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Paper Citation Record · LEDGER

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence

As of 17 August 2026, this Paper Citation Record lists 100 of 298 outbound references and 1 inbound Pith citation observation for arXiv:2607.11689.

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

pith.paper-citation-record.v1
2607.11689 v1

Coverage vector

measured 100 of 298 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:51:24.547781Z

measured 101 of 101 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:49:58.932762Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 298 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b312b1a-7edd-427a-93aa-c5924ccbfc35 · outbound

This paper cites arXiv preprint arXiv:2511.18919 , year =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence arXiv preprint arXiv:2511.18919 , year =

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:a84d91ed93a450d3e274be39ee4540f81782f6c43cb08aa7c98137218a279c64

Observation 9764296e-9010-49c6-8fd6-78775f86a3a6 · outbound

This paper cites Seeing What Matters: Visual Preference Policy Optimization for Visual Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Seeing What Matters: Visual Preference Policy Optimization for Visual Generation

Reference 2

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:14bf604f9d7bb7a0157de6842dc86fc8232c7a3f174ae513a2b771fde10f2177

Observation 99a576e1-83b4-4fbe-9e16-dee8e717375e · outbound

This paper cites arXiv preprint arXiv:2511.19356 , year =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence arXiv preprint arXiv:2511.19356 , year =

Reference 3

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:1ae811841d34002a9317c3eab7c2c5267b474a4c515aa203670ce18022f295b4

Observation ff474d13-067c-485f-868c-f54c0d566ee3 · outbound

This paper cites Ray: A Distributed Framework for Emerging AI Applications.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Ray: A Distributed Framework for Emerging AI Applications

Reference 4

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:700255bb7ce88389b2cade0218decd003b6b88bbc27b6cedff2793515429cac6

Observation 2677f526-0428-4c60-a971-c25d558fb143 · outbound

This paper cites ACM SIGGRAPH 2024 Conference Papers , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence ACM SIGGRAPH 2024 Conference Papers , year=

Reference 5

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:06ce8d59080955c3fd5dbb8cbc42200692f99fa37a402e688907a60a1f6ef50c

Observation d546a1e5-7c1b-4ddf-8b3b-d40212676eb0 · outbound

This paper cites I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength

Reference 7

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:aafc7e4c4fe313bd7e0114b34a703427f2dd86a036c5b3a7d44c6132e985aeed

Observation 8372bb00-bd44-4818-b807-d17462fbfb57 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Advances in Neural Information Processing Systems , year=

Reference 8

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:24860b5d7147df12b4b8381b4a36955581b9b11a181a9b9acc03f3f75bcd394f

Observation 6a0b4294-3609-4582-a563-0c7c464923e2 · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 9

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:fb108b4a1afaa18614cd92407cb3ba62f8e70716f78c1c5c8f9445c449aa611d

Observation 097a2266-3d28-41df-9e10-634c8128e6d2 · outbound

This paper cites Training-free Camera Control for Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Training-free Camera Control for Video Generation

Reference 10

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:5bf099e29e5722ddee4964b79dcc6b23d650e3149decc0690ea02351306449ce

Observation 4064298c-804f-46c0-8e04-6f3f654db6b1 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the Computer Vision and Pattern Recognition Conference , year=

Reference 11

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:523b6347d539cea17b3fea867cec29690f42c4942195d4b1cb3f7f358352cefd

Observation 328798d7-c366-47cc-a66e-fa6b50903b11 · outbound

This paper cites VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Reference 12

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:e1b11d868003a5f5d4a142104f5d67a7a6153076b88a4be99cecd6064e6d4d86

Observation 4e1dec9b-a251-49ce-ac22-3c82bc02401f · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 13

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:267c2afb40ad545b450cd2ff33cf6f7734fe6e347fa3e9a70259d1b1466d0624

Observation 206995e3-fb26-4a27-b9b5-715734bc4b03 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Advances in Neural Information Processing Systems , year=

Reference 14

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:8badba7a8db7ac84b3f4bab93b8448996978e0ff143acba4430889bcc84c0713

Observation 93524fec-c559-4708-9ff7-aa9c6fc4ec48 · outbound

This paper cites Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Reference 15

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:1e5c39e1a3ec4b604e8ea6b697255a29c685fcf4992bf0a9f25716acf89b9aab

Observation 49e68044-2f8e-42af-a640-3f8277553be8 · outbound

This paper cites SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

Reference 16

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:22a31f90a18df57e0f2fb5316e4e90682739c506af0e3cee53a11ebb5f26ccec

Observation 98a61f2e-8c0c-4fbe-b4e6-d5f5e623ed2d · outbound

This paper cites CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models

Reference 17

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:5a844d7c2de14d2701b22f51634246bdb7500061863dbff59331c8609cba3329

Observation 911122f0-f4a2-4b13-b1b1-07e0efeb2845 · outbound

This paper cites ACM SIGGRAPH 2024 Conference Papers , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence ACM SIGGRAPH 2024 Conference Papers , year=

Reference 18

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:bf7c0fbdef90566c0a003a27f10a435d731c34cc2792dc9e9def52a2ed011f65

Observation 9441cac2-bb7f-42d9-92e0-776a3294f65e · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 19

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:0bfff8ca3538e51af1973d084d015409e6c3074606ab6c93c42250124097740a

Observation 1c8b6e40-bd04-4e07-9eba-35d5d24d05bd · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the Computer Vision and Pattern Recognition Conference , year=

Reference 20

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:825c7408cad0f3dc395d5524a025abab3211e5b3ea831a64181d78d70ce68d5b

Observation 5e9b9720-146f-4850-9a68-6c48d9b5d4e3 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 21

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:abb86801a152b22a4f9f008aea424323a8c2bcc6bed0ad4d43dc5194280bb86f

Observation 081beee7-fc62-4ba1-ab22-27c977391c5a · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 22

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:1e7c10523b9aeb4ebfc3dac40868bddbe7bdcfc6fa7890fff8e0bea4a2fb20a8

Observation 4c20f31a-510e-4b22-8ca1-138805d53501 · outbound

This paper cites Boximator: Generating Rich and Controllable Motions for Video Synthesis.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Boximator: Generating Rich and Controllable Motions for Video Synthesis

Reference 23

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:e22b867f198fe301519db00b2d7f4d9fcf452d453734588362a0e27d502be9b1

Observation 6c0d0e38-0f6a-450b-a5f4-3020e106a4eb · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , year=

Reference 24

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:b91df31321cc729501fb25e6e90bcda1490263468ec0711dddfe80637d8babee

Observation d0104956-8ebd-44b4-940b-d89b6a8995bf · outbound

This paper cites FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models

Reference 25

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:98905e138c0e9fd64e8d3636efca1bdf34a6f3a2da4b0a5137518c2041df13f5

Observation 8c3e076a-65f9-494e-b686-9400b46606a9 · outbound

This paper cites arXiv preprint arXiv:2503.16421 , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence arXiv preprint arXiv:2503.16421 , year=

Reference 26

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:da8dc7b9d2c6cb9826f7d56716b3451d1c531534e115bd2283f98143136e91c0

Observation 245ebe7d-1bf0-4fa4-b09a-8f81cd32f5b2 · outbound

This paper cites 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation

Reference 27

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:055aa12f45d255fb77cb3646eee63103326a28d9200d7663269a5e49b01a5642

Observation cdc6d90f-0007-473c-99fe-6a791f316fd2 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the Computer Vision and Pattern Recognition Conference , year=

Reference 28

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:45349623d23bc7bdcd1833126d51943e7ca830179fdc2416d7da124a97cc6ad1

Observation 4b45f3e5-74ba-4243-bf0c-bc5a9733bf2c · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the Computer Vision and Pattern Recognition Conference , year=

Reference 29

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no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:1533c3fbf1d401d0d7d8078320bd0ce45d1c102eb77726ae791b1ac57f9bdcf9

Observation 03986b29-6b55-4268-9b3e-5f336749abb5 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the AAAI Conference on Artificial Intelligence , year=

Reference 30

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:b18887190689e9f9d84e4d1025033977684b788b90c84b0922d4d1c353936c8f

Observation d2fb2523-5f63-41b0-bc2c-466c405d247a · outbound

This paper cites ATI: Any Trajectory Instruction for Controllable Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence ATI: Any Trajectory Instruction for Controllable Video Generation

Reference 31

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:f1de3700eb9064e18db14f43c44216af62e9ea5676ed20ea85b033a234c53e4f

Observation 8ad536bc-e3d7-4102-a8a0-1553a69046a2 · outbound

This paper cites Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation

Reference 32

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:b22cfa8d180bfaefc65b6e68f6debf235fe3319c05a01731a7c194f46629a3de

Observation cf74dc3f-02c2-40ba-9fbd-64756d9ad5da · outbound

This paper cites VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation

Reference 33

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:e02e0c575ba0c9f8cd319464c0a61c610cf82382bb84343d37f1ede4309a502c

Observation a6fc0cc1-b4f7-4a09-9d84-6e8adf0661d9 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence IEEE transactions on pattern analysis and machine intelligence , year=

Reference 34

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:7417025de92b0c3397cd652875699b0f5ddda1618251029bbd99910913a1b447

Observation 872f8f5e-8f59-49dc-bcb0-afc0e3349d27 · outbound

This paper cites $\pi^3$: Permutation-Equivariant Visual Geometry Learning.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence $\pi^3$: Permutation-Equivariant Visual Geometry Learning

Reference 35

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:6ba38f05bce9f9c0b80fbc64e29f758f50741ac7794f875daf9fdd08a4e1f707

Observation 1fbf7549-3717-49e0-b382-aba1a095811c · outbound

This paper cites Qwen2.5-VL Technical Report.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Qwen2.5-VL Technical Report

Reference 36

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:43715cd384f026bd56b47071e7e991261975b85c2807988bb140851396213311

Observation aebde85e-44a5-47cf-96d5-06a60b939666 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the Computer Vision and Pattern Recognition Conference , year=

Reference 37

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:2f8968bd3462903a98f9ec742465be584005dec43c0f7bcf175820678e45276c

Observation 93c3c4af-fa93-4950-8663-cf97b70d5a7d · outbound

This paper cites SpatialTrackerV2: 3D Point Tracking Made Easy.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence SpatialTrackerV2: 3D Point Tracking Made Easy

Reference 39

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:d6ee4538ec5dd527977e59421c6e80ee971c5e9e35b1ded7cb39d35414cae802

Observation 0ba69ac4-8939-447b-afb9-946591723b53 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF International Conference on Computer Vision , year=

Reference 40

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:b89020b83ff238f4271566de5f140b9a45ad5bc0ae2b5e91b6aa455bd7741deb

Observation ebe76688-c86c-4996-99cb-7d04030c5c94 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 41

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:19b003a6ae511ed2e3d3dea7708d60b49abc8a757920f2e7864ac5165083566d

Observation f26a8f91-2e8d-4c2b-b5b0-b2da464e77bd · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 42

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:2a7355039a475fe46a255b1d1ae4162eb377e183efbdf165e257bc86e83f5030

Observation d247da75-bcb5-4ea9-be75-44e5accd651e · outbound

This paper cites Flow Matching for Generative Modeling.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Flow Matching for Generative Modeling

Reference 43

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:031dc59306c14046ae6355c61171b5d13439d4a104077aec6034b4b4bb03f0c8

Observation ccc46bec-4eda-4828-9cce-2c438f3fc043 · outbound

This paper cites Medical image computing and computer-assisted intervention--MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18 , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Medical image computing and computer-assisted intervention--MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18 , year=

Reference 44

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:54467231d9d02caad534a95fb8a3c2fd0b10318b635f6f42743f0777c93e27a1

Observation 4eaf129d-934c-457b-bab3-2a2cf05e3dc9 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Wan: Open and Advanced Large-Scale Video Generative Models

Reference 45

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:63b51f428eceb0c84934748be7ba6d3e92dfa15abd0c187558dd21adad044ecc

Observation fa91a39c-8815-4492-9f8c-8d5788893576 · outbound

This paper cites UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining

Reference 46

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:649a8ebdb8560080459dd1161760816f62e2ed62217fef8f934c593a5e7b340f

Observation dad79801-df9c-444d-a967-79b3c00c2d5e · outbound

This paper cites International conference on machine learning , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence International conference on machine learning , year=

Reference 47

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:3df6b4b4be76c45d14285ac6a186963f070cc86da668c7e33e7bce527d55b137

Observation 72405108-f049-4c85-9a3b-730e6cec2838 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 48

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:1e55f1e4e59c079056b1a8497a3241d29745da0977fbd2baba81b7d0b6c91415

Observation c0668b6f-0cb3-480e-9eb5-d43ac7f67883 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 49

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:2051acf5b19089ffd3c99add7343cedce94aca517476b0275380d6eb37150652

Observation c7e77ebd-6a1b-44ba-9a74-f5bc444f7fca · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF international conference on computer vision , year=

Reference 50

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:4986247492c51769eaa3b9448c36cfd26afe3ae9a088a44012da55e8cacca485

Observation 96f6d53a-8735-4e6f-a2e5-9fde73bd0057 · outbound

This paper cites Wonderland: Navigating 3D Scenes from a Single Image.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Wonderland: Navigating 3D Scenes from a Single Image

Reference 51

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:48028f49e0f19e8c486d00126ae1bc81efeba71c65b800339543072d95a31296

Observation 4e21ad87-e216-4929-b360-88e95fc7836a · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second , journal =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Depth Pro: Sharp Monocular Metric Depth in Less Than a Second , journal =

Reference 52

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:d5f531a3fd351468e9d098fb43340465649de3a5a635c0b4b953a5e95b7f861d

Observation 60d27097-efeb-488b-9275-d770e50a7f17 · outbound

This paper cites Pixelwise View Selection for Unstructured Multi-View Stereo , booktitle=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Pixelwise View Selection for Unstructured Multi-View Stereo , booktitle=

Reference 53

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:756318e33ebf7651d85c1804167c9182b4e1372593bfbbccfa114070e828a3ef

Observation 56907e8f-7adb-4f79-98ad-d1aa997134c7 · outbound

This paper cites International Conference on Learning Representations , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence International Conference on Learning Representations , year=

Reference 54

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:7d3395fd2167a1b0f564f78f3d041d6895cd3fe452e3f46030e735984a3614ad

Observation ec879126-bf8b-4f6c-9d71-db0709566f4e · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 55

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:802243acb393a955bedea650ae5267a63e63261af3896f7429a04691f4cc8e36

Observation 8fb3190f-24b0-4f09-bb0f-d3a0cd310a7e · outbound

This paper cites International Conference on Learning Representations , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence International Conference on Learning Representations , year=

Reference 56

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:cde0b52b6869e5ed2ebfe2258f6f1f5b53f17645900b3607fc5860d7e16e1851

Observation 9461a449-4908-4059-956f-61a04f0c5459 · outbound

This paper cites Decoupled Weight Decay Regularization.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Decoupled Weight Decay Regularization

Reference 57

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:34894546cc4ef8d856ae1a8e51379c8f4ca655aafb81372c84d2ad0dccc294b5

Observation 7e39bc72-6bb9-4a37-acdd-a11906344a72 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 58

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:0b577108a920ac60ec0e4c5737372e75ecbf96bf55019bd6dd1bc06ca5d8b0ea

Observation 79439e24-e3db-4f62-a0bb-05fd5d64064d · outbound

This paper cites , author=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence , author=

Reference 59

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:ea6c98213649685b5fe3354eb179e0314c73a11281e9a1efd604367824df26af

Observation 017ec049-2fe3-41f8-80d5-6ac42a8a47d6 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 60

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:4bf3a75ac01381133f6d49bf0cd29b4e89d547542ba11154d598661f14bfee18

Observation 36ce0dc7-ada8-4ab5-897e-00b80cdf30ed · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 61

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:24e878a453e690bee5fff1c40833f57fa54937782113a370f75ca74cd06eec33

Observation e0d2d65b-4ecd-4e71-a794-2c928c0f1b4c · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 62

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:e1c97bd93939b8dca7f4eee01777c61af60e62eee2af281833957d0a862bbf4e

Observation 4ec13171-18dc-4924-b73e-31f6d8992397 · outbound

This paper cites MotionMaster: Training-free Camera Motion Transfer For Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence MotionMaster: Training-free Camera Motion Transfer For Video Generation

Reference 63

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:24ec23286103db99b8a890a70db2f7c627e7c4850ee57c1d4fc03894d9e625dc

Observation 84df939b-028d-4bac-a2cf-57c92f525879 · outbound

This paper cites European Conference on Computer Vision , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence European Conference on Computer Vision , year=

Reference 64

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:c753b464245ad33215908925108928afcce502b6c375e71aad06d8686bf4df51

Observation 93709892-2aad-49a0-b559-d79ccbc26ea3 · outbound

This paper cites MotionClone: Training-Free Motion Cloning for Controllable Video Generation.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence MotionClone: Training-Free Motion Cloning for Controllable Video Generation

Reference 65

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:8d004d48e33e4225ad171a8d820aec8227e9db47e1a4ad0cd33e9e1d58d7ce78

Observation 072c1e4f-ba91-437e-81b5-9195bff97ece · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 66

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:13f75ac81b2d1c25a3574451dca213bfbb8a3fca3ed25c4f2e18fca77394bdb2

Observation 043f587b-90eb-4b47-9dfd-bc2762c99dbd · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 67

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:accfe5fe10ae234f6dc0486bef418482363ad6fa0ef1b4f0b563421895239154

Observation 5fe25cf7-3f7e-4db5-b51c-9c5dd37dd5b6 · outbound

This paper cites Journal of Computing in Civil Engineering , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Journal of Computing in Civil Engineering , year=

Reference 68

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:904cc60a0f2b210ee2cb5997f27c3de80f1a117de6c501e8156bbd6301a6496a

Observation 68ccf408-e7b9-489a-9808-1ed955701fe3 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 69

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:d9d312d2a4faecb09f39d4ef3971c1d676073a8fff38a63acf301cf249d0debf

Observation 61b9ec01-f84e-47d9-acbf-8cd3ce0fe2a1 · outbound

This paper cites Yume: An Interactive World Generation Model.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Yume: An Interactive World Generation Model

Reference 70

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:ebea8ff4ad36304b822b414734255effa784428e2f22da5b901a23453b8d8087

Observation 1572daed-0cc0-4de0-9037-0bdd1ce9142d · outbound

This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Reference 71

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:062349a920bada443b9b50a301b2bf70749a9bd3ee7613a75d53ace7080d3370

Observation 868c4c3b-4e8c-4f6c-af24-fad56cd3c222 · outbound

This paper cites arXiv preprint , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence arXiv preprint , year=

Reference 72

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:068f265e4779ee5e8960baaed755b2a693cfb9543c8d4e99eec3a42828c4c853

Observation fb9a5492-deeb-4a64-97e7-c646b5bd73e4 · outbound

This paper cites TTT3R: 3D Reconstruction as Test-Time Training.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence TTT3R: 3D Reconstruction as Test-Time Training

Reference 73

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:c8ce79b35c53d7df7db614704476c434e217e6ec5f144a142b65c1ed9e8210ed

Observation 727ffa8a-25e2-419c-accf-337f739b36ea · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 74

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:417e58261b4d02e970d91f7d0240ba39d81df8a5b2cd8849d9d5d53956618373

Observation 04977dad-b96d-4152-a756-26f84385d584 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 75

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:16c1a6f1cfed0eb4796049712814ccb5b7f712aec92c9bbec0af524e4c7070a6

Observation 5c76f0fd-1100-4b04-922b-32369999fa83 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 76

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:ebba75b23b2c998b7273ccad440294b7d24f05b393e6cfdf69af9c279ab433c2

Observation 48f5e0c6-f5a1-4a32-b340-bbd969836990 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 77

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:43701839f17b6c6a0eada5bc30cc53530c5b01d7257b3ec86ef3ef946a9a1956

Observation 1189aa23-2e2a-4868-8794-6480e6ff7777 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 78

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:10ad9ed96deefd87822460ac8469ce73bd07753c69ff28f47e214687d2084f36

Observation c680416f-f517-43d0-a2d5-df6585d13318 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 79

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:e5fa2a4e1276d87eedcbb2e8d67465b1ee54cbd2f7fd6069a3f2f002294ea492

Observation 58434c58-02e5-42e9-acc0-c2ac20398807 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 80

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:d972d87853de02e75d6ce364e47cee1607ae545d09e4c157b619a32ee8519d32

Observation d2adf0ac-89ea-4582-a026-31c242d7868e · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 81

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:048b55dbff178025bef877d123fd5c5809ba0247302209d37b4546f230dd8b1c

Observation 7fd6d524-d412-4bc1-98de-7816a230f247 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 82

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:0bc7c1ae41b2b6c1037e47c45368a31e5c4afd5459fa427799f7b7e5b07f39ad

Observation a1ed76df-d63d-4126-8584-0825836f547b · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 83

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:22d12c96e879d486966e484a354da886cfeff64d93c1e9cccd838eb2cbf38c6d

Observation b2994d13-197d-48a1-be07-512c366c7f63 · outbound

This paper cites 2024 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2024 , eprint=

Reference 84

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:058b1e584669c5556f3c7f0f8943b605876cbf8793855dd4fb90597278efa577

Observation bd3b00f7-fd1e-4d06-9e97-3faa6ca39a85 · outbound

This paper cites 2023 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2023 , eprint=

Reference 85

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:9c30ca5b435e8bccae0ee9fa7d146d1d002b4acd120a27f055d24131daf4bf51

Observation 594c4478-b76f-43d0-aa59-62603db84c2c · outbound

This paper cites and Wu, Jiajun , title =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence and Wu, Jiajun , title =

Reference 86

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:babd9b178f3f69d4ce4bb0554988e440d7a450f752486c3d12af3b186b7fd0cd

Observation 3ac28f62-7e33-4630-801f-10ac7ded63c8 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 87

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:71c86b140e25505f9d735f055114f35744f004b8102dbadc797984bbf6e74222

Observation de838705-86eb-4ebd-92af-ddd1b33d2aed · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 88

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:8aeb45e167409cb5fedd9f2efee42216179024d90021d85678853e310042c948

Observation ad14c09f-0dd4-406d-8eb9-1a1fea38c64a · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 89

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:7ddcd9280ba004ccb5c3578038d4c33cdebb468bacc8a44f4a92b389c92ba499

Observation d413930f-74c5-43f2-aed8-21f6d50dc60f · outbound

This paper cites 2025 , url =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , url =

Reference 90

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:fdc25eee97af06c4efb65ee1dbb5b79876e65677e6ae9e25641fcf717cbc413d

Observation aa7809bf-3eb3-497b-acd9-64c36a1e0aa0 · outbound

This paper cites 2025 , issue_date =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , issue_date =

Reference 91

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:2035c13e83f828a83b0f2ca5e02bbd70074fa9758b10f914d39d1e6af5c86501

Observation c27571d6-9ba3-4742-a315-e92216e2d14d · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 92

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:ce63930bcbe83e020e707febfb9142e6158c6072be3e04eee716cc9796b21359

Observation 9cb43b47-ff18-47f6-84ca-7922ac395093 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 93

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:d7fce7bf23ad3acc126c321cdcdb27b55db43f623fc5c8a1ced3e8f8768bb4a2

Observation 594034e2-93fa-4207-b7ad-42befffd4953 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 94

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:4a579bfc4631c5e8b20a8d0d0e81038fa5b97b60f4959c4d40bd81d13da0eb3e

Observation 4d3da5ae-caf6-40ce-b572-2799a0f26465 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 95

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:d258c7bd4a38b30228a7a2e154bd8c4762b60d0ad097d8acb9ae413fee536d03

Observation d0d5890a-0db8-4414-9d71-4c5dc21be9fe · outbound

This paper cites WonderJourney: Going from Anywhere to Everywhere.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence WonderJourney: Going from Anywhere to Everywhere

Reference 96

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:4f32965c0c291b4e679657c1c2f0396fb95239680f75262a02f5dd773bea587d

Observation 364c2d96-5d3f-47d9-b504-985c46a8a769 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 97

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:b3e6115df73f7224834eb07696b48b8e3807351103a01b1f4ade57bfa3a984fd

Observation 7ff88432-d88c-4bc3-b7a0-5390bddbbe04 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 98

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:1958c1625987b6d302ab875866e9af26be6a36a4b8e37ba62702885728fd71cf

Observation ef28321a-db72-45a0-9c69-6eb353f6d880 · outbound

This paper cites 2025 , eprint=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence 2025 , eprint=

Reference 99

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:26c7850a4591b2c0849c0c57078f0526c9f8db6e23af63348db225c8d20c0567

Observation 0c60522d-8ad0-4ddb-bc30-6589eefc1cab · outbound

This paper cites Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models , booktitle =.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models , booktitle =

Reference 100

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:0a1b2c8d7a9e2a6ed86deead7ee3744149babd93a8f02bb71dc3206437668227

Observation a8d8fc95-e959-4c9d-95d9-4b5d501f4435 · outbound

This paper cites Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting , year=.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting , year=

Reference 101

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:9f590802f253f0fb711d135c02c254d343e1632931354a7a271652ff9ea0f220

Observation 5923122b-60b0-40e5-8722-6f41cb06e205 · outbound

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

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Cosmos World Foundation Model Platform for Physical AI

Reference 102

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source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:59fad7db07d5ff11860d5336d32c7cdd21089801c679b07b08db1556eb00a031

Pith citing papers

Observation 3c91003e-e086-41da-810d-f6fbb643ba41 · inbound

Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision cites this paper.

Physics-Grounded Fluid Video Generation with a Simulation Dataset and Dual-Stream Optical-Flow Supervision From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence

Reference 17

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source=pdf_text observed=2026-08-01T02:49:58.932762Z digest=sha256:33abc947f2f5944e23fe1f6ca5e2f6fd5f89ec450d52001761298f6ece30102d