Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T00:33:50.471804Z
Paper Citation Record · LEDGER
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
As of 5 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 100 inbound Pith citation observations for arXiv:2506.09985.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T06:04:03.420693Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
69 of 69 outbound references displayed
- verified exact48
- verified fuzzy9
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch11
External citation measurements
3
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 201bc43f-a55d-4a40-abd1-5a4ab1bd16a4 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Cosmos World Foundation Model Platform for Physical AI
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.706975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 84124e4f-7ec8-46d3-9e7c-2f185788a459 · outbound
This paper cites The Hidden Uniform Cluster Prior in Self-Supervised Learning.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning The Hidden Uniform Cluster Prior in Self-Supervised Learning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.615165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0c4c3889-4ac4-43e6-b0b7-542a2be6494a · outbound
This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Revisiting Feature Prediction for Learning Visual Representations from Video
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T12:40:24.452580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1cac71f1-58df-4132-bd8c-e6bfe8e9cf69 · outbound
This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.658349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5b6f6463-1cb4-4704-8729-e5b45bc57d45 · outbound
This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.663856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 72dc4682-8985-4280-81fd-d359e9130445 · outbound
This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.677015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a641c187-947a-4c2a-a8d5-7f5e6f296f4c · outbound
This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Perception Encoder: The best visual embeddings are not at the output of the network
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:21:16.084670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c6b04c45-8f01-4280-97ac-3488f0dd72d2 · outbound
This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.699817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b3e7157c-7b90-4817-989b-f5200612b389 · outbound
This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.948202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 44f9af9e-5d1a-4739-96ae-26e3ee04a784 · outbound
This paper cites A Short Note about Kinetics-600.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning A Short Note about Kinetics-600
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.714339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb071916-8124-410a-98cb-d137010fa565 · outbound
This paper cites A Short Note on the Kinetics-700 Human Action Dataset.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning A Short Note on the Kinetics-700 Human Action Dataset
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.725871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f95764d-646c-414b-9d2c-358331e7599a · outbound
This paper cites Scaling 4D Representations.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Scaling 4D Representations
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.730654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb939337-9d3a-4bff-99dd-4dab5c33a910 · outbound
This paper cites Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.741002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cd5d2a7-0d85-490e-a597-fadc8b1949d0 · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.745932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5481e072-022d-4fb6-974c-a1f73ccbf903 · outbound
This paper cites PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.751197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ddcf280-f912-4b04-a12e-5e84b7c485e2 · outbound
This paper cites Lost in Time: A New Temporal Benchmark for VideoLLMs.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Lost in Time: A New Temporal Benchmark for VideoLLMs
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:50.755434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1605c1b9-48e0-4470-8876-c126e7c7da52 · outbound
This paper cites Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision (IJCV).
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision (IJCV)
Reference 17
- Resolution
- metadata mismatch
- doi, observed 2026-05-11T00:33:50.598343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 26548820-34cc-46ec-b905-9e3d7a804b1f · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.759248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 57437d9d-66ca-4e5a-87c3-adf9bf9e453e · outbound
This paper cites Driess, F.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Driess, F
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.763515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fcb8aa3a-2c89-4015-82af-6b32beb1c621 · outbound
This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.779946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b4fc876-9190-4d61-8583-94c60ded441c · outbound
This paper cites Scaling Language-Free Visual Representation Learning.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Scaling Language-Free Visual Representation Learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.790701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0d1cdbad-61e0-4aa1-8757-c176ebea21e6 · outbound
This paper cites Multimodal Autoregressive Pre-training of Large Vision Encoders.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Multimodal Autoregressive Pre-training of Large Vision Encoders
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:50.796334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1df28384-6207-4a77-8bf9-e715e6d7bd4f · outbound
This paper cites Learning Visual Predictive Models of Physics for Playing Billiards.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Learning Visual Predictive Models of Physics for Playing Billiards
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.811345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da9481c3-0afc-4f49-993a-4ed25268cb13 · outbound
This paper cites He, B., Yin, L., Zhen, H.-L., Liu, S., Wu, H., Zhang, X., Yuan, M., and Ma, C.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning He, B., Yin, L., Zhen, H.-L., Liu, S., Wu, H., Zhang, X., Yuan, M., and Ma, C
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:50.821430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cb7acec-43f4-4ac7-8ef5-9fbac5a594c6 · outbound
This paper cites The Llama 3 Herd of Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning The Llama 3 Herd of Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.829441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c7a600d1-840b-4ff7-86ef-153bff29820d · outbound
This paper cites MaskViT: Masked Visual Pre-Training for Video Prediction.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning MaskViT: Masked Visual Pre-Training for Video Prediction
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:50.835310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cbbef07d-29b2-47c4-95d4-fddd0f75e9ac · outbound
This paper cites World Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning World Models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:08:36.665942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19a1361b-43c3-48e1-aff6-8e92026358e7 · outbound
This paper cites Dream to Control: Learning Behaviors by Latent Imagination.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Dream to Control: Learning Behaviors by Latent Imagination
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:16:36.618198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5754e964-70a6-4abd-a996-3b33939c6594 · outbound
This paper cites Temporal Difference Learning for Model Predictive Control.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Temporal Difference Learning for Model Predictive Control
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.866977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b35811ad-c69e-4a7d-8415-fa3bcaf5986e · outbound
This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning TD-MPC2: Scalable, Robust World Models for Continuous Control
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:27:36.461279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4ba759a-8199-4962-aa8e-2a77bd90c9d6 · outbound
This paper cites GAIA-1: A Generative World Model for Autonomous Driving.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning GAIA-1: A Generative World Model for Autonomous Driving
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:15:10.779550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05a596de-a1e0-4a57-8668-a476c90b7169 · outbound
This paper cites Huang, P., Liu, S., Liu, Z., Yan, Y ., Wang, S., Chen, Z., and Xiao, T.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Huang, P., Liu, S., Liu, Z., Yan, Y ., Wang, S., Chen, Z., and Xiao, T
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:50.897096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a353802c-bc41-43c8-8ec1-ee2124de08e8 · outbound
This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Perceiver IO: A General Architecture for Structured Inputs & Outputs
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T19:47:14.368858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 512192e1-5c2f-421b-8717-7545025e78eb · outbound
This paper cites The Kinetics Human Action Video Dataset.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning The Kinetics Human Action Video Dataset
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:13:45.682066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d9daf3d7-f670-43fe-b71d-216708b2a2c3 · outbound
This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:51:19.504346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dee87fdd-3f34-4d1e-919a-a6fce3010e77 · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning OpenVLA: An Open-Source Vision-Language-Action Model
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.935341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 95317c8e-06fc-4c1f-bef4-3d1bc77394f1 · outbound
This paper cites A path towards autonomous machine intelligence version 0.9.2, 2022-06-27.Open Review, 62(1):1–62.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning A path towards autonomous machine intelligence version 0.9.2, 2022-06-27.Open Review, 62(1):1–62
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T00:33:51.213849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a49219d-35ae-4aec-a482-1252cd056abb · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning LLaVA-OneVision: Easy Visual Task Transfer
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T00:33:51.102812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8359af7d-9ab3-4be8-9d3c-1fd8d95608af · outbound
This paper cites TempCompass: Do Video LLMs Really Understand Videos?.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning TempCompass: Do Video LLMs Really Understand Videos?
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:46:17.144047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 45cc6c29-ea7d-4df9-993c-173a43c8c513 · outbound
This paper cites Decoupled Weight Decay Regularization.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Decoupled Weight Decay Regularization
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:51.112985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 06953f0c-1aeb-41ad-a154-2c2e310e8590 · outbound
This paper cites Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:51.120897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9d623b42-e6a5-42be-9ef5-29b84742618d · outbound
This paper cites Octo: An Open-Source Generalist Robot Policy.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Octo: An Open-Source Generalist Robot Policy
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:51.126566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 57365b87-d7e6-4990-aca8-c82a929eeb0a · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning DINOv2: Learning Robust Visual Features without Supervision
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:51.136489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 06ea8c53-e396-447e-a2e7-7f7852559e51 · outbound
This paper cites Qwen2.5-VL Technical Report.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Qwen2.5-VL Technical Report
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:51.149057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 93043d74-8061-46d9-9ec8-2118051a49ef · outbound
This paper cites An Empirical Study of Autoregressive Pre-training from Videos.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning An Empirical Study of Autoregressive Pre-training from Videos
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.155917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d57d4997-31f2-4682-a732-3cee5148dacf · outbound
This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:48:22.447793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd1c37b8-704b-4224-888d-0992d7313db4 · outbound
This paper cites TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.178602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f501c319-0753-418f-8e25-5100c409fa1e · outbound
This paper cites Learning from reward-free offline data: A case for planning with latent dynamics models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Learning from reward-free offline data: A case for planning with latent dynamics models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.190282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed8e984d-368c-4623-95b6-256643006d18 · outbound
This paper cites Video Occupancy Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Video Occupancy Models
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eec793d8-d0c9-4b3f-b870-7fcde67106e0 · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:51.202552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 03b7c11b-16a0-4b97-8a9c-c4fa9e3062d9 · outbound
This paper cites The Evolution of Multimodal Model Architectures.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning The Evolution of Multimodal Model Architectures
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:50.954145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation efc3332f-1f50-491c-85bb-3c960ecc534a · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:33:50.959202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ea17cc3-a4f7-4b31-8377-a22e27bd17ec · outbound
This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T16:32:05.974462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 506152f2-e699-4975-852f-f94d86af54a0 · outbound
This paper cites Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:50.994322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5f53b7b9-dd40-42ca-9226-7639e797b152 · outbound
This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:02:01.218694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15bd45bc-a1b8-4c77-8dd8-83626e44a128 · outbound
This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:19:22.513527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f937889c-ac7f-4d16-b967-bec5f6d8c96a · outbound
This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:21:45.399848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ad1e2d9-6c37-401d-bb2c-b32321d5c289 · outbound
This paper cites FLARE: Robot Learning with Implicit World Modeling.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning FLARE: Robot Learning with Implicit World Modeling
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T15:59:09.111136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 339aa09a-d664-4b98-98dd-6f5afc436f7f · outbound
This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T16:06:10.055251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 93e6b606-7cf2-4cff-936d-0abc15437426 · outbound
This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T16:25:00.606134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a1188a44-03fc-4259-831f-f1f75f816862 · outbound
This paper cites abbreviated.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning abbreviated
Reference 61
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9652bef8-da87-4409-b4ff-cbec3f69077c · outbound
This paper cites (2020), using the standard16 × 16 patch size.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning (2020), using the standard16 × 16 patch size
Reference 62
- Resolution
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- raw_fallback, observed 2026-05-11T00:33:51.250197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1df189b3-4176-4803-8df5-004026c7a7ba · outbound
This paper cites For the pick-and-place tasks we present two sub-goal images to the model in addition to the final goal.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning For the pick-and-place tasks we present two sub-goal images to the model in addition to the final goal
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T00:33:51.255541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cca2a2f-f3c5-47cb-bfcf-cb6bbd4d06a8 · outbound
This paper cites The MLLM ingests the output embeddings of the vision encoder, which are projected to the hidden dimension of the LLM backbone using aprojector module.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning The MLLM ingests the output embeddings of the vision encoder, which are projected to the hidden dimension of the LLM backbone using aprojector module
Reference 64
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 763b4da0-03cc-4965-9bad-c241fb7b9ac3 · outbound
This paper cites We describe the training details in the following sections.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning We describe the training details in the following sections
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T00:33:51.217765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98a591e2-65dc-4d12-aa70-daabf6b9780d · outbound
This paper cites To assess the ability of V-JEPA 2 to capture spatiotemporal details for VidQA, we compare to leading off-shelf image encoders.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning To assess the ability of V-JEPA 2 to capture spatiotemporal details for VidQA, we compare to leading off-shelf image encoders
Reference 66
- Resolution
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- raw_fallback, observed 2026-05-11T00:33:51.221451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 689f5c30-4102-4141-a14d-e6b9b166681a · outbound
This paper cites Unlike Cho et al.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Unlike Cho et al
Reference 67
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8c6206a5-0347-4ae4-a5f0-65cce4f07999 · outbound
This paper cites We scale up the data size to 88.5 million samples.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning We scale up the data size to 88.5 million samples
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T00:33:51.227970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5766f544-a493-431f-bb50-22e375a8bae9 · outbound
This paper cites an unresolved cited work.
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T00:33:51.230791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 21a9cdcc-18e3-4368-8bc6-7f934b17a38c · inbound
3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography cites this paper.
3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 29
- Resolution
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- local_arxiv, observed 2026-05-23T03:27:27.024372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f2e97c4-f009-4f96-bf8a-1d1219edbc22 · inbound
A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.
A Survey on Vision-Language-Action Models: An Action Tokenization Perspective V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 298
- Resolution
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- local_arxiv, observed 2026-05-17T14:08:35.462325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 61102fb8-a0dc-4cd7-b391-66e53c861e88 · inbound
Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.
Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 201
- Resolution
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- local_arxiv, observed 2026-05-17T20:28:16.240454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d30e72f5-c6d1-4ed0-9cef-06c758ff7752 · inbound
3D and 4D World Modeling: A Survey cites this paper.
3D and 4D World Modeling: A Survey V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4b14d17-b51d-4562-b0c4-b0b79f98482b · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 24
- Resolution
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- local_arxiv, observed 2026-05-18T00:02:24.869240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96208e04-2720-4f38-9ca4-5006ef5ab42c · inbound
Video models are zero-shot learners and reasoners cites this paper.
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 2026-08-05T06:32:48.257954+00:00.
Observation 7d0e224a-43b3-4916-99fb-1379ff8754b7 · inbound
World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training cites this paper.
World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c0a10ac1-b6f2-4aeb-9670-ff93d76bbf30 · inbound
Inferring Dynamic Physical Properties from Video Foundation Models cites this paper.
Inferring Dynamic Physical Properties from Video Foundation Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ce7c558-6d52-4d25-ad06-07093d0bdb01 · inbound
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials cites this paper.
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2381dac-5508-4b30-95f3-13fea060946d · inbound
Hybrid Architectures for Language Models: Systematic Analysis and Design Insights cites this paper.
Hybrid Architectures for Language Models: Systematic Analysis and Design Insights V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
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- local_arxiv, observed 2026-05-18T10:21:15.006979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38d2428e-0744-43b7-88d2-6041cc7a3d29 · inbound
A Comprehensive Survey on World Models for Embodied AI cites this paper.
A Comprehensive Survey on World Models for Embodied AI V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 14
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab3cb743-68a0-4ace-b948-d3a1d9d89180 · inbound
World Simulation with Video Foundation Models for Physical AI cites this paper.
World Simulation with Video Foundation Models for Physical AI V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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- local_arxiv, observed 2026-05-12T23:01:13.764797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4e4b2129-5193-46d3-a387-fc376242db98 · inbound
Cambrian-S: Towards Spatial Supersensing in Video cites this paper.
Cambrian-S: Towards Spatial Supersensing in Video V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 6
- Resolution
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- local_arxiv, observed 2026-05-18T03:46:04.539471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d7ad238f-d48f-47bf-b56d-6e0de984978b · inbound
IPR-1: Interactive Physical Reasoner cites this paper.
IPR-1: Interactive Physical Reasoner V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
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- local_arxiv, observed 2026-05-17T20:55:14.957837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dda7fd4f-7d7d-4d7e-a0bc-1b85c5188586 · inbound
IPR-1: Interactive Physical Reasoner cites this paper.
IPR-1: Interactive Physical Reasoner V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d703c97-a3c9-4ed9-8e12-712545cabcff · inbound
POMA-3D: The Point Map Way to 3D Scene Understanding cites this paper.
POMA-3D: The Point Map Way to 3D Scene Understanding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
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- local_arxiv, observed 2026-05-17T20:30:11.562918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a26b75e-ccdb-4541-94ad-957a160d7f01 · inbound
Rethinking Reward Signals in Video GRPO: When Scores Become Targets cites this paper.
Rethinking Reward Signals in Video GRPO: When Scores Become Targets V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c58b4f50-b54f-4fa5-b31c-2ea5c5e1e5d0 · inbound
MIND-V: Hierarchical World Model for Long-Horizon Robotic Manipulation with RL-based Physical Alignment cites this paper.
MIND-V: Hierarchical World Model for Long-Horizon Robotic Manipulation with RL-based Physical Alignment V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adac12f7-08b5-4027-be17-8ce31abf9a29 · inbound
CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space cites this paper.
CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aef58132-70af-47e3-981d-a8f1dd0a24c8 · inbound
Track and Caption Any Motion: Open-Vocabulary Spatiotemporal Captioning via Trajectory-Conditioned Generation cites this paper.
Track and Caption Any Motion: Open-Vocabulary Spatiotemporal Captioning via Trajectory-Conditioned Generation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31f0bd24-cdaf-4924-a56e-f53b0ba3020d · inbound
A Geometric Theory of Cognition for Machine Intelligence cites this paper.
A Geometric Theory of Cognition for Machine Intelligence V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af32d96c-5b12-46c1-b227-b72cec58107a · inbound
Recurrent Video Masked Autoencoders cites this paper.
Recurrent Video Masked Autoencoders V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f6f8a27-8e83-43a3-9a5b-74f822c77d77 · 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 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ae34eebe-d67b-4c98-ad3d-87c153291f73 · inbound
Probing and Leveraging Video Diffusion Transformer Features for Robust Point Tracking cites this paper.
Probing and Leveraging Video Diffusion Transformer Features for Robust Point Tracking V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9499361-b3e8-4730-a19b-f05269409e1f · 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 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
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- local_arxiv, observed 2026-05-16T19:38:21.072718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0fd2bcdf-49c0-47e7-b972-a559bf8f87f7 · inbound
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation cites this paper.
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T18:41:10.949440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ad22814e-df61-40a5-9c25-ad49bd2911d4 · inbound
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation cites this paper.
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:35:54.025798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baa17504-3b25-4f8f-9df5-f436e1ccdb58 · inbound
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments cites this paper.
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:00:51.146564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bc65591-6b88-4c89-bb64-14a49b14b01e · inbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding cites this paper.
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:37:27.943411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59019341-dc3a-42cf-9eb0-5eb63e765887 · inbound
Advancing Open-source World Models cites this paper.
Advancing Open-source World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:07:01.064580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ccbc70af-4af1-4c23-95a0-32fde3d2353b · inbound
Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving cites this paper.
Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:48:13.911798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10d87c3c-b641-4255-8841-35c48e2c3b4b · inbound
PEPR: Privileged Event-based Predictive Regularization for Domain Generalization cites this paper.
PEPR: Privileged Event-based Predictive Regularization for Domain Generalization V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:40:44.111305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b5c27669-8051-4f81-9fca-a33b4e8e9d6e · inbound
SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos cites this paper.
SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:17:30.309716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d47e3b7b-3f15-4065-a7fd-c0029e97b160 · 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 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T17:02:34.074516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 53dafe14-8e19-4c33-bf29-1a261ef3d584 · inbound
OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization cites this paper.
OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:10:43.176327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 97ca2aad-0555-4096-b31d-63295199f0b3 · inbound
Going with the Flow: Koopman Behavioral Models as Pseudo Planners for Visuo-Motor Dexterity cites this paper.
Going with the Flow: Koopman Behavioral Models as Pseudo Planners for Visuo-Motor Dexterity V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:41:53.258454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8574663c-49b5-495e-ad2d-e4e5c55c2037 · inbound
Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion cites this paper.
Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T07:07:30.029514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 612e5dc3-2012-409f-9649-c32baa742f19 · inbound
Olaf-World: Orienting Latent Actions for Video World Modeling cites this paper.
Olaf-World: Orienting Latent Actions for Video World Modeling V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:20:04.620117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cde03a6-daf4-4890-863d-8934ac6bd406 · inbound
RISE: Self-Improving Robot Policy with Compositional World Model cites this paper.
RISE: Self-Improving Robot Policy with Compositional World Model V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T02:30:32.159613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation edea824e-f551-4587-8b00-c2326bdfcfe1 · inbound
World Action Models are Zero-shot Policies cites this paper.
World Action Models are Zero-shot Policies V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:18:15.244552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8ca2d4af-bf68-4a7a-b8bf-f51fae9b828e · inbound
Xray-Visual Models: Scaling Vision models on Industry Scale Data cites this paper.
Xray-Visual Models: Scaling Vision models on Industry Scale Data V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:25:57.827119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c0c1ec0-bcc9-43cf-814f-8a6d3b71c92b · inbound
Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping cites this paper.
Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:56:33.994859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6276ba32-2cb3-4495-86f7-5f86d7344504 · inbound
TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.
TrajTok: Learning Trajectory Tokens enables better Video Understanding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:16:31.936451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation abbaeea2-1fbe-4f5e-a560-ab79d31205d2 · inbound
TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.
TrajTok: Learning Trajectory Tokens enables better Video Understanding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:38:35.343597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed6458fc-c39e-49d3-a453-7e7473b89bd0 · inbound
GeoWorld: Geometric World Models cites this paper.
GeoWorld: Geometric World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T11:40:03.357822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e85ab659-0887-475e-a06d-6ba5ae6d989d · inbound
EgoMoD: Predicting Global Maps of Dynamics from Local Egocentric Observations cites this paper.
EgoMoD: Predicting Global Maps of Dynamics from Local Egocentric Observations V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:38:16.567411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bd60c73-fe88-451c-88f1-86c1b145c81f · inbound
ReMoT: Reinforcement Learning with Motion Contrast Triplets cites this paper.
ReMoT: Reinforcement Learning with Motion Contrast Triplets V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:58:12.904007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89965aa2-5d0d-493d-8d98-55fb15729978 · inbound
RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation cites this paper.
RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:56:44.652978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06261469-2999-4665-af3d-125c049f3567 · inbound
Dreamer-CDP: Improving Reconstruction-free World Models Via Continuous Deterministic Representation Prediction cites this paper.
Dreamer-CDP: Improving Reconstruction-free World Models Via Continuous Deterministic Representation Prediction V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:50:05.131996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d328c51-3b8a-4d96-bf3b-8ec7053f88a0 · inbound
PlayWorld: Learning Robot World Models from Autonomous Play cites this paper.
PlayWorld: Learning Robot World Models from Autonomous Play V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:05:54.592109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d247fa89-3dd1-4fcb-8121-5ef947af325a · inbound
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning cites this paper.
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:11:29.452431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16560a48-022d-4352-950b-e8246d764ca0 · inbound
Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding cites this paper.
Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:54:04.043468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23af3160-2c36-400f-84c3-89ff5668f910 · inbound
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels cites this paper.
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T04:09:22.421581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ceb99782-4f30-4b07-9610-178fd1f13b3b · inbound
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model cites this paper.
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T20:17:45.587021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f95f2fe-9259-479e-b25b-5e566ce335f8 · inbound
Factorization Regret mediates compositional generalization in latent space cites this paper.
Factorization Regret mediates compositional generalization in latent space V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T23:18:15.909718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 100bf105-1541-4c8b-8aa8-2d51137a3a71 · inbound
Factorization Regret mediates compositional generalization in latent space cites this paper.
Factorization Regret mediates compositional generalization in latent space V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:46:17.900933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3bbbd9e-94f2-4f4b-8571-300692b94b8b · inbound
Topological sum rule for geometric phases of quantum gates cites this paper.
Topological sum rule for geometric phases of quantum gates V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T15:33:59.448352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80ecc837-2a2f-4b48-be64-ab3373eb5029 · inbound
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry cites this paper.
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T14:05:26.303000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d094bea9-e17b-486c-9f17-a1f06f2bd0b3 · inbound
Hierarchical Planning with Latent World Models cites this paper.
Hierarchical Planning with Latent World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T20:18:13.819302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf57247f-acab-491e-bf07-88a05c31f1ce · inbound
Emergent Compositional Communication for Latent World Properties cites this paper.
Emergent Compositional Communication for Latent World Properties V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T08:29:52.183924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b0e9a11d-3fbc-4e1a-a690-7786c981094e · inbound
Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation? cites this paper.
Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation? V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7323336e-7f29-4016-b2f9-33980d4733dd · inbound
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef4339cd-0695-4a61-8b2a-e82da2a66563 · inbound
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- 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 6169bb95-c826-4c1f-af34-866a793f05be · inbound
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing cites this paper.
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d1c0a46-fbe9-4a36-9baf-565ffe1c7911 · inbound
Action Images: End-to-End Policy Learning via Multiview Video Generation cites this paper.
Action Images: End-to-End Policy Learning via Multiview Video Generation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e3c5bc1-0b32-489a-bc99-9233bafaa622 · inbound
The Cartesian Cut in Agentic AI cites this paper.
The Cartesian Cut in Agentic AI V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:51:10.828754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4dbef46-0207-4e20-b674-434e937dacc5 · inbound
A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation cites this paper.
A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ff9a67a8-604d-4515-ae69-06bea3cbb133 · inbound
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics cites this paper.
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:10:55.621528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f334355b-f8ce-4e64-914c-c9c4e2cb2118 · inbound
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics cites this paper.
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T09:19:56.619333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f6276d56-bbf8-4642-bfac-e566e0fd01c8 · inbound
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory cites this paper.
Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:41:04.710352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b339fed-d2bf-4fa8-b583-4f83f8c6f0b8 · inbound
Zero-shot World Models Are Developmentally Efficient Learners cites this paper.
Zero-shot World Models Are Developmentally Efficient Learners V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:16:08.390658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b94b971-c780-4c1d-a3f7-406da2b4b39a · 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 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T08:26:01.705672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 50996131-99c6-4bb5-8670-9375b8c28b1c · inbound
Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding cites this paper.
Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:51:02.844753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d5400338-cc49-433f-bb25-0d875da0e26f · inbound
Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction cites this paper.
Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T08:45:58.539499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0490e0e-8127-4f85-9983-874e5fea1123 · inbound
Grounded World Model for Semantically Generalizable Planning cites this paper.
Grounded World Model for Semantically Generalizable Planning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 57faeb5d-c3c7-4e0a-a986-b4f43b48116d · inbound
Learning Versatile Humanoid Manipulation with Touch Dreaming cites this paper.
Learning Versatile Humanoid Manipulation with Touch Dreaming V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:31:03.269322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bc09f644-da8c-42d7-86ed-5f21a588671c · inbound
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results cites this paper.
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c071330a-ffda-485a-9964-3a03dad4a69f · inbound
AnimationBench: Are Video Models Good at Character-Centric Animation? cites this paper.
AnimationBench: Are Video Models Good at Character-Centric Animation? V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4a1bb3cd-6d4e-48ba-813c-d47acc0a6cd3 · inbound
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance cites this paper.
Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa9b2aa5-4bde-4283-888b-d13bc903e180 · inbound
Human Cognition in Machines: A Unified Perspective of World Models cites this paper.
Human Cognition in Machines: A Unified Perspective of World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f054379c-ff58-47a3-ab08-0affcc7c8d33 · inbound
Active World-Model with 4D-informed Retrieval for Exploration and Awareness cites this paper.
Active World-Model with 4D-informed Retrieval for Exploration and Awareness V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98c68955-945f-49bb-9590-6929e3521b14 · inbound
Watching Physics: the Generative Science of Matter and Motion cites this paper.
Watching Physics: the Generative Science of Matter and Motion V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b640478-bbcf-40c1-9021-ef2fd37152b5 · inbound
RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation cites this paper.
RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b8663770-f9a9-4c91-b695-9640e57bf87d · inbound
RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation cites this paper.
RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T06:19:50.267503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a9e2724-55be-464a-840f-c73f6113e49c · inbound
Mask World Model: Predicting What Matters for Robust Robot Policy Learning cites this paper.
Mask World Model: Predicting What Matters for Robust Robot Policy Learning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T13:11:06.331616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2f9ddda3-64b1-4c17-a97c-023df2cd2804 · inbound
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment cites this paper.
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 70f8e283-5974-4e01-9be8-c535914a03ee · inbound
Exploring High-Order Self-Similarity for Video Understanding cites this paper.
Exploring High-Order Self-Similarity for Video Understanding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:33:51.269344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8f847a4-e859-4099-9380-7d3e2a2d9cf7 · inbound
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics cites this paper.
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T13:56:05.568412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e70a9cc-382c-40c9-8444-cc4252b97c92 · inbound
Sapiens2 cites this paper.
Sapiens2 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:21:06.834481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32102979-e1a1-4f54-b2ea-65e91e5a982a · inbound
Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models cites this paper.
Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T18:56:07.566890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 33747b10-1494-4a32-a753-d5d9f3fc89ac · inbound
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies cites this paper.
A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:16:08.977561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd7e36e3-8c87-49ea-940a-dfe051c0c54e · inbound
SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.
SS3D: End2End Self-Supervised 3D from Web Videos V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T19:06:12.301942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5dc7b409-eda9-4c7f-9e76-954eb13f19f5 · inbound
SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.
SS3D: End2End Self-Supervised 3D from Web Videos V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T07:46:30.201939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7c581a3-6796-411e-ba2a-f53831bca7df · inbound
SS3D: End2End Self-Supervised 3D from Web Videos cites this paper.
SS3D: End2End Self-Supervised 3D from Web Videos V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T21:27:59.609043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bfc17488-b348-4be3-9279-508eedc1a782 · inbound
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T19:26:07.829429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3483b91e-7ff2-4218-b80f-a014b115de23 · inbound
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T17:29:59.538944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77f8cd15-cd30-45c4-8b22-2ecc5e7e580f · inbound
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation cites this paper.
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:26:11.646080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 59f04218-6cf5-4c70-bc8d-1b8089e884b0 · inbound
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation cites this paper.
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T11:21:29.203425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7198b9f8-18c0-452e-843c-25599a2684a7 · inbound
Lifting Embodied World Models for Planning and Control cites this paper.
Lifting Embodied World Models for Planning and Control V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T23:41:15.767575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd2d379d-f512-49d7-8a73-019fc8909cf0 · inbound
Lifting Embodied World Models for Planning and Control cites this paper.
Lifting Embodied World Models for Planning and Control V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:20:24.269257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.