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Paper Citation Record · LEDGER

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction

As of 8 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2607.16192.

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

pith.paper-citation-record.v1
2607.16192 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:08:11.723353Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

87 of 87 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved81
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d39d198-f022-4dfb-a2e2-1d4a6c753b96 · outbound

This paper cites Gibson.The Ecological Approach to Visual Perception.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Gibson.The Ecological Approach to Visual Perception

Reference 1

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source=pdf_text observed=2026-08-01T21:08:02.926217Z digest=sha256:dc82cb130cb8f3ab42fe51f723f21bbb254e0c2cbfc2b8591ac214ff3d8364b9

Observation d03305c0-239c-434e-a55a-57363f14e8a7 · outbound

This paper cites MIT Press, Cambridge, MA, 1979.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction MIT Press, Cambridge, MA, 1979

Reference 2

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Observation bbd53c76-1089-4357-a1b9-ab23afc9f07b · outbound

This paper cites Battaglia, Jessica B.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Battaglia, Jessica B

Reference 3

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source=pdf_text observed=2026-08-01T21:08:03.065262Z digest=sha256:30affb41513dfe74c98bcf29e0d4bd1ee197ed354ed1f73b7c275496f77dd8cd

Observation d0e28455-666f-445c-abff-0edd9914eabd · outbound

This paper cites Rational imitation in preverbal infants.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Rational imitation in preverbal infants

Reference 4

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Observation 2d2c935f-c823-4426-a51b-c3b1b8deba94 · outbound

This paper cites MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction

Reference 5

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Observation 8bda7ddf-e769-428a-b03a-0e6824903cce · outbound

This paper cites Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision

Reference 6

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source=pdf_text observed=2026-08-01T21:08:03.385771Z digest=sha256:4915efa0ecd511cfe09ce64e22dc47526167d42d76a25e342f5b8c47454c137f

Observation 1cf48797-d72c-4276-9406-c87c7738e523 · outbound

This paper cites ObjectForesight: Predicting future 3d object trajectories from human videos.arXiv preprint arXiv:2601.05237,.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction ObjectForesight: Predicting future 3d object trajectories from human videos.arXiv preprint arXiv:2601.05237,

Reference 7

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source=pdf_text observed=2026-08-01T21:08:03.492409Z digest=sha256:fbd911c6b9a6f29f730d08dad0196a5007a4a68e8a23ce432f8abd1303e7649e

Observation c80709e4-a0dd-4dd1-99f0-f06e8c906c05 · outbound

This paper cites Track2Act: Predicting point tracks from internet videos enables generalizable robot manipulation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Track2Act: Predicting point tracks from internet videos enables generalizable robot manipulation

Reference 8

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source=pdf_text observed=2026-08-01T21:08:03.635971Z digest=sha256:89ea02a0e442ea3e23d7dd3675fd815f30aa5b4d2ee5df9ad876334ce7333de1

Observation bce010d1-35c8-4f0b-86fa-a15beb351f7e · outbound

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

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Any-point trajectory modeling for policy learning

Reference 9

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source=pdf_text observed=2026-08-01T21:08:03.706598Z digest=sha256:91f9fd79a52b77eced91198b2a232d461357ff8b396cd4817055d61ee220816a

Observation 9690d49b-e4c6-466d-b566-0dadabbccf18 · outbound

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

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Motion tracks: A unified representation for human-robot transfer in few-shot imitation learning

Reference 10

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Observation e64d958b-996c-4fcc-9cfe-ccb10ac21c48 · outbound

This paper cites TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking

Reference 11

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Observation 087b81c3-1dc9-4d99-ba17-7b733fff36da · outbound

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

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Wan: Open and Advanced Large-Scale Video Generative Models

Reference 12

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Observation 3f0398c3-181a-41c3-b9a5-97ec90990127 · outbound

This paper cites World Models.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction World Models

Reference 13

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source=pdf_text observed=2026-08-01T21:08:04.239228Z digest=sha256:5f6ae44952cb7673d7f91e9c3f5a9fbabba8229cef6664af8fb4e8ec0b34b65d

Observation d9b9b770-c82c-46d0-8c57-c891333c70aa · outbound

This paper cites Deep visual foresight for planning robot motion.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Deep visual foresight for planning robot motion

Reference 14

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source=pdf_text observed=2026-08-01T21:08:04.319399Z digest=sha256:303ff34931289cb1065fef7b740ef45babc327e3860e9f6bfe30945838b69ee6

Observation c87fa03f-70e7-46f4-8821-70dae328a2a8 · outbound

This paper cites Decomposing motion and content for natural video sequence prediction.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Decomposing motion and content for natural video sequence prediction

Reference 15

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source=pdf_text observed=2026-08-01T21:08:04.476158Z digest=sha256:8adc64d21d695ef2feaac9bfd9d6e5b4a038fc2f61c7bf514010c9fe7cbf0118

Observation 753e912b-c894-4b5d-9962-357c5d639f3b · outbound

This paper cites An uncertain future: Forecasting from static images using variational autoencoders.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction An uncertain future: Forecasting from static images using variational autoencoders

Reference 16

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Observation a50c7708-3445-4e27-839f-f57d9922ba80 · outbound

This paper cites Gen2Act: Human video generation in novel scenarios enables generalizable robot manipulation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Gen2Act: Human video generation in novel scenarios enables generalizable robot manipulation

Reference 17

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Observation 1100d987-5939-4465-b9b4-f12699bcbece · outbound

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

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Video prediction policy: A generalist robot policy with predictive visual representations

Reference 18

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Observation 7f9ff0f1-8422-46a8-be47-7dbe75bb07f2 · outbound

This paper cites Video Generators are Robot Policies.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Video Generators are Robot Policies

Reference 19

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Observation 8e4f0d75-d026-45bd-97a7-bd898ba0f5c4 · outbound

This paper cites Learning latent action world models in the wild.arXiv preprint arXiv:2601.05230,.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Learning latent action world models in the wild.arXiv preprint arXiv:2601.05230,

Reference 20

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Observation 9ed41a93-fa35-4286-901f-ac6f8d820a08 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 21

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Observation 4b9539c2-08a6-45ce-b59c-5ae20fb9871b · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 22

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Observation 32141199-f808-498b-9cc5-f0bb2f6023c9 · outbound

This paper cites Contrastive learning of structured world models.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Contrastive learning of structured world models

Reference 23

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Observation 02b630b1-2d65-4c8a-b075-e9e626c7878b · outbound

This paper cites SomethingSomething.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction SomethingSomething

Reference 24

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Observation 1bbda2fb-e58b-4128-8d26-d3346919153a · outbound

This paper cites Doell, and Jason J.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Doell, and Jason J

Reference 25

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Observation 8cdc7013-fb8c-43fa-ad6a-df4845f3e0b4 · outbound

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MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

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Observation 473d728d-24be-4b5f-87cf-02ee5cfcb27b · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 27

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Observation 953f0aa9-b9fd-459b-ba01-e36412422fb6 · outbound

This paper cites Dream to con- trol: Learning behaviors by latent imagination.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Dream to con- trol: Learning behaviors by latent imagination

Reference 28

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Observation bd1e8057-cea0-43dd-baf6-d87a3ac50b93 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-01T21:08:05.980579Z digest=sha256:0e8530e85951486c40a5074d9deee489723b57e25c93dacf2aeedb4c4051fcb0

Observation 4a1824d8-df7d-4e9a-b31c-c7bb4249840b · outbound

This paper cites Human–object interaction prediction in videos through gaze following.Computer Vision and Image Understanding, 233: 103741, 2023.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Human–object interaction prediction in videos through gaze following.Computer Vision and Image Understanding, 233: 103741, 2023

Reference 30

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Observation 28f98bed-959a-4dfa-a104-25a34c397f0c · outbound

This paper cites ContactGrasp: Functional multi-finger grasp synthesis from contact.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction ContactGrasp: Functional multi-finger grasp synthesis from contact

Reference 31

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Observation f4b6d1d4-f3e4-4285-95bb-caece6d5123b · outbound

This paper cites Scaling egocentric vision: The EPIC-KITCHENS dataset.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Scaling egocentric vision: The EPIC-KITCHENS dataset

Reference 32

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Observation 6600dc5b-fb2b-45f6-be4f-83e9b0bfee58 · outbound

This paper cites Joint hand motion and interaction hotspots prediction from egocentric videos.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Joint hand motion and interaction hotspots prediction from egocentric videos

Reference 33

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Observation a96a30c3-7ded-4cbc-9596-7776ff9e10c2 · outbound

This paper cites Ego4D: Around the world in 3,000 hours of egocentric video.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Ego4D: Around the world in 3,000 hours of egocentric video

Reference 34

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Observation 9861203a-874f-4111-bbe6-da276283adea · outbound

This paper cites Newtonian image understanding: Unfolding the dynamics of objects in static images.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Newtonian image understanding: Unfolding the dynamics of objects in static images

Reference 35

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Observation 25f96095-8223-46c0-8564-fe4458022f59 · outbound

This paper cites Grounded human-object interaction hotspots from video.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Grounded human-object interaction hotspots from video

Reference 36

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Observation d35973f7-524c-441d-b48e-44a2322d0f3d · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

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source=pdf_text observed=2026-08-01T21:08:06.542986Z digest=sha256:8fb779ef7fdddfd783a3dcd58a93342a3e2650bbbfec74211cde0120b25a33d6

Observation 77876ee3-c8f6-420f-bd4d-343a2f6197ff · outbound

This paper cites Human hands as probes for interactive object understanding.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Human hands as probes for interactive object understanding

Reference 38

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source=pdf_text observed=2026-08-01T21:08:06.187309Z digest=sha256:00462f456d9d6e9f834cac1ad5441ee40736d61ea9b680bb659f659fd1749c37

Observation 89482c55-4d31-4fb9-8ee6-08a30eaafcdd · outbound

This paper cites HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction

Reference 39

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source=pdf_text observed=2026-08-01T21:08:06.701306Z digest=sha256:a57ef73a8441df7cdb18cffcfcefa658e128064e3a240b0bbed1975e46f4b1f1

Observation 1b0d3e2b-9ea3-4c8f-a196-90e97a5d8159 · outbound

This paper cites Guibas, Mustafa Mukadam, Abhinav Gupta, and Shubham Tulsiani.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Guibas, Mustafa Mukadam, Abhinav Gupta, and Shubham Tulsiani

Reference 40

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source=pdf_text observed=2026-08-01T21:08:06.350657Z digest=sha256:06db93010318cba5b9b3cd71cd431fcfd6374ac56b9b1109a8db2a3cba62c6f4

Observation 40f5bd1d-9f4e-44de-8485-c8dfc00899db · outbound

This paper cites Mask2Act: Predictive multi-object tracking as video pre- training for robot manipulation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Mask2Act: Predictive multi-object tracking as video pre- training for robot manipulation

Reference 41

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source=pdf_text observed=2026-08-01T21:08:06.862084Z digest=sha256:a8cd2efffd9976afe1d3c3880e8776c0e3d5498d80b8b3b191a14cf0b6643c2a

Observation 15ac6c39-325d-4f71-8259-117316dd7cce · outbound

This paper cites 3d hand shape and pose estimation from a single RGB image.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction 3d hand shape and pose estimation from a single RGB image

Reference 42

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source=pdf_text observed=2026-08-01T21:08:06.937012Z digest=sha256:966225c54127cef53556a68bf6aa9168737c173470f57926311dbb6ce7405c0d

Observation 67cc1d18-74fd-4728-86f7-c66bb7808793 · outbound

This paper cites Black, Ivan Laptev, and Cordelia Schmid.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Black, Ivan Laptev, and Cordelia Schmid

Reference 43

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source=pdf_text observed=2026-08-01T21:08:06.997853Z digest=sha256:8e0ad097047cbc3638929e00fc4c26b91fa86b6605cf3ec11ad56f06d5d6676a

Observation a11e4dc1-4bf6-415b-8744-3c91d1691522 · outbound

This paper cites Guide to the carnegie mellon university multimodal activity (CMU- MMAC) database.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Guide to the carnegie mellon university multimodal activity (CMU- MMAC) database

Reference 44

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source=pdf_text observed=2026-08-01T21:08:06.621031Z digest=sha256:53528cdd50854836c6a43d5cbb7b69ac5fec5078e3951af9036e7bc456627718

Observation 3220aa4f-8613-4118-85e8-fc111bbb4453 · outbound

This paper cites FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

Reference 45

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source=pdf_text observed=2026-08-01T21:08:07.169924Z digest=sha256:826df842c540ae7ebaf2dedf26ebbe47384a5eecd877dc2d80af4767a62d10e5

Observation d9bdb4bc-e81e-437a-8366-c16a7e260967 · outbound

This paper cites Flowing from reasoning to motion: Learning 3d hand trajectory prediction from egocentric human interaction videos.arXiv preprint arXiv:2512.16907, 2025.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Flowing from reasoning to motion: Learning 3d hand trajectory prediction from egocentric human interaction videos.arXiv preprint arXiv:2512.16907, 2025

Reference 46

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source=pdf_text observed=2026-08-01T21:08:06.765398Z digest=sha256:cf4244aa6f2501f6899a9a6722ded445d12964680493fdbf7be341c485be432b

Observation 1fe054e9-fb57-44f8-829e-1c20f51eed55 · outbound

This paper cites PVN3D: A deep point-wise 3d keypoints voting network for 6dof pose estimation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction PVN3D: A deep point-wise 3d keypoints voting network for 6dof pose estimation

Reference 47

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source=pdf_text observed=2026-08-01T21:08:07.512912Z digest=sha256:9b4a690f70867fa8f69001837b11e9b8af200a07d80dce204ed08ff469d93d6e

Observation faf6970f-f887-4b33-88b6-96d3a0ea3221 · outbound

This paper cites Segmentation-driven 6d object pose estimation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Segmentation-driven 6d object pose estimation

Reference 48

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source=pdf_text observed=2026-08-01T21:08:07.668258Z digest=sha256:926c0108e1c85ec93602868d0c8ce808f6fda8c4a8bc1374a5a524a9aec2b5d8

Observation d98d81c3-be80-42ac-9b5e-29ad52b51ad2 · outbound

This paper cites SSD-6D: Making RGB-based 3d detection and 6d pose estimation great again.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction SSD-6D: Making RGB-based 3d detection and 6d pose estimation great again

Reference 49

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source=pdf_text observed=2026-08-01T21:08:07.824655Z digest=sha256:5dde64dd85ee70d6b91f0d255c5b5f64d7424cb5823b4f64caf63d473dc7292b

Observation ed9f48a8-f0cb-4d1e-a57b-8940e5e0bfde · outbound

This paper cites Hand pose estimation via latent 2.5d heatmap regression.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Hand pose estimation via latent 2.5d heatmap regression

Reference 50

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source=pdf_text observed=2026-08-01T21:08:07.013467Z digest=sha256:c1481d28413aa0ab34d48762cfabd2cfb77371850a19b1f6d4407d39edd98b0c

Observation 194c8f67-903d-4bc5-843f-52ea3333300a · outbound

This paper cites SAM 2: Segment anything in images and videos.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction SAM 2: Segment anything in images and videos

Reference 51

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source=pdf_text observed=2026-08-01T21:08:08.108094Z digest=sha256:ddd959c61a70b04944d6128ee7542d2854b8023845a773da87efc535d3acc5ff

Observation dcc1f61a-bf86-45de-acd4-d0d05a6e7958 · outbound

This paper cites Learning to estimate 3d hand pose from single RGB images.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Learning to estimate 3d hand pose from single RGB images

Reference 52

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source=pdf_text observed=2026-08-01T21:08:07.316576Z digest=sha256:dbb6dd02d53059ee75a3a560bcd4e3854d3b999bb075aff36d700506985f1c85

Observation cb77d25c-bb1b-41b1-af3d-7341aa9f23b9 · outbound

This paper cites SAM 3D: 3Dfy Anything in Images.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction SAM 3D: 3Dfy Anything in Images

Reference 53

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source=pdf_text observed=2026-08-01T21:08:08.479185Z digest=sha256:3184b1caba9c2ae1a65c87b0695429f279e3389667fd502cc8fbf71da698c333

Observation b8676e74-e36d-49b0-b586-145764dc2d84 · outbound

This paper cites Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Self-supervised point cloud prediction using 3d spatio-temporal convolutional networks

Reference 54

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source=pdf_text observed=2026-08-01T21:08:08.666083Z digest=sha256:b0a25623a38dcd5681db0a1ee77b526ce7f7ed60570193b76b30a977226bad06

Observation dcb1968e-f585-4a5f-b4fc-df833d9e205d · outbound

This paper cites Visual point cloud forecasting enables scalable autonomous driving.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Visual point cloud forecasting enables scalable autonomous driving

Reference 55

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source=pdf_text observed=2026-08-01T21:08:09.071412Z digest=sha256:f516bbd33667c846caa04e2110a5f6c96d96847b1e641e4690391a0114858048

Observation 2afc36e2-8916-407f-a0dd-8b9557e5cfc2 · outbound

This paper cites PoseCNN: A convo- lutional neural network for 6d object pose estimation in cluttered scenes.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction PoseCNN: A convo- lutional neural network for 6d object pose estimation in cluttered scenes

Reference 56

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source=pdf_text observed=2026-08-01T21:08:07.942149Z digest=sha256:ca4555938cb23e668b8a7c5f839e3481eef943076172c4f5b9dbb2ed3527afb5

Observation 4fc5edd6-1945-4d90-96e5-ff75231c0e07 · outbound

This paper cites ManipTrans: Efficient dexterousbimanualmanipulationtransferviaresiduallearning.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction ManipTrans: Efficient dexterousbimanualmanipulationtransferviaresiduallearning

Reference 57

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source=pdf_text observed=2026-08-01T21:08:09.493365Z digest=sha256:2f97799efd764ad4de3b1e0539022b223190ad320b12402a372e7c833fa738a1

Observation 502a4ad2-0f4d-458c-8697-ea0593e37f38 · outbound

This paper cites Structured 3d latents for scalable and versatile 3d generation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Structured 3d latents for scalable and versatile 3d generation

Reference 58

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source=pdf_text observed=2026-08-01T21:08:08.328003Z digest=sha256:6f32024eafea2c25bd0238bd712732b5397f873bb3adbda05e4bd543d4747ed5

Observation 3dbe438d-aa1a-46c2-81a9-1f624dfa8f43 · outbound

This paper cites World models for learn- ing dexterous hand-object interactions from human videos.arXiv preprint arXiv:2512.13644,.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction World models for learn- ing dexterous hand-object interactions from human videos.arXiv preprint arXiv:2512.13644,

Reference 59

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source=pdf_text observed=2026-08-01T21:08:09.950434Z digest=sha256:de3e9d2abba4e13c842f201fe3f558cd24a7bfcc251f71b0261aad55fe1b0539

Observation 46e02707-70f1-4da8-b826-125d87fe3ebe · outbound

This paper cites Qi, and Leonidas J.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Qi, and Leonidas J

Reference 60

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source=pdf_text observed=2026-08-01T21:08:10.208378Z digest=sha256:f6b80875937d22bd7ed60763a51abe0e0ce4979e5ba9c28815eb1c106f42444d

Observation 5dc331fd-2879-43ad-b8c8-0ca2850087af · outbound

This paper cites Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, and Leonidas J.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, and Leonidas J

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source=pdf_text observed=2026-08-01T21:08:10.378846Z digest=sha256:710a6debf1bfc7fa26ee229857e46929321ec0b5d0d975a67802275ab4e45996

Observation dc4884ea-653d-4f14-8da4-9e7b9ec9ede5 · outbound

This paper cites ViP3D: End-to-end visual trajectory prediction via 3d agent queries.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction ViP3D: End-to-end visual trajectory prediction via 3d agent queries

Reference 63

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source=pdf_text observed=2026-08-01T21:08:09.331914Z digest=sha256:55b1f6b850deae84050b379ef166a317295e28e78dd181ad6b584125f9dd5917

Observation 3a497286-20c1-4af7-8ded-d241fcc3674c · outbound

This paper cites DELTA: Dense efficient long-range 3d tracking for any video.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction DELTA: Dense efficient long-range 3d tracking for any video

Reference 64

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source=pdf_text observed=2026-08-01T21:08:10.583837Z digest=sha256:ddc97b90487795f9e0a275e6cffcd40270558627128720eef9a51af0dc68390a

Observation ee2324a4-746d-4784-92aa-399747a27aee · outbound

This paper cites PointWorld: Scaling 3d world models for in-the-wild robotic manipulation.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction PointWorld: Scaling 3d world models for in-the-wild robotic manipulation

Reference 65

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source=pdf_text observed=2026-08-01T21:08:09.689219Z digest=sha256:7fe697872a94a90bf8cf80993fd9412b46763f51358e6dbe234926fd104daf0e

Observation b8eef71c-872c-4323-ad24-6e9a93874599 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick

Reference 66

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source=pdf_text observed=2026-08-01T21:08:10.736636Z digest=sha256:1541b84af51fc0600deab2a45dbdb2f00a84916cd3e5eb6428be6b22500478f9

Observation 22762334-5b6f-4e3a-814d-57776dd59222 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 67

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source=pdf_text observed=2026-08-01T21:08:10.084810Z digest=sha256:8439d68798662993964f18c81e34a0ff1129a4badf6e46f2be29d2bb8c21bec7

Observation 9945e0b2-8aa4-4742-8f1b-2ab3d85d5b77 · outbound

This paper cites Rotary position embedding for vision transformer.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Rotary position embedding for vision transformer

Reference 68

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source=pdf_text observed=2026-08-01T21:08:10.885000Z digest=sha256:f1a400d92d69808b8fd93038c981b8fe1ebbd327017d6ef6dfbb57fa37a1e704

Observation 45d21f6d-d9e4-4841-98a2-8f6bac3fdb2f · outbound

This paper cites RoFormer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction RoFormer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 69

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source=pdf_text observed=2026-08-01T21:08:10.959228Z digest=sha256:f85093cf1c88ecd9f6ef09fc933068282d18cdcfa1c967c18bd324d152094276

Observation b384054c-23ba-4e3f-8b4a-7b90cd4f43d1 · outbound

This paper cites Forecasting motion in the wild.arXiv preprint arXiv:2604.01015, 2026.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Forecasting motion in the wild.arXiv preprint arXiv:2604.01015, 2026

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source=pdf_text observed=2026-08-01T21:08:11.020780Z digest=sha256:94820db94c25cdb7e5c9b8563bd1006e54f67669bcf0d0714e4a5a830131e2f4

Observation 218eedf8-6a4e-47af-b1ce-64c29abedf4b · outbound

This paper cites CoTracker: It is better to track together.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction CoTracker: It is better to track together

Reference 71

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verified exact
doi, observed 2026-08-01T21:08:32.681179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-01T21:08:10.509167Z digest=sha256:0439c69ff73368cdc1688adc0af35fd17496b29e6e91a2799b26c352d3ebed0d

Observation 29f1935a-8d90-4b9a-8ac9-c3402ed5817d · outbound

This paper cites Dex4d: Task-agnostic point track policy for sim-to-real dexterous manipulation.arXiv preprint arXiv:2602.15828, 2026.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Dex4d: Task-agnostic point track policy for sim-to-real dexterous manipulation.arXiv preprint arXiv:2602.15828, 2026

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source=pdf_text observed=2026-08-01T21:08:11.168088Z digest=sha256:fca1fecb4fac9be4afdb1e543a9f86a20a9751e4e05e273c819bc16ebfa1f435

Observation dab819f2-27b4-431b-a2f5-2b9340d0b476 · outbound

This paper cites SpatialTrackerV2: Advancing 3d point tracking with explicit camera motion.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction SpatialTrackerV2: Advancing 3d point tracking with explicit camera motion

Reference 73

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source=pdf_text observed=2026-08-01T21:08:10.659830Z digest=sha256:3d0abf75741ce2cdd3442224df63db073dadaba2932a834aca300e160cc3ff19

Observation 0df9acc1-845c-4247-8e25-1e2ab0283843 · outbound

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

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Depth Anything 3: Recovering the Visual Space from Any Views

Reference 75

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source=pdf_text observed=2026-08-01T21:08:10.829759Z digest=sha256:2ce45b817efd172346017171c46bdb65e0816af8922c6d010b73c06368645934

Observation 2aabca53-94dc-459b-b35b-8a32fefaae46 · outbound

This paper cites Novaflow: Zero-shot manipulation via actionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Novaflow: Zero-shot manipulation via actionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025

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Observation 225639f7-6d36-48ae-9fb9-93d6691cd78b · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 81

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Observation e0ff0579-802d-4d89-8adf-0d50cae0a32c · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 82

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Observation 1b81fa00-33dc-4cb1-8b1b-1c4f1e3e5ec9 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 83

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Observation 85254c77-8344-4712-8298-2d49a303b335 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 84

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Observation 64ddfc8a-ec61-479e-b968-9441e5b204aa · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 85

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Observation 6edb8e74-a3d3-43b1-bbd8-6c67248d4b81 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 86

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Observation 97f24870-0ae4-4162-b1ed-48869ff97e3e · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 87

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Observation 9737f7df-901c-4a8f-8d77-c0d90c9acfbb · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 88

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Observation 53b09f4e-3d7b-41bc-b8f2-9c61fe2a1288 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 2017

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Observation e4605b7f-e1b6-4231-afec-c042f6cc3452 · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 2022

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Observation 7de84400-49ce-4983-b129-bec74691297c · outbound

This paper cites an unresolved cited work.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Unresolved cited work

Reference 2024

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Observation 9ca762a5-3b80-460d-8ae4-1e7ab71e8bfd · outbound

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

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction Wan: Open and Advanced Large-Scale Video Generative Models

Reference 2025

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Observation cea0f0cd-1890-4e9b-9bfa-af71316ad47c · outbound

This paper cites 12 MotionForesight Brains, Bots, and Behavior Lab.

MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction 12 MotionForesight Brains, Bots, and Behavior Lab

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.