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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 23 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 73 of 73 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:18:16.306299Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:29.288385Z digest=sha256:3fc660cede4a81d04e0cc952435f4a8f99e561585faaea73e57e34f5628cda85

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

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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=sha256:81f71693669852199a491d502248d13bd9d647586e42d419ef25dc9101467fbb

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:fa9c799888edf481cd0ec9651b4bea099c52803f1c7006f7d92aa2750691163e

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=sha256:58f6c34bae9c01effae952cf4fcbe15af24f96a4fa8b574b1c81f719ac2658ed

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:ea9c95eba3e00351430c4f9cee0d7c410512b89d767ce476e300c645f04f1810

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:29.943622Z digest=sha256:51ea51e9411c8cfdc01b135303edaf5f7b99151ada8af25b5df2842ea00b3532

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=sha256:11f229eab259d89cdcea5551900c891d22f75e68b5e497afefc4425aacc23b8e

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

Resolution
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=sha256:1064a3d141b0b675337c25b1f76ffc9a6afe72fcd45d8cab013c2541c7c6b494

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:30.630546Z digest=sha256:074d6d49edb1a7acb67e5f6a8ec058af7eb9a1bbeb8e52840e7cb7b57d2016db

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:31.035410Z digest=sha256:cdbb867c86a27b6cc16fb4cd471818840e4025c46d88b7817b2dbd32a935b999

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=sha256:01ea124c870b527bbfe7744e1a4df05a9c3fb3b94e82b6c15bfdf8d93abc4bf9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:31.335763Z digest=sha256:15caabe9b44d6fa2c6cc31e3308b69a1a7f29eeab2e7c12346a9857010104bbe

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:cdb060ffa7db989d7b92205aca160856e4b4c33f883bfcd554086d906c362955

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:31.718661Z digest=sha256:5c3dbd3de06c5a724fcab12b2726ca10760707775e7f04227655f6b3b3ac3218

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:32.097058Z digest=sha256:2ea5b4a3de2aca58c55b01bafbdac0c555ae64ba63d2c14742403790f59e05eb

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:d0c2fc840afaf8b1330c9034060cbd177c3d11bf8a725459f4a56d911fcbb983

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=sha256:5385cff935c332d0c73e735c8f2bd1539a346422c0efe80388a1788466524e51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:32.804062Z digest=sha256:055ffbfe6c68cccbf0cf4d49f4c8b7490fc8b3b00cb11366c00a5aca481dd2f2

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:c3fcd24c048395a923f09c6d2f8dff7f67097fa61d2f83f15f5803a7fc3d33af

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=sha256:50127a8a3428da40562aea8561df3f0f53d9d66693e9496ca6091b5db88fe30f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:33.359382Z digest=sha256:2b173a83ba84b7a1cfc0b9d2b175d3cf2fca6102773b28c45826b764e908f41f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:33.468974Z digest=sha256:d2b8a209fd20c5547de3d87847db292a0bbab7fd043dc6ca42858617d3e039b8

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:f6065d45a2b72d003007bf8dd0bcdd87558cb4ab480adc229999bdc67070c742

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=sha256:00d36db91ab7f58d08560091826456ac6bcaf834ef1f553b26d8edc9a8ad82a8

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:eea9e93f1963fb09825e97e3d839a2af5c69e510110bebadca0744243f00971b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:34.337822Z digest=sha256:367ce344883a723fb28dd9e14b7f509e35e75a9703c48a0c74e1d1e9ec371185

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

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

source=pdf_text observed=2026-08-07T06:03:34.529765Z digest=sha256:1dcb668e8df9294208daa0038c505502e1d58a3a0a251e8092b80d5ce652ee24

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

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=2026-08-07T06:03:35.125172Z digest=sha256:55c6a4fe309a27a091c145ae22d0e3af63fc764e0c72e13be386a5253fa5b5a9

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=sha256:5e084ee591bd6a9615c3ad9abb861e9894307c2eb1a514c977ce42ccca15803b

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:fed5ec34f880b5181f64540c8214261ce0bb94391924a400e4ed50a790924530

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:03:35.644459Z digest=sha256:0dc726ccb94e54f048897e51559b2713f434416e1eb78b3001124f159b480664

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=sha256:2dab1771ac2c9e7648c10c0d27398cb8ed85d8b41710ebad6bdbbb57e7d733af

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=sha256:8a19a74d86c134566c73e6d595ce76d6ebdff6cd5fecafeb427d95e529cdfc9c

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T06:03:36.251702Z digest=sha256:63039a2d6d8d768b3ba2e2270100f9f6d6230ed32a2da69e4fc50b2f8d7d604e

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=sha256:3e22a602984336cf216de7d0539f07ae8c223e91d3c6aed313f31d5eb602f555

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=sha256:73484c73ea285868cce85fc672c32237d3c326d19030dbb4021596d753663725

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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source=pdf_text observed=2026-08-04T09:12:50.207623Z digest=sha256:ff6d9206806c9ad123d557194bb30460b182bfe0eb81124dff37c7fcbc0d725b

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=sha256:213dced9187a7d272f11ebd7979e2e8f4dbc8715f54debed708d3c132cb6456e

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:fdde315bcb8b8dcff43d54cfe64378e977cecfbfa389d49acbeb2ad0f275f208

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T02:19:39.604140Z digest=sha256:309783ee542450ee50ced12e91f37dbfb4e03a75a70f11b3a3f7ce58936f6ea5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T06:13:12.442859Z digest=sha256:1b5de2cb2a9a771d633e0006d30f22be9eafae2e585132bf5740b317224a6c74

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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metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:348ec3182ace31f982a43c18fd8dc81bb841d32292921674d2f271758423a760

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T03:57:10.338617Z digest=sha256:55f3375455a8c03b867a81d433e677f59b870c27815e32b44ad861b73e143cca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T22:11:21.596611Z digest=sha256:a263754bbdfd743d05e14488a3fea43ae39ad03560b6ea19501b675672ef3f37

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T12:34:11.744980Z digest=sha256:f59158b82c18e0bbbcb0b561ffabbe341b0b6fe1857278789c19eb512e8db9f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T05:32:17.780012Z digest=sha256:504a5a28b13894c8fa760eae41eb97f7b7d7aa27b914bcc66588ad988d7d43eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T05:34:03.684055Z digest=sha256:c8febf228b35582b3860a8cfe309c455f2aaec7e6a3b4cf42d7efc752c0eeae6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T16:45:15.955954Z digest=sha256:76e678eeff715c114bfb26cca20acc8b95f3a4f851f65304132f2e3c3763c633

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T04:02:53.110012Z digest=sha256:c4fb503053afd5898f95eaee2a9b4dbc3415d12ae2ab1dba41e52e3b1fc4c401

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:d89885fc0d1c8ff692a77168d54ddd08ad74ed5370a2e0b2551e1c82e5272c69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T11:26:48.626947Z digest=sha256:a7be081e887a611f42470ab0f87d6438e3420409e6d0db3e43b1afb7d938a6e3

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T20:35:21.512564Z digest=sha256:7b8e192d5f4a840dd55b1487140aca9f81cfbe11da0d0f21a119fb5c2a85c362

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:bb036d5d62c55937d725211fc64dc15fa7b2b3ce6b840f1ff8fb4ee2d7fc165c

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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unresolved
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=sha256:8343e04cbe874e6da9fced23bf110832b50fe4b6af310384f5f7947ec7ad526a

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=sha256:461ad6348daf7fabba4e772b0cd5970ebf1472e255fe850e31abbf7586748bbb

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:ed60fd501f24e31e7bbee3d5680e045b12c2ed8ee5ab9992f32bdd7eaa6bcb4a

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:de6ef8ce80d2c5765f7c26ed0558ec89bfee04df7eb127c39560a1ae3c66bc0e

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:cc69819f929c3b23461a13dce86700eb6ae10ed6c88897b83ec2102843741408

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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