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Paper Citation Record · LEDGER

DreamWAM: Beyond RGB Future Prediction for World Action Models

As of 14 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 2026-08-13T06:32:02.005865+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=sha256:063237cd702aff02d1fd423969804c254593b4e33bc2777fa48aa7cb056ec3ee

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:ddf36b3ecca47f132980faa0235b2416e065801ecf8b30cc7101287dd0872687

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=sha256:321a9c7ac3d5a66c333fcd5054cfc48d91b7cdda5a591cc61287bda1fb46b799

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:e4c848406de5e0c46786d7285a02655f70f659c7bfe740c40883f066fbe366b0

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=sha256:9b67e7c87f4e2611936ec166942424bbbd7f5dea0ecf56830f328b8a029bc5fd

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=sha256:85abaec2d45cec2a0466066dd43fad6326403f27c331bbfa3bfe620f272d71b7

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=sha256:0435e7a72cbab58da7364121670e96cb22347a24e65e78bf7434e583972df885

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=sha256:92c6c53b2b1621592ae78b50aecfd6df3abaf6e16cd50280885aebd19e3b8918

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=sha256:82231a5fe96ef33b4f51eca203cbab1f9b1995a680f70c921c253bf9e96bccac

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:dc6c70943873cc4b042458299abf7d43f6205194295a655cf5b9ac2d00779e15

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=sha256:0b0239c4f1e8cbdc2db50e459d2ead2287777a395d99f23cb36ac1041f15f0a4

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=sha256:9f371f0d159dbf0ac10efc93ee93018d42ffadf34725671efe0fb2ae6a7dedd0

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:e907b7f08795eef0f6c4837ef5e6d4e80aa8aa442af6572ad678a8a13f3d22ba

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=sha256:61c22ab6affd2fc4242a8b0e431d3d0a51b7afde9194802a038764939a68a03d

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=sha256:5f4bee94999498666848429793b2112ff1282acefa5003be2399138e1911bed9

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:da87e9d2b9d10edcf15b72d6541c5aa292bdd66f736ac20421a0c76468f4f86f

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:a9448019ca4bf025f98b420ce937c3b0afcd1ebd806a8973c6a32cc4f46f2b3a

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:beca70a6c40d8f9f5ae43c0a62465279da29e1cc498f68178ae60575611712a6

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=sha256:75c6ddb96378e30ef171f1aab4158bf73efef6223eaf8b6cf726d1ba6342b7d8

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:d2c461ff0390ca2738b56f568fd4500f34c4d16ca37fcfb9c33c77eb38a3ca81

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=sha256:4a912bd0c45ea5683e7b61b722a50e70ee6b5664d22777407638eb3d92152de9

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=sha256:06f40d0d4b7809a8f9c009efab35969128f9999ad0441068733a21498ec8f080

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:bb63f9daa05a2bacb9d7275fc32145ad7305f3bf1b8c046cb497c798e8987573

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:e5cd1a0589742ac535f4b0c797db4f6cd155f27a27368834c12bed607160f0bf

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=sha256:8128dafd5bd82c79d4db4b2c70734d509f6b16b8da38d7ed80805b367f383687

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:a5387416b9fc2a1d8cdbe49fc4c7ed809d71a679e27925769b3b2151e5e22740

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:a6f54778c76af72fdf79b91dc879d767b141e22a35af57a880848ac2288cb422

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=sha256:543b8c57a928f4cee937fc4ed5d1eef2369b1b771480460d7483a062e14f40c8

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:ec3e8ba326fb07e93cc279901ff3672eeffe9237e421ef1f64d0a2e5ae0ddff6

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:feb7c05d86ebd3c3b2794ac56b52c4602bb477b8e1a13a47544cc926eafe7de3

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T11:59:28.007412Z digest=sha256:ed26821792addb122cfe013bde0b33eb5a09f6614962305dabc353234e2fc6f3

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:b435ada3ce7eded3c026f3c6eab5dce3698a80f0171b5bcc404c31c8f230ac3a

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:ab3ee766dfc5878be01e077a41c3b61c79f26a2831ec79ba75801d23ac97fe30

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:baae32f1f2d3ad56425b1d40622cf6636ecd9926293fa575cc46ea7df84ffe84

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=sha256:948b8bb0fb0f2773a66b42b8bdf0427f60b9621b0f5fb40e0d3c2e6b765a4c54

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:e85d48964ebcdff4af792aedf4411c05f875f403e2b4e59ecb39a09aa1819493

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=sha256:3b104e6ca832bbf37a9dd5e734b2ead2d7cb598fd12bde1a7299c39e2a26d465

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=sha256:82539c6df8b57f62819b510652392f47ed4af8006f4d6533807e048131850ce4

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=sha256:051f2601b8a03eb1c8708670a884d14e1deb48c483786bcf310892f0f01d70ff

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=sha256:9f451c7d6383eb11a83fbd864aa6fa835d43b49caac6719e99571c448c7e1c3d

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:dd94cc31e36c60beebc6807be3e574834796c93938b4f7dd3a456dd3d27ad1f2

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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no resolver link, observed 2026-08-06T11:59:28.086599Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.086599Z digest=sha256:6411aaf9d5678196235ee23989eb88f0cc5f0871d3c0418cba9b06370406ce6b

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=sha256:0dfc01533344da4b7ae076a59a600adceff91037184bbd77b8973f7bb4f28053

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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no resolver link, observed 2026-08-06T11:59:28.125004Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.125004Z digest=sha256:6be331a8c77257b129cd996ed79c7994c6e04ddf96cc0311e93150d3f6ab884d

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.149079Z digest=sha256:555acd6a37d29f9e51904887d3c55db52f69f861307c7ad8ac5eb0f03e0b1603

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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no resolver link, observed 2026-08-06T11:59:28.152150Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.152150Z digest=sha256:6c4216b2254be453c3559b60f84f72b7eeb97739ccb23e0df94632261c90faa5

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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no resolver link, observed 2026-08-06T11:59:28.154987Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T11:59:28.154987Z digest=sha256:b4ea44a95564087ecf51ecee0b18cb4e74152b4ff8c06a2fddbd14922bf53a76

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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no resolver link, observed 2026-08-06T11:59:28.157857Z

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source=arxiv_source observed=2026-08-06T11:59:28.157857Z digest=sha256:bb33c4eeaf3dc17b8e207e67322607ec79307cf8b0ad7b0c3436f62d5b739473

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=arxiv_source observed=2026-08-06T11:59:28.160748Z digest=sha256:f45cdab2692792806b54953c90f98694556b2711db0e26ea9bb14fb99838ded3

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:b92d7776ab2257bb23c48dac9a02d77c9c4d290393d15a571b2d486fb09aa22c

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=sha256:4ce4bf0a4438ef55e47e2dba6cccc358a377510a828f149eb699863c51c54d20

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=sha256:164e471efe7a6707276cbcc2088063f7a462e0a7402cb078215f16c67284be2e

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=sha256:5925acf266c998d69d87ec92d852adc518eb15bdbd1564d2f8ba086633b04968

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=sha256:128b020f4142338c550881c51c5510a4013b5d367b44f95d82a7d7baf8008f6a

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=arxiv_source observed=2026-08-06T11:59:28.176050Z digest=sha256:0f4e3b51d1c340c9574e7b16f6e73ba78d87320cb94fe0624292cc72ca3a7b21

Pith citing papers

No inbound Pith citation observations are available.