Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:53.143452Z
Paper Citation Record · LEDGER
Understanding Complexity in VideoQA via Visual Program Generation
As of 16 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 2 inbound Pith citation observations for arXiv:2505.13429.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:32:22.239838Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:02:34.105509Z
Reference resolution
89 of 89 outbound references displayed
- verified exact0
- verified fuzzy54
- unresolved35
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 89d10c2e-1c25-4f44-848f-5fe60e5a602c · outbound
This paper cites write newline.
Understanding Complexity in VideoQA via Visual Program Generation write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:50.991012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bd956ba-abd7-406e-9e0a-4b1cdbb95458 · outbound
This paper cites A shared neural substrate for action verbs and observed actions in human posterior parietal cortex.
Understanding Complexity in VideoQA via Visual Program Generation A shared neural substrate for action verbs and observed actions in human posterior parietal cortex
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.059253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e4bd6e0-9009-433b-9681-1475a3df77d4 · outbound
This paper cites Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications.
Understanding Complexity in VideoQA via Visual Program Generation Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.064334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc8c7136-bec3-4ceb-bc97-11ae44aaad58 · outbound
This paper cites Neural module networks.
Understanding Complexity in VideoQA via Visual Program Generation Neural module networks
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.068935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a7bc1fc-7307-4c53-8d3b-808d616c1fc6 · outbound
This paper cites Is space-time attention all you need for video understanding? In ICML, 2021.
Understanding Complexity in VideoQA via Visual Program Generation Is space-time attention all you need for video understanding? In ICML, 2021
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.072802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0cf77f5-ca21-45f3-b652-b62bcca0071f · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7092f22-b78f-4178-9d96-c073b9fd1a44 · outbound
This paper cites H., Lu, P., Nocedal, J., and Zhu, C.
Understanding Complexity in VideoQA via Visual Program Generation H., Lu, P., Nocedal, J., and Zhu, C
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.081807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27f51f1a-24da-4516-addf-e93ff3112c37 · outbound
This paper cites ActivityNet : A large-scale video benchmark for human activity understanding.
Understanding Complexity in VideoQA via Visual Program Generation ActivityNet : A large-scale video benchmark for human activity understanding
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.196727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d088cd8-c151-44b2-b710-7a69da522442 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Understanding Complexity in VideoQA via Visual Program Generation Evaluating Large Language Models Trained on Code
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.223294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60cc9b1c-45ba-4a8b-b171-89c597e44e29 · outbound
This paper cites E., et al.
Understanding Complexity in VideoQA via Visual Program Generation E., et al
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.227980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40d5f1a4-85a6-4567-9246-d9a0ef99a0b7 · outbound
This paper cites and Gr \`e zes, J.
Understanding Complexity in VideoQA via Visual Program Generation and Gr \`e zes, J
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b166968-310d-4ddb-a329-fb8689f7c3ea · outbound
This paper cites Brain activity during observation of actions.
Understanding Complexity in VideoQA via Visual Program Generation Brain activity during observation of actions
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5887e24f-ebc2-42d2-ac0c-16ec36401406 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:56.553800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca03a4fd-f291-4ce6-b059-8afaa07ecb69 · outbound
This paper cites K., Winn, J., and Zisserman, A.
Understanding Complexity in VideoQA via Visual Program Generation K., Winn, J., and Zisserman, A
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.540693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7130db4c-09a2-4529-ae70-5129474e11da · outbound
This paper cites and Soto, A.
Understanding Complexity in VideoQA via Visual Program Generation and Soto, A
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2e8376d-b64f-42d8-919d-f2117f9d7be6 · outbound
This paper cites Masked autoencoders as spatiotemporal learners.
Understanding Complexity in VideoQA via Visual Program Generation Masked autoencoders as spatiotemporal learners
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.329880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ecacacbb-e0c7-4e8b-921e-e8b30b1338f9 · outbound
This paper cites GPTScore: Evaluate as You Desire.
Understanding Complexity in VideoQA via Visual Program Generation GPTScore: Evaluate as You Desire
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fa37ad3-6d7a-43d0-bcc8-f59a618acda0 · outbound
This paper cites VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling.
Understanding Complexity in VideoQA via Visual Program Generation VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.322345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c108a262-3a8f-4caf-8cd2-0b48b7b7fc61 · outbound
This paper cites Recursive visual programming.
Understanding Complexity in VideoQA via Visual Program Generation Recursive visual programming
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0e85dfe-50ca-49f7-af29-7c23e729e380 · outbound
This paper cites Adaptive computation time for recurrent neural networks.
Understanding Complexity in VideoQA via Visual Program Generation Adaptive computation time for recurrent neural networks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.308405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1fd69439-8776-4337-9730-9ad50c48a07b · outbound
This paper cites AgQA : A benchmark for compositional spatio-temporal reasoning.
Understanding Complexity in VideoQA via Visual Program Generation AgQA : A benchmark for compositional spatio-temporal reasoning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.183194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0765632e-91f3-44ac-b645-9ed3a96339d4 · outbound
This paper cites and Kembhavi, A.
Understanding Complexity in VideoQA via Visual Program Generation and Kembhavi, A
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.174661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 77b9ce6b-182f-48ed-83b7-62ea30d7dc28 · outbound
This paper cites V., Sethi, R., and Ullman, J.
Understanding Complexity in VideoQA via Visual Program Generation V., Sethi, R., and Ullman, J
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.140553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bb2e49d6-2f87-4124-8aa8-6bdd98dfe28a · outbound
This paper cites Learning to reason: End-to-end module networks for visual question answering.
Understanding Complexity in VideoQA via Visual Program Generation Learning to reason: End-to-end module networks for visual question answering
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:56.022028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation db603616-1975-4174-a68f-6b4da6f4e151 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:56.011441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b11e4c7e-41b0-48a1-acb0-8711aed44e0e · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bad9a63c-f821-409f-9078-d7a0fd2d04a1 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7be27510-0989-4a80-a577-fae7d25c3287 · outbound
This paper cites and Han, Y.
Understanding Complexity in VideoQA via Visual Program Generation and Han, Y
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52d0685e-e369-426c-8407-dc37a16de43f · outbound
This paper cites CLEVR : A diagnostic dataset for compositional language and elementary visual reasoning.
Understanding Complexity in VideoQA via Visual Program Generation CLEVR : A diagnostic dataset for compositional language and elementary visual reasoning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.787570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4a7cd14-7886-4e6f-bf97-dabeafb351df · outbound
This paper cites Inferring and executing programs for visual reasoning.
Understanding Complexity in VideoQA via Visual Program Generation Inferring and executing programs for visual reasoning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.777869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0c07739-aa8c-4d9d-8cd4-07464fbab446 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cf7058e5-aedf-4cb1-9b87-09d8d8c7e458 · outbound
This paper cites W., Tapaswi, M., and Fidler, S.
Understanding Complexity in VideoQA via Visual Program Generation W., Tapaswi, M., and Fidler, S
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.688625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c3beb552-4555-4324-a1cd-0a9299354cdb · outbound
This paper cites and Bojar, O.
Understanding Complexity in VideoQA via Visual Program Generation and Bojar, O
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 99390403-e02d-41ab-9bb4-aa4900e56ad2 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59170970-a60e-427d-b6ea-254d76a67255 · outbound
This paper cites and Kramer, O.
Understanding Complexity in VideoQA via Visual Program Generation and Kramer, O
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eb2bc160-0bf3-4a8e-94f7-99ef0991233a · outbound
This paper cites Dense-captioning events in videos.
Understanding Complexity in VideoQA via Visual Program Generation Dense-captioning events in videos
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.505228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b345012c-50fb-41b0-bbc4-56890447f830 · outbound
This paper cites BLIP-2 : Bootstrapping language-image pre-training with frozen image encoders and large language models.
Understanding Complexity in VideoQA via Visual Program Generation BLIP-2 : Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.491312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6004c26b-7436-4087-bf83-ba831b93b451 · outbound
This paper cites MVBench : A comprehensive multi-modal video understanding benchmark.
Understanding Complexity in VideoQA via Visual Program Generation MVBench : A comprehensive multi-modal video understanding benchmark
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.440557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08bbdb7b-4e67-43fd-9767-878955cf28ac · outbound
This paper cites A technique for the measurement of attitudes.
Understanding Complexity in VideoQA via Visual Program Generation A technique for the measurement of attitudes
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d852b290-6d99-4c5b-aa41-734f0a6094bc · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e17724d-cf08-4d74-af08-42ae8fdd86df · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:51.984196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ccd3f8a-0eff-47ba-b4fb-0de746ebedaf · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:55.341479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad5bd453-9680-40d6-b2c8-8c243b968d21 · outbound
This paper cites L., Nejadasl, F.
Understanding Complexity in VideoQA via Visual Program Generation L., Nejadasl, F
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.328942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a2eef59-ab74-4526-aee2-f79c3c8ecddd · outbound
This paper cites C., Adeli, E., and Li, F.-F.
Understanding Complexity in VideoQA via Visual Program Generation C., Adeli, E., and Li, F.-F
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.294349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e3f0a8a-6d99-4add-8081-45b11def5ea2 · outbound
This paper cites Y., Wu, J., Niebles, J.
Understanding Complexity in VideoQA via Visual Program Generation Y., Wu, J., Niebles, J
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.251931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2956f30d-8cff-437f-bb74-40007ba61fad · outbound
This paper cites VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding.
Understanding Complexity in VideoQA via Visual Program Generation VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:52.268106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04dd940f-c62f-4b38-98a0-001d23921706 · outbound
This paper cites Self-refine: Iterative refinement with self-feedback.
Understanding Complexity in VideoQA via Visual Program Generation Self-refine: Iterative refinement with self-feedback
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.241956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3e63888b-157e-4a7b-8945-445c70b22ef1 · outbound
This paper cites EgoSchema : A diagnostic benchmark for very long-form video language understanding.
Understanding Complexity in VideoQA via Visual Program Generation EgoSchema : A diagnostic benchmark for very long-form video language understanding
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.229170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 157573ae-15cc-4564-a454-05c2a6117481 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:55.218861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd40ece6-92b4-4b2a-b863-56dd25c2bbb5 · outbound
This paper cites and Vondrick, C.
Understanding Complexity in VideoQA via Visual Program Generation and Vondrick, C
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.179229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f745b9c-c4a7-4e3a-936d-d8e0b923dc59 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:55.084828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4abd0291-46ce-4fce-bd37-46f94e1b3f70 · outbound
This paper cites GPT-4 technical report, 2023 b.
Understanding Complexity in VideoQA via Visual Program Generation GPT-4 technical report, 2023 b
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.072753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c016c4a7-fb51-4f2e-83c6-d55dffdf232f · outbound
This paper cites and Schitter, C.
Understanding Complexity in VideoQA via Visual Program Generation and Schitter, C
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:55.035573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca391c39-d642-4a39-be9c-1360b4519c2f · outbound
This paper cites A., Stretcu, O., Neubig, G., Pocz \'o s, B., and Mitchell, T.
Understanding Complexity in VideoQA via Visual Program Generation A., Stretcu, O., Neubig, G., Pocz \'o s, B., and Mitchell, T
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.935382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9bb79496-4021-4868-be98-b342926e1830 · outbound
This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.
Understanding Complexity in VideoQA via Visual Program Generation W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:52.505588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66c93eda-5306-4770-b782-9afe71995b4d · outbound
This paper cites D., Ermon, S., and Finn, C.
Understanding Complexity in VideoQA via Visual Program Generation D., Ermon, S., and Finn, C
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:52.510472Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42d4c87c-6a6a-44b6-827e-3703364546a6 · outbound
This paper cites Annotating objects and relations in user-generated videos.
Understanding Complexity in VideoQA via Visual Program Generation Annotating objects and relations in user-generated videos
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.892020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2d485fa0-c56d-454b-b223-ea5a89d6485d · outbound
This paper cites HuggingGPT : Solving AI tasks with ChatGPT and its friends in hugging face.
Understanding Complexity in VideoQA via Visual Program Generation HuggingGPT : Solving AI tasks with ChatGPT and its friends in hugging face
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.835259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb75f1b2-6544-412a-8f2e-20e9e56f825f · outbound
This paper cites A., Varol, G., Wang, X., Farhadi, A., Laptev, I., and Gupta, A.
Understanding Complexity in VideoQA via Visual Program Generation A., Varol, G., Wang, X., Farhadi, A., Laptev, I., and Gupta, A
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.821822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bf749fed-8985-4223-b74e-56a9e968d7a8 · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:54.729547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f403c41a-248b-4a1e-a39c-ce172b6e01e8 · outbound
This paper cites T., and Leordeanu, M.
Understanding Complexity in VideoQA via Visual Program Generation T., and Leordeanu, M
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.687545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86f92031-0c26-4206-bfcd-adab7d323854 · outbound
This paper cites less is more.
Understanding Complexity in VideoQA via Visual Program Generation less is more
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.616302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6719b62a-8ec8-449d-ab37-3ca6793abaa9 · outbound
This paper cites Modular visual question answering via code generation.
Understanding Complexity in VideoQA via Visual Program Generation Modular visual question answering via code generation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.548302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ca8dff22-2529-4b59-8ff5-755e67f4c2ac · outbound
This paper cites ViperGPT : Visual inference via python execution for reasoning.
Understanding Complexity in VideoQA via Visual Program Generation ViperGPT : Visual inference via python execution for reasoning
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.536876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fcb49ab8-56ad-40a6-a2ba-042cc377d8ee · outbound
This paper cites T., Fu, J., Phan, M.
Understanding Complexity in VideoQA via Visual Program Generation T., Fu, J., Phan, M
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.472736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b720306-7b7f-4986-94b3-e57a2bb6c320 · outbound
This paper cites A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., and Li, L.-J.
Understanding Complexity in VideoQA via Visual Program Generation A., Friedland, G., Elizalde, B., Ni, K., Poland, D., Borth, D., and Li, L.-J
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.441325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f9125a1f-35b7-4ff1-83ea-0b0b3f591949 · outbound
This paper cites Learning the curriculum with bayesian optimization for task-specific word representation learning.
Understanding Complexity in VideoQA via Visual Program Generation Learning the curriculum with bayesian optimization for task-specific word representation learning
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.430869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16537687-d975-4425-be25-714d1e1780e8 · outbound
This paper cites Learning the curriculum with bayesian optimization for task-specific word representation learning.
Understanding Complexity in VideoQA via Visual Program Generation Learning the curriculum with bayesian optimization for task-specific word representation learning
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.419868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d4511928-59ec-49e5-b35c-d7b93c0d0c51 · outbound
This paper cites P., and Ferrari, V.
Understanding Complexity in VideoQA via Visual Program Generation P., and Ferrari, V
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.395810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bb1fa786-6272-40f2-8ba2-23a4e27b8b15 · outbound
This paper cites Neural discrete representation learning.
Understanding Complexity in VideoQA via Visual Program Generation Neural discrete representation learning
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.365097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c1be96e-0b4a-4d08-ac31-3363eb4e34f0 · outbound
This paper cites Tarsier: Recipes for Training and Evaluating Large Video Description Models.
Understanding Complexity in VideoQA via Visual Program Generation Tarsier: Recipes for Training and Evaluating Large Video Description Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:52.797005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d6faa57-5ac2-4c06-9732-2142efba93d2 · outbound
This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.
Understanding Complexity in VideoQA via Visual Program Generation InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:52.824535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3c51b07-1823-4f27-bf79-d91550cafb26 · outbound
This paper cites Language models with image descriptors are strong few-shot video-language learners.
Understanding Complexity in VideoQA via Visual Program Generation Language models with image descriptors are strong few-shot video-language learners
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.251351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 024758c1-057c-4296-af9d-9cd960e4c43e · outbound
This paper cites STC : A simple to complex framework for weakly-supervised semantic segmentation.
Understanding Complexity in VideoQA via Visual Program Generation STC : A simple to complex framework for weakly-supervised semantic segmentation
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.240302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a5aa68f-7ab6-46df-96c9-f8cad68acceb · outbound
This paper cites B., and Gan, C.
Understanding Complexity in VideoQA via Visual Program Generation B., and Gan, C
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.170867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c4c1dfd-2fd1-44bd-bff1-c6f74c7d7b0d · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:54.091843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e52093e4-2b9e-4fb0-ad5c-b5dd892ec27d · outbound
This paper cites Next-QA : Next phase of question-answering to explaining temporal actions.
Understanding Complexity in VideoQA via Visual Program Generation Next-QA : Next phase of question-answering to explaining temporal actions
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.081918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cdf6bca2-8547-46d6-9c05-8ee636428641 · outbound
This paper cites mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
Understanding Complexity in VideoQA via Visual Program Generation mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:52.964977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0303ce46-2eb6-4197-9eed-bb9a81059ffd · outbound
This paper cites W., Salakhutdinov, R., and Manning, C.
Understanding Complexity in VideoQA via Visual Program Generation W., Salakhutdinov, R., and Manning, C
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:54.002089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a2ab9c0-d6f5-4a9e-83a0-62150c5bf623 · outbound
This paper cites Neural-symbolic VQA : Disentangling reasoning from vision and language understanding.
Understanding Complexity in VideoQA via Visual Program Generation Neural-symbolic VQA : Disentangling reasoning from vision and language understanding
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.931880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 40c08bc2-3a66-42bc-b321-6d9ddfb3a8a1 · outbound
This paper cites Self-chained image-language model for video localization and question answering.
Understanding Complexity in VideoQA via Visual Program Generation Self-chained image-language model for video localization and question answering
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.920673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b879339-726b-4b7f-8ee6-5397d7ae8b1b · outbound
This paper cites ANetQA : A large-scale benchmark for fine-grained compositional reasoning over untrimmed videos.
Understanding Complexity in VideoQA via Visual Program Generation ANetQA : A large-scale benchmark for fine-grained compositional reasoning over untrimmed videos
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.740461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 662ab958-dd81-444f-abc3-bf481bfcf122 · outbound
This paper cites S., Cao, J., Farhadi, A., and Choi, Y.
Understanding Complexity in VideoQA via Visual Program Generation S., Cao, J., Farhadi, A., and Choi, Y
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.728692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4902b6f6-d0f6-4c1f-8293-e79c098a773d · outbound
This paper cites Socratic models: Composing zero-shot multimodal reasoning with language.
Understanding Complexity in VideoQA via Visual Program Generation Socratic models: Composing zero-shot multimodal reasoning with language
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.662002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a80565bb-cabc-40ef-b32b-3474db711920 · outbound
This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.
Understanding Complexity in VideoQA via Visual Program Generation LLaVA-Video: Video Instruction Tuning With Synthetic Data
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:18:53.128703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f09dded-6a1b-4309-98b5-1a3fe53b8741 · outbound
This paper cites Where does it exist: Spatio-temporal video grounding for multi-form sentences.
Understanding Complexity in VideoQA via Visual Program Generation Where does it exist: Spatio-temporal video grounding for multi-form sentences
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.493343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd2bf090-c967-4181-93b4-2b902cba8d16 · outbound
This paper cites Video question answering: Datasets, algorithms and challenges.
Understanding Complexity in VideoQA via Visual Program Generation Video question answering: Datasets, algorithms and challenges
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.481138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed530913-ea58-4888-b9e1-a821b2d8c0ef · outbound
This paper cites J., and Rohrbach, M.
Understanding Complexity in VideoQA via Visual Program Generation J., and Rohrbach, M
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:18:53.467634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c21cffe-8e23-465d-901e-3412ac9b505c · outbound
This paper cites an unresolved cited work.
Understanding Complexity in VideoQA via Visual Program Generation Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:18:53.276370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation 8a371f5e-a9cb-4c5e-89fe-76a533985358 · inbound
An Attribute-Based Measure of Video Complexity cites this paper.
An Attribute-Based Measure of Video Complexity Understanding Complexity in VideoQA via Visual Program Generation
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:02:34.107311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4a04b15-1e58-4a35-83c1-cd3e39cf05e4 · inbound
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DAEP: Difficulty-Aware Evidence Planning for Medical Video Corpus Temporal Answer Grounding Understanding Complexity in VideoQA via Visual Program Generation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:32:22.239838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.