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Paper Citation Record · LEDGER

DreamWAM: Beyond RGB Future Prediction for World Action Models

As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.04996.

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

pith.paper-citation-record.v1
2608.04996 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:59:28.176050Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 349b7474-1876-4536-813b-ba85cdef8772 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

DreamWAM: Beyond RGB Future Prediction for World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 1

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source=arxiv_source observed=2026-08-06T11:59:27.924099Z digest=sha256:3748c8b27ebc7c77aea52847aa942bd44a95113be1fa38d670f05b2678d0b784

Observation 6e8d2c42-dac2-42f6-84e5-dd34194ec02e · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models WorldVLA: Towards Autoregressive Action World Model

Reference 2

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source=arxiv_source observed=2026-08-06T11:59:27.927472Z digest=sha256:335ad30efc52da9d07813b189fe80611c3aee55d2a3a8c439772aa52ebf3cdb5

Observation fec478f5-1874-4055-9d9d-12a6b8206766 · outbound

This paper cites Motus: A Unified Latent Action World Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models Motus: A Unified Latent Action World Model

Reference 3

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source=arxiv_source observed=2026-08-06T11:59:27.930502Z digest=sha256:35e73a5be40458e49e2dfa60839dc05b9b102405f3b7f72e5a822763467cccc0

Observation eb3d5f58-2c8a-43b0-a17d-7433f50e1fcf · outbound

This paper cites Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising.

DreamWAM: Beyond RGB Future Prediction for World Action Models Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Reference 4

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source=arxiv_source observed=2026-08-06T11:59:27.933466Z digest=sha256:6d9e2d0d696df050751bc9ec8888b66f2a8c4223137597fab7cff5675000710d

Observation 0722d4c7-d541-490d-b5ec-1b42ebd2c7d2 · outbound

This paper cites Causal World Modeling for Robot Control.

DreamWAM: Beyond RGB Future Prediction for World Action Models Causal World Modeling for Robot Control

Reference 5

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source=arxiv_source observed=2026-08-06T11:59:27.936287Z digest=sha256:3269e2b3535a9bf762cf7b9cf94dfb6167540f15ee4c56a8b7505f48aa8ff9cd

Observation ea8658ba-0d32-45b6-871b-340b39faf206 · outbound

This paper cites GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch.

DreamWAM: Beyond RGB Future Prediction for World Action Models GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch

Reference 6

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source=arxiv_source observed=2026-08-06T11:59:27.939168Z digest=sha256:a89b2b2d09751a3c294c3de0e131c009d2ce5969f0c609acd32b0b49ca001b07

Observation 1a27b0d6-d3e0-4dd7-8b07-5584615e6f89 · outbound

This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving.

DreamWAM: Beyond RGB Future Prediction for World Action Models DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 7

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source=arxiv_source observed=2026-08-06T11:59:27.942236Z digest=sha256:974b92ea3cc6aae161b786b27810992298617b736ae4d0cab9f83bcd37178a16

Observation 269cff1d-a1e9-4105-a3ff-0a569633c658 · outbound

This paper cites SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer.

DreamWAM: Beyond RGB Future Prediction for World Action Models SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

Reference 8

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source=arxiv_source observed=2026-08-06T11:59:27.945324Z digest=sha256:e62b158b537e7f9468a3dd6656d049c919270f878d77b1525b26d291a2d02343

Observation ae0b8ad0-fb38-4fb3-b6bb-65d5f1650054 · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

DreamWAM: Beyond RGB Future Prediction for World Action Models Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 9

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source=arxiv_source observed=2026-08-06T11:59:27.948270Z digest=sha256:6e3f45a32c62dda1a30775b023fb2ca0f9670cfc47f6f009b2d1d85e86668565

Observation df4479c5-7d5d-4a12-88db-728569ebce45 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 10

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:27.950873Z digest=sha256:c699a9ddbdf772bf9e2b548f97e8faa2d29cae6ada0d6910610b85e34c243762

Observation 59b4ad76-093b-48eb-b39d-37f94da3fc6a · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

DreamWAM: Beyond RGB Future Prediction for World Action Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 11

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source=arxiv_source observed=2026-08-06T11:59:27.953650Z digest=sha256:9f322a74a26cbb88684a5eea027c1ad4f33f7112822293dee1b5a61abd27c73b

Observation 14732903-8965-4091-af54-ec7025440a39 · outbound

This paper cites Conference on Robot Learning , pages=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Conference on Robot Learning , pages=

Reference 12

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source=arxiv_source observed=2026-08-06T11:59:27.956241Z digest=sha256:9d3bbfcf05acf1beca710dea11df316b315b28e0384ae9017f2a7dcfe10cc9db

Observation 4b3f5218-7955-4474-a9d0-1e53ad0f7ecd · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

DreamWAM: Beyond RGB Future Prediction for World Action Models Octo: An Open-Source Generalist Robot Policy

Reference 13

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source=arxiv_source observed=2026-08-06T11:59:27.959101Z digest=sha256:f50865f4edd317032509f40421cb4efa05228f1c4386fe5fd927518375cc0c6b

Observation adcfcf02-2550-4722-a62f-cc67bd48f804 · outbound

This paper cites MotionVLA: Injecting Geometric Motion into Vision-Language-Action Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models MotionVLA: Injecting Geometric Motion into Vision-Language-Action Model

Reference 14

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source=arxiv_source observed=2026-08-06T11:59:27.961726Z digest=sha256:c264ff9eed84240ed184a6b99519faa6d191a69e1de903b3598fa5802d91b77f

Observation 73950fe1-e968-4c05-9e45-eef486247fac · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

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source=arxiv_source observed=2026-08-06T11:59:27.964281Z digest=sha256:aaac3b1cc5275d0e435a916a22ff5b5dd27d1cae94d2a99e5ed40ca55d65b850

Observation 9ba2c97c-e9d4-44f2-b974-c29ac515e912 · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

DreamWAM: Beyond RGB Future Prediction for World Action Models UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 16

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source=arxiv_source observed=2026-08-06T11:59:27.967191Z digest=sha256:3a944706641a26bc6f5d55373773fb535ad13da2a75d0f37a97bcded68e2136b

Observation 9b711223-87c9-4bae-9f09-7f83e531a248 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

DreamWAM: Beyond RGB Future Prediction for World Action Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 17

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source=arxiv_source observed=2026-08-06T11:59:27.970489Z digest=sha256:90011b00473d61d5b2938c168a34e024a77663c839d5fa47558832d47b05ae60

Observation 53e87fca-9d14-4fe3-bb27-f5f644b4389c · outbound

This paper cites an unresolved cited work.

DreamWAM: Beyond RGB Future Prediction for World Action Models Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-06T11:59:27.973862Z digest=sha256:c5f892e92584a60549f02581d5382185b5425b5b2776ac7d87a80947bb228621

Observation 39f5e92a-024e-4ebc-a675-34fc6eb99b67 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

DreamWAM: Beyond RGB Future Prediction for World Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 19

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source=arxiv_source observed=2026-08-06T11:59:27.976432Z digest=sha256:81d496c219d81abab80a85e02d8d7572195420d23ef0e9707184f60e90cec1b5

Observation 9729b5b0-2eca-403c-96f6-add7f6347aa3 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

DreamWAM: Beyond RGB Future Prediction for World Action Models FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 20

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source=arxiv_source observed=2026-08-06T11:59:27.979101Z digest=sha256:748bf15e328ec1e60a549bb17622d9cd64df004761c20623f07492d3be1508f9

Observation 42acc6e8-6e7f-456c-9f23-55e914b75a56 · outbound

This paper cites an unresolved cited work.

DreamWAM: Beyond RGB Future Prediction for World Action Models Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-06T11:59:27.981801Z digest=sha256:fd35f6526e7d0c17f916f978432d53ccfbbf5b043db32c76893a0df31aeff731

Observation af806737-ffc3-4880-8aa8-b710d4bd60a7 · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

DreamWAM: Beyond RGB Future Prediction for World Action Models ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Reference 22

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source=arxiv_source observed=2026-08-06T11:59:27.984035Z digest=sha256:635a72a7352abb909f8f845956de421e1c7e5e11dd3a234f12e148cd5aeb5ec7

Observation 072362db-483e-4a48-8ab8-537d395b2911 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Advances in Neural Information Processing Systems , volume=

Reference 23

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source=arxiv_source observed=2026-08-06T11:59:27.986976Z digest=sha256:df6cad9bc2a3937b01fdfa539f276cfebe01dc53c78bcc856788c6e36af3ac23

Observation 03a5a5af-0db4-41eb-9e59-25ca39606d81 · outbound

This paper cites arXiv preprint arXiv:2510.12276 , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models arXiv preprint arXiv:2510.12276 , year=

Reference 24

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source=arxiv_source observed=2026-08-06T11:59:27.989250Z digest=sha256:768c1d24819dde808cc6e9709c6b3e8b41363cf1e09b4a294ccb1896debfd081

Observation 08eb154b-0347-41fc-a166-9131af9607f0 · outbound

This paper cites arXiv preprint arXiv:2510.13375 , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models arXiv preprint arXiv:2510.13375 , year=

Reference 25

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source=arxiv_source observed=2026-08-06T11:59:27.991808Z digest=sha256:ed03a42a998293c0bc4c0131f69b8acaebe1745ee812fba5e0a1b573805df040

Observation 4ea46a74-9f7c-4254-bac6-08496d862c2e · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 26

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source=arxiv_source observed=2026-08-06T11:59:27.994101Z digest=sha256:7570ab9a75d1811be877b7ae4eb2836bd128229bcdbd4c3e7fd9fffab94b84c9

Observation b7df52d0-2bea-422c-a38b-49f06c97be77 · outbound

This paper cites GeoVLA: Empowering 3D Representations in Vision-Language-Action Models.

DreamWAM: Beyond RGB Future Prediction for World Action Models GeoVLA: Empowering 3D Representations in Vision-Language-Action Models

Reference 27

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source=arxiv_source observed=2026-08-06T11:59:27.996941Z digest=sha256:a4c9ede5d4fb8926e112a573dadc44095bdbf093885a1f22702fee8f3235302a

Observation 57806a0b-41ab-45b6-b2e6-1988f0581f96 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models IEEE Robotics and Automation Letters , volume=

Reference 28

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source=arxiv_source observed=2026-08-06T11:59:27.999582Z digest=sha256:a9a21db35bce3a0585178ed0d5678a722ac725735e84016edf6a07e1ab8e0e73

Observation 223409be-ab1b-4df8-bd83-558fa86b442e · outbound

This paper cites arXiv preprint arXiv:2603.00466 , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models arXiv preprint arXiv:2603.00466 , year=

Reference 29

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source=arxiv_source observed=2026-08-06T11:59:28.002431Z digest=sha256:f8ecb7f307637de916f8582d2c8c810572bd83ab309571cfb7df3bc563736cc1

Observation be199bd7-a337-4f11-a865-fa77c59a3271 · outbound

This paper cites VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models.

DreamWAM: Beyond RGB Future Prediction for World Action Models VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Reference 30

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source=arxiv_source observed=2026-08-06T11:59:28.004817Z digest=sha256:2da0c8b30c1332832d30a4a1175d2dab148ad3ddcd2d34520d51a623840c155a

Observation 1c4f71fc-aed3-40ff-a03b-ed21882b5310 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Advances in Neural Information Processing Systems , volume=

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T11:59:28.007412Z digest=sha256:c074a1ea023c20ad9404660b61337c62e1e12cb3dfd6e35ae885d902d4c04b6b

Observation 8c6ddd3a-5b50-4750-89d6-9c3a0c2dd22a · outbound

This paper cites World Action Models are Zero-shot Policies.

DreamWAM: Beyond RGB Future Prediction for World Action Models World Action Models are Zero-shot Policies

Reference 32

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source=arxiv_source observed=2026-08-06T11:59:28.009695Z digest=sha256:8f9ca04ee584e7a0c01b622a10c9f98ace0e46d6dcbd669d6171849be4f275f1

Observation f9c1168e-e63f-4e71-aa67-19ff84f54f2d · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

DreamWAM: Beyond RGB Future Prediction for World Action Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 33

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source=arxiv_source observed=2026-08-06T11:59:28.012388Z digest=sha256:53010067686e99b6b6b288e6568f25c12b3b3340be80a56a21ecced06cc698a5

Observation fe49fbe1-1e27-442a-92a0-79f3131c52e7 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

DreamWAM: Beyond RGB Future Prediction for World Action Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 34

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source=arxiv_source observed=2026-08-06T11:59:28.014913Z digest=sha256:1d606cb4446215ed9d32aabb5f3fd20bac6db91618eb86598f2e56e432907875

Observation fc6cf896-24bf-48e7-8994-dbd725c8a5c8 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 35

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source=arxiv_source observed=2026-08-06T11:59:28.017508Z digest=sha256:4ac489ed8415a54d3cb697d4e4f30bdaa4637b7b441013cf7c5618bdad018b3a

Observation 64c93299-25a2-4bfe-a77d-25c04149d9ea · outbound

This paper cites arXiv preprint arXiv:2601.03782 , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models arXiv preprint arXiv:2601.03782 , year=

Reference 36

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source=arxiv_source observed=2026-08-06T11:59:28.020106Z digest=sha256:e82ecabd1ed804cba27687b1eb1618a62f5ee390ef004fb8baed9cc984508c34

Observation 7b4da607-f483-49d6-a7e4-e5a12f5a7e77 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

DreamWAM: Beyond RGB Future Prediction for World Action Models CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 37

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source=arxiv_source observed=2026-08-06T11:59:28.022493Z digest=sha256:5afd60fce1cd07e9fb53c0610da2ccb5a4fb129046b29b5c7009636641210efe

Observation f01ce99b-c333-4dcf-ab35-c2465cfd93c7 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

DreamWAM: Beyond RGB Future Prediction for World Action Models SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 38

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source=arxiv_source observed=2026-08-06T11:59:28.025058Z digest=sha256:fcb9eadd2655c921731a51416c04e220db81fb4695f0b22c6672d9ad7521491c

Observation cf1e7798-3028-4b35-a0a6-2222088f264d · outbound

This paper cites arXiv preprint arXiv:2602.09849 , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models arXiv preprint arXiv:2602.09849 , year=

Reference 39

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.029136Z digest=sha256:b7b87f65344330a9203d9fcf114de47dad1a87079b3c6d4bb46670254f6fc5b8

Observation 3758e7fa-53e6-43e5-a358-87b44c92efc1 · outbound

This paper cites A Pragmatic VLA Foundation Model.

DreamWAM: Beyond RGB Future Prediction for World Action Models A Pragmatic VLA Foundation Model

Reference 40

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no resolver link, observed 2026-08-06T11:59:28.043138Z

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source=arxiv_source observed=2026-08-06T11:59:28.043138Z digest=sha256:ff22755368dfa892b9483bd1c3b38563fabaa70da38e1335b6af68aacc420d87

Observation 88d19478-b5a7-4704-b011-577faf117883 · outbound

This paper cites Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments.

DreamWAM: Beyond RGB Future Prediction for World Action Models Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

Reference 41

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no resolver link, observed 2026-08-06T11:59:28.066566Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.066566Z digest=sha256:178960e0068d093995f5ddffb280efab0537238368e223bbddd95551e84f1bdc

Observation 37fbf687-49ca-42e5-8ed6-cfd99f906024 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 42

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source=arxiv_source observed=2026-08-06T11:59:28.086599Z digest=sha256:bc86b916b772e81f3e6085c2b68f39a58be5e2ef92199fe3777756374287e58f

Observation 2960e5b1-ccbf-466f-bc41-33d78c3e3f3b · outbound

This paper cites Advances in neural information processing systems , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Advances in neural information processing systems , volume=

Reference 43

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no resolver link, observed 2026-08-06T11:59:28.104136Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.104136Z digest=sha256:605f1d005b308eb5b30ce87d33360b8057a4591501e446a2ab85e7537e1e5267

Observation 76ba7be3-3e53-48ec-b549-ab3c1a06c5d7 · outbound

This paper cites arXiv preprint arXiv:2602.10098 , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models arXiv preprint arXiv:2602.10098 , year=

Reference 44

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.125004Z digest=sha256:c077ed318060ddfa774161f293a833578f8bf8e3071ed079ffd430b12ea3bb41

Observation 5d39e72b-a378-4806-8d20-5d7c82034cbb · outbound

This paper cites World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems.

DreamWAM: Beyond RGB Future Prediction for World Action Models World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems

Reference 45

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no resolver link, observed 2026-08-06T11:59:28.149079Z

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source=arxiv_source observed=2026-08-06T11:59:28.149079Z digest=sha256:d926f359c9b6e6d367783dc3058f935cf4f1e6a8790fc421cda4df3517399986

Observation eb4d346e-90e1-4e38-a40c-0d1ef87de334 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Advances in Neural Information Processing Systems , volume=

Reference 46

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.152150Z digest=sha256:14e512f4fcfd7d676355d00df53cb524843e7deb9bf5a95bbe1102d796b1a66a

Observation 4ebf7cc6-55e8-421d-a150-095661edff97 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Advances in Neural Information Processing Systems , volume=

Reference 47

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.154987Z digest=sha256:53a9783387169c008862463b9e58098b26196192940ae47adb25528c55ef8cbf

Observation eb41739a-d234-4028-8f48-4db5a6afbf19 · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

DreamWAM: Beyond RGB Future Prediction for World Action Models LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 48

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source=arxiv_source observed=2026-08-06T11:59:28.157857Z digest=sha256:0845dcd7a4561426c4825a35a2038e87aa53a59bc6f741f50b67df884cd871bf

Observation af9beb80-efb9-492a-9953-9f36e54bfc84 · outbound

This paper cites European conference on computer vision , pages=.

DreamWAM: Beyond RGB Future Prediction for World Action Models European conference on computer vision , pages=

Reference 49

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.160748Z digest=sha256:1ec2a4e39c594419a76cae1dac9a7b41dc0fee264a2d5bf5eff0fd2167bdd444

Observation 4a3c2dbd-3c38-419a-bda3-49aa3dc3fd26 · outbound

This paper cites Transactions on Machine Learning Research Journal , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models Transactions on Machine Learning Research Journal , year=

Reference 50

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.163583Z digest=sha256:7326cf9e81f0ab52d29d92df174f8ed8ff1c5a92d03f81fe00edf5555d5a38ec

Observation 52ba659b-23b2-49e4-b54c-353e1c66ae3a · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

DreamWAM: Beyond RGB Future Prediction for World Action Models Depth Anything 3: Recovering the Visual Space from Any Views

Reference 51

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source=arxiv_source observed=2026-08-06T11:59:28.166186Z digest=sha256:9640c81e49fc3f13d16225f05443270c015e92e95f004381e6fc924c2b5fda9a

Observation d15f438c-0c1c-4847-909f-3db010846170 · outbound

This paper cites The eleventh international conference on learning representations , year=.

DreamWAM: Beyond RGB Future Prediction for World Action Models The eleventh international conference on learning representations , year=

Reference 52

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source=arxiv_source observed=2026-08-06T11:59:28.168957Z digest=sha256:1df3c7134858d8ab1a44d7a78e2f6b6276e81934929c03393a3e55c53f666330

Observation a253e39f-5123-439d-a0a1-9739baa2c4a4 · outbound

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

DreamWAM: Beyond RGB Future Prediction for World Action Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 53

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source=arxiv_source observed=2026-08-06T11:59:28.171196Z digest=sha256:22d117c9d6eda735561baf2f6320b2173cd3dac7779b26f11178473903bffd13

Observation 85c10b39-ce12-4265-befc-e66b0d208e0b · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

DreamWAM: Beyond RGB Future Prediction for World Action Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 54

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source=arxiv_source observed=2026-08-06T11:59:28.173683Z digest=sha256:0379c8fd6e085b71f9dfcfd117ee285dd70c482a2452dba43009a744a160797f

Observation d06083b8-33cf-4736-8761-04016e175472 · outbound

This paper cites generation: Taming optimization dilemma in latent diffusion models , author=.

DreamWAM: Beyond RGB Future Prediction for World Action Models generation: Taming optimization dilemma in latent diffusion models , author=

Reference 55

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.176050Z digest=sha256:a332b58d33f60c57a7503ebf73e57314c8c6b155eca19974a39c3bb0839e5c9c

Pith citing papers

No inbound Pith citation observations are available.