Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:12:37.935546Z
Paper Citation Record · LEDGER
A Challenge to Build Neuro-Symbolic Video Agents
As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2505.13851.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T16:07:49.790348Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
71 of 71 outbound references displayed
- verified exact2
- verified fuzzy42
- unresolved27
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9735a573-7a8c-4871-9572-e3aec62cc635 · outbound
This paper cites In 2019 IEEE 58th conference on decision and control (CDC), pages 5338--5343.
A Challenge to Build Neuro-Symbolic Video Agents In 2019 IEEE 58th conference on decision and control (CDC), pages 5338--5343
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.942311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6831c3f7-23a4-4c98-b754-46db89b2556a · outbound
This paper cites Principles of Model Checking.
A Challenge to Build Neuro-Symbolic Video Agents Principles of Model Checking
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.929596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa7957a3-740f-450a-a5d2-5c3cfd51d01f · outbound
This paper cites an unresolved cited work.
A Challenge to Build Neuro-Symbolic Video Agents Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:12:38.916064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 53a35f3f-d6a7-4351-ac3d-15ad2981c3a0 · outbound
This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.
A Challenge to Build Neuro-Symbolic Video Agents Align your latents: High-resolution video synthesis with latent diffusion models
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.903547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bc7292ec-8497-4bd6-8fb1-21fc3a270c1c · outbound
This paper cites Hourvideo: 1-hour video-language understanding.
A Challenge to Build Neuro-Symbolic Video Agents Hourvideo: 1-hour video-language understanding
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.889158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e138589a-bdaa-4835-8546-1350f997621a · outbound
This paper cites Langchain, 2022.
A Challenge to Build Neuro-Symbolic Video Agents Langchain, 2022
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.870148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ff190ce-6749-488c-b5f4-47a00bcbc4f0 · outbound
This paper cites ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.
A Challenge to Build Neuro-Symbolic Video Agents ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.662733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0f2c29c-4a05-499b-90b5-46ffa52a3be2 · outbound
This paper cites Choudhary.
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.856281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7567b5ad-4d7e-4c92-b450-9a7cf46da630 · outbound
This paper cites Sora as an agi world model? a complete survey on text-to-video generation.
A Challenge to Build Neuro-Symbolic Video Agents Sora as an agi world model? a complete survey on text-to-video generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.671159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41cd61bd-5fbe-40b1-86d6-ef7acece1221 · outbound
This paper cites Towards neuro-symbolic video understanding.
A Challenge to Build Neuro-Symbolic Video Agents Towards neuro-symbolic video understanding
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.843209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b92ae639-df77-4e2b-b643-75e8bf5ceb04 · outbound
This paper cites We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback.
A Challenge to Build Neuro-Symbolic Video Agents We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:12:38.209822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e81aebdd-a2e9-4d82-97ae-ecd6cf9e27ee · outbound
This paper cites Real-Time Privacy Preservation for Robot Visual Perception.
A Challenge to Build Neuro-Symbolic Video Agents Real-Time Privacy Preservation for Robot Visual Perception
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.685123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc4d308a-aecf-4269-8762-95f95dcfa416 · outbound
This paper cites Parks research shows consumers are after integrated smart locks and security cameras.
A Challenge to Build Neuro-Symbolic Video Agents Parks research shows consumers are after integrated smart locks and security cameras
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.829994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a497cb8d-e782-4998-ba07-9f13565de877 · outbound
This paper cites Towards interpretable video anomaly detection.
A Challenge to Build Neuro-Symbolic Video Agents Towards interpretable video anomaly detection
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.814856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bc736d57-a10b-4d3f-8286-96d77fc033e0 · outbound
This paper cites Structure and content-guided video synthesis with diffusion models.
A Challenge to Build Neuro-Symbolic Video Agents Structure and content-guided video synthesis with diffusion models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.802099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b4e23337-d344-4b8a-ad19-e4a2875b2b69 · outbound
This paper cites Convolutional two-stream network fusion for video action recognition.
A Challenge to Build Neuro-Symbolic Video Agents Convolutional two-stream network fusion for video action recognition
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.788177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f1ccf334-3cc6-4ed8-8712-5a9590d99c4e · outbound
This paper cites an unresolved cited work.
A Challenge to Build Neuro-Symbolic Video Agents Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:12:38.776491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 60f6e5dd-3ebf-49d7-9ad1-57a97330a47e · outbound
This paper cites Slowfast networks for video recognition.
A Challenge to Build Neuro-Symbolic Video Agents Slowfast networks for video recognition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.763897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6948090a-3e78-45bc-b4ce-68050aead013 · outbound
This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.
A Challenge to Build Neuro-Symbolic Video Agents Ego4d: Around the world in 3,000 hours of egocentric video
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.715130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e33e310-d468-4f3d-9a4f-e9a68882dcd4 · outbound
This paper cites The efficacy of neural planning metrics: A meta-analysis of pkl on nuscenes.
A Challenge to Build Neuro-Symbolic Video Agents The efficacy of neural planning metrics: A meta-analysis of pkl on nuscenes
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.743640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eaafed71-be0e-4534-99f8-7f53631625ac · outbound
This paper cites Stabletoolbench: Towards stable large-scale benchmarking on tool learning of large language models, 2024.
A Challenge to Build Neuro-Symbolic Video Agents Stabletoolbench: Towards stable large-scale benchmarking on tool learning of large language models, 2024
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.722597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1b4c00d-c025-4014-927a-7ba6fb8797a5 · outbound
This paper cites Denoising diffusion probabilistic models.
A Challenge to Build Neuro-Symbolic Video Agents Denoising diffusion probabilistic models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.726478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aabb3fd2-ea12-48ac-a8e0-b8e93c839fd8 · outbound
This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
A Challenge to Build Neuro-Symbolic Video Agents CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.731908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24809207-4feb-476d-ac2f-75e755ac1b33 · outbound
This paper cites Vbench: Comprehensive benchmark suite for video generative models.
A Challenge to Build Neuro-Symbolic Video Agents Vbench: Comprehensive benchmark suite for video generative models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.736434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc2d06c-2170-4dbd-991e-607de1ab895a · outbound
This paper cites Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning.
A Challenge to Build Neuro-Symbolic Video Agents Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.741594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dce12e36-8334-4b06-a80c-f6469c6690be · outbound
This paper cites Safe autonomy under perception uncertainty using chance-constrained temporal logic.
A Challenge to Build Neuro-Symbolic Video Agents Safe autonomy under perception uncertainty using chance-constrained temporal logic
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.710616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 29778a5f-0ac2-4fef-b8a9-12399fdaef42 · outbound
This paper cites Tsaftaris, and Aggelos K.
A Challenge to Build Neuro-Symbolic Video Agents Tsaftaris, and Aggelos K
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.750582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b337289-ff70-4f8c-b2f5-2096e55c4c3b · outbound
This paper cites Temporal-logic-based reactive mission and motion planning.
A Challenge to Build Neuro-Symbolic Video Agents Temporal-logic-based reactive mission and motion planning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.698024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8097b98c-0bf9-4b2a-b7be-5b3080cf7bcf · outbound
This paper cites A neural-symbolic approach to computer vision.
A Challenge to Build Neuro-Symbolic Video Agents A neural-symbolic approach to computer vision
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.686308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bed02405-314a-4689-b528-ff84e779a6d9 · outbound
This paper cites Pika ai: Free video generator with scene ingredients, 2024.
A Challenge to Build Neuro-Symbolic Video Agents Pika ai: Free video generator with scene ingredients, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.674115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 738b471e-f590-44a0-90d8-0a6cb0d28167 · outbound
This paper cites Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network.
A Challenge to Build Neuro-Symbolic Video Agents Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.661618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2335cd9b-cab6-4e81-86b0-eae069542e70 · outbound
This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.
A Challenge to Build Neuro-Symbolic Video Agents Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.770125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a59c1b95-db6d-49fd-b702-dba9feb0bc97 · outbound
This paper cites Representation learning on visual-symbolic graphs for video understanding.
A Challenge to Build Neuro-Symbolic Video Agents Representation learning on visual-symbolic graphs for video understanding
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.650212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3423089d-d6fc-48d0-a420-25ebbf955fa8 · outbound
This paper cites Medioni, Isaac Cohen, Fran c ois Br \' e mond, Somboon Hongeng, and Ramakant Nevatia.
A Challenge to Build Neuro-Symbolic Video Agents Medioni, Isaac Cohen, Fran c ois Br \' e mond, Somboon Hongeng, and Ramakant Nevatia
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.637374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0bf424f4-1809-4da7-b4f2-bfce4cccd102 · outbound
This paper cites Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challenges.
A Challenge to Build Neuro-Symbolic Video Agents Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challenges
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.623587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4f7d6e52-cc40-4282-be7b-4d799373607b · outbound
This paper cites 8 must-follow social listening trends for 2025, January 2025.
A Challenge to Build Neuro-Symbolic Video Agents 8 must-follow social listening trends for 2025, January 2025
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.610632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8d32f684-f89d-43a9-ac55-5f4ff25a60f7 · outbound
This paper cites Learning audio-video modalities from image captions.
A Challenge to Build Neuro-Symbolic Video Agents Learning audio-video modalities from image captions
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.597969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 00895aae-9a46-4c63-bb57-0e619cff48cf · outbound
This paper cites Federal motor vehicle safety standards; automatic emergency braking systems for light vehicles.
A Challenge to Build Neuro-Symbolic Video Agents Federal motor vehicle safety standards; automatic emergency braking systems for light vehicles
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.582430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 12bb363c-e1fd-4cde-997f-bebe1db94f8e · outbound
This paper cites GPT-4 Technical Report.
A Challenge to Build Neuro-Symbolic Video Agents GPT-4 Technical Report
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.797834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cda27a41-ce49-4ecb-bfe6-5a9dd190e11f · outbound
This paper cites Video generation models as world simulators, 2024.
A Challenge to Build Neuro-Symbolic Video Agents Video generation models as world simulators, 2024
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.568461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e63a228-7da0-4400-b57e-6d8210ccbae3 · outbound
This paper cites Gorilla: Large Language Model Connected with Massive APIs.
A Challenge to Build Neuro-Symbolic Video Agents Gorilla: Large Language Model Connected with Massive APIs
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.806971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 733bf8e6-fa5a-423a-a37e-8a52d352a409 · outbound
This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023.
A Challenge to Build Neuro-Symbolic Video Agents Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.811659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59ab042d-7e39-4940-ae2b-4dbc2a09597a · outbound
This paper cites Rapidapi hub.
A Challenge to Build Neuro-Symbolic Video Agents Rapidapi hub
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.546900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 15021405-cc0f-485b-805f-2e4339d76eff · outbound
This paper cites Introducing gen-3 alpha: A new frontier for video generation, 2024.
A Challenge to Build Neuro-Symbolic Video Agents Introducing gen-3 alpha: A new frontier for video generation, 2024
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.534683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9581fbea-01b9-458a-ad3e-b2384b5c4265 · outbound
This paper cites Early detection of combustion instability by neural-symbolic analysis on hi-speed video.
A Challenge to Build Neuro-Symbolic Video Agents Early detection of combustion instability by neural-symbolic analysis on hi-speed video
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.522525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 03be9951-6b02-4ba4-b82c-30f37c80e96b · outbound
This paper cites Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification.
A Challenge to Build Neuro-Symbolic Video Agents Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:12:38.101767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d91204f2-d990-4edd-816d-cc5a803fe063 · outbound
This paper cites Linear temporal logic motion planning for teams of underactuated robots using satisfiability modulo convex programming.
A Challenge to Build Neuro-Symbolic Video Agents Linear temporal logic motion planning for teams of underactuated robots using satisfiability modulo convex programming
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.509704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4f4b3b50-f84e-40d4-a588-6f95915a78aa · outbound
This paper cites Shultz and Richard D.
A Challenge to Build Neuro-Symbolic Video Agents Shultz and Richard D
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.497389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e423d689-7017-4bce-a6ee-1baa6651bd2a · outbound
This paper cites VideoAgent: Self-Improving Video Generation.
A Challenge to Build Neuro-Symbolic Video Agents VideoAgent: Self-Improving Video Generation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.838575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 112858a6-bb3b-4076-8e75-be239a51a244 · outbound
This paper cites Scalability in perception for autonomous driving: Waymo open dataset.
A Challenge to Build Neuro-Symbolic Video Agents Scalability in perception for autonomous driving: Waymo open dataset
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.485727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 358a5ee7-c886-4bf2-a34c-7676c203f0ba · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
A Challenge to Build Neuro-Symbolic Video Agents Gemini: A Family of Highly Capable Multimodal Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.847534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 907d582c-7805-4444-8023-bc218adb79cd · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
A Challenge to Build Neuro-Symbolic Video Agents Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.851578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d9b4d22-5926-4e9f-9397-a2d0c1a00ac1 · outbound
This paper cites Video classification with channel-separated convolutional networks.
A Challenge to Build Neuro-Symbolic Video Agents Video classification with channel-separated convolutional networks
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.473731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cb95453b-dea5-4942-b1d3-40dfeabc63af · outbound
This paper cites Twilio: Cloud communications platform, 2025.
A Challenge to Build Neuro-Symbolic Video Agents Twilio: Cloud communications platform, 2025
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.460428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3e8ddd96-625e-4479-9c75-e9d041c65650 · outbound
This paper cites Phenaki: Variable Length Video Generation From Open Domain Textual Description.
A Challenge to Build Neuro-Symbolic Video Agents Phenaki: Variable Length Video Generation From Open Domain Textual Description
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.863553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 514fada2-65fe-4e86-934b-60dffde979c4 · outbound
This paper cites Lave: Llm-powered agent assistance and language augmentation for video editing.
A Challenge to Build Neuro-Symbolic Video Agents Lave: Llm-powered agent assistance and language augmentation for video editing
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.447832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5fffafe-c83f-4919-ad93-5698cd2fc9b0 · outbound
This paper cites Videoagent: Long-form video understanding with large language model as agent.
A Challenge to Build Neuro-Symbolic Video Agents Videoagent: Long-form video understanding with large language model as agent
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.434916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a314f256-c948-471a-81b8-34c797c3002d · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
A Challenge to Build Neuro-Symbolic Video Agents InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.876207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dd12723-69b4-407d-8032-fcf61d90973d · outbound
This paper cites Discovqa: Temporal distortion-content transformers for video quality assessment.
A Challenge to Build Neuro-Symbolic Video Agents Discovqa: Temporal distortion-content transformers for video quality assessment
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.421781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f1711f3a-f577-461d-853a-92bae6e38ed1 · outbound
This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.
A Challenge to Build Neuro-Symbolic Video Agents Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.408757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 94821730-d236-48d2-b876-4f1f0e4b04b3 · outbound
This paper cites A graph-based framework to bridge movies and synopses.
A Challenge to Build Neuro-Symbolic Video Agents A graph-based framework to bridge movies and synopses
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.392378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f6951e0d-5ee5-407f-b184-b3c3ac23eb14 · outbound
This paper cites Msr-vtt: A large video description dataset for bridging video and language.
A Challenge to Build Neuro-Symbolic Video Agents Msr-vtt: A large video description dataset for bridging video and language
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.899906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aac87d70-054d-4842-839b-9054d1c40561 · outbound
This paper cites Hauptmann.
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.370660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 75b9bfce-61d0-4dde-86ec-cac5cf08f154 · outbound
This paper cites Specification-Driven Video Search via Foundation Models and Formal Verification.
A Challenge to Build Neuro-Symbolic Video Agents Specification-Driven Video Search via Foundation Models and Formal Verification
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.907486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 606c09b5-9861-4122-9d55-163c5dfabbf2 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
A Challenge to Build Neuro-Symbolic Video Agents CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.911855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee854281-90a0-4b39-964b-60e5e8eef2b3 · outbound
This paper cites React: Synergizing reasoning and acting in language models.
A Challenge to Build Neuro-Symbolic Video Agents React: Synergizing reasoning and acting in language models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.916529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e208524f-70b6-4513-b00a-b63f287e9a97 · outbound
This paper cites Neural-symbolic VQA: disentangling reasoning from vision and language understanding.
A Challenge to Build Neuro-Symbolic Video Agents Neural-symbolic VQA: disentangling reasoning from vision and language understanding
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.347806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30c2dae2-e768-49f9-87b2-c7c9314d5eab · outbound
This paper cites A probabilistic graphical model based on neural-symbolic reasoning for visual relationship detection.
A Challenge to Build Neuro-Symbolic Video Agents A probabilistic graphical model based on neural-symbolic reasoning for visual relationship detection
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.334377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ee7345f8-4105-46e6-a41e-11b703efe8b8 · outbound
This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
A Challenge to Build Neuro-Symbolic Video Agents Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.928130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 787a5d85-77ac-482f-b443-ed0e42b9169a · outbound
This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
A Challenge to Build Neuro-Symbolic Video Agents I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:12:37.931752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 276b431e-0376-4591-973d-015d548758e9 · outbound
This paper cites Abnormal event detection by a weakly supervised temporal attention network.
A Challenge to Build Neuro-Symbolic Video Agents Abnormal event detection by a weakly supervised temporal attention network
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:12:38.321696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
Observation 867abc38-38c6-4c4c-9dcd-95d244eecd0f · inbound
Incentivizing Vision Language Models to Search for Long Video Question Answering cites this paper.
Incentivizing Vision Language Models to Search for Long Video Question Answering A Challenge to Build Neuro-Symbolic Video Agents
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:50:16.895740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6c0e8fb-65bf-418e-bb05-2d0f6145cbbc · inbound
SGA: Plug&Play Geometric Verification for Educational Video Synthesis cites this paper.
SGA: Plug&Play Geometric Verification for Educational Video Synthesis A Challenge to Build Neuro-Symbolic Video Agents
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:07:49.790348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.