ed243054aa6bac36854d0b7acb58bfdaccfaa6aeb2b374613

Observation a407df50-d1e9-4921-8ea4-eb2f2ef6ca59 · outbound

This paper cites Largest: A benchmark dataset for large-scale traffic forecasting, 2023.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Largest: A benchmark dataset for large-scale traffic forecasting, 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.891871Z

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=2026-08-06T15:53:51.256904Z digest=sha256:3c04d8f946e9d2a691f9edabe6d2e603cb1a6d1b1171b41870aaf23badfd4799

Observation a610c6ac-11ce-4b7d-bf94-691bf4b5b6e8 · outbound

This paper cites Utd19: Understanding traffic capacity of urban networks.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Utd19: Understanding traffic capacity of urban networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.763906Z

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=2026-08-06T15:53:51.380325Z digest=sha256:effb4ba21e4c9a6b238530dc5a3b47f5a118975523d2c44d8b0cbe1880c928c2

Observation cdecd6fa-6fc7-476e-adcb-06d7de572a36 · outbound

This paper cites Drama: Joint risk localization and captioning in driving.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Drama: Joint risk localization and captioning in driving

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.667127Z

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=2026-08-06T15:53:51.521814Z digest=sha256:fb87c9ed267022efd86d6a8d770e16c9e7f1746a5f699f2dcc559d61843a139b

Observation 32cd3723-e54d-46c7-9d85-6d4f8215a036 · outbound

This paper cites Lingoqa: Visual question answering for autonomous driv- ing.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Lingoqa: Visual question answering for autonomous driv- ing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.518948Z

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=2026-08-06T15:53:51.641929Z digest=sha256:6ffb7b22d4767dc003848529ae000be25a51da0cdd59de00be8ef1b15c8579c2

Observation 6feeaad5-2943-4ab3-8d3b-7a882cb2129a · outbound

This paper cites Privacy-preserving pedestrian tracking with path image inpainting and 3d point cloud fea- tures.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Privacy-preserving pedestrian tracking with path image inpainting and 3d point cloud fea- tures

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.369210Z

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=2026-08-06T15:53:51.790576Z digest=sha256:37582ae1a3eb1d6af1963b5b23513e74701b5969cc8d8e69c59918c71f53f1e3

Observation 171e830d-48e8-479c-a5d9-2a664ee9e4a1 · outbound

This paper cites A review of artificial intelligence and machine learning for incident detectors in road transport systems.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic A review of artificial intelligence and machine learning for incident detectors in road transport systems

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.177826Z

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=2026-08-06T15:53:51.919849Z digest=sha256:e7c49d24777273202198887f7f09339bcaf817193ec53d07a767429fe5717e83

Observation 2fe0399b-7685-47b2-823b-08f93caf4408 · outbound

This paper cites Chaotic world: A large and challenging benchmark for human behavior under- standing in chaotic events.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Chaotic world: A large and challenging benchmark for human behavior under- standing in chaotic events

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:01.030622Z

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=2026-08-06T15:53:51.981955Z digest=sha256:53ab2d08585644f7fdb70f333ceea8c24af7ae54cce018336fbf746246e6c070

Observation 84a8fd7e-a50b-40b2-945b-9c9572a04df1 · outbound

This paper cites Goucher, Adam Perelman, and Aditya Ramesh et al.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Goucher, Adam Perelman, and Aditya Ramesh et al

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:00.913590Z

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=2026-08-06T15:53:52.052895Z digest=sha256:23bd6a9ac8dcf55355070db7ad072352f24dc44928c29434686b7c8a93b41489

Observation 0e3fc612-eeea-4058-8c84-0409b5b03951 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Bleu: a method for automatic evaluation of machine translation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:52.189650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:52.189650Z digest=sha256:27ad14ade8d5b9f8a14ba4422ca346d4d011f82e62cda1366a209208ac42e8a8

Observation 8b92f66c-f190-40cb-870c-12fdbd947443 · outbound

This paper cites Real- time road hazard information system.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Real- time road hazard information system

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:00.739667Z

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=2026-08-06T15:53:52.368863Z digest=sha256:10957cff3afb59c5009193bcd01325b3fdecc820ab198ad9bcc44fee8492ae16

Observation 55eac1d3-47f3-4a30-9920-664ee383cfd2 · outbound

This paper cites Traffic-Domain Video Question Answering with Automatic Captioning.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Traffic-Domain Video Question Answering with Automatic Captioning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:52.479719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:52.479719Z digest=sha256:3419c032b2c6df18ef8f7c138c27245b65ed84b1ccd0d8e58feb1ffc3a4436e1

Observation 485f3401-f78b-454e-8e37-af48c86b8323 · outbound

This paper cites Nuscenes-qa: a multi-modal visual question answering benchmark for autonomous driving scenario.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Nuscenes-qa: a multi-modal visual question answering benchmark for autonomous driving scenario

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:00.478641Z

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=2026-08-06T15:53:52.548883Z digest=sha256:b064ef1ad76913f084b55e14f1948d0c4a185689ceb3b5413fac1ee231d16a23

Observation 847463df-7131-4059-937e-d591483898df · outbound

This paper cites Shenoy, and Shanta Rangaswamy.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Shenoy, and Shanta Rangaswamy

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:54:00.248241Z

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=2026-08-06T15:53:52.658572Z digest=sha256:8cd1a797598fb0a1a669bd007af65b464ef7666ef43292680f85cd5455228369

Observation 8d8eba2b-3407-4aba-8fef-9065e3babf2d · outbound

This paper cites Find and focus: Retrieve and localize video events with natural language queries.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Find and focus: Retrieve and localize video events with natural language queries

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:59.960644Z

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=2026-08-06T15:53:52.788533Z digest=sha256:ff1e1853bf7088ccfc778df25f950766cd8e4a0981e4c14734be4e11aa07c0e4

Observation 4eb17dd6-3676-450c-be36-53fe8366ffac · outbound

This paper cites Vishnu, and C.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Vishnu, and C

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:59.704830Z

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=2026-08-06T15:53:52.868707Z digest=sha256:99c427715349276afc60c154927a9e605060234f4b568103aed49e15e604c09c

Observation bcea2d96-461a-428d-bce5-d7f7a744bc27 · outbound

This paper cites MovieChat+: Question-aware Sparse Memory for Long Video Question Answering.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic MovieChat+: Question-aware Sparse Memory for Long Video Question Answering

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:52.956161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:52.956161Z digest=sha256:036e11a7ac08ca5c6e580e073f51a1d38196e500b7c8cbde58be8550e1afe6f9

Observation 2f491589-4d5f-45d7-9449-0e0745b84da8 · outbound

This paper cites Movieqa: Understanding stories in movies through question- answering.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Movieqa: Understanding stories in movies through question- answering

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:53.039005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:53.039005Z digest=sha256:94ae6c5e9ab9dcf7609643e3baaeec5a6e1190a7dfea645f170f5ba2bb4da6db

Observation f21876a9-e868-48ea-8b71-ce75934764bf · outbound

This paper cites an unresolved cited work.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:53:59.491019Z

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=2026-08-06T15:53:53.174644Z digest=sha256:ea0b0eafcc8b11448ff661b65d7b36863a24c5593c34952021c01d4a87a7e169

Observation 65c1bf18-acd5-47b1-a75f-d9a622bde107 · outbound

This paper cites Cider: Consensus-based image description evalua- tion.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Cider: Consensus-based image description evalua- tion

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:53.224798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:53.224798Z digest=sha256:b17a74bfde9725ddd04d261921f7135a7051387b4a1e3f1baf21df67702e2ddb

Observation de6f2da6-2382-48cd-bf49-57e85c13a2ca · outbound

This paper cites Eyes on the road: State-of-the-art video question answering models assessment for traffic mon- itoring tasks, 2024.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Eyes on the road: State-of-the-art video question answering models assessment for traffic mon- itoring tasks, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:59.293527Z

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=2026-08-06T15:53:53.387727Z digest=sha256:5d8b12b167e84ce96fec0a0da00d2942761c822fef2cbd7892e5f92d46a6fd2c

Observation b034c943-e3d9-4ee3-a989-d2f317eca8dc · outbound

This paper cites Omnivid: A generative framework for universal video understanding.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Omnivid: A generative framework for universal video understanding

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:59.120068Z

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=2026-08-06T15:53:53.499149Z digest=sha256:d5693ea454c1a1b46559d7f8245aa2c881758770704fb82530aec0d84f3a45a2

Observation 971c742f-5ae8-41e5-a4e4-873ba5bf2ba7 · outbound

This paper cites Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution, 2024.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution, 2024

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.954782Z

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=2026-08-06T15:53:53.577437Z digest=sha256:4cc075683547bb533bfe7bbefff7a0d961c9e789aea026a120667c30267935aa

Observation 31c97622-c323-4eb9-82eb-f07545852dd1 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:53.681329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:53.681329Z digest=sha256:3fc024c0abebb700a39134df853911edde135c4dd03eef695cc77f8391c35b86

Observation fd965cf1-4793-44c8-9b71-6bfdcfe742e1 · outbound

This paper cites STAR: A Benchmark for Situated Reasoning in Real-World Videos.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic STAR: A Benchmark for Situated Reasoning in Real-World Videos

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:53.840655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:53.840655Z digest=sha256:0f98bf331df593ac853188d33acc09e2923454beb8a7ca7de70951d59793432f

Observation 3a9cd87f-d0da-4e09-b2e4-8c18a9b51f88 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Msr-vtt: A large video description dataset for bridging video and language

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:53.929328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:53.929328Z digest=sha256:e3eb7cbece5d89c7cec38cd1b0b6866a7c8e69f7ae02b0a3dfa2e27d4aa33c56

Observation aef00ed7-b77c-4314-9788-733a4a2f54b3 · outbound

This paper cites Sutd-trafficqa: A question answering benchmark and an efficient network for video rea- soning over traffic events.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Sutd-trafficqa: A question answering benchmark and an efficient network for video rea- soning over traffic events

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.820338Z

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=2026-08-06T15:53:54.061469Z digest=sha256:448cb7e1c318efd4fe2c4d90ea8a851a9d8becbe67d93de3ed861190bf026fb4

Observation 2922cb51-5bc0-4185-9865-ef7946be51cf · outbound

This paper cites Egocentric video task translation.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Egocentric video task translation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.679026Z

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=2026-08-06T15:53:54.250226Z digest=sha256:e2829afe807f475f98228f7f9971d8af09f0242cfd823414321aac965d2b6eb7

Observation 97903f35-af80-4bfd-808a-48899ae85486 · outbound

This paper cites A data-driven rule-based system for china’s traffic acci- dent prediction by considering the improvement of safety ef- ficiency.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic A data-driven rule-based system for china’s traffic acci- dent prediction by considering the improvement of safety ef- ficiency

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.541338Z

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=2026-08-06T15:53:54.392491Z digest=sha256:f39582ed5a4470c650c944cc01bc071d484471f955643709e7bdfd63f5d8deb7

Observation 9c8b3a6a-fcf0-44ce-857a-9ddef17580a6 · outbound

This paper cites Activitynet-qa: A dataset for understanding complex web videos via question answering.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Activitynet-qa: A dataset for understanding complex web videos via question answering

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.391112Z

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=2026-08-06T15:53:54.537305Z digest=sha256:ec6f20eab2c078453904aeac61ea1cd6fe9f0dfe85f3a7822da7517422bb9d9c

Observation 7341e1b2-67e9-4fd4-beda-03d71682c418 · outbound

This paper cites Llava- next: A strong zero-shot video understanding model, April.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Llava- next: A strong zero-shot video understanding model, April

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.273903Z

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=2026-08-06T15:53:54.663152Z digest=sha256:071c07843f6df7ebfd556551ae46dd4c2378bcd470aa9ef0c0199f6cfdaa66c9

Observation a55470e9-e209-428d-8be4-0ef2483340c7 · outbound

This paper cites TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:54.795462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:54.795462Z digest=sha256:9b4c37769efe1784c932a165885607e688713933362a6c566de7bb3667bae7ba

Observation c2c559b1-fc52-4fc8-ade9-c62a100785cd · outbound

This paper cites 5g- enabled v2x communications for vulnerable road users safety applications: a review.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic 5g- enabled v2x communications for vulnerable road users safety applications: a review

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:58.109766Z

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=2026-08-06T15:53:54.881516Z digest=sha256:b5284e81c5daa4e5a375b706a562708e580fce3474b00950ad2af7677c838cc5

Observation 2daa3637-c669-4a26-81fe-1bfeec7678f6 · outbound

This paper cites an unresolved cited work.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Unresolved cited work

Reference 55

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T15:53:58.001385Z

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=2026-08-06T15:53:54.952157Z digest=sha256:b69c95a56c0489903485bd617f3985b56af7437c19771c04f1a4de97c3adda1d

Observation 8a9d5a71-8c88-4404-ac4f-b1dc56077ef3 · outbound

This paper cites Questions must be answerable using the clip alone.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Questions must be answerable using the clip alone

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:57.877792Z

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=2026-08-06T15:53:55.029826Z digest=sha256:a9f99c94c8ebda76cc11577f8a1610b1a56305cee1498cb70e7841c962bf472f

Observation 4c3e52b9-47ce-4192-894f-aa375089bc07 · outbound

This paper cites clip_videos_0 TAXONOMY & EXAMPLES:.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic clip_videos_0 TAXONOMY & EXAMPLES:

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:57.716922Z

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=2026-08-06T15:53:55.144670Z digest=sha256:d8a9991fad69327483b940e0712a0be25642037a5502b4d5b6e20e955e338855

Observation 4931b4dd-3a39-4a05-a0f6-b23293dd8f0b · outbound

This paper cites Example: Question: Is there a blue bus in the scene? ; Answer: Yes, a blue bus is stopped in the middle lane.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Example: Question: Is there a blue bus in the scene? ; Answer: Yes, a blue bus is stopped in the middle lane

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:57.576891Z

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=2026-08-06T15:53:55.314081Z digest=sha256:9b6992701bdbff03889c67dff1d131759bc6097b584fb3f8d7cdcb0c4cc877c6

Observation aad2ec96-1ecf-4721-90b4-161168e5b98e · outbound

This paper cites Example: Question: How many white cars are visible at 0–2 s? ; Answer: Four white cars.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Example: Question: How many white cars are visible at 0–2 s? ; Answer: Four white cars

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:57.372624Z

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=2026-08-06T15:53:55.455440Z digest=sha256:f86056bb9f2ac6f5b13ba7784f94ef9933e4c01dddf24da11c6159ba28039258

Observation 92d00884-7273-4758-aaeb-8f400de490d9 · outbound

This paper cites Example: Question: Did any vehicle run the red light before the pedestrian crossed?; Answer: Yes, a black sedan did at 0.9 s.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Example: Question: Did any vehicle run the red light before the pedestrian crossed?; Answer: Yes, a black sedan did at 0.9 s

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:57.173541Z

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=2026-08-06T15:53:55.519995Z digest=sha256:4ca900e59efa6672c36d75b367e3dc4136ed4a0508bcfe9f7785f2eb4cf41b36

Observation 10679e98-1228-425b-8cd9-01a6eaf7f3cd · outbound

This paper cites Example: Question: Which occurred first: the cyclist entering the bike lane or the tram moving?; Answer: The cyclist entered first.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Example: Question: Which occurred first: the cyclist entering the bike lane or the tram moving?; Answer: The cyclist entered first

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:56.968834Z

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=2026-08-06T15:53:55.589683Z digest=sha256:7755a70fb2943261b820588f038390f1c17866d35ce14d95b579ce40c61545aa

Observation d6e960f2-2856-4fb6-b986-d9a0268fc7df · outbound

This paper cites Example: Question: Is it true that no black car turned onto the bike lane? ; Answer: False; one black car did turn at 0.9 s.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Example: Question: Is it true that no black car turned onto the bike lane? ; Answer: False; one black car did turn at 0.9 s

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:56.820840Z

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=2026-08-06T15:53:55.662923Z digest=sha256:ed50a4419a68e3ce635bec8e0423a97002fa0dea56a8a5780b2438cc360cdc60

Observation c57d30cb-10da-471a-a564-e1a0c77bfdf9 · outbound

This paper cites video questionnaire.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic video questionnaire

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:56.662445Z

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=2026-08-06T15:53:55.733660Z digest=sha256:8377fd520e12bc2f5dcf174d81861185590dead60584db6c0d02f82831f48784

Observation 0c301c8b-63a0-4038-a9eb-72f5ec002d38 · outbound

This paper cites Each frame is tiled, super-resolved ( ×2 Real-ESRGAN) and fed to YOLOv8-small (person class) and a fine-tuned licence- plate detector.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic Each frame is tiled, super-resolved ( ×2 Real-ESRGAN) and fed to YOLOv8-small (person class) and a fine-tuned licence- plate detector

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:56.451113Z

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=2026-08-06T15:53:55.785634Z digest=sha256:2c8021a0795f3e27703264da0613cac549d23fb57559bddcdb51da25419659f8

Observation f0380981-835f-4c81-b114-e69e9e78bfbd · outbound

This paper cites irreversible.

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic irreversible

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:56.276841Z

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=2026-08-06T15:53:55.888230Z digest=sha256:865ca3bc02181adac7852dfb08b8a1df443a8175afb9d93e1e2903450077a9aa

Pith citing papers

Observation bd488c09-57dd-4271-bfa8-28f4ef8995e1 · inbound

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning cites this paper.

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning InterAct-Video: Reasoning-Rich Video QA for Urban Traffic

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:30:57.829507Z

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=2026-05-10T17:09:57.040135Z digest=sha256:aa8863f1613d391d096af3abf215ddd43d45934f369b260dc173d1f81db0d5d0