Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T19:17:20.745425Z
Paper Citation Record · LEDGER
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models
As of 4 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2605.01662.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:16:51.254681Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
73 of 73 outbound references displayed
- verified exact21
- verified fuzzy47
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ce2e797f-d450-4d35-94f5-cb930986bfd6 · outbound
This paper cites GPT-4 Technical Report.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models GPT-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-09T05:55:31.666045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf96cc15-4114-47fa-a1f5-b32fa019df95 · outbound
This paper cites Psychology Press.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Psychology Press
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.080570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd7e063a-af38-48bb-9927-890f171fb4c1 · outbound
This paper cites Active perception.Proceedings of the IEEE, 76(8):966–1005.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active perception.Proceedings of the IEEE, 76(8):966–1005
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.037518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 709ce9dd-cfc9-4231-840a-3029cb23cd1f · outbound
This paper cites Revisiting active perception.Autonomous Robots, 42:177– 196.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Revisiting active perception.Autonomous Robots, 42:177– 196
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.960694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d5e2eb7f-f225-4aeb-baff-79bb96e3df92 · outbound
This paper cites Activitynet: A large-scale video bench- mark for human activity understanding.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Activitynet: A large-scale video bench- mark for human activity understanding
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.083827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9a3f3610-568d-4b6c-b370-3290297c9f52 · outbound
This paper cites The perception-behavior expressway: Auto- maticeffectsofsocialperceptiononsocialbehavior.Advances in Experimental Social Psychology/Academic Press.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models The perception-behavior expressway: Auto- maticeffectsofsocialperceptiononsocialbehavior.Advances in Experimental Social Psychology/Academic Press
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.071575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c8a43a9-a33f-41e1-bdc1-6dc4586347d7 · outbound
This paper cites VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.659733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 06bb5e40-0395-4daa-8df7-db205946974d · outbound
This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:58:42.298802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 13146a99-53d0-40b6-8d45-5b85be2eb64f · outbound
This paper cites an unresolved cited work.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T03:11:35.942275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1bc0fe3e-f829-48f8-b39a-2714959ba37e · outbound
This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.141895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8a5109d8-fdbd-4bdb-909f-60461c6da5da · outbound
This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:24:30.435137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 45567afd-c411-48d6-aafd-5be69a8bfeea · outbound
This paper cites Real-time intermediate flow estimation for video frame interpolation.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Real-time intermediate flow estimation for video frame interpolation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.990837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8868eec-f52f-467c-b308-bbfa81ddf0bc · outbound
This paper cites Building a mind palace: Structuring environment- grounded semantic graphs for effective long video analysis with llms.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Building a mind palace: Structuring environment- grounded semantic graphs for effective long video analysis with llms
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.032537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b2f6a14-ebc1-4b1a-b8c5-7995a2857a84 · outbound
This paper cites Adaptivevideounderstanding agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Adaptivevideounderstanding agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.046062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d7fa9f5-5917-45cc-af1b-e1899bf07194 · outbound
This paper cites Cost-sensitive feature acquisi- tionandclassification.PatternRecognition,40(5):1474–1485.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Cost-sensitive feature acquisi- tionandclassification.PatternRecognition,40(5):1474–1485
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.917041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d7fc838-0364-463c-8dcd-219658f94108 · outbound
This paper cites Egoschema leaderboard.Kaggle Leaderboard.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Egoschema leaderboard.Kaggle Leaderboard
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.067395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71b9b300-e04e-4249-bfa0-b5a8df08b993 · outbound
This paper cites An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.716021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9037d6a7-2e45-4b58-9f13-29c4cd34cda2 · outbound
This paper cites Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.670146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d72b43c-e4d0-475d-9d19-20b2d94a7185 · outbound
This paper cites Active Data Acquisition in Autonomous Driving Simulation.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active Data Acquisition in Autonomous Driving Simulation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.718988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b58129b5-a744-45f4-a04a-d389436fbe33 · outbound
This paper cites Accurateimputationandefficientdataacquisitionwith transformer-based vaes.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Accurateimputationandefficientdataacquisitionwith transformer-based vaes
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.964705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0ceafe7-78bc-42a5-8464-a0a72126412a · outbound
This paper cites Lmms-eval: Accelerating the development of large multimoal models.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Lmms-eval: Accelerating the development of large multimoal models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.117369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 075bbe11-cfd6-45f2-8a1e-3aad7457b462 · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models LLaVA-OneVision: Easy Visual Task Transfer
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.663235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 14800086-7ba6-4d6b-bcfb-7a988035f45e · outbound
This paper cites Intentqa: Context-aware video intent reasoning.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Intentqa: Context-aware video intent reasoning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.003594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d28fd3c5-02a7-4686-9a77-795a12fef6aa · outbound
This paper cites Mvbench: Acomprehensivemulti-modalvideounderstanding benchmark.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Mvbench: Acomprehensivemulti-modalvideounderstanding benchmark
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.938574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f5d3bc76-2c7a-4f85-a395-2d6392101f73 · outbound
This paper cites Foundations & trends in multimodal machine learning: Prin- ciples, challenges, and open questions.ACM Computing Surveys, 56(10):1–42.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Foundations & trends in multimodal machine learning: Prin- ciples, challenges, and open questions.ACM Computing Surveys, 56(10):1–42
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.076925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 918d1069-ca0e-42e7-8737-9b6fb13fc9c0 · outbound
This paper cites Videoinsta: Zero-shot long video understanding via informative spatial- temporal reasoning with llms.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Videoinsta: Zero-shot long video understanding via informative spatial- temporal reasoning with llms
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.950383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2744caf3-5bfd-4538-841a-9d57203b1203 · outbound
This paper cites Video-rag: Visually-aligned retrieval-augmented long video comprehension.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Video-rag: Visually-aligned retrieval-augmented long video comprehension
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.092283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f332021-f86c-44eb-933a-166e2130c0ff · outbound
This paper cites Drvideo: Document retrieval based long video understanding.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Drvideo: Document retrieval based long video understanding
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.946090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 347b50f8-096c-4186-bdad-cf71a0de69e1 · outbound
This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:36:18.685087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee9374e1-f65d-4d21-80a6-25b3a9ee1123 · outbound
This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.Advances in Neural Information Processing Systems, 36.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Egoschema: A diagnostic benchmark for very long- form video language understanding.Advances in Neural Information Processing Systems, 36
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.058546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d5845ac-fee2-461b-ac51-b1e55371dbd6 · outbound
This paper cites an unresolved cited work.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T03:11:35.981872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff96e788-ecd0-420a-a400-de6a8e9219bb · outbound
This paper cites Morevqa: Exploring modular reasoning models for video question answering.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Morevqa: Exploring modular reasoning models for video question answering
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.054444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf4c8499-f989-4bec-b0d6-6c90de6f7152 · outbound
This paper cites Gpt-4o blog: Hello gpt-4o.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Gpt-4o blog: Hello gpt-4o
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.012441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 50b021f1-5f33-43a3-ae69-91eb1321c503 · outbound
This paper cites Too many frames, not all useful: Efficient strategies for long-form video qa.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Too many frames, not all useful: Efficient strategies for long-form video qa
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.736782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 50fcf6c8-8ed9-4a60-a74a-026e58887ad9 · outbound
This paper cites Scalable diffusion models with transformers.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Scalable diffusion models with transformers
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.956408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 14004e7a-64c2-44c6-88eb-3c91636cf148 · outbound
This paper cites Active percep- tion: sensorimotor circuits as a cortical basis for language.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active percep- tion: sensorimotor circuits as a cortical basis for language
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.973168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 949a800e-5209-4b33-b563-6e0aa5f4eb68 · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.062882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 16fce5a7-3ba6-4cd1-9247-f9ab32c70935 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T14:35:23.646633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 45deb8c5-0c72-44eb-b45f-dbc578ce3ed2 · outbound
This paper cites Active feature-value acquisition.Management Science, 55(4): 664–684.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active feature-value acquisition.Management Science, 55(4): 664–684
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.088324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b954211-0a04-4145-995b-8d0b29936c70 · outbound
This paper cites An ecological approach to personality: Psycholog- ical traits as drivers and consequences of active perception.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models An ecological approach to personality: Psycholog- ical traits as drivers and consequences of active perception
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.986520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ddd73909-1e2c-4225-a0de-19fe7adfd299 · outbound
This paper cites Maximizing Information Gain in Partially Observable Environments via Prediction Reward.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Maximizing Information Gain in Partially Observable Environments via Prediction Reward
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.712709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0c0b2b5-76d3-4261-9bc9-be0d93d8cf86 · outbound
This paper cites Traveler: A modular multi-lmm agent framework for video question-answering.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Traveler: A modular multi-lmm agent framework for video question-answering
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.977258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8e21caea-f888-4a0d-8adb-79d7baf086a0 · outbound
This paper cites Joint active feature acquisition and classification with variable-size set encoding.Advancesinneuralinformationprocessingsystems, 31.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Joint active feature acquisition and classification with variable-size set encoding.Advancesinneuralinformationprocessingsystems, 31
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.041817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aa3a7a44-82f4-4d86-bc40-dfd3cefffa77 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.923878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 41eef350-d07b-450c-b82c-9b8e3edc65d7 · outbound
This paper cites Stanford University.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Stanford University
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.120944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd15e77c-f160-475d-99b8-5cb61f3dc4b4 · outbound
This paper cites VideoAgent: Long-form Video Understanding with Large Language Model as Agent.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.693563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01fe7a43-bdd3-4e21-a48d-92919b0efde8 · outbound
This paper cites VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.687909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89895639-7621-42d4-9830-a2cde7fdf635 · outbound
This paper cites Network mechanisms of ongoing brain activity’s influence on conscious visual perception.Nature Communications, 15(1): 5720.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Network mechanisms of ongoing brain activity’s influence on conscious visual perception.Nature Communications, 15(1): 5720
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.129658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ceae1ef3-5e0f-4ade-bc64-11b529f55834 · outbound
This paper cites Next-qa: Next phase of question-answering to explaining temporalactions.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Next-qa: Next phase of question-answering to explaining temporalactions
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.097657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 526113ce-1e40-46e2-af1c-e6c8b50c2d24 · outbound
This paper cites Slowfast-llava: A strong training-free baseline for video large language models.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Slowfast-llava: A strong training-free baseline for video large language models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.105435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3fc1a1a1-25ca-4c17-be13-44cfab9930e2 · outbound
This paper cites Evalai: Towards better evalua- tion systems for ai agents.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Evalai: Towards better evalua- tion systems for ai agents
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.113039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 78fe61ae-b9e5-4928-b71c-7613f598bfca · outbound
This paper cites Active sensing in the categorization of visual patterns.Elife, 5:e12215.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active sensing in the categorization of visual patterns.Elife, 5:e12215
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.137850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9154b44-e78d-459e-b865-96d65919d340 · outbound
This paper cites Vca: Video curious agent for long video understanding.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Vca: Video curious agent for long video understanding
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.101504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0ace8d5-ce54-4560-86bd-8b84845abce8 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T18:26:22.534732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 69b7c51e-3217-4686-86c7-6b892ff83e4b · outbound
This paper cites CLEVRER: CoLlision Events for Video REpresentation and Reasoning.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T18:01:50.618167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7df06415-8597-4de5-b8da-a03ff47487a1 · outbound
This paper cites Reinforcement Learning with Efficient Active Feature Acquisition.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Reinforcement Learning with Efficient Active Feature Acquisition
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.684974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1edb73f1-2eec-447e-914b-f89d4cf37902 · outbound
This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:06:45.090605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1065da24-55b8-496d-98b2-8391869bce17 · outbound
This paper cites Active sensing.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active sensing
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.994976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e1df9adc-b2d5-457f-a911-213fce65abab · outbound
This paper cites Activitynet-qa: A dataset for understandingcomplexwebvideosviaquestionanswering.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Activitynet-qa: A dataset for understandingcomplexwebvideosviaquestionanswering
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.929678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2fef03a1-0e95-4b77-949b-833037f68e2a · outbound
This paper cites Active Perception and Representation for Robotic Manipulation.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Active Perception and Representation for Robotic Manipulation
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.646806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e15f4043-62b2-46b3-9d2a-6ec710a8141d · outbound
This paper cites A simple llmframeworkforlong-rangevideoquestion-answering.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models A simple llmframeworkforlong-rangevideoquestion-answering
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.124998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b06da63-8fe3-4fc4-8bd2-69d84e1a9f45 · outbound
This paper cites Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:31.681923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e93fbef-b51c-4c4a-a725-6f99990aac5d · outbound
This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models MLVU: Benchmarking Multi-task Long Video Understanding
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:55:26.650724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1eee0626-5379-4ccf-b776-4d3934a28137 · outbound
This paper cites Weprovideadetailedpromptwithexamplestoleverage the video generation model’s capacity as much as possi- ble.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Weprovideadetailedpromptwithexamplestoleverage the video generation model’s capacity as much as possi- ble
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.023935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a41c8e9c-96fd-4a29-a2b4-522e594ebfc1 · outbound
This paper cites 1b)Extract visual cues that indicate the environment (e.g., indoor, outdoor, time of day) and participants (e.g., people, animals, objects).
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models 1b)Extract visual cues that indicate the environment (e.g., indoor, outdoor, time of day) and participants (e.g., people, animals, objects)
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.050545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 28658935-4fb8-454c-9ba1-91088bd5029a · outbound
This paper cites 2b) Consider each possible answer to understand different potential outcomes or scenarios.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models 2b) Consider each possible answer to understand different potential outcomes or scenarios
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.934272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eea959ae-ae5d-4947-80e5-b8c646c7928c · outbound
This paper cites 3b) Focus on generating dynamics that would lead to scenarios described in the possible answers.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models 3b) Focus on generating dynamics that would lead to scenarios described in the possible answers
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.008002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b002e87-c3c0-435b-9953-97047572d18b · outbound
This paper cites an unresolved cited work.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T03:11:36.133711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 88229131-0c9c-424a-85a2-c7c015f61943 · outbound
This paper cites an unresolved cited work.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T03:11:36.109028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f27a14a8-eeb1-49a7-a4d7-cc7fd7fba306 · outbound
This paper cites an unresolved cited work.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T03:11:35.968728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34b523ee-c76f-439d-8963-ab4721446afc · outbound
This paper cites 1b) Incorporate common sense and logical reasoning to predict what is likely to happen next.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models 1b) Incorporate common sense and logical reasoning to predict what is likely to happen next
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.028199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b2eb67a-7416-4987-bcde-7a30a63eb63b · outbound
This paper cites 2b) Highlight events or actions that would help distinguish between the different answers.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models 2b) Highlight events or actions that would help distinguish between the different answers
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:35.999526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4a3581e0-c858-4a56-ab44-17e19e2f2cd3 · outbound
This paper cites What does the person do after the light turns green?.
Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models What does the person do after the light turns green?
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T03:11:36.019864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation b977cab4-e1ab-4819-829d-695c14c02af6 · inbound
RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? cites this paper.
RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos? Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:16:51.254681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.