Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T02:16:45.554252Z
Paper Citation Record · LEDGER
Video models are zero-shot learners and reasoners
As of 4 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 100 inbound Pith citation observations for arXiv:2509.20328.
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 2026-08-04T08:20:10.044650Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T12:15:01.137692Z
Reference resolution
98 of 98 outbound references displayed
- verified exact34
- verified fuzzy55
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch6
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bef73ba4-bf2d-41db-8f33-085b65e67f4f · outbound
This paper cites A Survey on Large Language Models for Code Generation.
Video models are zero-shot learners and reasoners A Survey on Large Language Models for Code Generation
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.828955Z
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 4f41cd84-640e-4566-b877-8b0cad30b2a1 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
Video models are zero-shot learners and reasoners Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.630561Z
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 70f7216d-28ca-4688-ad18-9e2d03da39b4 · outbound
This paper cites Weaver: Foundation Models for Creative Writing.
Video models are zero-shot learners and reasoners Weaver: Foundation Models for Creative Writing
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.686151Z
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 33061bc7-b30a-4fc4-bdee-440561bd778b · outbound
This paper cites Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.
Video models are zero-shot learners and reasoners Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.707178Z
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 1f8e1a78-c68f-4e95-adc5-ac257f4defc3 · outbound
This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.
Video models are zero-shot learners and reasoners The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.758015Z
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 1e4b0727-f9e6-4e01-ace3-8b1d8e75b720 · outbound
This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.
Video models are zero-shot learners and reasoners Agent Laboratory: Using LLM Agents as Research Assistants
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:05:19.002260Z
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 f01a4d9f-b346-4837-a3ad-f958976b4d7e · outbound
This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.
Video models are zero-shot learners and reasoners Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.945383Z
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 348889bd-e45a-4be7-be25-ee6416d71be5 · outbound
This paper cites Emergent Abilities of Large Language Models.
Video models are zero-shot learners and reasoners Emergent Abilities of Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.636483Z
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 ef3203b8-916f-402c-b6dd-615aa45ae9b8 · outbound
This paper cites A Survey on In-context Learning.
Video models are zero-shot learners and reasoners A Survey on In-context Learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.660933Z
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 a12b7684-345e-4894-930a-8cb96a6a7e17 · outbound
This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35: 22199–22213.
Video models are zero-shot learners and reasoners Large language models are zero-shot reasoners.Advances in neural information processing systems, 35: 22199–22213
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.949791Z
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 07e10f6a-0a33-436b-8da5-831d03b9d893 · outbound
This paper cites Segment anything.
Video models are zero-shot learners and reasoners Segment anything
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.953874Z
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 31b2fcc2-bc71-4d27-a17d-8578eacd7d05 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Video models are zero-shot learners and reasoners SAM 2: Segment Anything in Images and Videos
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.736064Z
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 6e7e27cb-928d-4b5a-a0ac-b0f675908781 · outbound
This paper cites You only look once: Unified, real-time object detection.
Video models are zero-shot learners and reasoners You only look once: Unified, real-time object detection
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.957495Z
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 599fb6f1-94b3-435c-aaf5-cf4dcb48c2cc · outbound
This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.
Video models are zero-shot learners and reasoners YOLOv11: An Overview of the Key Architectural Enhancements
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.782899Z
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 88ce5459-4164-4a44-985c-3275a995d336 · outbound
This paper cites From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models.
Video models are zero-shot learners and reasoners From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.793856Z
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 6db6f449-ee4c-4925-96a1-26781f0063bc · outbound
This paper cites Taskonomy: Disentangling task transfer learning.
Video models are zero-shot learners and reasoners Taskonomy: Disentangling task transfer learning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.961504Z
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 cb05e227-021d-4edc-b7b1-623258346c5a · outbound
This paper cites RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models.
Video models are zero-shot learners and reasoners RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.816914Z
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 296b9fa4-276c-4e55-9db6-add78bb5826a · outbound
This paper cites Visualcloze: A universal image generation framework via visual in-context learning.
Video models are zero-shot learners and reasoners Visualcloze: A universal image generation framework via visual in-context learning
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.824763Z
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 ae17744b-1166-4a7c-b573-310a46abdc7b · outbound
This paper cites Images speak in images: A generalist painter for in-context visual learning.
Video models are zero-shot learners and reasoners Images speak in images: A generalist painter for in-context visual learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.965080Z
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 02ae06f0-e66e-4bea-9b6e-cb5f3c7669ab · outbound
This paper cites Test- time visual in-context tuning.
Video models are zero-shot learners and reasoners Test- time visual in-context tuning
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.968994Z
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 e9fd3736-1373-466c-bc23-fbf9e0aba84c · outbound
This paper cites PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions.
Video models are zero-shot learners and reasoners PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.643098Z
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 b3e254ba-791e-47a7-9ea8-d5cb42603a52 · outbound
This paper cites Omnigen: Unified image generation.
Video models are zero-shot learners and reasoners Omnigen: Unified image generation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.972880Z
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 c66a504e-7a54-40b2-9460-8134ed831263 · outbound
This paper cites One diffusion to generate them all.
Video models are zero-shot learners and reasoners One diffusion to generate them all
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.976845Z
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 cc555498-692d-46d6-8300-b1e47755234d · outbound
This paper cites Dreamix: Video Diffusion Models are General Video Editors.
Video models are zero-shot learners and reasoners Dreamix: Video Diffusion Models are General Video Editors
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.692914Z
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 c4cebdcd-5d64-4fac-b9bd-0e9abc855778 · outbound
This paper cites Scalingproperties of diffusion models for perceptual tasks.
Video models are zero-shot learners and reasoners Scalingproperties of diffusion models for perceptual tasks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.980114Z
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 4a4b10f8-090a-45da-8050-70aa98552be8 · outbound
This paper cites Video as the New Language for Real-World Decision Making.
Video models are zero-shot learners and reasoners Video as the New Language for Real-World Decision Making
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.722401Z
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 b033b0c7-d2a0-4392-960a-97a413181f01 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837.
Video models are zero-shot learners and reasoners Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.984159Z
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 4edf34c7-13a5-44d1-8391-472090970482 · outbound
This paper cites Large language models are human-level prompt engineers.
Video models are zero-shot learners and reasoners Large language models are human-level prompt engineers
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.996125Z
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 56fcc7f1-f44a-42d9-93c1-8b4f9da2b148 · outbound
This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.ACM computing surveys, 55(9):1–35.
Video models are zero-shot learners and reasoners Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.ACM computing surveys, 55(9):1–35
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.001183Z
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 abbdbd02-e4b8-4427-b500-ab4bafa21be2 · outbound
This paper cites Vertex AI Veo Prompt Rewriter.https://cloud.google.com/vertex-ai/ generative-ai/docs/video/turn-the-prompt-rewriter-off#prompt-rewriter.
Video models are zero-shot learners and reasoners Vertex AI Veo Prompt Rewriter.https://cloud.google.com/vertex-ai/ generative-ai/docs/video/turn-the-prompt-rewriter-off#prompt-rewriter
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.005034Z
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 d24e5fc7-f1b8-4028-9193-a70fe8262488 · outbound
This paper cites an unresolved cited work.
Video models are zero-shot learners and reasoners Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:16:46.008932Z
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 28ab6dec-88e1-475e-8054-73ef29444676 · outbound
This paper cites Lmsys org text-to-video leaderboard.https://lmarena.ai/leaderboard/t ext-to-video, September 2025.
Video models are zero-shot learners and reasoners Lmsys org text-to-video leaderboard.https://lmarena.ai/leaderboard/t ext-to-video, September 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.013734Z
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 8376f9d4-3c43-4aba-a2c3-94e1c960dc6d · outbound
This paper cites Veo 2 announcement.https://blog.google/technology/google-labs/vide o-image-generation-update-december-2024/.
Video models are zero-shot learners and reasoners Veo 2 announcement.https://blog.google/technology/google-labs/vide o-image-generation-update-december-2024/
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.016928Z
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 909cac90-fa50-496e-b8b9-e400b1cc3e07 · outbound
This paper cites Veo 2 launch.https://developers.googleblog.com/en/veo-2-video-gen eration-now-generally-available/.
Video models are zero-shot learners and reasoners Veo 2 launch.https://developers.googleblog.com/en/veo-2-video-gen eration-now-generally-available/
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.020541Z
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 6954cf1d-45d1-4eeb-ae65-5546e6d0dbe1 · outbound
This paper cites Veo 3 announcement.https://blog.google/technology/ai/generative-m edia-models-io-2025/.
Video models are zero-shot learners and reasoners Veo 3 announcement.https://blog.google/technology/ai/generative-m edia-models-io-2025/
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.024333Z
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 ae0d721a-5a0d-48e1-b0cd-12dad6264034 · outbound
This paper cites Veo 3 launch.
Video models are zero-shot learners and reasoners Veo 3 launch
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.028191Z
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 83e868e0-cbe2-4cd9-9898-a5030c80e7c3 · outbound
This paper cites Holistically-nested edge detection.
Video models are zero-shot learners and reasoners Holistically-nested edge detection
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.031839Z
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 662da419-d5dc-44b8-90e1-60a2fc0f1461 · outbound
This paper cites IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.
Video models are zero-shot learners and reasoners IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:45.673040Z
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 71f277fe-c5d9-4842-a170-1f6c587c8070 · outbound
This paper cites Bear, Elias Wang, Damian Mrowca, Felix J.
Video models are zero-shot learners and reasoners Bear, Elias Wang, Damian Mrowca, Felix J
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.035489Z
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 6f0f6882-7402-49be-a0c9-578581e2ce98 · outbound
This paper cites Benchmarking progress to infant-level physical reasoning in ai.
Video models are zero-shot learners and reasoners Benchmarking progress to infant-level physical reasoning in ai
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.039510Z
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 e67d384f-5157-445e-8efd-cab7b1cd49a2 · outbound
This paper cites GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models.
Video models are zero-shot learners and reasoners GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:45.697614Z
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 88cbd2c3-72a9-4dc1-b803-bc9136d59245 · outbound
This paper cites Physion++: Evaluating physical scene understanding that requires online inference of different physical properties.Advances in Neural Information Processing Systems, 36.
Video models are zero-shot learners and reasoners Physion++: Evaluating physical scene understanding that requires online inference of different physical properties.Advances in Neural Information Processing Systems, 36
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.043452Z
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 d4da3c3e-8496-43bd-8189-9107dfec051c · outbound
This paper cites Videophy: Evaluating physical commonsense for video generation.
Video models are zero-shot learners and reasoners Videophy: Evaluating physical commonsense for video generation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.047617Z
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 0bb14a58-a96f-4d6b-b8f7-35fef17abfa4 · outbound
This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.
Video models are zero-shot learners and reasoners LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.732601Z
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 67e73ec4-8a3f-4025-a1c0-ba330521b86e · outbound
This paper cites Towards world simulator: Crafting physical commonsense- based benchmark for video generation.
Video models are zero-shot learners and reasoners Towards world simulator: Crafting physical commonsense- based benchmark for video generation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.051461Z
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 b46f4546-d677-490e-88a4-123891b1c737 · outbound
This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.
Video models are zero-shot learners and reasoners How Far is Video Generation from World Model: A Physical Law Perspective
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:13:41.491170Z
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 11174655-76a8-4901-8b29-a845e33e090a · outbound
This paper cites Do generative video models understand physical principles?.
Video models are zero-shot learners and reasoners Do generative video models understand physical principles?
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:47:06.031259Z
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 658d0d9f-56e1-443c-aea4-d5a136be12ee · outbound
This paper cites Generative Physical AI in Vision: A Survey.
Video models are zero-shot learners and reasoners Generative Physical AI in Vision: A Survey
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.752438Z
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 cd3b184b-2f2c-4dc2-b44e-bb5f7f648a13 · outbound
This paper cites Visual cognition in multimodal large language models.Nature Machine Intelligence, pages 1–11.
Video models are zero-shot learners and reasoners Visual cognition in multimodal large language models.Nature Machine Intelligence, pages 1–11
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.055526Z
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 f958c9a8-4a82-449e-bf1f-b2406c8a9c42 · outbound
This paper cites Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems.
Video models are zero-shot learners and reasoners Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T03:17:04.940243Z
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 69a5a721-c0c7-4f28-9e95-6fb80f7ebe5c · outbound
This paper cites Intuitive physics understanding emerges from self-supervised pretraining on natural videos.
Video models are zero-shot learners and reasoners Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.772679Z
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 92c33d57-4426-4dd7-aaa5-6de33846f577 · outbound
This paper cites Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting.
Video models are zero-shot learners and reasoners Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.778635Z
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 c478925f-bc14-4f6d-8c21-88a2922abdb7 · outbound
This paper cites Human-level concept learning through probabilistic program induction.Science, 350(6266):1332–1338.
Video models are zero-shot learners and reasoners Human-level concept learning through probabilistic program induction.Science, 350(6266):1332–1338
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.059600Z
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 96208e04-2720-4f38-9ca4-5006ef5ab42c · outbound
This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
Video models are zero-shot learners and reasoners V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.787940Z
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 04c05d67-43d5-4323-94cd-b5b60de22f9b · outbound
This paper cites Nano Banana: Gemini Image Generation Overview.https://gemini.google/ov erview/image-generation/.
Video models are zero-shot learners and reasoners Nano Banana: Gemini Image Generation Overview.https://gemini.google/ov erview/image-generation/
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.065188Z
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 819c2c9b-35fe-4b93-ba1e-7ad3611949f1 · outbound
This paper cites Text-to-image diffusion models are zero shot classifiers.Advances in Neural Information Processing Systems, 36:58921–58937.
Video models are zero-shot learners and reasoners Text-to-image diffusion models are zero shot classifiers.Advances in Neural Information Processing Systems, 36:58921–58937
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.068567Z
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 cc1b3590-b6be-4fa7-9507-ff61347bde4f · outbound
This paper cites Intriguing properties of generative classifiers.
Video models are zero-shot learners and reasoners Intriguing properties of generative classifiers
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.072441Z
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 d0b8f05f-29c6-4fde-828f-30cdf38962e9 · outbound
This paper cites Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors.
Video models are zero-shot learners and reasoners Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:45.821415Z
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 c52699cf-9069-4241-a370-53baac5fbf99 · outbound
This paper cites Text2video-zero: Text-to-image diffusion models are zero-shot video generators.
Video models are zero-shot learners and reasoners Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.075862Z
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 5d6a7d5a-7fb4-475c-a741-d2b810d252b4 · outbound
This paper cites Dense extreme inception network: Towards a robust CNN model for edge detection.
Video models are zero-shot learners and reasoners Dense extreme inception network: Towards a robust CNN model for edge detection
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.080483Z
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 3048c93f-6aae-4f61-b8df-6a717a2cf6b6 · outbound
This paper cites Dense extreme inception network for edge detection.Pattern Recognition, 139:109461.
Video models are zero-shot learners and reasoners Dense extreme inception network for edge detection.Pattern Recognition, 139:109461
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.624252Z
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 66e36985-accc-4d25-b3eb-a604f46f84a8 · outbound
This paper cites LVIS: A dataset for large vocabulary instance segmentation.
Video models are zero-shot learners and reasoners LVIS: A dataset for large vocabulary instance segmentation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.084493Z
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 90b5de49-3b14-4f96-be59-40327be201fc · outbound
This paper cites Emu edit: Precise image editing via recognition and generation tasks.
Video models are zero-shot learners and reasoners Emu edit: Precise image editing via recognition and generation tasks
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.088704Z
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 85e9d970-c35b-4f80-8a49-45453bb18c8a · outbound
This paper cites Diffusion Model-Based Video Editing: A Survey.
Video models are zero-shot learners and reasoners Diffusion Model-Based Video Editing: A Survey
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.649401Z
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 e1cbb1d1-877c-44da-8271-f7955efe7489 · outbound
This paper cites VEGGIE: instructional editing and reasoning video concepts with grounded generation.
Video models are zero-shot learners and reasoners VEGGIE: instructional editing and reasoning video concepts with grounded generation
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.655323Z
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 7d99fe5e-b18c-43bb-a476-59b7987e8e6a · outbound
This paper cites Pathways on the image manifold: Image editing via video generation.
Video models are zero-shot learners and reasoners Pathways on the image manifold: Image editing via video generation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.092664Z
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 562bad6e-290e-434a-bb7f-6e19ffefdb60 · outbound
This paper cites Kiva: Kid-inspired visual analogies for testing large multimodal models.
Video models are zero-shot learners and reasoners Kiva: Kid-inspired visual analogies for testing large multimodal models
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.667062Z
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 82df084a-7573-43b6-8f1a-caa524c8f283 · outbound
This paper cites ImageNet classification with deep convolutional neural networks.Advances in neural information processing systems, 25.
Video models are zero-shot learners and reasoners ImageNet classification with deep convolutional neural networks.Advances in neural information processing systems, 25
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.096756Z
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 e5ac8b7b-b2a7-462c-b506-d6c6c3b849da · outbound
This paper cites The broader spectrum of in-context learning.
Video models are zero-shot learners and reasoners The broader spectrum of in-context learning
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:45.679766Z
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 19f0b701-2afd-4426-896c-e7054f8baa9e · outbound
This paper cites Performance vs.
Video models are zero-shot learners and reasoners Performance vs
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.100499Z
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 32f7ea35-5384-41ba-9d67-137c080d06f2 · outbound
This paper cites Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673.
Video models are zero-shot learners and reasoners Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:46.104113Z
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 7b0824cf-c67a-4100-95d4-2fb9af23cecd · outbound
This paper cites LLM inference prices have fallen rapidly but unequally across tasks, march 2025.
Video models are zero-shot learners and reasoners LLM inference prices have fallen rapidly but unequally across tasks, march 2025
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.832087Z
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 df72a32f-a177-4c83-8b72-91c9b6d470e8 · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Video models are zero-shot learners and reasoners Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.702329Z
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 e8623ba1-15bd-4c91-b129-e55e413cfbd1 · outbound
This paper cites Self-refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems, 36:46534–46594.
Video models are zero-shot learners and reasoners Self-refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems, 36:46534–46594
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.835856Z
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 5bd3cd9d-904f-446a-a968-c1c1e5f1c99e · outbound
This paper cites OpenAI o1 System Card.
Video models are zero-shot learners and reasoners OpenAI o1 System Card
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.711478Z
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 c3da3f50-69ff-463b-9fb1-17618de2aa3e · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Video models are zero-shot learners and reasoners Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.716616Z
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 8c1e15e0-3515-4b12-9dc9-f0a7d598cb99 · outbound
This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35: 27730–27744.
Video models are zero-shot learners and reasoners Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35: 27730–27744
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.838946Z
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 f1b08678-78a0-49f1-b3c5-0af7bc882d9c · outbound
This paper cites Instruction Tuning with GPT-4.
Video models are zero-shot learners and reasoners Instruction Tuning with GPT-4
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:04:18.193148Z
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 2490a2bf-1199-4680-b469-ec23e4abd2c4 · outbound
This paper cites Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE Transactions on Image Processing, 30:2072–2086.
Video models are zero-shot learners and reasoners Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE Transactions on Image Processing, 30:2072–2086
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.842507Z
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 129d23ba-5da9-4787-a816-bca8f930feac · outbound
This paper cites Under- standing the limits of vision language models through the lens of the binding problem.Advances in Neural Information Processing Systems, 37:113436–113460.
Video models are zero-shot learners and reasoners Under- standing the limits of vision language models through the lens of the binding problem.Advances in Neural Information Processing Systems, 37:113436–113460
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.846108Z
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 57826310-2a63-4706-a644-d42444dbfa92 · outbound
This paper cites an unresolved cited work.
Video models are zero-shot learners and reasoners Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:16:45.849438Z
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 b6c999c7-920d-4a66-8efc-081d7d7e94b2 · outbound
This paper cites The intelligent eye.
Video models are zero-shot learners and reasoners The intelligent eye
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.852676Z
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 9c7b4fd0-bcc6-4d1c-b8be-2081d169ced8 · outbound
This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Video models are zero-shot learners and reasoners ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.856289Z
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 e2ea640d-bf28-41bb-a0b7-198814fce6af · outbound
This paper cites Objaverse-xl: A universe of 10m+ 3d objects.Advances in Neural Information Processing Systems, 36:35799–35813.
Video models are zero-shot learners and reasoners Objaverse-xl: A universe of 10m+ 3d objects.Advances in Neural Information Processing Systems, 36:35799–35813
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.860867Z
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 3540fdfa-a7d1-4c1c-8c83-db344f8fa203 · outbound
This paper cites On the Measure of Intelligence.
Video models are zero-shot learners and reasoners On the Measure of Intelligence
Reference 85
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:16:45.762658Z
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 0117641c-90ad-48ed-9529-5ca00c388108 · outbound
This paper cites Lawrence Zitnick.
Video models are zero-shot learners and reasoners Lawrence Zitnick
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.866068Z
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 9dee6f10-07ab-47ed-90d3-c01d8328272c · outbound
This paper cites Lawrence Zitnick.
Video models are zero-shot learners and reasoners Lawrence Zitnick
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.870013Z
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 b2f09b07-9408-4916-9701-b83fc85fe857 · outbound
This paper cites Lawrence Zitnick and Piotr Dollár.
Video models are zero-shot learners and reasoners Lawrence Zitnick and Piotr Dollár
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.873460Z
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 22148205-b5f1-43a3-98d7-96f2b2b93fc6 · outbound
This paper cites Superedge: Towards a generalization model for self-supervised edge detection.CoRR.
Video models are zero-shot learners and reasoners Superedge: Towards a generalization model for self-supervised edge detection.CoRR
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.877117Z
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 a2962c2f-0e77-42b3-aef7-fcbac00a5771 · outbound
This paper cites Maze dataset.https://pypi.org/project/maze-dataset/0.3.4/.
Video models are zero-shot learners and reasoners Maze dataset.https://pypi.org/project/maze-dataset/0.3.4/
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.880750Z
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 ab715fa7-ffc0-4b98-b2c7-296648a4e7e3 · outbound
This paper cites 15 Video models are zero-shot learners and reasoners.
Video models are zero-shot learners and reasoners 15 Video models are zero-shot learners and reasoners
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.884397Z
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 a2c54ea0-4e4c-4a4d-b816-275a92d5c5d2 · outbound
This paper cites Diffusion classifiers understand compositionality, but conditions apply.arXiv preprint arXiv:2505.17955, 2.
Video models are zero-shot learners and reasoners Diffusion classifiers understand compositionality, but conditions apply.arXiv preprint arXiv:2505.17955, 2
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.799062Z
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 cddfd6bc-0e33-40b3-91b4-c2c9ba743516 · outbound
This paper cites Force prompting: Video generation models can learn and gen- eralize physics-based control signals.
Video models are zero-shot learners and reasoners Force prompting: Video generation models can learn and gen- eralize physics-based control signals
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.804128Z
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 f114cad5-3a23-437f-b7fc-9982b8b31f6e · outbound
This paper cites Motion Prompting: Controlling Video Generation with Motion Trajectories.
Video models are zero-shot learners and reasoners Motion Prompting: Controlling Video Generation with Motion Trajectories
Reference 94
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:45.808266Z
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 7856f664-b4a5-4927-b09e-3cfdc3488dd3 · outbound
This paper cites target image.
Video models are zero-shot learners and reasoners target image
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.888735Z
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 7ba182f8-0dc4-48e4-af9f-9607b4e24084 · outbound
This paper cites Focus on the object {color}.
Video models are zero-shot learners and reasoners Focus on the object {color}
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.892324Z
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 b8e22924-356d-4135-82a2-70431328e59a · outbound
This paper cites For example, if the target image shows a dog, and the choices show a cat, the object types are considered different.
Video models are zero-shot learners and reasoners For example, if the target image shows a dog, and the choices show a cat, the object types are considered different
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:16:45.896481Z
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 70fc672a-27aa-4c97-86d8-861cd9af2f00 · outbound
This paper cites Final Answer: [answer].
Video models are zero-shot learners and reasoners Final Answer: [answer]
Reference 98
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-14T02:16:45.911481Z
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 00d0a81b-6dc7-4915-9968-81d4395ce2ad · inbound
Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging? cites this paper.
Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging? Video models are zero-shot learners and reasoners
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T07:26:02.994509Z
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 5deacf6f-7f5c-4b23-8a73-47a005454c83 · inbound
Epipolar Geometry Improves Video Generation Models cites this paper.
Epipolar Geometry Improves Video Generation Models Video models are zero-shot learners and reasoners
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9980435e-eb6a-4904-aba3-28082a0df574 · inbound
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm cites this paper.
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm Video models are zero-shot learners and reasoners
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T00:55:35.077440Z
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 6e03a2a8-bdb5-47e1-b374-98b9b0fffd5d · inbound
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? cites this paper.
Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? Video models are zero-shot learners and reasoners
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:02:04.211945Z
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 bb196b9e-e861-4f40-abcd-3af5ff1f6414 · inbound
PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding cites this paper.
PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding Video models are zero-shot learners and reasoners
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:16:13.958140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a76490f6-51a5-4fbc-a34f-6206a431792d · inbound
Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos cites this paper.
Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Video models are zero-shot learners and reasoners
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:11:52.916096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aeee703-2ac3-4b4b-beac-aedc66bd6505 · inbound
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation cites this paper.
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Video models are zero-shot learners and reasoners
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T18:17:55.050614Z
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 297246b8-0278-49a7-862c-6a00eee4c807 · inbound
VideoCoF: Unified Video Editing with Temporal Reasoner cites this paper.
VideoCoF: Unified Video Editing with Temporal Reasoner Video models are zero-shot learners and reasoners
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:08:43.190117Z
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 ebe77d37-8928-48fa-8bc9-0858cb0472b3 · inbound
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling cites this paper.
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling Video models are zero-shot learners and reasoners
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:29:56.460133Z
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 c9dc0b19-4e8f-4c0e-a3cb-92c671ce8b7e · inbound
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling cites this paper.
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling Video models are zero-shot learners and reasoners
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:11:17.633640Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e49a4b71-0c03-4438-a892-7a4551b8a785 · inbound
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs cites this paper.
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs Video models are zero-shot learners and reasoners
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T10:41:00.243691Z
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 f80e95d7-ac90-4e57-ba48-0adcc831f0e5 · inbound
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Video models are zero-shot learners and reasoners
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:46:12.576413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c56be35-e66c-4d41-bbbf-538729048392 · inbound
Kling-Omni Technical Report cites this paper.
Kling-Omni Technical Report Video models are zero-shot learners and reasoners
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:00:58.607229Z
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 eb08817f-69c5-4bf1-a53c-249ee7977af4 · inbound
DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.
DriveLaW:Unifying Planning and Video Generation in a Latent Driving World Video models are zero-shot learners and reasoners
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T19:38:21.076677Z
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 c412de83-6508-4305-90d1-588dfac72819 · inbound
Rewriting Video: Text-Driven Reauthoring of Video Footage cites this paper.
Rewriting Video: Text-Driven Reauthoring of Video Footage Video models are zero-shot learners and reasoners
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T15:08:02.125676Z
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 8cff95ed-22f9-420a-a778-817638137559 · inbound
Walk through Paintings: Egocentric World Models from Internet Priors cites this paper.
Walk through Paintings: Egocentric World Models from Internet Priors Video models are zero-shot learners and reasoners
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:56:10.974820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e1b603e-3425-4ea3-a639-ce4b70dcfe05 · inbound
MentisOculi: Revealing the Limits of Reasoning with Mental Imagery cites this paper.
MentisOculi: Revealing the Limits of Reasoning with Mental Imagery Video models are zero-shot learners and reasoners
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:23:36.362402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42e9d9c3-35f6-4d26-9826-aeb083b53ec1 · inbound
PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation cites this paper.
PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation Video models are zero-shot learners and reasoners
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T13:30:12.715082Z
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 f02c4f4e-950a-42bb-bc05-791687929a38 · inbound
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos cites this paper.
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos Video models are zero-shot learners and reasoners
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T17:02:34.202125Z
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 d4271ad1-e621-4140-b318-795f780d4f68 · inbound
Olaf-World: Orienting Latent Actions for Video World Modeling cites this paper.
Olaf-World: Orienting Latent Actions for Video World Modeling Video models are zero-shot learners and reasoners
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:20:05.597563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b18cd75-4f0e-42f7-9e8b-5b7d318d266e · inbound
Demystifying Video Reasoning cites this paper.
Demystifying Video Reasoning Video models are zero-shot learners and reasoners
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:27:11.006580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 235c9488-a005-442c-aae0-b67a4bbaab26 · inbound
Demystifying Video Reasoning cites this paper.
Demystifying Video Reasoning Video models are zero-shot learners and reasoners
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:33:59.549335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b78b9f2-52b7-4f9b-81f4-541eb2d1fe70 · inbound
Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control cites this paper.
Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control Video models are zero-shot learners and reasoners
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T08:39:52.189510Z
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 ba64a69c-d493-454d-91a5-a60a73667133 · inbound
Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows cites this paper.
Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows Video models are zero-shot learners and reasoners
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T07:05:11.529257Z
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 a5cc8712-4230-45de-b03c-9803796d2771 · inbound
Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas cites this paper.
Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas Video models are zero-shot learners and reasoners
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:17:59.786293Z
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 46d4b097-e5b1-45cb-9639-013698813b3f · inbound
LivingWorld: Interactive 4D World Generation with Environmental Dynamics cites this paper.
LivingWorld: Interactive 4D World Generation with Environmental Dynamics Video models are zero-shot learners and reasoners
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T14:17:59.568752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 925b46ba-2822-46e1-8030-7a14036a260e · inbound
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Video models are zero-shot learners and reasoners
Reference 132
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 243eeb01-d7d0-4e85-8212-34c02326e6c8 · inbound
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Video models are zero-shot learners and reasoners
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T09:42:23.808691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e17e2b26-c9dd-43f8-9081-405113acdb3f · inbound
Neural Computers cites this paper.
Neural Computers Video models are zero-shot learners and reasoners
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 1cf11679-e11a-4b4b-a1b7-60848a6e8e6b · inbound
VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis cites this paper.
VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis Video models are zero-shot learners and reasoners
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 984ba074-04f9-4fe4-b1f8-ff33c0703bb3 · inbound
Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories cites this paper.
Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories Video models are zero-shot learners and reasoners
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 87becae0-5a4f-45a6-85cd-7f1ed152188d · inbound
Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories cites this paper.
Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories Video models are zero-shot learners and reasoners
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:14:56.161802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4aeb11e-a523-4b42-9660-0de421449b27 · inbound
GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models cites this paper.
GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models Video models are zero-shot learners and reasoners
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 05dc2edd-95c2-4580-b303-04baf8f8cb4e · inbound
LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation cites this paper.
LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation Video models are zero-shot learners and reasoners
Reference 185
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 ac169a5b-0bba-4a6a-b831-076d4fa5b746 · inbound
VibeFlow: Versatile Video Chroma-Lux Editing through Self-Supervised Learning cites this paper.
VibeFlow: Versatile Video Chroma-Lux Editing through Self-Supervised Learning Video models are zero-shot learners and reasoners
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 1b480e70-761c-44a2-9e30-df8eb095ca8e · inbound
Motif-Video 2B: Technical Report cites this paper.
Motif-Video 2B: Technical Report Video models are zero-shot learners and reasoners
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 735057b6-9c5a-4d3b-b333-b96c82f07fab · inbound
Motif-Video 2B: Technical Report cites this paper.
Motif-Video 2B: Technical Report Video models are zero-shot learners and reasoners
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T00:13:53.063109Z
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 23898561-f7fc-4679-b269-768414dbec70 · inbound
ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes cites this paper.
ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes Video models are zero-shot learners and reasoners
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 0c5c945e-32b6-4df0-b193-7bbd5026eb61 · inbound
ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes cites this paper.
ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes Video models are zero-shot learners and reasoners
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T11:31:29.234533Z
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 32b338c2-0eae-413b-b304-250bb2a6c282 · inbound
Grokking of Diffusion Models: Case Study on Modular Addition cites this paper.
Grokking of Diffusion Models: Case Study on Modular Addition Video models are zero-shot learners and reasoners
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 47e19029-4357-4292-be91-2dfa8b99743b · inbound
Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation cites this paper.
Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation Video models are zero-shot learners and reasoners
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 4daf5438-bf57-48ba-a6d8-7872d39fc58c · inbound
How Far Are Video Models from True Multimodal Reasoning? cites this paper.
How Far Are Video Models from True Multimodal Reasoning? Video models are zero-shot learners and reasoners
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 3b411e37-1b73-450a-b891-3cdfb1d70d9e · inbound
Image Generators are Generalist Vision Learners cites this paper.
Image Generators are Generalist Vision Learners Video models are zero-shot learners and reasoners
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 45cefcfd-2ef4-4145-93d7-257f374f74b8 · inbound
Image Generators are Generalist Vision Learners cites this paper.
Image Generators are Generalist Vision Learners Video models are zero-shot learners and reasoners
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T07:45:14.717890Z
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 18e25512-3d4f-42c9-ad82-d92c2eefc363 · inbound
Open-Source Image Editing Models Are Zero-Shot Vision Learners cites this paper.
Open-Source Image Editing Models Are Zero-Shot Vision Learners Video models are zero-shot learners and reasoners
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 0b894adf-48d8-4de1-b4e2-34205f2d0048 · inbound
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency cites this paper.
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency Video models are zero-shot learners and reasoners
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 cf7d03c2-7f76-4988-a158-239e9d3dcd04 · inbound
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency cites this paper.
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency Video models are zero-shot learners and reasoners
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 389e8009-68a0-4f98-92c5-77ccaefd2b8c · inbound
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency cites this paper.
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency Video models are zero-shot learners and reasoners
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 04aa48ef-e24c-40e1-88ea-b60f033b90f2 · inbound
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency cites this paper.
Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency Video models are zero-shot learners and reasoners
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T13:25:44.802759Z
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 697e63d6-4fd3-42be-9818-d8fab8f63292 · inbound
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models cites this paper.
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models Video models are zero-shot learners and reasoners
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 5be5ac0f-af33-4fd4-8469-02e0762a63c6 · inbound
Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs cites this paper.
Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs Video models are zero-shot learners and reasoners
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 32b52f5c-3574-4a18-aa09-c33c549bf975 · inbound
Do multimodal models imagine electric sheep? cites this paper.
Do multimodal models imagine electric sheep? Video models are zero-shot learners and reasoners
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 145f546c-a99d-4267-aeb7-7ef1b2de59ae · inbound
Progressive Photorealistic Simplification cites this paper.
Progressive Photorealistic Simplification Video models are zero-shot learners and reasoners
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 425ab599-d4ba-4dc6-8df2-a395cc433f46 · inbound
WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors cites this paper.
WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors Video models are zero-shot learners and reasoners
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:46.105477Z
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 99de3e62-1ccb-4dcf-81dd-0fa80f3c5d32 · inbound
Video Models Can Reason with Verifiable Rewards cites this paper.
Video Models Can Reason with Verifiable Rewards Video models are zero-shot learners and reasoners
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T15:07:37.122050Z
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 5d5396a0-1d46-41f5-8166-401dbc58a4e7 · inbound
Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration cites this paper.
Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration Video models are zero-shot learners and reasoners
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T13:18:18.293926Z
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 030c2cfc-0d4b-4ecf-acc3-44152f3c6e53 · inbound
RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation cites this paper.
RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation Video models are zero-shot learners and reasoners
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T12:38:17.021889Z
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 bacafae6-d485-41d0-bd49-fa5299c96311 · inbound
GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation cites this paper.
GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation Video models are zero-shot learners and reasoners
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T11:08:13.567132Z
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 69863998-34f2-4cb3-8c98-2f504caefe43 · inbound
PhyWorld: Physics-Faithful World Model for Video Generation cites this paper.
PhyWorld: Physics-Faithful World Model for Video Generation Video models are zero-shot learners and reasoners
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:33:07.612602Z
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 1bffb555-5f83-4d1b-98dd-642440800660 · inbound
Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection cites this paper.
Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection Video models are zero-shot learners and reasoners
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T06:33:05.467216Z
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 29bc56db-8e81-4077-b4cb-7a4792f2284f · inbound
VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis cites this paper.
VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis Video models are zero-shot learners and reasoners
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:14:42.762103Z
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 6c87aaae-e097-4264-b3d9-d151a9ac0836 · inbound
MotiMotion: Motion-Controlled Video Generation with Visual Reasoning cites this paper.
MotiMotion: Motion-Controlled Video Generation with Visual Reasoning Video models are zero-shot learners and reasoners
Reference 93
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T05:54:38.705592Z
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 e8e8d0ad-deb8-487e-8684-fefbe74f49a3 · inbound
Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation cites this paper.
Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation Video models are zero-shot learners and reasoners
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:23:50.894400Z
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 74fa3fa4-a446-41b2-b1b6-4b3f4c61aac9 · inbound
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players cites this paper.
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Video models are zero-shot learners and reasoners
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T13:53:29.102899Z
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 76e35556-fa49-42d9-8c92-057d85e24d5d · inbound
StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement cites this paper.
StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement Video models are zero-shot learners and reasoners
Reference 110
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:25:59.817219Z
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 1dc5ba28-b9fc-4ef2-bf5e-601f76404a6c · inbound
OptiWorld: Optimal Control for Video World Generation under Physical Constraints cites this paper.
OptiWorld: Optimal Control for Video World Generation under Physical Constraints Video models are zero-shot learners and reasoners
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T19:32:35.523797Z
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 1b146f1f-0cb9-4312-8b2c-a0c5c6d7bdc2 · inbound
AlbedoEdit: Unified Instance-Level Video Editing with Albedo Guidance cites this paper.
AlbedoEdit: Unified Instance-Level Video Editing with Albedo Guidance Video models are zero-shot learners and reasoners
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:56:16.370934Z
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 871081c3-33ae-4a0e-ba68-9dc2fedbbb32 · inbound
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization cites this paper.
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization Video models are zero-shot learners and reasoners
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:26:17.218172Z
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 997a36fb-569a-42a8-b392-62f02be18087 · inbound
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization cites this paper.
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization Video models are zero-shot learners and reasoners
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T10:44:36.802140Z
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 0ed2161f-86dc-48bf-80ec-fcf968de0120 · inbound
Cosmos 3: Omnimodal World Models for Physical AI cites this paper.
Cosmos 3: Omnimodal World Models for Physical AI Video models are zero-shot learners and reasoners
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T22:46:18.400971Z
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 52cef885-4b75-4b3c-8992-f7eeac9d89a1 · inbound
PointAction: 3D Points as Universal Action Representations for Robot Control cites this paper.
PointAction: 3D Points as Universal Action Representations for Robot Control Video models are zero-shot learners and reasoners
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T03:16:34.972421Z
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 59b46e92-a43b-454f-8eab-708b51a08e82 · inbound
OmniTryOn: Video Try-On Anything at Once! cites this paper.
OmniTryOn: Video Try-On Anything at Once! Video models are zero-shot learners and reasoners
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:17:26.380398Z
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 851a4ec4-c9d4-4a56-922d-7e0f3139c5a7 · inbound
Data-Driven Automation cites this paper.
Data-Driven Automation Video models are zero-shot learners and reasoners
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T04:27:36.195390Z
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 6ce2e47a-a03b-4ff9-835b-5cad02df67d7 · inbound
Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks cites this paper.
Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks Video models are zero-shot learners and reasoners
Reference 99
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T05:07:39.113513Z
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 2b1b0719-1c48-459f-b10e-4a5201d8595e · inbound
WorldOlympiad: Can Your World Model Survive a Triathlon? cites this paper.
WorldOlympiad: Can Your World Model Survive a Triathlon? Video models are zero-shot learners and reasoners
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T05:47:41.341692Z
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 6aad9cc6-d226-435e-90f7-3bc87b10614d · inbound
VICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator Network cites this paper.
VICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator Network Video models are zero-shot learners and reasoners
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T11:28:04.540519Z
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 3cf84998-9a19-450d-a02b-c440560e3faf · inbound
World Model Self-Distillation: Training World Models to Solve General Tasks cites this paper.
World Model Self-Distillation: Training World Models to Solve General Tasks Video models are zero-shot learners and reasoners
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T10:07:55.828142Z
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 2765f2ef-669a-46b6-8033-9fd7646e9c92 · inbound
WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation cites this paper.
WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation Video models are zero-shot learners and reasoners
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T15:38:34.121144Z
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 900e083e-6dc4-4831-9237-075a15147f80 · inbound
NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics cites this paper.
NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics Video models are zero-shot learners and reasoners
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T17:18:43.360556Z
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 24a22b57-39c7-4bfd-bb47-1c06a3136b9f · inbound
Physics-IQ Verified cites this paper.
Physics-IQ Verified Video models are zero-shot learners and reasoners
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:29:15.593809Z
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 dfa7dfc3-070c-45e7-bb53-d6ad772fdd4d · inbound
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation cites this paper.
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation Video models are zero-shot learners and reasoners
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T16:49:58.078372Z
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 0b66c0aa-f0f9-44b7-a1ef-ad9f4fd0a122 · inbound
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation cites this paper.
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation Video models are zero-shot learners and reasoners
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T13:19:51.050647Z
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 5759d396-7558-45f8-b65a-d45dedb64175 · inbound
A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks cites this paper.
A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks Video models are zero-shot learners and reasoners
Reference 91
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T15:45:48.900946Z
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 981ed76b-0c7d-4df0-a74e-595e213c2758 · inbound
Bridging Video Understanding and Generation in a Unified Framework cites this paper.
Bridging Video Understanding and Generation in a Unified Framework Video models are zero-shot learners and reasoners
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:05:40.347769Z
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 e8ddcdf1-dfc9-41a5-b97d-2a8bbc1f8a1d · inbound
Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space cites this paper.
Global Pose Control for Generative View Synthesis in Normalized Object Coordinate Space Video models are zero-shot learners and reasoners
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T07:34:02.473153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0db48952-a698-4bfa-939b-d25a5512eb4c · inbound
Self-Improving Diffusion Classifiers with Minority Preference Optimization cites this paper.
Self-Improving Diffusion Classifiers with Minority Preference Optimization Video models are zero-shot learners and reasoners
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:04:25.954963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8277d48-383d-42a7-9771-029834d3907c · inbound
Video Generation Models Are Inherent Lighting Estimators cites this paper.
Video Generation Models Are Inherent Lighting Estimators Video models are zero-shot learners and reasoners
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T15:23:22.681709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c660030-abd4-41db-ab64-750e25cad946 · inbound
Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models cites this paper.
Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models Video models are zero-shot learners and reasoners
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T07:04:37.865482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa4ea3b1-c690-484e-a86f-6a14c1f70746 · inbound
Gen4U: Unifying Video Generation and Understanding via Diffusion cites this paper.
Gen4U: Unifying Video Generation and Understanding via Diffusion Video models are zero-shot learners and reasoners
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T00:26:39.639035Z
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 8657b9ef-67e8-4500-a5f8-38582f8953d2 · inbound
OpenCoF: Learning to Reason Through Video Generation cites this paper.
OpenCoF: Learning to Reason Through Video Generation Video models are zero-shot learners and reasoners
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:46:40.972750Z
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 8e37c9d8-47b1-4b2e-aff0-3e4f726cd7f5 · inbound
Video Generation Models are General-Purpose Vision Learners cites this paper.
Video Generation Models are General-Purpose Vision Learners Video models are zero-shot learners and reasoners
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T00:56:18.867382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb1be0d7-326c-4df3-92ca-1544e8a006fb · inbound
From Pixels to States: Rethinking Interactive World Models as Game Engines cites this paper.
From Pixels to States: Rethinking Interactive World Models as Game Engines Video models are zero-shot learners and reasoners
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:52:18.530088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c482106-cb9a-469d-9c97-c392dce55833 · inbound
Privacy-Aware Synthetic Video Benchmarking and Relational Evaluation for Worker-Under-Suspended-Load Detection cites this paper.
Privacy-Aware Synthetic Video Benchmarking and Relational Evaluation for Worker-Under-Suspended-Load Detection Video models are zero-shot learners and reasoners
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:40:12.822532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6792c75c-d84d-4134-b62d-4259ad71952f · inbound
Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence cites this paper.
Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence Video models are zero-shot learners and reasoners
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:07:27.838962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3250ba63-0662-4c3d-a75d-c3d83c42d811 · inbound
Between Safe Boundaries: Exploiting Temporal Consistency for Jailbreaking Text-To-Video Generation Models cites this paper.
Between Safe Boundaries: Exploiting Temporal Consistency for Jailbreaking Text-To-Video Generation Models Video models are zero-shot learners and reasoners
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:33:06.207028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 127f1619-a1a4-436b-bd5c-7b1487b9bdc1 · inbound
Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction cites this paper.
Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction Video models are zero-shot learners and reasoners
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:24:29.782087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9846cd65-116c-4b57-9aa4-0b11093d535f · inbound
FilmBench: A Film-Grade Benchmark for Cinematic Video Generation cites this paper.
FilmBench: A Film-Grade Benchmark for Cinematic Video Generation Video models are zero-shot learners and reasoners
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T20:13:33.415740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0654ae9d-0209-4ca9-b583-f60db8edc336 · inbound
Visual prompt engineering for video models cites this paper.
Visual prompt engineering for video models Video models are zero-shot learners and reasoners
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:13:11.573564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bf596d3-03c3-4ea5-b621-d9e868882fec · inbound
Ripple: Real-Time Streaming Audio-Video Generation With Cross-Modal Recurrent Memory cites this paper.
Ripple: Real-Time Streaming Audio-Video Generation With Cross-Modal Recurrent Memory Video models are zero-shot learners and reasoners
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T20:12:49.623361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06ddc16a-919d-4051-9d31-01dab965ebab · inbound
World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models cites this paper.
World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Video models are zero-shot learners and reasoners
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:59:38.639705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.