Paper Citation Record · LEDGER

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2507.06224.

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

pith.paper-citation-record.v1
2507.06224 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:07:47.422971Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8077ba9-7970-4ab7-bda6-e4813a59e5b5 · outbound

This paper cites Track2act: Predicting point tracks from internet videos enables generalizable robot manipula- tion.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Track2act: Predicting point tracks from internet videos enables generalizable robot manipula- tion

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:39.283160Z

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Observation a5dfad87-88cc-4c58-9385-0a00a8513a55 · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

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Observation 36e24d53-9f68-4e5f-82c2-e112b37558f4 · outbound

This paper cites Zero-shot robotic manipulation with pre-trained image-editing diffusion models.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Zero-shot robotic manipulation with pre-trained image-editing diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:39.176008Z

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Observation 4323dbf9-8f51-45ef-aaad-7b7fe4261282 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

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Observation 127bd5ac-8728-4d62-8040-0de9ecd378db · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 5

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Observation 13aa5b42-70c3-4b35-99cc-0cc2b0451966 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action dif- fusion.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Diffusion policy: Visuomotor policy learning via action dif- fusion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:39.021539Z

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Observation 55cffa15-f7ca-4868-8f1a-83fa05ba9a61 · outbound

This paper cites Learning universal policies via text-guided video genera- tion.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Learning universal policies via text-guided video genera- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.901093Z

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Observation 542778c7-caea-45c4-9e56-dae72c448825 · outbound

This paper cites Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, and Jonathan Tompson.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, and Jonathan Tompson

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.757867Z

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Observation d5e6492d-c325-4c4e-a6d6-6abd6c30e200 · outbound

This paper cites Graspnet-1billion: A large-scale benchmark for general ob- ject grasping.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Graspnet-1billion: A large-scale benchmark for general ob- ject grasping

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.607857Z

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Observation 3e8eaf33-1e9e-4838-9dec-dc6b90e85742 · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow FLIP: Flow-centric generative planning as general-purpose manipulation world model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.481844Z

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Observation 85650fbd-a49f-4635-aa0f-dfd39172af7d · outbound

This paper cites The” something something” video database for learning and evaluating visual common sense.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow The” something something” video database for learning and evaluating visual common sense

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.334275Z

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Observation 14f8a7a5-5237-45a2-950c-7d8cd26472f2 · outbound

This paper cites Deep residual learning for image recognition.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Deep residual learning for image recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.231494Z

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Observation f698c5cf-ef4b-4f08-b4a3-dae7b9f2b181 · outbound

This paper cites Denoising dif- fusion probabilistic models.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Denoising dif- fusion probabilistic models

Reference 13

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Observation f781dd45-0f52-4086-9204-eb194c5d3ebc · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 14

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Observation 9ee40f9c-216d-4afa-8a33-1ae3bf9a943a · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Openvla: An open- source vision-language-action model

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.142903Z

Source-reported events for the cited work

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Observation 81857de0-b29f-4f68-99e8-4edfd4357dea · outbound

This paper cites Tenenbaum.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Tenenbaum

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:38.038432Z

Source-reported events for the cited work

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Observation 0dd1e8d8-1c01-460a-a475-293356b8f9d2 · outbound

This paper cites Bridgevla: Input-output alignment for efficient 3d manipu- lation learning with vision-language models.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Bridgevla: Input-output alignment for efficient 3d manipu- lation learning with vision-language models

Reference 17

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Observation e5f441a1-1435-4c85-a4a8-03500b239107 · outbound

This paper cites Gr-mg: Leveraging partially- annotated data via multi-modal goal-conditioned policy.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Gr-mg: Leveraging partially- annotated data via multi-modal goal-conditioned policy

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:37.851038Z

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Observation f8bc9425-675b-4b51-a95d-627da58cd7c7 · outbound

This paper cites Dreamitate: Real-world visuomotor policy learn- ing via video generation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Dreamitate: Real-world visuomotor policy learn- ing via video generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:37.595105Z

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Observation ac9f95f5-a434-4f64-a554-bfd7fef1cb4d · outbound

This paper cites RDT-1b: a diffusion foundation model for bimanual manipu- lation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow RDT-1b: a diffusion foundation model for bimanual manipu- lation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:37.391234Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4740894-1413-4680-ae80-b3194804a209 · outbound

This paper cites Struc- tured world models from human videos.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Struc- tured world models from human videos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:37.246960Z

Source-reported events for the cited work

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Observation bbb1b2e7-eb91-4120-9cc4-ff95b038a8e8 · outbound

This paper cites R3m: A universal visual rep- resentation for robot manipulation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow R3m: A universal visual rep- resentation for robot manipulation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:37.097117Z

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Observation 0afcc61d-714d-4b96-91dd-1fa733f8059e · outbound

This paper cites Generate subgoal images before act: Unlocking the chain-of-thought reasoning in diffusion model for robot manipulation with multimodal prompts.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Generate subgoal images before act: Unlocking the chain-of-thought reasoning in diffusion model for robot manipulation with multimodal prompts

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:36.775640Z

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Observation 1f2ae5da-05a3-4309-955b-72980b32e48a · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Octo: An open-source generalist robot policy

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:36.405157Z

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Observation b8f1abeb-0c17-44af-ab39-9a9ff2e90d54 · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 25

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Observation c9b0b784-342b-41c6-8346-37a9a4753bf9 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Learn- ing transferable visual models from natural language super- vision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:36.150315Z

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Observation a0923067-d4a4-4aee-b1cd-83389d65237e · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow SAM 2: Segment anything in images and videos

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:35.954059Z

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Observation 713c7d9d-1001-4dce-a8ba-d0222c53838b · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Motion tracks: A unified representation for human-robot transfer in few-shot imitation learning

Reference 28

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Observation 5f0d5f05-f035-4539-b631-0c5dda0c598e · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:32.091476Z

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Observation 723e93df-9465-41d9-9119-95baeab262b2 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 30

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Source-reported events for the cited work

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Observation 458b5092-fc51-4f37-9e18-18d3fe2ac32b · outbound

This paper cites Denois- ing diffusion implicit models.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Denois- ing diffusion implicit models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:35.657720Z

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Observation 34884d26-5203-4d2a-8d9b-0854ae38a9e7 · outbound

This paper cites Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola, Gaurav S.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola, Gaurav S

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:35.453904Z

Source-reported events for the cited work

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Observation 51f83d5d-571f-42a6-a09b-e53234cdd456 · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Any-point Trajectory Modeling for Policy Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:32.442338Z

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Observation 4049eddf-063a-49ab-9a40-f8dcf8a1fde1 · outbound

This paper cites Unleashing large-scale video generative pre-training for visual robot manipulation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Unleashing large-scale video generative pre-training for visual robot manipulation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:35.193795Z

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Observation 6824ea62-99a2-4311-8d0d-444a1f9ad9e1 · outbound

This paper cites Flow as the 10 cross-domain manipulation interface.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Flow as the 10 cross-domain manipulation interface

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:35.023994Z

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Observation 9e9c923e-e8b2-41d9-ae90-907c9f77441a · outbound

This paper cites Learning interactive real-world simulators.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Learning interactive real-world simulators

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:34.811384Z

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Observation 4d3ce9d9-55b9-47a3-aa03-c9148ad87c69 · outbound

This paper cites Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:34.568444Z

Source-reported events for the cited work

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Observation 463bdcf9-857a-4898-b309-ac140f88f8f3 · outbound

This paper cites Dexgrasp- net 2.0: Learning generative dexterous grasping in large- scale synthetic cluttered scenes.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Dexgrasp- net 2.0: Learning generative dexterous grasping in large- scale synthetic cluttered scenes

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:34.416327Z

Source-reported events for the cited work

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Observation e815db07-ac50-4768-b0ef-3d0551567720 · outbound

This paper cites General flow as foundation affordance for scalable robot learning.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow General flow as foundation affordance for scalable robot learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:34.274918Z

Source-reported events for the cited work

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Observation 91cc7ff3-acfe-4cdb-8e66-66cbfef8a740 · outbound

This paper cites Vlmpc: Vision-language model pre- dictive control for robotic manipulation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Vlmpc: Vision-language model pre- dictive control for robotic manipulation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:34.171422Z

Source-reported events for the cited work

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Observation 6152338a-9c22-4d73-b900-98f6d4ea29fa · outbound

This paper cites VIOLA: Object-centric imitation learning for vision-based robot manipulation.

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow VIOLA: Object-centric imitation learning for vision-based robot manipulation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:34.055602Z

Source-reported events for the cited work

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Observation 05d7fac3-e2f8-4242-bd22-d3c2b05831d6 · outbound

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

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:33.833322Z

Source-reported events for the cited work

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Pith citing papers

Observation ac84063b-7644-4b15-b317-99dec4d60ca9 · inbound

UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models cites this paper.

UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T22:07:47.422971Z

Source-reported events for the cited work

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