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Paper Citation Record · LEDGER

Motubrain: An Advanced World Action Model for Robot Control

As of 4 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 30 inbound Pith citation observations for arXiv:2604.27792.

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

pith.paper-citation-record.v1
2604.27792 v5

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:15:14.510735Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:03:34.642270Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:16:36.394978Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec4b141f-0536-4cc6-9fa0-8a64b40bdbc9 · outbound

This paper cites Qwen3-VL Technical Report.

Motubrain: An Advanced World Action Model for Robot Control Qwen3-VL Technical Report

Reference 1

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source=pdf_text observed=2026-08-02T15:15:10.167446Z digest=sha256:8f5a8bd414afa82355b51d30cab86c87ba36a737d2acb0f4191e4d0c06429ff6

Observation 6c8cd858-5ded-4e0a-9dbe-05ba7cf58282 · outbound

This paper cites One transformer fits all distributions in multi-modal diffusion at scale, 2023.

Motubrain: An Advanced World Action Model for Robot Control One transformer fits all distributions in multi-modal diffusion at scale, 2023

Reference 2

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source=pdf_text observed=2026-08-02T15:15:10.313991Z digest=sha256:bdf6c9a8ed9c2d15e7270ab2a4060398546deaff60c6037064cf6ab4ddddc10d

Observation cbabdaf6-fd55-4bde-9021-7821d9c5704d · outbound

This paper cites Vidu: a highly consistent, dynamic and skilled text-to-video generator with diffusion models, 2024.

Motubrain: An Advanced World Action Model for Robot Control Vidu: a highly consistent, dynamic and skilled text-to-video generator with diffusion models, 2024

Reference 3

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source=pdf_text observed=2026-08-02T15:15:10.444543Z digest=sha256:b0d0971769cf74d820672904669ae7e067cb45ba79276a3f517692aeb6ef3b51

Observation 20112806-5068-421f-9f00-a85543cc296a · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Motubrain: An Advanced World Action Model for Robot Control PaliGemma: A versatile 3B VLM for transfer

Reference 4

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source=pdf_text observed=2026-08-02T15:15:10.607500Z digest=sha256:b456b04e4924296ef1b7bd8adcf26e5f7ae1592a63bd46eb7d1bcbcd7e448936

Observation c87210ea-d4bc-4dd3-8ac9-25ac2608bf5d · outbound

This paper cites Motus: A unified latent action world model, 2025.

Motubrain: An Advanced World Action Model for Robot Control Motus: A unified latent action world model, 2025

Reference 5

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source=pdf_text observed=2026-08-02T15:15:10.807238Z digest=sha256:c8842ac07a6b9f7fa35739441b9d66812031968f2c784532fe604ee7e20bcbe5

Observation b2b3ca92-68c2-426b-a263-c3e68f89a841 · outbound

This paper cites an unresolved cited work.

Motubrain: An Advanced World Action Model for Robot Control Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-02T15:15:11.051405Z digest=sha256:21d07cfe4f42e745fb8d433d597188a77abdc31c6324ebf562857bdab31600cb

Observation 732274e1-92e2-4d3d-9fe0-343b5768f36c · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

Motubrain: An Advanced World Action Model for Robot Control Real-Time Execution of Action Chunking Flow Policies

Reference 7

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source=pdf_text observed=2026-08-02T15:15:11.182484Z digest=sha256:3665eada87f71a0239beb8c67d5cf9125523ed26cc2ddc3292ed9ff5e0b906ae

Observation 9f81909d-b3cb-4539-9288-0a66fd02507a · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control, 2023.18.

Motubrain: An Advanced World Action Model for Robot Control Rt-2: Vision-language-action models transfer web knowledge to robotic control, 2023.18

Reference 8

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source=pdf_text observed=2026-08-02T15:15:11.287196Z digest=sha256:98b754c1ee0df9509ac9b8f0c291d96c650cccabf841685237beef499dccf9f3

Observation dd197ba3-ced0-4cdf-83ad-161aeeffd610 · outbound

This paper cites Genie: Generative interactive environments, 2024.

Motubrain: An Advanced World Action Model for Robot Control Genie: Generative interactive environments, 2024

Reference 9

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source=pdf_text observed=2026-08-02T15:15:11.377445Z digest=sha256:f80fb347bb945b16ecf8745c3b01f0c70768c5fc83ad0b631e9518835ec6f84b

Observation 4af96eb2-895c-4a29-8309-f4039ebc0c29 · outbound

This paper cites Univla: Learning to act anywhere with task-centric latent actions, 2025.

Motubrain: An Advanced World Action Model for Robot Control Univla: Learning to act anywhere with task-centric latent actions, 2025

Reference 10

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source=pdf_text observed=2026-08-02T15:15:11.458958Z digest=sha256:3868ba012e24874fefdfff9493b1de47c40998eb28324e27912602e442875587

Observation 6c81303f-e6e7-4c8e-8dcf-3dc4b618249e · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

Motubrain: An Advanced World Action Model for Robot Control RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 11

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source=pdf_text observed=2026-08-02T15:15:11.567116Z digest=sha256:c91c4dc2eb2237aca6c6a559c7c12f6b0d63fbeb8cf6950237544333b9845fa8

Observation 71c8de93-8359-4516-bda2-8411bae995f6 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models, 2023.

Motubrain: An Advanced World Action Model for Robot Control Open x-embodiment: Robotic learning datasets and rt-x models, 2023

Reference 12

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source=pdf_text observed=2026-08-02T15:15:11.670271Z digest=sha256:be37a809e3095ea1e4f2361811f6811cf6c3aa9462c02d31dc12fc36d2833b50

Observation 55ae9c24-76be-4763-8813-8090752df128 · outbound

This paper cites Tenenbaum, Dale Schuurmans, and Pieter Abbeel.

Motubrain: An Advanced World Action Model for Robot Control Tenenbaum, Dale Schuurmans, and Pieter Abbeel

Reference 13

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source=pdf_text observed=2026-08-02T15:15:11.732078Z digest=sha256:d2dd50a5352e4dfc9799eecd2b56f7e43354496ab865134d7b6793fd6521a5fa

Observation e0631f40-070d-43f5-9707-39f7aca79c41 · outbound

This paper cites Vidar: Embodied Video Diffusion Model for Generalist Manipulation.

Motubrain: An Advanced World Action Model for Robot Control Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Reference 14

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source=pdf_text observed=2026-08-02T15:15:11.808291Z digest=sha256:5645d2c9b445e6b2a05db627cb250fa0fd98349d3d5949ac60b1b22c97abce7c

Observation 056e01f6-5f65-43b4-8fc2-d95dfbd34269 · outbound

This paper cites Adaworld: Learning adaptable world models with latent actions, 2025.

Motubrain: An Advanced World Action Model for Robot Control Adaworld: Learning adaptable world models with latent actions, 2025

Reference 15

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source=pdf_text observed=2026-08-02T15:15:11.880040Z digest=sha256:e8502b8c76aafce1a4bb1c1425d645a23971eadfa860833a2ed99672dfbdffa5

Observation eeef46be-899a-4ed3-9a37-0889ab6dda78 · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

Motubrain: An Advanced World Action Model for Robot Control Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 16

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source=pdf_text observed=2026-08-02T15:15:11.969662Z digest=sha256:bd6f9740c34e9884b2d0e154e2d0b2600b563443e927ba738a82d1c563310d5c

Observation 4a6ce07d-485b-450f-8534-92492c7025c6 · outbound

This paper cites Pre-trained video generative models as world simulators, 2025.

Motubrain: An Advanced World Action Model for Robot Control Pre-trained video generative models as world simulators, 2025

Reference 17

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source=pdf_text observed=2026-08-02T15:15:12.030215Z digest=sha256:807809304702f81d0f5df6361fc53534cbfa054f6a4d17849ae8c7ab7c06649e

Observation c29984d6-a5ee-43e4-99d6-05f02b00d830 · outbound

This paper cites Matrix-game 2.0: An open-source real-time and streaming interactive world model, 2026.

Motubrain: An Advanced World Action Model for Robot Control Matrix-game 2.0: An open-source real-time and streaming interactive world model, 2026

Reference 18

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source=pdf_text observed=2026-08-02T15:15:12.126759Z digest=sha256:96dab5d694c040d296d28929c9b8cd90223c2413d517c3a7d23b17057537ded0

Observation 0ea87718-e9c9-403a-ab41-5c63a9267f39 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

Motubrain: An Advanced World Action Model for Robot Control Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 19

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source=pdf_text observed=2026-08-02T15:15:12.208098Z digest=sha256:dacf1caf9f1a3bfd36d887135cac87b8e4c3932e0a0e1be52950e5683872cd00

Observation c9767b61-3e6e-4bda-8616-8f15ae647883 · outbound

This paper cites an unresolved cited work.

Motubrain: An Advanced World Action Model for Robot Control Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-02T15:15:12.278497Z digest=sha256:aade4b76b5198977c2111b7c2e7bc5b8b25f87037a3b18bde4ca9b05f4ffbe16

Observation ea8a9492-ce97-4633-bdcd-7d212271638c · outbound

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

Motubrain: An Advanced World Action Model for Robot Control Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 21

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source=pdf_text observed=2026-08-02T15:15:12.388113Z digest=sha256:a58dade8e7b0557e8ebd07538f8bfc7f08e8d537f7cd62dce09909b4c3121254

Observation 557c6004-a155-4551-8d84-713810832aa5 · outbound

This paper cites Openvla: An open-source vision-language-action model, 2024.

Motubrain: An Advanced World Action Model for Robot Control Openvla: An open-source vision-language-action model, 2024

Reference 22

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source=pdf_text observed=2026-08-02T15:15:12.500021Z digest=sha256:a66e0d967bad96daf92803da1f7c1a5b4555ca434f75a8ef86f000b08ea8acfd

Observation 10941c1e-994e-4da5-ac27-5dae7e9619b5 · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models, 2025.

Motubrain: An Advanced World Action Model for Robot Control Hunyuanvideo: A systematic framework for large video generative models, 2025

Reference 23

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Observation 2cdcfd42-c686-47f5-9fb1-685575ae69f6 · outbound

This paper cites Causal World Modeling for Robot Control.

Motubrain: An Advanced World Action Model for Robot Control Causal World Modeling for Robot Control

Reference 24

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source=pdf_text observed=2026-08-02T15:15:12.735522Z digest=sha256:3132e1a4330b86a8ac8bbd098d6820e1a48f466dbc032fed6ef01cbb8ab5c580

Observation 252adf2f-c02f-440d-9f8f-7341655d8c97 · outbound

This paper cites Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation.

Motubrain: An Advanced World Action Model for Robot Control Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 25

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Observation b727b8e2-0c71-49e5-b44a-c8a85f475eb5 · outbound

This paper cites Rdt-1b: a diffusion foundation model for bimanual manipulation, 2025.

Motubrain: An Advanced World Action Model for Robot Control Rdt-1b: a diffusion foundation model for bimanual manipulation, 2025

Reference 26

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source=pdf_text observed=2026-08-02T15:15:12.912574Z digest=sha256:28e994d86c641ed9db110718b13091dd2da120c0b0063510c247409e3e6adb1d

Observation c58a3ca1-edef-48f1-8a25-f22ac7347d7c · outbound

This paper cites Lda-1b: Scaling latent dynamics action model via universal embodied data ingestion, 2026.

Motubrain: An Advanced World Action Model for Robot Control Lda-1b: Scaling latent dynamics action model via universal embodied data ingestion, 2026

Reference 27

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source=pdf_text observed=2026-08-02T15:15:12.995630Z digest=sha256:44fdb94b22077f5909d606a38159e77688a8cd172329620421937ac91d6e938e

Observation 1d17894b-1458-40af-a9da-36631dd61893 · outbound

This paper cites Cosmos world foundation model platform for physical ai, 2025.

Motubrain: An Advanced World Action Model for Robot Control Cosmos world foundation model platform for physical ai, 2025

Reference 28

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source=pdf_text observed=2026-08-02T15:15:13.145895Z digest=sha256:2829487a0d717cbafdc45814769ab7c4cc56ac202973936d313991f6420241b5

Observation 3c3f56c1-642c-449e-bd16-bd1634832bc4 · outbound

This paper cites mimic-video: Video-action models for generalizable robot control beyond vlas, 2025.

Motubrain: An Advanced World Action Model for Robot Control mimic-video: Video-action models for generalizable robot control beyond vlas, 2025

Reference 29

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Observation 041b4a7b-44db-4b48-8fcb-e8b54d49e7ea · outbound

This paper cites an unresolved cited work.

Motubrain: An Advanced World Action Model for Robot Control Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-02T15:15:13.362901Z digest=sha256:cfb8bd8c74755f07f9e8363ff578a69f2dadfc61538d408508e6a4ec0fb2de39

Observation 60ef9d5d-79d1-448f-8349-b2711a1f5a3a · outbound

This paper cites Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models, 2026.

Motubrain: An Advanced World Action Model for Robot Control Worldarena: A unified benchmark for evaluating perception and functional utility of embodied world models, 2026

Reference 31

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source=pdf_text observed=2026-08-02T15:15:13.513973Z digest=sha256:f03b4093b2d686b86bca49174336ea366ac24c5bc8cc093cb490d10724d55456

Observation be07d2ed-6d50-44b7-abed-6296fc971de4 · outbound

This paper cites Anypos: Automated task-agnostic actions for bimanual manipulation, 2025.

Motubrain: An Advanced World Action Model for Robot Control Anypos: Automated task-agnostic actions for bimanual manipulation, 2025

Reference 32

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source=pdf_text observed=2026-08-02T15:15:13.661117Z digest=sha256:0b90c60a467d48d89edc61680df36e8180443832114224b925ed6bdf8e6e1961

Observation 7c609dd3-efe5-4bed-a7b8-8ca6cd6df3a0 · outbound

This paper cites Octo: An open-source generalist robot policy , 2024.

Motubrain: An Advanced World Action Model for Robot Control Octo: An open-source generalist robot policy , 2024

Reference 33

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source=pdf_text observed=2026-08-02T15:15:13.825125Z digest=sha256:3186bb156d5e0534ae9a2e0fd5e0a5471d95383d65599dc7e7cd0e6f33469b27

Observation 7810a38a-1803-4882-85de-a4c918ef388f · outbound

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

Motubrain: An Advanced World Action Model for Robot Control Wan: Open and Advanced Large-Scale Video Generative Models

Reference 34

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source=pdf_text observed=2026-08-02T15:15:13.894436Z digest=sha256:65b4775f9b004e8160f72713200f549ca3df1959b8ac15d452b80fef7e714660

Observation d049dc95-1cd9-438d-8a9e-dad8ebbc20f2 · outbound

This paper cites Hbridge: H-shape bridging of heterogeneous experts for unified multimodal understanding and generation, 2025.

Motubrain: An Advanced World Action Model for Robot Control Hbridge: H-shape bridging of heterogeneous experts for unified multimodal understanding and generation, 2025

Reference 35

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source=pdf_text observed=2026-08-02T15:15:13.959584Z digest=sha256:8c2f23f5acb2d91f15415a0c1cc43f8616e5a7d88cced4fe94ab6db919ed4ff2

Observation 26f15228-b38d-4b82-92ec-6dee201815c1 · outbound

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

Motubrain: An Advanced World Action Model for Robot Control World Action Models are Zero-shot Policies

Reference 36

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source=pdf_text observed=2026-08-02T15:15:14.016078Z digest=sha256:ca4cc9bfbcaaf6a5beb6f98d9ae174e54c648dc65dd218573003cb23678782e9

Observation 62aabd44-a733-454e-9006-45aa2009c63a · outbound

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

Motubrain: An Advanced World Action Model for Robot Control Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 37

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source=pdf_text observed=2026-08-02T15:15:14.121513Z digest=sha256:20fe73a18906d067f14910a19e3a055f2ab524a25785845fc31b09b675668abf

Observation d3b796a9-7078-411d-b69e-e8b011a92006 · outbound

This paper cites X-vla: Soft-prompted transformer as scalable cross-embodiment vision-language-action model, 2025.

Motubrain: An Advanced World Action Model for Robot Control X-vla: Soft-prompted transformer as scalable cross-embodiment vision-language-action model, 2025

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:15:14.257741Z digest=sha256:ab5663edd244f4371eba5ee7ab6b40171b671cc499e539c4c4f0cd966c7bf7d1

Observation 21cfa9eb-154e-414b-b250-7ea0185a1e47 · outbound

This paper cites Open-sora: Democratizing efficient video production for all, 2024.

Motubrain: An Advanced World Action Model for Robot Control Open-sora: Democratizing efficient video production for all, 2024

Reference 39

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no resolver link, observed 2026-08-02T15:15:14.333662Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:15:14.333662Z digest=sha256:ede85f476dbe250d1509365d08797407b9225fd773a290da2a1b55cd420d3659

Observation 0dc9b6a8-a939-4a44-9125-085f67268c13 · outbound

This paper cites Robodreamer: Learning compositional world models for robot imagination, 2024.

Motubrain: An Advanced World Action Model for Robot Control Robodreamer: Learning compositional world models for robot imagination, 2024

Reference 40

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no resolver link, observed 2026-08-02T15:15:14.429735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:15:14.429735Z digest=sha256:159c1dbf730117b0a1b8f9fea477311c4065a3e18761d13b7109b78fb09cb5a5

Observation 321193b6-4787-4541-a360-64ef7109d7f9 · outbound

This paper cites Unified world models: Coupling video and action diffusion for pretraining on large robotic datasets.

Motubrain: An Advanced World Action Model for Robot Control Unified world models: Coupling video and action diffusion for pretraining on large robotic datasets

Reference 41

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:15:14.510735Z digest=sha256:47e2f76dafcb734442b263767cfb9d883f02f7d33300afbc05fd1c8863cd5f58

Pith citing papers

Observation 4dfc8b5e-43b4-4bd2-80eb-85be009118ad · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI Motubrain: An Advanced World Action Model for Robot Control

Reference 111

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verified exact
local_arxiv, observed 2026-05-13T05:07:18.281708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:597024db925843825eed724dc15b70093c65fe029a23070d2a56cfb764e6f22e

Observation 25fa35b1-6573-458d-8f9b-762775de2f3f · inbound

SANTS: A State-Adaptive Scheduler for World Action Models cites this paper.

SANTS: A State-Adaptive Scheduler for World Action Models Motubrain: An Advanced World Action Model for Robot Control

Reference 30

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verified exact
local_arxiv, observed 2026-06-29T12:03:24.114071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T11:57:36.200662Z digest=sha256:32cd43ef51a44f245c90f258740130c549f15f8f584da15bade8d8b267b1fef2

Observation 39689a7b-79ba-400f-bc74-b22e1da3a9a4 · inbound

SANTS: A State-Adaptive Scheduler for World Action Models cites this paper.

SANTS: A State-Adaptive Scheduler for World Action Models Motubrain: An Advanced World Action Model for Robot Control

Reference 30

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unresolved
no resolver link, observed 2026-07-15T11:04:29.593725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:04:29.593725Z digest=sha256:111324948ddde918002e1923a73b5c7075d814bffe81da3e43722ecac4de03a0

Observation 1dfe407a-545d-44a0-acf5-2c08e0503a44 · inbound

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models cites this paper.

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models Motubrain: An Advanced World Action Model for Robot Control

Reference 5

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verified exact
local_arxiv, observed 2026-06-29T13:53:28.702407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T13:49:45.095377Z digest=sha256:f5b946a32f2d8348d4b84e9df53a7e8ad69bef7d084e2665b4e288fd1d45c418

Observation 2790dfe3-4463-40b9-970a-703715744385 · inbound

WALL-WM: Carving World Action Modeling at the Event Joints cites this paper.

WALL-WM: Carving World Action Modeling at the Event Joints Motubrain: An Advanced World Action Model for Robot Control

Reference 69

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verified exact
local_arxiv, observed 2026-07-01T23:36:22.435123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T14:15:14.454649Z digest=sha256:c059616c6caf57e391f77e0e535eebd311d0fa8218b0ecfc7b384161eaf5ab3f

Observation b301c33a-7a98-4a6a-a3a9-df70479b36f6 · inbound

What Are We Actually Benchmarking in Robot Manipulation? cites this paper.

What Are We Actually Benchmarking in Robot Manipulation? Motubrain: An Advanced World Action Model for Robot Control

Reference 54

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verified exact
local_arxiv, observed 2026-07-02T03:56:35.321644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T09:31:39.345777Z digest=sha256:15ea621355b8099d2c84db69f0be13b0275fdd856b91f3c67282bd40e520fee1

Observation 4494f7a0-1c9d-4f0c-a5b7-418fac2e3b48 · inbound

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models cites this paper.

$\omega$-EVA: Envision, Verify, and Act with Latent Interactive World Models Motubrain: An Advanced World Action Model for Robot Control

Reference 32

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verified exact
local_arxiv, observed 2026-07-03T02:07:33.710600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T16:10:02.176202Z digest=sha256:1cbdc0c379694f9cfc1e7126a0e502c21ad8169aad5baac881f6ee6c77868f1b

Observation 5f508290-1e6a-453f-a985-934539614a76 · inbound

HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation cites this paper.

HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation Motubrain: An Advanced World Action Model for Robot Control

Reference 18

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verified exact
local_arxiv, observed 2026-07-03T05:37:40.447032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T13:08:51.061076Z digest=sha256:d8bc080770876678207d62c1dd3e701e6d0333336f010c4d9af5b5c53a56c21e

Observation 1d4dfd13-87a2-458f-8bda-495a6c7ed201 · inbound

Making Foresight Actionable: Repurposing Representation Alignment in World Action Models cites this paper.

Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Motubrain: An Advanced World Action Model for Robot Control

Reference 7

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verified exact
local_arxiv, observed 2026-07-03T11:08:03.388412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T09:40:54.963759Z digest=sha256:d48528cc7c036cc4a69d8905c96a0b96c9376c9ff2153531605ecdb6ef0ed74b

Observation d9161837-ee47-49cb-a419-d2aa4b1823f5 · inbound

RepWAM: World Action Modeling with Representation Visual-Action Tokenizers cites this paper.

RepWAM: World Action Modeling with Representation Visual-Action Tokenizers Motubrain: An Advanced World Action Model for Robot Control

Reference 25

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verified exact
local_arxiv, observed 2026-07-03T14:58:33.438811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T06:47:05.236028Z digest=sha256:da4b5f0b62162fc1fd92f478ce3d9dc79961034475cfca83394bd7ed91a21b1e

Observation 2d428147-9024-4780-a251-1508f6b04fc8 · inbound

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI cites this paper.

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI Motubrain: An Advanced World Action Model for Robot Control

Reference 165

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verified exact
local_arxiv, observed 2026-07-03T17:28:44.896898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T04:02:53.110012Z digest=sha256:c69d103a55e7aa5da5daee3f48871e71bcafe51bde5198baf365125744fe5e79

Observation 2e5bf0c1-96d3-4220-9a88-7fec6c161807 · inbound

PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation cites this paper.

PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation Motubrain: An Advanced World Action Model for Robot Control

Reference 60

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verified exact
local_arxiv, observed 2026-07-03T21:38:58.707686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T00:19:33.170645Z digest=sha256:7e7a72e4836f85d2e89012eba9674e836d9ae6ef703f50529d9b2eac8a25c6d7

Observation de528bcf-16a3-4265-a72d-787ed2c1da22 · inbound

MemoryWAM: Efficient World Action Modeling with Persistent Memory cites this paper.

MemoryWAM: Efficient World Action Modeling with Persistent Memory Motubrain: An Advanced World Action Model for Robot Control

Reference 17

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local_arxiv, observed 2026-07-04T04:29:34.753913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T17:00:43.138441Z digest=sha256:af1049371dfa7151f37b74e5ddebf1d0d3c266333259567e1196172d29d0c4f1

Observation 0081f458-d9a8-462e-a0d3-52376319e653 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey Motubrain: An Advanced World Action Model for Robot Control

Reference 121

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verified exact
local_arxiv, observed 2026-07-04T04:09:35.105211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:40bdbbc334ce96d0dc4355dd894b283ae92e800e763fc184d5ba1a46d557724f

Observation 0cd127a1-843f-4828-85c0-d73b6221a738 · inbound

Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data cites this paper.

Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data Motubrain: An Advanced World Action Model for Robot Control

Reference 36

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verified exact
local_arxiv, observed 2026-07-04T08:19:44.708633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T11:47:54.951618Z digest=sha256:1bb6916613b571524dfbe577d6101861f8d41d35ee6c2a12a63374b6fffd68a6

Observation 0ff13733-46b0-4525-b40e-172decfa4886 · inbound

World Value Models for Robotic Manipulation cites this paper.

World Value Models for Robotic Manipulation Motubrain: An Advanced World Action Model for Robot Control

Reference 62

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verified exact
local_arxiv, observed 2026-07-04T17:40:00.369053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T23:33:50.854261Z digest=sha256:eba585502bb4ed47943d8bc7eae9802e08e3e2ca471478451020d92e4bd0280b

Observation 00e0e371-ce9e-48e1-aefd-e06f3bb505fa · inbound

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays cites this paper.

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays Motubrain: An Advanced World Action Model for Robot Control

Reference 40

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verified exact
local_arxiv, observed 2026-07-04T14:19:53.500068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T04:20:26.522615Z digest=sha256:e5310a1a93e7b3b632ab7afff719d6735cf76b4c860137a0dce3fd4bb36b6bf9

Observation e8046824-a30a-4be7-9fd3-aca283e776d9 · inbound

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation cites this paper.

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Motubrain: An Advanced World Action Model for Robot Control

Reference 108

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no resolver link, observed 2026-07-12T08:04:48.963890Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T08:04:48.963890Z digest=sha256:4fae9e19329c540315486d74e54866ddc21a8809ce8e87257d4a31a118e26f90

Observation 28611f22-4b3c-4071-b7c4-82866f9ebcbd · inbound

WSA$_1$: a 3D-Centric World-Spatial-Action Model for Generalizable Robot Control cites this paper.

WSA$_1$: a 3D-Centric World-Spatial-Action Model for Generalizable Robot Control Motubrain: An Advanced World Action Model for Robot Control

Reference 33

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no resolver link, observed 2026-07-11T22:51:22.538166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:51:22.538166Z digest=sha256:b51a40e5984e23007a76a7df332a65d51e37cccb85eca39203356e2feda74f39

Observation 4e95021e-04f6-46cf-b813-e552abcccff5 · inbound

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies cites this paper.

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies Motubrain: An Advanced World Action Model for Robot Control

Reference 51

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no resolver link, observed 2026-07-11T19:13:23.494763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:13:23.494763Z digest=sha256:1bfb06e31b9fbf173f179b08a712b06cbf7aeb893ce1457dda8abd5190a06b86

Observation 1edf4dad-be6a-4682-869f-65855968be16 · inbound

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation cites this paper.

DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation Motubrain: An Advanced World Action Model for Robot Control

Reference 20

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no resolver link, observed 2026-07-11T11:21:18.588143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:21:18.588143Z digest=sha256:18bdeb860a00d09771c36b2fad5870017b52e891e6e6597bf17724494e5cd11a

Observation 09b6d80e-6ff0-4ff2-8ee2-f74d87d58933 · inbound

Learning 4D Geometric Priors for Inference-Efficient World Action Models cites this paper.

Learning 4D Geometric Priors for Inference-Efficient World Action Models Motubrain: An Advanced World Action Model for Robot Control

Reference 72

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no resolver link, observed 2026-07-11T14:23:57.266710Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T14:23:57.266710Z digest=sha256:5134ac8a9f09e972f381fcade1d6a024e22a7f83d018664fc7dc3f902ea4e2bc

Observation f4166ae0-9168-4f2a-976b-0fb9a96d4f54 · inbound

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time cites this paper.

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time Motubrain: An Advanced World Action Model for Robot Control

Reference 24

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local_arxiv, observed 2026-07-09T22:16:36.396346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-09T22:16:31.529359Z digest=sha256:13a5572739ea157c9eeaecc36aa0678004b2a006b5c60c926825e7bf733f426e

Observation 8d5ba70c-fb0b-4ed6-8b84-da9889f98aa7 · inbound

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time cites this paper.

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time Motubrain: An Advanced World Action Model for Robot Control

Reference 25

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no resolver link, observed 2026-07-13T06:48:14.554799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:48:14.554799Z digest=sha256:caef454fc81809c2570f0f97868417a86836269bfda8ff6bd8f0c121087232e0

Observation 395e0ef3-5d90-4275-976c-8414b6cdcfb2 · inbound

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model cites this paper.

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Motubrain: An Advanced World Action Model for Robot Control

Reference 56

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no resolver link, observed 2026-07-14T04:10:14.360463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:10:14.360463Z digest=sha256:494607970793792e23cb5f8e9d83324a943e289e0037c65c6f75852c7735bd1f

Observation ca3b4035-31c5-4568-997f-bb7713de020d · inbound

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

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch Motubrain: An Advanced World Action Model for Robot Control

Reference 40

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no resolver link, observed 2026-08-02T03:16:53.057505Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:16:53.057505Z digest=sha256:0488f75a875363eaec5d5800ec458451bed6bf9b0d09aca7a310523140adb6af

Observation 6408f5d5-3515-41ab-979e-bda2709f60eb · inbound

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories cites this paper.

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories Motubrain: An Advanced World Action Model for Robot Control

Reference 68

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no resolver link, observed 2026-08-02T00:04:07.705109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:04:07.705109Z digest=sha256:daf1cca7a998c7d8f6dfc4a32988dea8f350e65f9be680e91ffc6052c731e785

Observation 7b2fdd82-2c0c-4ad9-b52c-c0400eb60eda · inbound

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation cites this paper.

Test-Time Scaling for World Action Models via Zero-Shot Geometric Evaluation Motubrain: An Advanced World Action Model for Robot Control

Reference 15

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unresolved
no resolver link, observed 2026-08-01T17:58:45.082361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:58:45.082361Z digest=sha256:e3f36100055186e978f4688332aae8d0ade2086d89564fdbe93a9719d18d88a8

Observation 9f1ca831-4b71-4a1e-894c-a37e290581fb · inbound

World Action Models in Real Time: An Empirical Study of Smooth Execution via Asynchronous Deployment cites this paper.

World Action Models in Real Time: An Empirical Study of Smooth Execution via Asynchronous Deployment Motubrain: An Advanced World Action Model for Robot Control

Reference 4

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unresolved
no resolver link, observed 2026-08-04T19:03:34.642270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:03:34.642270Z digest=sha256:b614034d105486c0b9fdc60e931192ec41c7a1d3066b0bd030c3bed6dd66159c

Observation a3f7d739-0858-46f1-8542-37af9617c640 · inbound

Faster-WAM: Do World Action Models Need Deep Action Modules? cites this paper.

Faster-WAM: Do World Action Models Need Deep Action Modules? Motubrain: An Advanced World Action Model for Robot Control

Reference 12

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unresolved
no resolver link, observed 2026-08-04T08:41:45.082356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:41:45.082356Z digest=sha256:dde39b2f9cbf7ed57cfd32ddfc2754b7e7fb50211377930476ec806476434f71