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Paper Citation Record · LEDGER

Pixel Motion as Universal Representation for Robot Control

As of 17 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 5 inbound Pith citation observations for arXiv:2505.07817.

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

pith.paper-citation-record.v1
2505.07817 v2

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:55.177124Z

measured 104 of 104 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:33.115136Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:33:59.294961Z

Reference resolution

99 of 99 outbound references displayed

  • verified exact3
  • verified fuzzy34
  • unresolved60
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e919ead-7912-4d66-9ea6-16ba96cf48c9 · outbound

This paper cites write newline.

Pixel Motion as Universal Representation for Robot Control write newline

Reference 1

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source=arxiv_source observed=2026-08-15T22:12:54.749696Z digest=sha256:a281513068aa4bc313ce9d9bc6121e67915d58b9c81506c7b7f86c7d59632d28

Observation 78b358f5-8ecf-45d0-8675-7b900ea73a08 · outbound

This paper cites Learning optical flow from still images.

Pixel Motion as Universal Representation for Robot Control Learning optical flow from still images

Reference 2

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source=arxiv_source observed=2026-08-15T22:12:54.755719Z digest=sha256:34fbc511807cffb374eae50e101c5408f27691f5e19d7588bebacdd6f5d44f8b

Observation 3b37c26b-22f4-41b8-a065-c50b5605b3ca · outbound

This paper cites Flowcontrol: Optical flow based visual servoing.

Pixel Motion as Universal Representation for Robot Control Flowcontrol: Optical flow based visual servoing

Reference 3

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source=arxiv_source observed=2026-08-15T22:12:54.761398Z digest=sha256:ca03eb2f8a37b267564e6fd1bd1380319bbe45a7db75fa66fd769bc10fddb4ac

Observation e66aa6d1-74d2-4e8e-855b-b086be674a0b · outbound

This paper cites Rheotropism in fishes.

Pixel Motion as Universal Representation for Robot Control Rheotropism in fishes

Reference 4

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source=arxiv_source observed=2026-08-15T22:12:54.765987Z digest=sha256:0c766ac22739b1aadac7abda1dab890c5ea91882c46489962fb6113bd86114c0

Observation 1a85b3fa-007b-40d5-8fe2-a10756e85103 · outbound

This paper cites Human-to-robot imitation in the wild.

Pixel Motion as Universal Representation for Robot Control Human-to-robot imitation in the wild

Reference 5

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source=arxiv_source observed=2026-08-15T22:12:54.770497Z digest=sha256:8751af155e84a841a850223f4919dc9c78562e73337d7f6ada691033a9772039

Observation 221d87fc-0b54-4d60-a895-99a232280bdb · outbound

This paper cites Srinivasan.

Pixel Motion as Universal Representation for Robot Control Srinivasan

Reference 6

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source=arxiv_source observed=2026-08-15T22:12:54.776113Z digest=sha256:2c63f6afca502fb3663a514ffeb9b1d504ac75f6b384e13a96801844c84f812b

Observation 19fac862-d225-4114-bf06-c94ca64ed74e · outbound

This paper cites RT-H: Action Hierarchies Using Language.

Pixel Motion as Universal Representation for Robot Control RT-H: Action Hierarchies Using Language

Reference 7

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source=arxiv_source observed=2026-08-15T22:12:54.780124Z digest=sha256:f2ca1bc3f2a5271c823db0fee2668050cad2fed64c8e075af589f385fd0aa411

Observation b521d8b9-1fdb-4d38-ba36-162cf5d9e6c8 · outbound

This paper cites Gen2act: Human video generation in novel scenarios enables generalizable robot manipulation.

Pixel Motion as Universal Representation for Robot Control Gen2act: Human video generation in novel scenarios enables generalizable robot manipulation

Reference 8

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source=arxiv_source observed=2026-08-15T22:12:54.784756Z digest=sha256:e5a683e4acc09d5963adb8d5f4048f489af00c1ffb2b64b9df33cc95fddde573

Observation 7da14d19-e5f3-4d01-aa02-213329ffd141 · outbound

This paper cites Track2act: Predicting point tracks from internet videos enables diverse zero-shot robot manipulation.

Pixel Motion as Universal Representation for Robot Control Track2act: Predicting point tracks from internet videos enables diverse zero-shot robot manipulation

Reference 9

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source=arxiv_source observed=2026-08-15T22:12:54.788797Z digest=sha256:e1e4c9eb3f586e75409eb0829b7b614cb40440e4663cae39d8599b4fca6544f4

Observation b698935f-eef1-45e0-a970-1542bc53d536 · outbound

This paper cites Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models.

Pixel Motion as Universal Representation for Robot Control Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Reference 10

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source=arxiv_source observed=2026-08-15T22:12:54.793715Z digest=sha256:5a87e4b3861dbb38c463b989145bf79634c3272b8faab919155377b0395e58e7

Observation eee0df70-abec-404b-94e1-542ff9137572 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Pixel Motion as Universal Representation for Robot Control $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 11

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source=arxiv_source observed=2026-08-15T22:12:54.798794Z digest=sha256:1d0e80879d66523cbe5324bd1945760b3a5ab266b50e225faea0f264ae50623b

Observation a8b0457c-0e62-486a-89a6-4bf6b5d246ec · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Pixel Motion as Universal Representation for Robot Control RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 12

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source=arxiv_source observed=2026-08-15T22:12:54.803313Z digest=sha256:f3f03deeb31cbcfce70b752e7398f27c1ee071f6ce6e49d7fe1a431c6b5d3902

Observation 81027738-6dac-4172-b089-d1f727d64862 · outbound

This paper cites an unresolved cited work.

Pixel Motion as Universal Representation for Robot Control Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-15T22:12:54.807560Z digest=sha256:a97f5d9ae9567f3ed0439de677cab36f80dbe8a043d2e5821a4b8c11e2c06d2c

Observation d8be0fd0-4710-4962-a1d7-ae91bc7b34c8 · outbound

This paper cites John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil.

Pixel Motion as Universal Representation for Robot Control John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil

Reference 14

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source=arxiv_source observed=2026-08-15T22:12:54.811547Z digest=sha256:46646f3902c483cdfcb50bd56fc7dfa7041e0f1e89a144db2734700251a88c3a

Observation 6f00f81a-8edb-40a5-9cf6-addda83d17c6 · outbound

This paper cites GR-3 Technical Report.

Pixel Motion as Universal Representation for Robot Control GR-3 Technical Report

Reference 15

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source=arxiv_source observed=2026-08-15T22:12:54.815642Z digest=sha256:b72aed2d02e977690052bd0d5adc4dc134cff172b6d52a82fae20043a8d079a1

Observation 3fc90b2d-c690-423e-8d35-afcc659b6941 · outbound

This paper cites In-The-Wild.

Pixel Motion as Universal Representation for Robot Control In-The-Wild

Reference 16

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source=arxiv_source observed=2026-08-15T22:12:54.820173Z digest=sha256:719d7bf42559b84f4cc05685ec5d5b35b96c1f45bde9d02daffe9d9a1f95ffe2

Observation 126cd332-2245-4614-97d7-ad8a8d0a2fdd · outbound

This paper cites Superconducting nitridized-aluminum thin films.

Pixel Motion as Universal Representation for Robot Control Superconducting nitridized-aluminum thin films

Reference 17

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local_arxiv, observed 2026-08-15T22:12:55.708836Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.823764Z digest=sha256:afc4a0dd2c29aec87a7ae13774c382ffb8806adacb7a3d595cd95ccebb850e00

Observation ce491a49-00ad-4d6d-95a2-99da32435beb · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Pixel Motion as Universal Representation for Robot Control Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 18

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source=arxiv_source observed=2026-08-15T22:12:54.828698Z digest=sha256:4a514f0b27089d07d7c52ac3157a4423e817668be667575183c71834b3f24cc5

Observation 805da579-8d25-4bb7-a1d9-719c51fdbe13 · outbound

This paper cites de Croon, Christophe de Wagter, and Tobias Seidl.

Pixel Motion as Universal Representation for Robot Control de Croon, Christophe de Wagter, and Tobias Seidl

Reference 19

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source=arxiv_source observed=2026-08-15T22:12:54.832746Z digest=sha256:85fbee295b65232829553419ef7df54672536136e74fc83876aa6cdae3bb53fd

Observation ef17e9d6-af6d-4dab-9887-e0b9cf42a05b · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Pixel Motion as Universal Representation for Robot Control Diffusion Models Beat GANs on Image Synthesis

Reference 20

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source=arxiv_source observed=2026-08-15T22:12:54.836604Z digest=sha256:c4bedf899947c364c6463602932dcdd177fd52d58ce7ddf6cb09120758382e5c

Observation 62b60153-e664-466e-a2dd-f9c7622a049f · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Pixel Motion as Universal Representation for Robot Control PaLM-E: An Embodied Multimodal Language Model

Reference 21

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source=arxiv_source observed=2026-08-15T22:12:54.840362Z digest=sha256:c5f6db9b2c77fe205ba2aceed69a472a80c827649e3508345ee5ed0d4feac5fc

Observation 99dadb1c-e963-4132-8608-f52889bac7a3 · outbound

This paper cites Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC.

Pixel Motion as Universal Representation for Robot Control Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Reference 22

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source=arxiv_source observed=2026-08-15T22:12:54.844979Z digest=sha256:d54a6cd2bebc1ce3147f5c1c5cb8573b8932662462f596c12a11a9907aae89ed

Observation 4bcdc975-60c8-4fb4-9dab-11aea8e063d3 · outbound

This paper cites Learning Universal Policies via Text-Guided Video Generation.

Pixel Motion as Universal Representation for Robot Control Learning Universal Policies via Text-Guided Video Generation

Reference 23

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source=arxiv_source observed=2026-08-15T22:12:54.849125Z digest=sha256:86fd996638da2759a60d48f4fcebe42f9a2f8dfe3e515d7bbc5048ac2b68c10f

Observation 62437a17-6854-4655-bae6-e97d646b247a · outbound

This paper cites Deep Visual Foresight for Planning Robot Motion.

Pixel Motion as Universal Representation for Robot Control Deep Visual Foresight for Planning Robot Motion

Reference 24

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source=arxiv_source observed=2026-08-15T22:12:54.853182Z digest=sha256:f7dc7e927dab8e171ca1abc1202228fc2ee0684692e4d733aa6ff4fd12489b5a

Observation 491efba8-76bf-4d0a-a619-63f51745c792 · outbound

This paper cites Flip: Flow-centric generative planning as general-purpose manipulation world model.

Pixel Motion as Universal Representation for Robot Control Flip: Flow-centric generative planning as general-purpose manipulation world model

Reference 25

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source=arxiv_source observed=2026-08-15T22:12:54.857349Z digest=sha256:1ae6ae48b08b80eded409dbab604db060c7d1bf65c2890ad77c640b0fa914cd8

Observation ec0b95e1-6b07-4a0f-973e-b72f4ac5b8fb · outbound

This paper cites Im2flow: Motion hallucination from static images for action recognition.

Pixel Motion as Universal Representation for Robot Control Im2flow: Motion hallucination from static images for action recognition

Reference 26

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source=arxiv_source observed=2026-08-15T22:12:54.861453Z digest=sha256:be90ca60ac2e2014ff3c7d5d7a457ed0d8c022adb89f49462f71b855144a4b10

Observation 494dd0d0-26ca-41dc-9908-ab8bf3f145e6 · outbound

This paper cites Long video generation with time-agnostic vqgan and time-sensitive transformer, 2022.

Pixel Motion as Universal Representation for Robot Control Long video generation with time-agnostic vqgan and time-sensitive transformer, 2022

Reference 27

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source=arxiv_source observed=2026-08-15T22:12:54.865332Z digest=sha256:e5ee75e37239630b16b9a6e3bbbe7d490736a0214279c7cb0aa5eaa3d2d8eaa0

Observation d4546c1a-f3ec-468b-a0e2-626194d6bcb5 · outbound

This paper cites Flight control in drosophila by visual perception of motion.

Pixel Motion as Universal Representation for Robot Control Flight control in drosophila by visual perception of motion

Reference 28

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source=arxiv_source observed=2026-08-15T22:12:54.869405Z digest=sha256:6413ab9e3c73b95f34d21f96ad2ac70ad66f5349105b594ff53fc557d8690a12

Observation ed342b03-648b-43d9-8582-5a4156666847 · outbound

This paper cites Seer: Language Instructed Video Prediction with Latent Diffusion Models.

Pixel Motion as Universal Representation for Robot Control Seer: Language Instructed Video Prediction with Latent Diffusion Models

Reference 29

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source=arxiv_source observed=2026-08-15T22:12:54.873277Z digest=sha256:8273a7e7e4acdce4bedde8b33197cf59ddff0c13d12551e79ea59d7657a066bc

Observation d9a2bba6-8360-47ab-9cb0-f5ef94b7539f · outbound

This paper cites Self-supervised Co-training for Video Representation Learning.

Pixel Motion as Universal Representation for Robot Control Self-supervised Co-training for Video Representation Learning

Reference 30

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verified exact
local_arxiv, observed 2026-08-15T22:12:55.646645Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.877505Z digest=sha256:dec993818b93f222f58bb20637bf69e2c1c318e4f2bd2501448d758475144d05

Observation 6b7a815b-960e-4731-a574-4f5ae4b42d74 · outbound

This paper cites Denoising diffusion probabilistic models.

Pixel Motion as Universal Representation for Robot Control Denoising diffusion probabilistic models

Reference 31

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unresolved
no resolver link, observed 2026-08-15T22:12:54.882215Z

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source=arxiv_source observed=2026-08-15T22:12:54.882215Z digest=sha256:ae579fffc8d00f57c4cd6e7d284896d1a8cdb3080e772fbb5d7487996b939edb

Observation bf216347-338b-4908-bb6b-de9700949b65 · outbound

This paper cites Video Diffusion Models.

Pixel Motion as Universal Representation for Robot Control Video Diffusion Models

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.317509Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.886040Z digest=sha256:db51b88418e2cce0ae80f07bd0e2e8e43cff192ca32c9208887805cfec2062b2

Observation 4067b911-21dc-4dae-b5ce-93bcecfa51c6 · outbound

This paper cites Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera.

Pixel Motion as Universal Representation for Robot Control Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera

Reference 33

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verified exact
local_arxiv, observed 2026-08-15T22:12:55.630131Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.889800Z digest=sha256:caa8486da78da16f9772a64d6a5fe4efbe9267956168e41594aa275549081db2

Observation a258e473-a430-45dc-91de-88a32b4a4216 · outbound

This paper cites Video prediction policy: A generalist robot policy with predictive visual representations.

Pixel Motion as Universal Representation for Robot Control Video prediction policy: A generalist robot policy with predictive visual representations

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.302859Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.893986Z digest=sha256:f071982e23b0e14e456763229f55215ad3df5329b1f8b0c59a95f4793715fa4c

Observation 67a17fce-1335-410d-8b93-60385ad776a8 · outbound

This paper cites Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation.

Pixel Motion as Universal Representation for Robot Control Rekep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.287141Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.898178Z digest=sha256:63993defc5964762e767e0fb3891ec64d10fec3f04331491c7710113053192b6

Observation d813ec95-42c0-45e0-96cf-d1a5a210d87a · outbound

This paper cites an unresolved cited work.

Pixel Motion as Universal Representation for Robot Control Unresolved cited work

Reference 36

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

source=arxiv_source observed=2026-08-15T22:12:54.903082Z digest=sha256:701e555a5f86d3079099c274495d9f5762e89d14617674c68a1d81e621cd95b5

Observation 587a2024-1c38-4466-babe-6698b731e2c1 · outbound

This paper cites Tenenbaum, and Sergey Levine.

Pixel Motion as Universal Representation for Robot Control Tenenbaum, and Sergey Levine

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.256688Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.907989Z digest=sha256:f02ab8c734ccaf27a64687b42eaa7496328892566ab921c4d2e4c727aade3d58

Observation ef8cea9a-7ff8-4cf7-8526-fa96d3849c44 · outbound

This paper cites Object-Centric World Model for Language-Guided Manipulation.

Pixel Motion as Universal Representation for Robot Control Object-Centric World Model for Language-Guided Manipulation

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.911523Z digest=sha256:97daaf1a663d92b0fca2fcfcd6a4e6c84596c2cfcd91c6b625df9f170e4425c3

Observation 01b127ef-18ef-4014-8a20-3af2649e2d77 · outbound

This paper cites Thinking, fast and slow, 2011.

Pixel Motion as Universal Representation for Robot Control Thinking, fast and slow, 2011

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.240709Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.915605Z digest=sha256:7960431d57c732f145cfe601cd8416c31870ddb75e986033e7758d835e07d2f8

Observation 7af56078-8abf-491c-801f-88ad92109a2a · outbound

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

Pixel Motion as Universal Representation for Robot Control OpenVLA: An Open-Source Vision-Language-Action Model

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:54.919593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.919593Z digest=sha256:220c0c46e9555968f4517e74fb6b4a0a1b1a05e6350c0d02fb04d4b15470771c

Observation e3507de8-6a0f-455f-9bed-dda6797d19aa · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

Pixel Motion as Universal Representation for Robot Control Learning to Act from Actionless Videos through Dense Correspondences

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:54.923559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.923559Z digest=sha256:4d39d9b6991c87f2e6ca58043126c0dda7ca85f6ee4fe16efe07f6c5ad095811

Observation 6ab74074-2a51-4d1f-a020-ecf0051f2afc · outbound

This paper cites Onlyflow: Optical flow based motion conditioning for video diffusion models, 2024.

Pixel Motion as Universal Representation for Robot Control Onlyflow: Optical flow based motion conditioning for video diffusion models, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.224435Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.928516Z digest=sha256:1aa40f44f5523293d1ede1b6cf4c299021bf295dffbcd52be26a493b96af579d

Observation d710e925-f0b7-47eb-a4aa-656e16ead04e · outbound

This paper cites Multi-concept customization of text-to-image diffusion, 2023.

Pixel Motion as Universal Representation for Robot Control Multi-concept customization of text-to-image diffusion, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.209410Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.932672Z digest=sha256:8fceb425b0b11693d0c6780c086b86dadbc3f7407c3dcb2dc5eac8f6344574fb

Observation 09a9898e-f15a-4e83-bc70-f7a1f52a1f9b · outbound

This paper cites Learning Plannable Representations with Causal InfoGAN.

Pixel Motion as Universal Representation for Robot Control Learning Plannable Representations with Causal InfoGAN

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.196000Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.937742Z digest=sha256:512432fe47d4b5fadf4c4998a53b0ebd5fcb4070e7310e1a32596fd47222712e

Observation f8b9b64b-92da-4f94-b6d4-617d7f942bc9 · outbound

This paper cites Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression.

Pixel Motion as Universal Representation for Robot Control Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.182538Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.941503Z digest=sha256:98273d60518585020ec343d58acfddfc1c9c80268391b903fbee2a93b32ffc17

Observation ffb2b12d-8e3e-4578-b18a-2bd42d9593c2 · outbound

This paper cites Molmoact: Action reasoning models that can reason in space.

Pixel Motion as Universal Representation for Robot Control Molmoact: Action reasoning models that can reason in space

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.166574Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.945402Z digest=sha256:ce383986d6e350131e0d7f18f808c8a1551d84a468006c0fb3ebe26b387ce194

Observation aa44993b-a3f4-4f4d-9958-575d4a682c31 · outbound

This paper cites Theodorou.

Pixel Motion as Universal Representation for Robot Control Theodorou

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.152611Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.949535Z digest=sha256:6322ac6d409cc4b2865e88917b0730d5deac0396cd49d4f849c021b4e4f2cd95

Observation be8c60bd-3dff-48aa-8ff2-c0ec98644c23 · outbound

This paper cites LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Pixel Motion as Universal Representation for Robot Control LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:54.954161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.954161Z digest=sha256:9e1566d405c992b184d7bd219242633b4c4bdfcd46363743983d8dd730b9c551

Observation e8d673e4-ef9c-497c-be04-c04c7b49a9a1 · outbound

This paper cites Movideo: Motion-aware video generation with diffusion model.

Pixel Motion as Universal Representation for Robot Control Movideo: Motion-aware video generation with diffusion model

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.138072Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.958342Z digest=sha256:ad07caa4491fc5caea9982f7c65a0160f9ecd2af8bb3ba9ed74a48c354ae12c3

Observation 21ecfb7f-aea4-4f11-a59c-a9b36a07383a · outbound

This paper cites Selflow: Self-supervised learning of optical flow.

Pixel Motion as Universal Representation for Robot Control Selflow: Self-supervised learning of optical flow

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.124629Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.963531Z digest=sha256:c24e3a2387b6689698918a474300af7add751a6187a7215f97466c218163ca0f

Observation 7c17e01a-48ce-4170-9e57-95f258ad881d · outbound

This paper cites StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects.

Pixel Motion as Universal Representation for Robot Control StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.109919Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.967692Z digest=sha256:7296dbb672c82c4c638e9cd126263485d459529620477925ed8fa262351d0b27

Observation aeb51c70-f790-4c1b-b815-9a976c311c0c · outbound

This paper cites Flowdiffuser: Advancing optical flow estimation with diffusion models.

Pixel Motion as Universal Representation for Robot Control Flowdiffuser: Advancing optical flow estimation with diffusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.094140Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.972590Z digest=sha256:9803a2ffb720847b229c370228f06cdfc617db7e4ff698608563a2e6385a7f73

Observation 0e0fd7cf-2bbe-437a-a4f8-ccf16c497b96 · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks.

Pixel Motion as Universal Representation for Robot Control Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.080278Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.977059Z digest=sha256:edba7c10c10ecb14d1780ad4f7004069ad05c88bbb3c9b57f915c06b47902e10

Observation 1037ef11-968e-4a24-97eb-9251b78d61fd · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Pixel Motion as Universal Representation for Robot Control R3M: A Universal Visual Representation for Robot Manipulation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.065045Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.980932Z digest=sha256:c4b945c8c2692b5987271608fcafd85a84df3c9d6d99c2a24514da527e3a772b

Observation 013774cc-b1e7-436a-9cc5-ed7e4d8a81a3 · outbound

This paper cites LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning.

Pixel Motion as Universal Representation for Robot Control LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:54.984719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.984719Z digest=sha256:7b5d5a801a02f492ba8b5fdf9bc53365ab09c16da7385815ba25b9dec4c5a9c4

Observation d71d82dc-9417-413d-8e25-9e51c23fc5d0 · outbound

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

Pixel Motion as Universal Representation for Robot Control GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:54.988865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.988865Z digest=sha256:02343dc49b5e5d6fcd3332bc4f9c98c50205714f47b5008fae3c001445d21fa0

Observation 0b6f8b73-6f2d-489e-bc30-af23a21de111 · outbound

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

Pixel Motion as Universal Representation for Robot Control Octo: An open-source generalist robot policy

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.050051Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:54.993496Z digest=sha256:d41e58be794ce0d53580b30d5203907c00c1e53aac8554fc1020f0f2440fe202

Observation fd7228ba-4014-4861-881b-dd8ad4d58d06 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Pixel Motion as Universal Representation for Robot Control Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:54.997751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:54.997751Z digest=sha256:f3d7c62078c4b7db36cee83e8e53c85d85314d79c21e7066e41c0a310e903fd4

Observation c0e30bbd-ed00-4270-8e1e-afcb790afffc · outbound

This paper cites The Surprising Effectiveness of Representation Learning for Visual Imitation.

Pixel Motion as Universal Representation for Robot Control The Surprising Effectiveness of Representation Learning for Visual Imitation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.034284Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.001981Z digest=sha256:dc5345e3decd3a849aec5fcfcce3e72cc0cb1f6a066b8fd40d5e1e003d8b154f

Observation cdf3dfca-98ec-4242-8c23-270a5775d487 · outbound

This paper cites Language models are unsupervised multitask learners, 2019.

Pixel Motion as Universal Representation for Robot Control Language models are unsupervised multitask learners, 2019

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.005689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.005689Z digest=sha256:f5b35e466a858e2cc02ed0cabb521b56f01f5e170a08c56aef9b28639afbb6fb

Observation eecfdd42-9374-4214-8239-94d332220901 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Pixel Motion as Universal Representation for Robot Control Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.009774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.009774Z digest=sha256:5f50c19094e4813060602ce20503d5ebcef10b4d2ef804e049f8e03c9f296a21

Observation 82a4919c-73aa-4460-a803-ded849f1e504 · outbound

This paper cites A generalist agent.

Pixel Motion as Universal Representation for Robot Control A generalist agent

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:56.014480Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.014568Z digest=sha256:68491b19e474720ec8576086e6d535e5034d4dcc113c991c359e91b62e35b449

Observation 3958c491-b294-4844-8753-340411024397 · outbound

This paper cites Motion tracks: A unified representation for human-robot transfer in few-shot imitation learning.

Pixel Motion as Universal Representation for Robot Control Motion tracks: A unified representation for human-robot transfer in few-shot imitation learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.018736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.018736Z digest=sha256:610b170b39a2c82e99f5304c2065441757de7c27ce0a493c083147fd3e2fbe47

Observation 67dc76cb-9b5c-41f8-8b18-eeaea24ba5d2 · outbound

This paper cites Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model.

Pixel Motion as Universal Representation for Robot Control Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.023180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.023180Z digest=sha256:4710135835758e082b74729e38c9b71e76ddddae0c212e001c36258ecdef0e85

Observation cd5c73b8-0761-4084-9fbd-f75753803ae1 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

Pixel Motion as Universal Representation for Robot Control U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.027741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.027741Z digest=sha256:aabfbf4145c9466f0316e133d34c6879c721a8d9cfd3160e8b8d8e4c1742deec

Observation d16af67d-18a0-4d88-bdbc-5e4c9bdc7980 · outbound

This paper cites Ros and Andrew A.

Pixel Motion as Universal Representation for Robot Control Ros and Andrew A

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.994209Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.033084Z digest=sha256:c846c5556eb4f50314e8af12ed2281640142a074d33641532613dcd1d9a959b7

Observation 45d71a07-9d45-41c1-bd8c-25cb02d063da · outbound

This paper cites The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.

Pixel Motion as Universal Representation for Robot Control The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.037499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.037499Z digest=sha256:18c62618fac498951e4b16e1240bbf717b0c708dc3e66d27713ca28fb9e47f0f

Observation 571a7b32-a0d3-42ea-a653-3482fb3cd317 · outbound

This paper cites Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations.

Pixel Motion as Universal Representation for Robot Control Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.980961Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.041920Z digest=sha256:5e52c44300811d05f0082867c63057bfeee65fe25b6e550d824345436c3aeaa9

Observation 8bd1ce42-959e-465c-b5fc-22eb7bf5dd8e · outbound

This paper cites Third-person visual imitation learning via decoupled hierarchical controller.

Pixel Motion as Universal Representation for Robot Control Third-person visual imitation learning via decoupled hierarchical controller

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.967857Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.046167Z digest=sha256:8fc2d0e41d3c246603adaaf2ad8946da754845657ecb507b3c4028bd48609c3d

Observation a8f067d7-f9e4-4379-be87-4c5ff5a79e76 · outbound

This paper cites Pixel-level Correspondence for Self-Supervised Learning from Video.

Pixel Motion as Universal Representation for Robot Control Pixel-level Correspondence for Self-Supervised Learning from Video

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:12:55.443452Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.050003Z digest=sha256:4c800e328af6ce739da8da6eb9be8db61fb7af6e858de2b71a1c6b93a67f113a

Observation ee46f79a-00e2-4042-91a0-6a5e0b975fa8 · outbound

This paper cites Zeromimic: Distilling robotic manipulation skills from web videos, 2025 a.

Pixel Motion as Universal Representation for Robot Control Zeromimic: Distilling robotic manipulation skills from web videos, 2025 a

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.952184Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.053914Z digest=sha256:5dee73a269e0f64af4e73f08c20a2026a4726566dd5917310eb0fb81a4b34814

Observation 1c4be4ca-def9-4848-a7c2-abf479880a69 · outbound

This paper cites Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models.

Pixel Motion as Universal Representation for Robot Control Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.058096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.058096Z digest=sha256:c49c92779b3c9556540eb28c0e96480ebb0f623631293bf7a5243c724e4d896a

Observation 663234a5-dc0a-4091-b6bc-81df4502c42b · outbound

This paper cites Generative Image as Action Models.

Pixel Motion as Universal Representation for Robot Control Generative Image as Action Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.063154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.063154Z digest=sha256:c31669bd0f8dbf5164e34fc1dc77003a81a1aa1863f49ea3a825e59100f99e97

Observation ec44e0cf-e17d-40d7-9a60-f3139b3f9fa4 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data, 2022.

Pixel Motion as Universal Representation for Robot Control Make-a-video: Text-to-video generation without text-video data, 2022

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.068835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.068835Z digest=sha256:6c0acd60e37cb6e5741f663f0e352743e70b7920fbac03b9b39ff755f4695787

Observation 78b32db4-8973-485c-a2f3-a20c4f54a6cd · outbound

This paper cites Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube.

Pixel Motion as Universal Representation for Robot Control Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.928388Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.072734Z digest=sha256:5026fcc4796f577c5c8bbf60c2a4755aca03c38f08bad26ab537a3c14a2fc8a0

Observation f911ac13-f4d4-47ef-94a0-f78de5fea16c · outbound

This paper cites History-guided video diffusion, 2025.

Pixel Motion as Universal Representation for Robot Control History-guided video diffusion, 2025

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.076392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.076392Z digest=sha256:7714b59ef167284498ff97751162b78e845f212892943491510a312e394b49b6

Observation 006000ef-2824-4b90-af7c-3ed0bbece8d9 · outbound

This paper cites Controlling the World by Sleight of Hand.

Pixel Motion as Universal Representation for Robot Control Controlling the World by Sleight of Hand

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.080325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.080325Z digest=sha256:e9710e8cdb0af7e9780bb11e9bb5e88342da381e41784577d785ffadde44b667

Observation 68550694-9578-42ec-b241-f630cc50052d · outbound

This paper cites Neural program synthesis from diverse demonstration videos.

Pixel Motion as Universal Representation for Robot Control Neural program synthesis from diverse demonstration videos

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.905973Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.084865Z digest=sha256:ff323a564b6b0f50a9efaafee3250e29d2d50a375cbdc5ca5866c21b5789181b

Observation 8e50f206-5e81-4516-b085-f271b01af635 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Pixel Motion as Universal Representation for Robot Control Raft: Recurrent all-pairs field transforms for optical flow

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.894065Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.088983Z digest=sha256:98ce7066fc86d3d747423e5cc1ce83c587af26759494474180905fab42858e53

Observation 2fcd7fe9-615e-45b8-a18c-754966571a55 · outbound

This paper cites Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation.

Pixel Motion as Universal Representation for Robot Control Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.093023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.093023Z digest=sha256:ef88239889013f4a608b05a1d93379a63c17aa355abe4ede8a2501b207c29234

Observation 5d092bb0-930b-42c1-acf9-e77def4894eb · outbound

This paper cites Phenaki: Variable length video generation from open domain textual description, 2022.

Pixel Motion as Universal Representation for Robot Control Phenaki: Variable length video generation from open domain textual description, 2022

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.882052Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.097909Z digest=sha256:92983f4995e5022c7c3e5144942cc430ee585eeeea0f5dab39d2d92c82fa4379

Observation cfac3b31-e61f-4d22-b12d-c26f36cda912 · outbound

This paper cites Dense optical flow prediction from a static image.

Pixel Motion as Universal Representation for Robot Control Dense optical flow prediction from a static image

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.870135Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.102445Z digest=sha256:b57a07a387c90cff7cb1cca2f941c1d95c10997094c3432cfc02aebc8fc0996e

Observation b047333d-5cf7-4361-8071-52d85836e7bd · outbound

This paper cites Diffusion Model-Augmented Behavioral Cloning.

Pixel Motion as Universal Representation for Robot Control Diffusion Model-Augmented Behavioral Cloning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.106896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.106896Z digest=sha256:1b7091938c1e03d002fc26734d38dcd40031227fe0d3a3633c74a5862f04b994

Observation 4e3b2132-b0d9-4708-bf8e-d24d3f4d1e38 · outbound

This paper cites Any-point trajectory modeling for policy learning.

Pixel Motion as Universal Representation for Robot Control Any-point trajectory modeling for policy learning

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.856510Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.111731Z digest=sha256:d15075c0010b7660d2641633e385c0fa78d3b682f6a144e434e1566e8a5a1f0b

Observation 2084c354-9cde-4778-a3bb-1f09efdb24ff · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

Pixel Motion as Universal Representation for Robot Control Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.115980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.115980Z digest=sha256:e14a9630c25bcf3270eb7a1b7b27c1097faf3ba6cd8eefd81511d72a77cf61fe

Observation 2cda5f74-005c-4d6c-88cc-7a77ca1b2222 · outbound

This paper cites GMFlow: Learning Optical Flow via Global Matching.

Pixel Motion as Universal Representation for Robot Control GMFlow: Learning Optical Flow via Global Matching

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.842730Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.120514Z digest=sha256:e7055e126fe07377cf989460994b3e8e729c493613c0d3d1055dfd12903b2071

Observation 8b0183bf-a487-4e6e-95ae-1334a514aac8 · outbound

This paper cites Flow as the cross-domain manipulation interface.

Pixel Motion as Universal Representation for Robot Control Flow as the cross-domain manipulation interface

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.829469Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.124462Z digest=sha256:a81c8e408971b8610715fc9d6d9afdcb58cf669e244f43db45bdf6d41dfc9dc1

Observation 5c229d40-53bb-4229-9101-7488c35468bc · outbound

This paper cites Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.

Pixel Motion as Universal Representation for Robot Control Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.815483Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.129054Z digest=sha256:92bdabcbc8bb49e4841b2e2c971827db6a1853e9c937c5e65661cc26de1e0bf0

Observation 42589bd7-0882-4556-a611-1b1d7ecda6a1 · outbound

This paper cites General Flow as Foundation Affordance for Scalable Robot Learning.

Pixel Motion as Universal Representation for Robot Control General Flow as Foundation Affordance for Scalable Robot Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.133106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.133106Z digest=sha256:cdecdb9a997048b8adcd8377ebe30c974f4052b8268706273825cf45b87a2952

Observation 76c23de5-1cb1-4420-aa71-f3125f94393a · outbound

This paper cites RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.

Pixel Motion as Universal Representation for Robot Control RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.137394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.137394Z digest=sha256:fce62068e275e8a44b6894f8fb4447f08fab9746b0fbe9237552bd7918aff513

Observation ea8ca035-3190-443c-bf4f-f98f940a62bb · outbound

This paper cites Robotic control via embodied chain-of-thought reasoning.

Pixel Motion as Universal Representation for Robot Control Robotic control via embodied chain-of-thought reasoning

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:12:55.801468Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T22:12:55.141524Z digest=sha256:0d73befde7d35407796569abb2eb02fcb9f8622542c43120efa28a06175be29b

Observation ebe29658-6ad5-4462-a630-ed50b7da664c · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

Pixel Motion as Universal Representation for Robot Control Adding conditional control to text-to-image diffusion models, 2023

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.145239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.145239Z digest=sha256:6454946769e92238ea19a7b451d11a4ddd689dc925b477bc8bee1ce776a98e6d

Observation a3cab248-49f6-453c-9eda-72a3033fe4c6 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Pixel Motion as Universal Representation for Robot Control MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.149229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.149229Z digest=sha256:0b78dc86c1c76573e934a8ed4a0352072ad145f7ca6f6f4f1ce75d934cadcaac

Observation 34650779-ad36-4fb9-9f84-6c7b3cbfe9c2 · outbound

This paper cites DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge.

Pixel Motion as Universal Representation for Robot Control DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.153938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.153938Z digest=sha256:ac84582921b96ea859c50a54a587b2e147b01c35123e5780ce54b9d79311b4a0

Observation 757e11c2-aa7a-49ce-acc7-7909657b640a · outbound

This paper cites Universal Actions for Enhanced Embodied Foundation Models.

Pixel Motion as Universal Representation for Robot Control Universal Actions for Enhanced Embodied Foundation Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.159016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.159016Z digest=sha256:a0eb39491650c835c565c2341a7451b98c8eed3b0e829a5f12d558f0938ff64b

Observation 9a8d16ba-31bb-4f3d-8dbc-018804c48403 · outbound

This paper cites TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Pixel Motion as Universal Representation for Robot Control TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.163015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.163015Z digest=sha256:22da02f05ea6d36cba167fc2495f608723e0394f43088fbfc5d3e00921258dd9

Observation a68576da-d0b6-461d-8ad0-c727ead6a25a · outbound

This paper cites @esa (Ref.

Pixel Motion as Universal Representation for Robot Control @esa (Ref

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.167484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.167484Z digest=sha256:f7b792dad711a8380d2bae9475d0fb55c9a8b4bf0ed1a965f223d3ee8dd53bee

Observation 87f230cd-c735-4a82-a891-28c0f6fe34e5 · outbound

This paper cites an unresolved cited work.

Pixel Motion as Universal Representation for Robot Control Unresolved cited work

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-15T22:12:55.172510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.172510Z digest=sha256:80190c1cb75f315ce9b632ca660b632b3880f60a518692947e7df238f23466b7

Observation 55e62ab3-3929-408c-b847-d59637e3fac2 · outbound

This paper cites ) leads to a modest performance drop (from 53.6\ Removing the previous optical flow input (``Prev Flow.

Pixel Motion as Universal Representation for Robot Control ) leads to a modest performance drop (from 53.6\ Removing the previous optical flow input (``Prev Flow

Reference 99

Resolution
malformed identifier
no resolver link, observed 2026-08-15T22:12:55.177124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:12:55.177124Z digest=sha256:c7c85ddb7780a31bf8008b16c55bd574d87629321a7d7a59e3700e75820a8092

Pith citing papers

Observation a403d4c8-0729-4cf5-8930-45045c11642f · inbound

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge cites this paper.

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Pixel Motion as Universal Representation for Robot Control

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:42:41.509367Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-16T15:42:41.363422Z digest=sha256:eaaccf73726094b633618763c348346704de34725874615b38175f39db5ecb94

Observation efffbfc7-01ee-48bc-ab2b-e7b7dc56b9f7 · inbound

Point Tracking Improves World Action Models cites this paper.

Point Tracking Improves World Action Models Pixel Motion as Universal Representation for Robot Control

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:56:37.185041Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-25T03:51:10.921839Z digest=sha256:9a79503e3212022410ca4995f1ef1b6fe0997552fdca2f11c5b620145347eeb6

Observation 1683184d-5b0a-42f4-bcfc-4fb682196d5f · inbound

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation cites this paper.

OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation Pixel Motion as Universal Representation for Robot Control

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:33:59.296739Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T21:27:26.682689Z digest=sha256:a9fb1211867696addaed5b419829d9fc47fc98c97af51a7f0f6c36f14bb5f497

Observation 0eb571eb-9903-4074-a40b-614adabc6a67 · inbound

DynamicWAM: Dual-Path Motion Conditioning for World-Action Models in Dynamic Manipulation cites this paper.

DynamicWAM: Dual-Path Motion Conditioning for World-Action Models in Dynamic Manipulation Pixel Motion as Universal Representation for Robot Control

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T00:16:06.186485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:16:06.186485Z digest=sha256:a77d17bfb6c5f84d4e4624a2105ef6e3bae16577f6ae4eaf64df2747a7c771e5

Observation 6255cc89-021c-400e-98d5-026a51ec4025 · inbound

DynamicWAM: Dual-Path Motion Conditioning for World-Action Models in Dynamic Manipulation cites this paper.

DynamicWAM: Dual-Path Motion Conditioning for World-Action Models in Dynamic Manipulation Pixel Motion as Universal Representation for Robot Control

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:33.115136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:33.115136Z digest=sha256:662014d7d5ac7131be86ecd5d0bb2701834dc5a31d90e7cc18e97fdd56963473