Paper Citation Record · LEDGER

Back to the Features: DINO as a Foundation for Video World Models

As of 17 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 19 inbound Pith citation observations for arXiv:2507.19468.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.19468 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:24:27.413833Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:13:32.849963Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T20:38:55.747199Z

Reference resolution

70 of 70 outbound references displayed

verified exact0
verified fuzzy50
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1793104-a74f-4e87-964c-91983d040163 · outbound

This paper cites Recurrent world models facilitate policy evolution.

Back to the Features: DINO as a Foundation for Video World Models Recurrent world models facilitate policy evolution

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:31.055775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0179cea5-6424-4d8f-ac0e-f1d2fef54403 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Back to the Features: DINO as a Foundation for Video World Models GAIA-1: A Generative World Model for Autonomous Driving

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:19.230074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b154396-d440-430a-8111-04af2298a4ba · outbound

This paper cites Learning interactive real-world simulators.

Back to the Features: DINO as a Foundation for Video World Models Learning interactive real-world simulators

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:31.041389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fb5ea1f-3d80-4c4e-8b2a-92e7f5e8334c · outbound

This paper cites Video gen- eration models as world simulators.

Back to the Features: DINO as a Foundation for Video World Models Video gen- eration models as world simulators

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:31.026043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d701c55-b1d1-4af9-8117-9b6a962f88d6 · outbound

This paper cites Genie: Generative interactive environments.

Back to the Features: DINO as a Foundation for Video World Models Genie: Generative interactive environments

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:31.011696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73d6bbeb-9f8c-491a-a2a3-78dd21eb5f6d · outbound

This paper cites Genie 2: A large- scale foundation world model.

Back to the Features: DINO as a Foundation for Video World Models Genie 2: A large- scale foundation world model

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.997168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4adec688-ce17-42ab-b3d9-c6d341f9820c · outbound

This paper cites VaViM and VaVAM: Autonomous Driving through Video Generative Modeling.

Back to the Features: DINO as a Foundation for Video World Models VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:19.834310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa81ed9-aa70-491f-b8cb-3ff58afef1fb · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Back to the Features: DINO as a Foundation for Video World Models Cosmos World Foundation Model Platform for Physical AI

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:19.930972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc51d744-670f-40f3-9f11-8694ce637b23 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

Back to the Features: DINO as a Foundation for Video World Models GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:20.014729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb315865-5db7-4819-bc0d-baafc365e7c2 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Back to the Features: DINO as a Foundation for Video World Models Movie Gen: A Cast of Media Foundation Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:20.142280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcbccda0-410e-4d95-a9a9-cb3ab5d0cd5d · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Back to the Features: DINO as a Foundation for Video World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:20.265832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eccd809-ad50-47f5-9447-5aeef1810379 · outbound

This paper cites A path towards autonomous machine intelligence, 2022.

Back to the Features: DINO as a Foundation for Video World Models A path towards autonomous machine intelligence, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.983100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0c234e6-1a2b-4618-9ab2-719c06c4d710 · outbound

This paper cites OpenEQA: Embodied question answering in the era of foundation models.

Back to the Features: DINO as a Foundation for Video World Models OpenEQA: Embodied question answering in the era of foundation models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.967819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e02f184d-7cac-4cfc-81d6-28773b0476c5 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

Back to the Features: DINO as a Foundation for Video World Models Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-06T14:24:20.719121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f3285bb-c00b-4e96-95c8-4a43c1316cd9 · outbound

This paper cites Mastering diverse control tasks through world models.

Back to the Features: DINO as a Foundation for Video World Models Mastering diverse control tasks through world models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.953943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea5e4040-e89c-4eaf-ac5c-274cf314330b · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.

Back to the Features: DINO as a Foundation for Video World Models Diffusion for world modeling: Visual details matter in atari

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.939126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba063c0b-b3c1-41c5-96aa-68cefb1d2837 · outbound

This paper cites TD-MPC2: Scalable, robust world models for continuous control.

Back to the Features: DINO as a Foundation for Video World Models TD-MPC2: Scalable, robust world models for continuous control

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.925431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4db01b73-96d7-4aeb-a5fa-acb017067f80 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

Back to the Features: DINO as a Foundation for Video World Models DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:21.154250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0dde91-6f37-42c5-a384-a85f000ee1a8 · outbound

This paper cites an unresolved cited work.

Back to the Features: DINO as a Foundation for Video World Models Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:21.241933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a54ef5-62be-437b-9dcd-efb08d7d9e91 · outbound

This paper cites DINO-Foresight: Looking into the future with dino.

Back to the Features: DINO as a Foundation for Video World Models DINO-Foresight: Looking into the future with dino

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:21.304379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 016f5174-ad6c-4bcf-a506-bd1506d81b97 · outbound

This paper cites Intuitive physics understanding emerges from self-supervised pretraining on natural videos.

Back to the Features: DINO as a Foundation for Video World Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:21.361886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 654ba3bc-8375-471f-b089-b03401cd4432 · outbound

This paper cites Do generative video models understand physical principles?.

Back to the Features: DINO as a Foundation for Video World Models Do generative video models understand physical principles?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:21.470319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36e28ed2-1d9e-4a14-9032-6cbdc86660a2 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Back to the Features: DINO as a Foundation for Video World Models Dinov2: Learning robust visual features without supervision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.911680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b3052f3-e33d-4d7b-a8ae-1e252b6e5418 · outbound

This paper cites Revisiting feature prediction for learning visual representations from video.

Back to the Features: DINO as a Foundation for Video World Models Revisiting feature prediction for learning visual representations from video

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.896830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c73bb99-2c26-4c60-b9ed-c9a6c6e69886 · outbound

This paper cites an unresolved cited work.

Back to the Features: DINO as a Foundation for Video World Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:24:30.883309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef1d1eb6-988e-4a84-af0c-3f1db23db1bb · outbound

This paper cites Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments.

Back to the Features: DINO as a Foundation for Video World Models Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.869882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26f586b3-8529-437f-89b5-dada133df858 · outbound

This paper cites Goodwin and K.S.

Back to the Features: DINO as a Foundation for Video World Models Goodwin and K.S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.855677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19fc8569-9ab7-4751-8b8e-5d8ac6a8e45d · outbound

This paper cites Lillicrap, Jimmy Ba, and Mohammad Norouzi.

Back to the Features: DINO as a Foundation for Video World Models Lillicrap, Jimmy Ba, and Mohammad Norouzi

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.842316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b706e76-2b7a-4f7d-a657-83b5d9e96710 · outbound

This paper cites Transformers are sample-efficient world models.

Back to the Features: DINO as a Foundation for Video World Models Transformers are sample-efficient world models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.827733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e661078-69cf-4222-95ea-870e109aac45 · outbound

This paper cites Lillicrap, Ian S.

Back to the Features: DINO as a Foundation for Video World Models Lillicrap, Ian S

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.809530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52f6a0c8-1e60-40e8-9650-88639314e742 · outbound

This paper cites Navigation World Models.

Back to the Features: DINO as a Foundation for Video World Models Navigation World Models

Reference 31

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Source-reported events for the cited work

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Observation 0384afb7-0a13-4177-9083-d338d19ed56d · outbound

This paper cites Video pixel networks.

Back to the Features: DINO as a Foundation for Video World Models Video pixel networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.795669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 804d5eee-2073-439a-ba4e-d462db24c9ab · outbound

This paper cites Campbell, and Sergey Levine.

Back to the Features: DINO as a Foundation for Video World Models Campbell, and Sergey Levine

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.781330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44a791d4-8383-43bc-a26a-aa3708502244 · outbound

This paper cites Stochastic video generation with a learned prior.

Back to the Features: DINO as a Foundation for Video World Models Stochastic video generation with a learned prior

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.767071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 565226b3-6805-4451-b262-4fc06a239848 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Back to the Features: DINO as a Foundation for Video World Models VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:23.088610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29563b80-7240-4290-ae59-85480841aacb · outbound

This paper cites Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, and Lu Jiang.

Back to the Features: DINO as a Foundation for Video World Models Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, and Lu Jiang

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.750767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb5284a2-4701-4b36-879f-9bd3700b14a7 · outbound

This paper cites Photorealistic video generation with diffusion models.

Back to the Features: DINO as a Foundation for Video World Models Photorealistic video generation with diffusion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.735696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dce58889-429a-411d-a136-2d6f2ed8005b · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

Back to the Features: DINO as a Foundation for Video World Models Phenaki: Variable length video generation from open domain textual descriptions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.721118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01cadf25-56c1-4351-8f1d-db96fb6ef124 · outbound

This paper cites an unresolved cited work.

Back to the Features: DINO as a Foundation for Video World Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:24:30.706950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c46f61a-997a-47da-8a7d-3af9cf1aa378 · outbound

This paper cites Action-conditional video prediction using deep networks in atari games.

Back to the Features: DINO as a Foundation for Video World Models Action-conditional video prediction using deep networks in atari games

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.693050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b44315c2-8172-4e68-b4ba-9daa4ac01abd · outbound

This paper cites Recurrent environment simulators.

Back to the Features: DINO as a Foundation for Video World Models Recurrent environment simulators

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.679684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c172c475-0d52-44f7-8ffa-e3ec1e963f03 · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

Back to the Features: DINO as a Foundation for Video World Models How Far is Video Generation from World Model: A Physical Law Perspective

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:23.915976Z

Source-reported events for the cited work

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Observation 9fe1ac1d-86aa-4c3b-81bb-e7701028d066 · outbound

This paper cites Predicting deeper into the future of semantic segmentation.

Back to the Features: DINO as a Foundation for Video World Models Predicting deeper into the future of semantic segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.665757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eb57702-7e8d-4226-b2fe-eb621e331a5e · outbound

This paper cites Segmenting the future.

Back to the Features: DINO as a Foundation for Video World Models Segmenting the future

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.652445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68260170-b9e6-4000-b060-9342b2c4ff86 · outbound

This paper cites Predicting future instance segmentation by forecasting convolutional features.

Back to the Features: DINO as a Foundation for Video World Models Predicting future instance segmentation by forecasting convolutional features

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.638948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2628495f-951c-4f04-a059-b058736068da · outbound

This paper cites Anticipating visual representations from unlabeled video.

Back to the Features: DINO as a Foundation for Video World Models Anticipating visual representations from unlabeled video

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.624286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a016a948-361f-4659-a82a-eeae9b4a274c · outbound

This paper cites Anticipative video transformer.

Back to the Features: DINO as a Foundation for Video World Models Anticipative video transformer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.609549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9148fbf3-2de1-40ca-889d-cee7904f7a5c · outbound

This paper cites Anticipative feature fusion transformer for multi-modal action anticipation.

Back to the Features: DINO as a Foundation for Video World Models Anticipative feature fusion transformer for multi-modal action anticipation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.594484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eaf442db-a459-40d0-89ac-26a65676b1cd · outbound

This paper cites Auto-encoding variational bayes.

Back to the Features: DINO as a Foundation for Video World Models Auto-encoding variational bayes

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.580519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c738cca5-7455-441b-87b1-54eefcf11fe9 · outbound

This paper cites Neural discrete representation learning.

Back to the Features: DINO as a Foundation for Video World Models Neural discrete representation learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.566076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a6acc1d8-ba77-4c9d-8a94-b5d7dc414d3a · outbound

This paper cites Siglip 2: Multilingual vision-language encoders with improved semantic understanding, localization, and dense features, 2025.

Back to the Features: DINO as a Foundation for Video World Models Siglip 2: Multilingual vision-language encoders with improved semantic understanding, localization, and dense features, 2025

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.551500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8227ae9-e0dd-4a69-8b53-caeaff8f0025 · outbound

This paper cites Is sora a world simulator? a comprehensive survey on general world models and beyond.

Back to the Features: DINO as a Foundation for Video World Models Is sora a world simulator? a comprehensive survey on general world models and beyond

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:25.211077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39511b93-9ee4-443d-897b-b0109e6079c5 · outbound

This paper cites Attention is all you need.

Back to the Features: DINO as a Foundation for Video World Models Attention is all you need

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.537053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eed14a7d-ab82-4edb-9878-e52b80edcad6 · outbound

This paper cites Rethinking patch dependence for masked autoencoders.

Back to the Features: DINO as a Foundation for Video World Models Rethinking patch dependence for masked autoencoders

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.523486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ac9ebb9-dc8c-4d04-b230-e64a4fec428b · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Back to the Features: DINO as a Foundation for Video World Models Roformer: Enhanced transformer with rotary position embedding

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.509534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68af77d5-c39d-42b9-b83f-16f835a1cf8b · outbound

This paper cites Vision transformers need registers.

Back to the Features: DINO as a Foundation for Video World Models Vision transformers need registers

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.495017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4f855f6-375b-4026-a3b6-823c7d425163 · outbound

This paper cites Decoupled weight decay regularization.

Back to the Features: DINO as a Foundation for Video World Models Decoupled weight decay regularization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.480014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a06719da-5e2a-4bf3-a51a-6c7ebfa765ac · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Back to the Features: DINO as a Foundation for Video World Models The cityscapes dataset for semantic urban scene understanding

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.464341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 976a6f12-4538-489b-b861-bb5e2580d606 · outbound

This paper cites something something.

Back to the Features: DINO as a Foundation for Video World Models something something

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.405943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 286aa182-e8f9-43dd-a393-f26013f487e0 · outbound

This paper cites HowTo100M: Learning a text-video embedding by watching hundred million narrated video clips.

Back to the Features: DINO as a Foundation for Video World Models HowTo100M: Learning a text-video embedding by watching hundred million narrated video clips

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:30.143267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4333be0b-3730-4a2a-83f7-8fb509f8e3f5 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Back to the Features: DINO as a Foundation for Video World Models The Kinetics Human Action Video Dataset

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:26.303259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9f5bbd-1ed7-4973-98be-02026336fcce · outbound

This paper cites Vspw: A large-scale dataset for video scene parsing in the wild.

Back to the Features: DINO as a Foundation for Video World Models Vspw: A large-scale dataset for video scene parsing in the wild

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:29.977033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c5d6f065-3eca-452f-8ff1-22224bcd48fb · outbound

This paper cites Vision meets robotics: The kitti dataset.

Back to the Features: DINO as a Foundation for Video World Models Vision meets robotics: The kitti dataset

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:29.765314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f433dafc-05c4-462c-8ddb-ff829a673852 · outbound

This paper cites Intphys 2019: A benchmark for visual intuitive physics understanding.

Back to the Features: DINO as a Foundation for Video World Models Intphys 2019: A benchmark for visual intuitive physics understanding

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:29.528079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ac9a11d-82c4-4829-bb97-74c685065b4c · outbound

This paper cites Grasp: A novel benchmark for evaluating language grounding and situated physics understanding in multimodal language models.

Back to the Features: DINO as a Foundation for Video World Models Grasp: A novel benchmark for evaluating language grounding and situated physics understanding in multimodal language models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:29.215945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c268f0f6-7bb6-43a1-9e2d-9435c87e56a4 · outbound

This paper cites Benchmarking progress to infant-level physical reasoning in AI.

Back to the Features: DINO as a Foundation for Video World Models Benchmarking progress to infant-level physical reasoning in AI

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:28.996247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1740f303-981d-4def-b921-67142f76e457 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Back to the Features: DINO as a Foundation for Video World Models Scaling rectified flow transformers for high-resolution image synthesis

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:28.842843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1c76065-4ee6-4099-a90b-120c29683baf · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Back to the Features: DINO as a Foundation for Video World Models Diffusion policy: Visuomotor policy learning via action diffusion

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:28.524596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2fa7a46-05c6-4f23-94ad-e2e3f5929667 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Back to the Features: DINO as a Foundation for Video World Models D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:27.292378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90779470-eb7c-4758-bf85-4ec3483610a5 · outbound

This paper cites frameskip.

Back to the Features: DINO as a Foundation for Video World Models frameskip

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:24:28.242547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 45352b30-b791-45f5-99dd-c580d9001316 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI Back to the Features: DINO as a Foundation for Video World Models

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:50.711030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6990b1c1-0b58-4d1d-bea8-3cf3c3357260 · inbound

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? cites this paper.

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? Back to the Features: DINO as a Foundation for Video World Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:34:15.048528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d0f6416-88ae-45fd-90ad-13e7e65f9fc5 · inbound

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction cites this paper.

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction Back to the Features: DINO as a Foundation for Video World Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:45:58.662898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c622365f-1f1e-4c0b-86fa-1a3eabadefd5 · inbound

Learning Long-term Motion Embeddings for Efficient Kinematics Generation cites this paper.

Learning Long-term Motion Embeddings for Efficient Kinematics Generation Back to the Features: DINO as a Foundation for Video World Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:05.038995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff25bd88-1c4c-4954-a78c-2a65cc27c661 · inbound

Video Generation with Predictive Latents cites this paper.

Video Generation with Predictive Latents Back to the Features: DINO as a Foundation for Video World Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:09.276917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d292a4f-e3b0-4ca5-8273-791a8fff967f · inbound

Text-Conditional JEPA for Learning Semantically Rich Visual Representations cites this paper.

Text-Conditional JEPA for Learning Semantically Rich Visual Representations Back to the Features: DINO as a Foundation for Video World Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:51:30.617299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbfa1ba5-dd6c-4464-80fa-3e540fd130ff · inbound

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models cites this paper.

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models Back to the Features: DINO as a Foundation for Video World Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:56:07.075706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4db30d88-b06a-4425-b9c8-8c25c42dd8a0 · inbound

Learning Visual Feature-Based World Models via Residual Latent Action cites this paper.

Learning Visual Feature-Based World Models via Residual Latent Action Back to the Features: DINO as a Foundation for Video World Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:51.976743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation daa4d663-5748-4cd1-bb00-e70f719cbccc · inbound

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations cites this paper.

Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations Back to the Features: DINO as a Foundation for Video World Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:04:00.631958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae265a73-b4f7-4c7b-b72d-bfb4a17d3ea0 · inbound

Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving cites this paper.

Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving Back to the Features: DINO as a Foundation for Video World Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:36.945597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb059efd-1c82-45a5-bb56-67e876b71806 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Back to the Features: DINO as a Foundation for Video World Models

Reference 214

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:58:02.812991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c07cf121-1c4a-42a8-8068-55d7b3522e2e · inbound

Future Dynamic 3D Reconstruction: A 3D World Model with Disentangled Ego-Motion cites this paper.

Future Dynamic 3D Reconstruction: A 3D World Model with Disentangled Ego-Motion Back to the Features: DINO as a Foundation for Video World Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:55.748766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c8089d9-01b6-4a7d-bfb3-f439e3855bb7 · inbound

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling cites this paper.

Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Back to the Features: DINO as a Foundation for Video World Models

Reference 117

Resolution: unresolved; no resolver link, observed 2026-07-11T19:24:48.899301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 645df39c-c401-4de0-81ef-3b53daab1ac7 · inbound

Self-Supervised Learning of Structured Dynamics from Videos cites this paper.

Self-Supervised Learning of Structured Dynamics from Videos Back to the Features: DINO as a Foundation for Video World Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T07:07:42.787898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a7fb7f-ec3d-455c-afbc-2c92c56a6548 · inbound

Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World Modeling cites this paper.

Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World Modeling Back to the Features: DINO as a Foundation for Video World Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T06:34:04.062862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291abc56-8acb-4515-949a-231de4f18a6e · inbound

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation cites this paper.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Back to the Features: DINO as a Foundation for Video World Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T07:37:52.354911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e666f9c-e272-4158-ab78-ad6e6b9fe3e9 · inbound

Uncertainty-Aware World Model for Aerial Image-Goal Navigation cites this paper.

Uncertainty-Aware World Model for Aerial Image-Goal Navigation Back to the Features: DINO as a Foundation for Video World Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T05:52:17.229060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352b986b-b00f-4e1c-950a-b0af7760ac81 · inbound

UniJEPA: A Unified Joint-Embedding Predictive Architecture for Task-Agnostic Visual World Modeling cites this paper.

UniJEPA: A Unified Joint-Embedding Predictive Architecture for Task-Agnostic Visual World Modeling Back to the Features: DINO as a Foundation for Video World Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T05:06:02.500245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49d4b57-609f-4f4a-bc96-a628a10630a8 · inbound

Latent World Models with Monotone Planning Costs for Image-Goal Navigation cites this paper.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Back to the Features: DINO as a Foundation for Video World Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:13:32.849963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.