Paper Citation Record · LEDGER

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2406.16862.

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

pith.paper-citation-record.v1
2406.16862 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:21:36.855439Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:04:26.253123Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7bf51a50-cdb3-450e-b276-1f093362f7a4 · inbound

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

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:17:01.445669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5528f362-71d3-4c40-b732-4bd10594960f · inbound

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models cites this paper.

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:21:45.195212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 669975e1-3c9b-4f9f-aebc-ad7f8e47dfad · inbound

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation cites this paper.

GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:50:29.253724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 696934a0-dcad-425d-89f4-23c0347c66ab · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:37:07.305473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f79772b2-0054-4973-82f3-263257369076 · inbound

Geometry-aware 4D Video Generation for Robot Manipulation cites this paper.

Geometry-aware 4D Video Generation for Robot Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:14:27.884033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation caa28f53-b6f4-4a3e-a39f-a025a7b12aa7 · inbound

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs cites this paper.

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:41:00.342113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 64bd6233-9932-4394-b58a-bce55cb9a266 · inbound

Large Video Planner Enables Generalizable Robot Control cites this paper.

Large Video Planner Enables Generalizable Robot Control Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:28:33.968348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6649c285-688d-4903-8454-803e12168c16 · inbound

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning cites this paper.

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T05:21:36.855439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2450f2a5-996f-4fc8-95f0-5f3313ae8295 · inbound

MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation cites this paper.

MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T02:45:07.166991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d3dcf4d-fad2-41f5-b0d4-a89fdda96f40 · inbound

PlayWorld: Learning Robot World Models from Autonomous Play cites this paper.

PlayWorld: Learning Robot World Models from Autonomous Play Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:05:54.587400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6f6344db-7ba2-4cde-87ca-055415a5aca3 · inbound

VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis cites this paper.

VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:41:15.698372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a7d0a91d-4bc0-4118-a456-d83e8cd36f80 · inbound

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

World Action Models: The Next Frontier in Embodied AI Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:02:17.885588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a410089f-a6ac-4699-9217-18dee161c133 · inbound

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players cites this paper.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:29.072890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1d208fd3-f883-41fd-866a-b7d63be24ec6 · inbound

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? cites this paper.

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:56:47.496904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 642dda2d-4f0b-415b-8500-f0b9a00f36c6 · inbound

Next Forcing: Causal World Modeling with Multi-Chunk Prediction cites this paper.

Next Forcing: Causal World Modeling with Multi-Chunk Prediction Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:57:38.465704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dfbb8428-6a15-45cc-95f8-6bce5700922e · inbound

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position cites this paper.

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:34:36.513994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 157e930f-ef18-40cb-b0a5-bb97c8a34d6f · inbound

ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning cites this paper.

ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.283368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 99f5512c-fe96-42b1-901b-e30795d594d7 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:35.446108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d6719368-3924-4b30-9b62-086d573cc5f4 · inbound

Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data cites this paper.

Wh0: Generative World Models as Scalable Sources of Egocentric Human Hand Manipulation Data Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.723733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a8320374-7948-4fc0-adbd-e24c6de68087 · inbound

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation cites this paper.

RynnWorld-4D: 4D Embodied World Models for Robotic Manipulation Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-08T02:04:26.255255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 88dc05cd-c5fc-4fa2-9d21-a6d5acb375d6 · inbound

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories cites this paper.

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T00:04:04.293371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8351085-71b3-4046-b884-51628f00edf5 · inbound

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration cites this paper.

PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration Dreamitate: Real-World Visuomotor Policy Learning via Video Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T20:30:42.818011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.