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Paper Citation Record · LEDGER

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 24 inbound Pith citation observations for arXiv:2506.06199.

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

pith.paper-citation-record.v1
2506.06199 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:36.667402Z

measured 74 of 74 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:39:26.382650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:35.330869Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a37dcf11-270f-4920-ad60-ddf9e51a85d5 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:41.310873Z

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=2026-08-07T06:03:29.288385Z digest=sha256:21162042426bceb5855397754cf3bdf36617b281589feb8dfbc436fc97dabfee

Observation 89c2e480-708d-4dc0-ad97-9a57db80fa83 · outbound

This paper cites Navigation World Models.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Navigation World Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:29.428070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:29.428070Z digest=sha256:8ff71a58e5d901d5fa0584708debe297eebac2ee0b39f3b8aff3544e34f3d4c9

Observation a7efeb31-531f-493b-8bfe-fbb90558bbc1 · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model PaliGemma: A versatile 3B VLM for transfer

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:29.588041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:29.588041Z digest=sha256:60806190efc501fd38bbe43d59f57345a9ff0f849b6c84f6d71188b5a84952c7

Observation 4acfe0af-982f-4a83-b4c1-d88260a07428 · outbound

This paper cites Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:29.685470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:29.685470Z digest=sha256:145c10699a40f8654f62059093a3cf8c8d65cfb853f9b3dfba544a13d26b67c0

Observation 000da131-da6e-4ba6-9784-395c702a2e55 · outbound

This paper cites Bharadhwaj, R.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Bharadhwaj, R

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:29.731549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:29.731549Z digest=sha256:81d8fe8476240fa900bfd6825aafc30ad482fff86d99b88fb21e0f1a66cd9ebe

Observation 4fdd07e2-bcf2-42e2-bde2-1798a983b030 · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:29.769903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:29.769903Z digest=sha256:17048f113aedf98b21a22dfee155fee4908eff7fe50f834651f82b4808a9e0d7

Observation ac1c4f8c-722d-4038-9c31-370451f5272a · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:29.825186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:29.825186Z digest=sha256:dab19a8cd7f136e543e83fc8a839ca2f6333d007d370561636be4b77e458172e

Observation 9983f57b-846b-45fb-9d80-26e64d8d9779 · outbound

This paper cites Cheng, L.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Cheng, L

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:40.908964Z

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=2026-08-07T06:03:29.943622Z digest=sha256:9c73faec03e665df4ffea97b982cd12f9ca68e7d098b4d35faa5fa84d7dffea6

Observation 72bfc11f-6ac0-457c-91b5-1a40711093d8 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:30.117074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:30.117074Z digest=sha256:490bd2cf4c4980632086068bb19c3b99126094dae51b2e91224fa746ba6d863a

Observation 5cc7b8e0-eafc-4a5c-91e0-21931507d4d7 · outbound

This paper cites EVA: An Embodied World Model for Future Video Anticipation.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model EVA: An Embodied World Model for Future Video Anticipation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:30.210770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:30.210770Z digest=sha256:3ff29543248e96dc039916007898fbc22efa4648307e6d2a37ee4c6e4bfbd4ee

Observation bc70f8bf-6910-4d4e-8d6e-4150cc54f442 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:30.300554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:30.300554Z digest=sha256:3d9f187a4ad8462a7c9c26c3ddfadf2aa9cdc3ae9357ed33ba535de8cf06be77

Observation 59357bba-8ca5-40b9-a2e9-954fbea325b1 · outbound

This paper cites RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot

Reference 12

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unresolved
no resolver link, observed 2026-08-07T06:03:30.403892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:30.403892Z digest=sha256:595e27af29f1c4aa690a4dcaa01a7c4cedcda97e1e168383aa9e5c0539fb2b26

Observation 03ae52ea-e486-4838-aab3-9fce7c5b881a · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:40.550440Z

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=2026-08-07T06:03:30.630546Z digest=sha256:c783cbf688cf31f7013de29b2ab36f555c37baedcd633a1847445a59b9cdc100

Observation 4ede3a5e-4f63-41f7-acef-5ab99a10b1b8 · outbound

This paper cites Florence, C.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Florence, C

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:30.850423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:30.850423Z digest=sha256:c2597d4a7542d0f774f08c341978a9708079a6b3bd36a8c5f481ccb5d316c163

Observation 445341b9-fdc1-4cb6-a092-3ebb62288005 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:40.259754Z

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=2026-08-07T06:03:31.035410Z digest=sha256:acbff0d300c391fe54252325d638e3f743f4f2335152beddea93f7384c86f3f4

Observation f38b75c5-dc8f-4fe6-99f7-885a2c1a6ce3 · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:31.159840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:31.159840Z digest=sha256:ec8f0451dceb28bb4aae916f605f8da2a7a981c11ff09ebb95f439a858570624

Observation 88525912-02fb-4a02-be7e-2086c76bad26 · outbound

This paper cites Haddadin, S.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Haddadin, S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:39.977797Z

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=2026-08-07T06:03:31.335763Z digest=sha256:f38fd39c84f4f4153a5a11ff482d383dc9d7e51c6098f62c4025674d225027f1

Observation a27021e8-1882-412c-a423-3f62bdb051dc · outbound

This paper cites Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:31.566079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:31.566079Z digest=sha256:7fd3505124f7685cf63c8112e76eaefe925dc4c8040cfbc2fc5512853e49d57e

Observation f4d7bca7-96d4-4dbc-960b-325d6dc98756 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:39.692526Z

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=2026-08-07T06:03:31.718661Z digest=sha256:efd02a63a2778df184bb1f79295e9b45f357dfae172c8a2c0de00655e64d8e11

Observation 4f8e62b5-fd93-4acf-a5a3-49d9c1dfab7b · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:31.893417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:31.893417Z digest=sha256:fcfe8fad71f5f33ab5291ae211fe0922d02ecdbede5e6394ff600586e03fd52d

Observation a9ecccc1-2c78-41de-8bfb-525ee7a35582 · outbound

This paper cites Huang, F.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Huang, F

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:39.372384Z

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=2026-08-07T06:03:32.097058Z digest=sha256:80bfe23f2d08aad0b6243160f5490d94b64e1885b047e03f5ab237925547df4f

Observation 88120002-24bd-4670-a186-4569a00c4599 · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:32.218586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:32.218586Z digest=sha256:6ac3ea57199421d064850c48909fec9a254ff942fdf703b9ebebebcffd7549f3

Observation a0eaca66-4e44-4b1a-b7d7-e61929b1cd8d · outbound

This paper cites GPT-4o System Card.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model GPT-4o System Card

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:32.453518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:32.453518Z digest=sha256:d8a86ab76b4f75875a8216ad7eef10a48ebe1e4380254d504436b1d4ef1ce511

Observation e018dc9f-a0ee-4d28-b974-4a3792a9495f · outbound

This paper cites CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:32.622807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:32.622807Z digest=sha256:42fe5e06bef3fc3b85f921042cc3d5a638053317da90557a7b5126dd1fe7e5be

Observation be49e32d-05e9-4186-8476-5c55f8099128 · outbound

This paper cites Karamcheti, S.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Karamcheti, S

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:39.079823Z

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=2026-08-07T06:03:32.804062Z digest=sha256:6b43bd9984eaa6fcbdd88396c59ccdf9400c77d2906f29cc47e77d855d16fa0f

Observation d676dc3b-9878-4628-8784-cf0a337ecf8f · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:32.956281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:32.956281Z digest=sha256:bb92b71eaf825a170966ebcd8306e6e0b64336b6377e049e15273333f6e8fb5d

Observation 0a3f47c6-38fa-4260-ae0d-9a1bd2ce52fb · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model OpenVLA: An Open-Source Vision-Language-Action Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:33.114039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:33.114039Z digest=sha256:d49641b2059305b5a650d74f8ba6c7d610238b7c2279821de75910aa0301b0a0

Observation 038e05b4-7263-4fee-b217-7f22183a200c · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Learning to Act from Actionless Videos through Dense Correspondences

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:33.248255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:33.248255Z digest=sha256:e00b75b834894c564262d8ca729fb4772c88391fc5e97e5b072304c5d74b85ee

Observation 70f36408-d4e0-438c-b679-eeb404c16a02 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:38.698652Z

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=2026-08-07T06:03:33.359382Z digest=sha256:02ebbd54228093800c078c18b6a3b2efcdb4437c8c520cf47f57d80c7710b669

Observation 640430c7-e80e-4696-a2a9-1a8749eedd97 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:03:38.327508Z

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=2026-08-07T06:03:33.468974Z digest=sha256:33386b4835acab4d9c9bae2dac47bd2606ba4dde05bbf23a831cfe180bddfed2

Observation ddd5a30e-fcf7-49de-81d6-80229aeff406 · outbound

This paper cites OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:33.577485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:33.577485Z digest=sha256:1afe467e2ef8f393fc2fb9993d9c3f3f19fdf80119d0f1aa50277826e1ac5ffe

Observation a3d222f9-7177-4c23-b642-5f99777c3887 · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model The Surprising Effectiveness of Representation Learning for Visual Imitation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:33.674197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:33.674197Z digest=sha256:e8b3bb190c57bfecfc8335fcd9e41ca6c37e3dcb8587a786b82a67ca6849fa2b

Observation b9a63bb7-91a9-4d82-9489-691e47d929e7 · outbound

This paper cites Radford, J.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Radford, J

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:33.787686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:33.787686Z digest=sha256:c1c7959dfd1d457e64b4022077040f4552997012c62b706fb127e204c60e5146

Observation 4087f314-dec6-4f33-b53e-1189408f2bc0 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model SAM 2: Segment Anything in Images and Videos

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:33.920792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:33.920792Z digest=sha256:eff065753906af57b2eba959030f7a7cfdc955ae1744289993ab35e3f2ffe8c1

Observation 63f15b5c-ece8-44f2-a432-b0a558be82be · outbound

This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:34.073992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:34.073992Z digest=sha256:f9238ab822371e7f43f5271afa522d67facf3ae0f705cebe5c3dc6f6684f56fd

Observation 345c2fbd-6d7e-4c0e-8bc6-eec9a864da7b · outbound

This paper cites Rombach, A.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Rombach, A

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:34.213078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:34.213078Z digest=sha256:212e82fb28e74f5987c5402e952a6a0a4f5d6359424f48db76b7614777a97601

Observation 5174d732-239e-4642-813d-46c29d5707d2 · outbound

This paper cites Embodiment-Agnostic Action Planning via Object-Part Scene Flow.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Embodiment-Agnostic Action Planning via Object-Part Scene Flow

Reference 37

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source=pdf_text observed=2026-08-07T06:03:34.337822Z digest=sha256:a1808851a0d5a0323a2b3eb69be0236998840c6f55a26336b182bfcf19f72c15

Observation bf1e8e75-18cd-410e-b230-9db13a9785ac · outbound

This paper cites Virtanen, R.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Virtanen, R

Reference 38

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source=pdf_text observed=2026-08-07T06:03:34.420823Z digest=sha256:b4ee28f7897ec54258e3506e69c34bf4a88a691217aaf6e0ff99212e05ed2ea3

Observation e8bf983c-fb5d-4399-a26d-657e80634989 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-07T06:03:37.941772Z

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=2026-08-07T06:03:34.529765Z digest=sha256:ec81f22c2def3a2b38415c4139407b92f459b335af28b076c223a8e983705dba

Observation d7021bc8-a074-4c4f-a759-71b9386300b4 · outbound

This paper cites Any-point Trajectory Modeling for Policy Learning.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Any-point Trajectory Modeling for Policy Learning

Reference 40

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source=pdf_text observed=2026-08-07T06:03:34.734060Z digest=sha256:b2637d890d039e2cbdce0ec357b8f50950c4fcef09fa9b5429227893b9a6518a

Observation e7164364-3ae0-4644-b6a4-5e492b37d612 · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-07T06:03:34.894029Z digest=sha256:f393aa589c67320c84cf499bf2e65c7754d086d29b28aadee57230fb280cf454

Observation e2c7516c-7762-4119-908c-26badfe5ff7c · outbound

This paper cites Xiang, D.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Xiang, D

Reference 42

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raw_fallback, observed 2026-08-07T06:03:37.568033Z

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

source=pdf_text observed=2026-08-07T06:03:35.125172Z digest=sha256:3eaf38ce0123e1d700a66b831e6c91785ee36d71018214330bb6a611839379a8

Observation f7949322-abd8-40f9-9dc7-a430f803efa2 · outbound

This paper cites Flow as the Cross-Domain Manipulation Interface.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Flow as the Cross-Domain Manipulation Interface

Reference 43

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no resolver link, observed 2026-08-07T06:03:35.328219Z

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source=pdf_text observed=2026-08-07T06:03:35.328219Z digest=sha256:e7777a20cae27bacf91a7e88ec552ff755b911518f1fd69b9da44d78a01126a0

Observation aa126a8d-e65f-43fa-b859-51986e016320 · outbound

This paper cites Magma: A Foundation Model for Multimodal AI Agents.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Magma: A Foundation Model for Multimodal AI Agents

Reference 44

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no resolver link, observed 2026-08-07T06:03:35.471387Z

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source=pdf_text observed=2026-08-07T06:03:35.471387Z digest=sha256:5093949ab2b019bca1fe21f982889768c809d9eaa25fe90251df23dec45f68bf

Observation 66113d79-3f67-418a-95ba-5fe54287bc8f · outbound

This paper cites an unresolved cited work.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Unresolved cited work

Reference 45

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raw_fallback, observed 2026-08-07T06:03:37.191291Z

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=2026-08-07T06:03:35.644459Z digest=sha256:7bc1c90f4358bbb195159772a7b466360861d3fc35f30e49330e14ae4c6bc5e3

Observation 949970a4-0e2c-4ba5-a20f-70542bb7da14 · outbound

This paper cites Learning Interactive Real-World Simulators.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Learning Interactive Real-World Simulators

Reference 46

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no resolver link, observed 2026-08-07T06:03:35.871738Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T06:03:35.871738Z digest=sha256:4962f15922ba75c63e4b5cf5379338da3b1c1d4aac82f984a5ba6c53d86c303a

Observation 5af61cd9-44c5-4abe-8f81-2067c0cfc9fb · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Scaling Robot Learning with Semantically Imagined Experience

Reference 47

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no resolver link, observed 2026-08-07T06:03:36.016006Z

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source=pdf_text observed=2026-08-07T06:03:36.016006Z digest=sha256:65d421a8ff25796fe2bf02f5776de6e85d9a6bed54ff481dcccb54fb09b6191f

Observation 73c20a8e-b309-4e19-919d-a09a0fdffe9a · outbound

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

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model General Flow as Foundation Affordance for Scalable Robot Learning

Reference 48

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no resolver link, observed 2026-08-07T06:03:36.251702Z

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source=pdf_text observed=2026-08-07T06:03:36.251702Z digest=sha256:639f750704147c52671e91401adbe7aba2478426caa3533a258fa5c5c3e717af

Observation a8a80154-dab7-491a-9459-6b8fb69ec8d4 · outbound

This paper cites TesserAct: Learning 4D Embodied World Models.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model TesserAct: Learning 4D Embodied World Models

Reference 49

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no resolver link, observed 2026-08-07T06:03:36.479866Z

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source=pdf_text observed=2026-08-07T06:03:36.479866Z digest=sha256:e4e6107f1dd5c08774d06ee66485504609ac310a8bd9c7d8f72ac37c6c59c494

Observation 971166df-ec81-4db6-ba48-f03d240a7c78 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 50

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no resolver link, observed 2026-08-07T06:03:36.667402Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T06:03:36.667402Z digest=sha256:ebb3ab4f97d6b5bfdc84f84956c7d26b004b83119dbc88d656f439134fe33c09

Pith citing papers

Observation 20e200df-8bf8-4bf3-aefb-f60f3a6745f1 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 176

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no resolver link, observed 2026-08-04T09:12:50.207623Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:50.207623Z digest=sha256:a363da7df801c52e71dc1487d628b91ac5a31024df4fcc8facede8f0764a4576

Observation edce5873-2aaa-4dff-9339-63a424de556c · inbound

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos cites this paper.

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 14

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no resolver link, observed 2026-07-15T12:36:50.019492Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:36:50.019492Z digest=sha256:a87409cc7d6d3876997ce9a274c4b1afc181fe15ba95d64429de683c791a9e83

Observation 4cf912e3-0bc7-43e7-888f-c0a7d3d70af1 · inbound

LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior cites this paper.

LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 21

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no resolver link, observed 2026-07-13T18:17:45.786494Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:17:45.786494Z digest=sha256:65c04a38796ea96251fe82312600fd8dd4b9795b976d7638ca70fdd1238760f4

Observation 27322387-d6a3-4950-93b9-19696355036b · inbound

Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models cites this paper.

Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-13T02:22:06.587608Z

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=2026-05-13T02:19:39.604140Z digest=sha256:9b5dedcee52e03b66fb26548e4ad7995654b043b43d817bf63c7c5f3ae7718ad

Observation f4fe00e9-ee2c-4548-8829-27baeb5c9b29 · inbound

Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models cites this paper.

Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-15T06:15:07.046451Z

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=2026-05-15T06:13:12.442859Z digest=sha256:761eaae0b8d63223f4b706c8a0d55ff6a5cbe2968f35db09ce099b0e6e433586

Observation 613e048a-c865-4353-bfb9-d5e1142a4783 · inbound

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

World Action Models: The Next Frontier in Embodied AI 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 76

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arxiv_id, observed 2026-05-13T05:02:17.761346Z

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=2026-05-13T05:01:16.802019Z digest=sha256:c428404d970a22a337f2dd3c40bcf73aeb68f5b710549a3450e55d35e84e6735

Observation ada214bb-bdca-459a-b245-37151b6bb220 · inbound

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization cites this paper.

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 102

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verified exact
arxiv_id, observed 2026-05-13T03:57:13.007507Z

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=2026-05-13T03:57:10.338617Z digest=sha256:2dfdf36729202383056c27b5859e312d335386161d83927c7d36cb74d19efbd1

Observation 1d209870-cab7-46f6-aeb3-187121ee6365 · inbound

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization cites this paper.

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 102

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verified exact
arxiv_id, observed 2026-07-01T14:15:46.632620Z

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=2026-06-30T22:11:21.596611Z digest=sha256:2ad3a3857f7afbc986923ab4df425def561cdaadb3e9f2a510d775bb309a2875

Observation b959a150-0647-4e46-8f29-324e354f132f · inbound

RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation cites this paper.

RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 36

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verified exact
arxiv_id, observed 2026-05-20T12:38:17.062676Z

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=2026-05-20T12:34:11.744980Z digest=sha256:533f8c4fc0eee4e8708e12717ebb238fb451682459f81dac3431de5c36da8fa7

Observation aa6098bf-77c1-4461-a6c2-3406868c5452 · inbound

Beyond Pixels: Learning Invariant Rewards for Real-World Robotics From a Few Demonstrations cites this paper.

Beyond Pixels: Learning Invariant Rewards for Real-World Robotics From a Few Demonstrations 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 35

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metadata mismatch
arxiv_id, observed 2026-05-22T05:34:40.314751Z

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=2026-05-22T05:32:17.780012Z digest=sha256:0c78edc464a65ebf440586a656588aeaef178ebf838a830362f55fd4ee12aec6

Observation 4c75f293-b5b8-4c5b-8111-6288632c0b81 · inbound

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation cites this paper.

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 71

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verified exact
arxiv_id, observed 2026-05-25T05:36:39.664406Z

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=2026-05-25T05:34:03.684055Z digest=sha256:1638f388f9342a3b0b495a4ec820c060333c227385dc12bcb9dee1268ef32439

Observation c1721651-8f7f-4bc6-a985-e6debe473192 · inbound

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation cites this paper.

GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 70

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verified exact
arxiv_id, observed 2026-06-30T16:54:59.250146Z

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=2026-06-30T16:45:15.955954Z digest=sha256:c1c0c599423bc1a22e68fade9ed4c9268d1087fef9ea840cbe3c85eba6490b6c

Observation c49a3b60-98ff-401e-9961-828d741c93f2 · inbound

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

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 141

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verified exact
arxiv_id, observed 2026-07-03T17:28:44.937715Z

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=2026-06-27T04:02:53.110012Z digest=sha256:3b4710d5fe82334728119f74d3a967eff7bc6120a9f40467b33bd61c5434bd46

Observation 41d4c454-19e9-475c-83ab-9edda5bddb9a · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 207

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verified exact
arxiv_id, observed 2026-07-04T04:09:35.332623Z

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=2026-06-26T17:11:12.686936Z digest=sha256:0a91da37b943100f57e20f297a9877b16940fcde2b276cfe7876cbdb66328aa9

Observation f20d1048-3917-404d-ace5-7fe7461ad71e · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 29

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verified exact
arxiv_id, observed 2026-07-02T11:26:53.603655Z

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=2026-07-02T11:26:48.626947Z digest=sha256:ba22e67ec726e6e5b5bdbefb870fdb3c513819184ee077294afd91e42d5aac55

Observation 176f4406-de9b-449d-83f1-8fd61c4d58d5 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 29

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verified exact
arxiv_id, observed 2026-07-03T20:38:55.097014Z

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=2026-07-03T20:35:21.512564Z digest=sha256:daf13e585f3c22e78c4f03f7bffef916a895c420c36549afbfdea0a28612b072

Observation 582f59a8-9b11-409c-96c4-1c7a1aa06f0c · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 29

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no resolver link, observed 2026-07-12T09:15:00.615740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:15:00.615740Z digest=sha256:b2d7aec85b62ae979d61a2752d93e4a94f59c2813937332b744cb31b94cfc1c6

Observation 9e5b40f7-12e6-4b94-8366-517f64aa2c16 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 29

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no resolver link, observed 2026-08-02T09:18:03.112366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:18:03.112366Z digest=sha256:6f8c6d5b37027d7327933fb243e2d2c3f37158cd2e392102f8e0e2f883c1d29b

Observation fb6eb6d3-36ff-41a6-901d-6b4614a40092 · inbound

ContactFlow: A video action conditioning that transfers across embodiments cites this paper.

ContactFlow: A video action conditioning that transfers across embodiments 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 39

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no resolver link, observed 2026-08-01T13:01:28.819061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:01:28.819061Z digest=sha256:31ba2394ec95f900b39d3cfbb2b132564750784dc551ea35ad814ead8de61cac

Observation 338982b1-beee-4aea-b590-d1523bc955f9 · inbound

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 247

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no resolver link, observed 2026-07-31T08:51:31.345083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:51:31.345083Z digest=sha256:952c868226dd7b4c1a8a9834957649a900c9d9b31992ddbee84faebbd7aeb931

Observation 1981dfdc-bf81-4fb5-882d-459d95b5189b · inbound

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 228

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no resolver link, observed 2026-08-04T01:23:12.021309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:12.021309Z digest=sha256:76ba10d2bb138b95ba2016d1a986cbfcbcaed1306636e3cc2914da90adbcc605

Observation 525177de-5fc4-4858-9b84-13ea431f1178 · inbound

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space cites this paper.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 51

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unresolved
no resolver link, observed 2026-08-06T00:18:16.306299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:18:16.306299Z digest=sha256:40873881ae3d4636b3cb7f596e731cfe3d6066f0c5d86776630bc45588b295a1

Observation f9ecc7e0-2cfc-40b6-88b1-e7c057b9d70c · inbound

Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action Policies cites this paper.

Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action Policies 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 43

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unresolved
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Observation 30c58b72-3f1a-4db1-b8a7-43054b17ce79 · inbound

Foresight Without Seeing: Latent Futures for World Action Models cites this paper.

Foresight Without Seeing: Latent Futures for World Action Models 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 36

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