Paper Citation Record · LEDGER

Learning Universal Policies via Text-Guided Video Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2302.00111.

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

pith.paper-citation-record.v1
2302.00111 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:38:41.342029Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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malformed identifier0
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External citation measurements

29
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4449c8c8-0794-4ced-94ca-c96fb1ec2f89 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Learning Universal Policies via Text-Guided Video Generation

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.451096Z

Source-reported events for the cited work

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

Observation 28f23de3-47b5-4868-8a91-12f589c0a723 · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own Learning Universal Policies via Text-Guided Video Generation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:44:02.632413Z

Source-reported events for the cited work

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

Observation 53d1ed87-c39f-4c81-ab91-6cbb333484c6 · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Learning Universal Policies via Text-Guided Video Generation

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:15:18.438283Z

Source-reported events for the cited work

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

Observation 7aad9811-c1af-473d-a593-90f3f0c2b1fa · inbound

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models cites this paper.

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models Learning Universal Policies via Text-Guided Video Generation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T05:54:59.186583Z

Source-reported events for the cited work

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

Observation dd2e3116-aded-4a26-9159-333620c740a1 · inbound

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation cites this paper.

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation Learning Universal Policies via Text-Guided Video Generation

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T16:32:05.634609Z

Source-reported events for the cited work

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

Observation 16580b81-25e8-4297-af20-9168bc42f659 · inbound

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations cites this paper.

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Learning Universal Policies via Text-Guided Video Generation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:00:04.980038Z

Source-reported events for the cited work

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

Observation 3c377124-1f01-4941-8177-6e31729488ad · inbound

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

RoboDreamer: Learning Compositional World Models for Robot Imagination Learning Universal Policies via Text-Guided Video Generation

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:47:30.291608Z

Source-reported events for the cited work

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

Observation 051d6a03-3e00-40a5-b3f3-a9a87a078af3 · inbound

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning cites this paper.

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning Learning Universal Policies via Text-Guided Video Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T16:06:09.665289Z

Source-reported events for the cited work

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

Observation 0a7172b6-2158-4380-aff3-15c7fcd00fe5 · inbound

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning cites this paper.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Learning Universal Policies via Text-Guided Video Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:41.342029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0b4701-d5e3-44c8-90a3-b9791575d9bd · inbound

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning cites this paper.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Learning Universal Policies via Text-Guided Video Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.440473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dafbd3bb-7d01-4076-9430-a23b7871403e · inbound

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos cites this paper.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Learning Universal Policies via Text-Guided Video Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:25:28.108940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34b8370-f2e1-48d5-aefc-cc1d85926d87 · inbound

F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions cites this paper.

F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions Learning Universal Policies via Text-Guided Video Generation

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T12:42:47.028411Z

Source-reported events for the cited work

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

Observation 893fbd03-dce9-4830-b37e-295459e3e9fd · inbound

Flexible Multitask Learning with Factorized Diffusion Policy cites this paper.

Flexible Multitask Learning with Factorized Diffusion Policy Learning Universal Policies via Text-Guided Video Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:23:19.657891Z

Source-reported events for the cited work

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

Observation 5aea13e4-ca32-4d89-9b91-6c034cbbf98d · inbound

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning cites this paper.

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning Learning Universal Policies via Text-Guided Video Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T03:25:12.114462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d5a03d-b1ec-4270-ba17-6d196b01d287 · inbound

Fast-WAM: Do World Action Models Need Test-time Future Imagination? cites this paper.

Fast-WAM: Do World Action Models Need Test-time Future Imagination? Learning Universal Policies via Text-Guided Video Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:57:30.021241Z

Source-reported events for the cited work

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

Observation 48103c0b-efd5-4c0e-9aa1-ea394c2f5f58 · inbound

Active Inference: A method for Phenotyping Agency in AI systems? cites this paper.

Active Inference: A method for Phenotyping Agency in AI systems? Learning Universal Policies via Text-Guided Video Generation

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:46:12.618350Z

Source-reported events for the cited work

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

Observation edf778e9-dacf-4518-9f91-4fdd5522b11f · inbound

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models cites this paper.

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models Learning Universal Policies via Text-Guided Video Generation

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:11:16.894537Z

Source-reported events for the cited work

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

Observation 738ef51e-2c2f-4bda-b3fc-d066122fba4e · inbound

Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion cites this paper.

Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion Learning Universal Policies via Text-Guided Video Generation

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:56:09.193044Z

Source-reported events for the cited work

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

Observation 131f0481-cf10-4850-a7c2-00b789e90837 · inbound

OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation cites this paper.

OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation Learning Universal Policies via Text-Guided Video Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:11.206166Z

Source-reported events for the cited work

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

Observation c20a33b8-6968-4825-b84f-1955a7f74b3f · inbound

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

World Action Models: The Next Frontier in Embodied AI Learning Universal Policies via Text-Guided Video Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:02:17.703667Z

Source-reported events for the cited work

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

Observation 22b9f2b5-d573-43dd-b6dd-22da6437a07b · inbound

AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding cites this paper.

AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding Learning Universal Policies via Text-Guided Video Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:16:59.153547Z

Source-reported events for the cited work

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

Observation 1f163672-448a-4bdf-8bed-bfb8552baca5 · inbound

Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal Reasoning cites this paper.

Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal Reasoning Learning Universal Policies via Text-Guided Video Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:37:14.319737Z

Source-reported events for the cited work

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

Observation 3e5861dc-ecca-40a2-a6b2-008152697a0f · inbound

MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models cites this paper.

MaskWAM: Unifying Mask Prompting and Prediction for World-Action Models Learning Universal Policies via Text-Guided Video Generation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:48:32.861585Z

Source-reported events for the cited work

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

Observation 3ed322c1-f6da-43ae-9481-493ae0f064c8 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey Learning Universal Policies via Text-Guided Video Generation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:35.545205Z

Source-reported events for the cited work

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

Observation 40a8ca26-79fa-457b-841c-b4bfa363426e · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control Learning Universal Policies via Text-Guided Video Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:00:09.595483Z

Source-reported events for the cited work

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

Observation 6b91501e-40bd-4457-8f19-a82fa350407b · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control Learning Universal Policies via Text-Guided Video Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.635613Z

Source-reported events for the cited work

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

Observation 8510c816-092d-4cd2-8017-c403cec1f0a9 · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control Learning Universal Policies via Text-Guided Video Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T12:05:57.682386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38293fa4-1028-4167-ad47-dd5f360510d3 · inbound

DIM-WAM: World-Action Modeling with Diverse Historical Event Memory cites this paper.

DIM-WAM: World-Action Modeling with Diverse Historical Event Memory Learning Universal Policies via Text-Guided Video Generation

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:03:51.955502Z

Source-reported events for the cited work

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

Observation f863fee2-9264-4c2a-af57-aa599ac606e7 · inbound

DIM-WAM: World-Action Modeling with Diverse Historical Event Memory cites this paper.

DIM-WAM: World-Action Modeling with Diverse Historical Event Memory Learning Universal Policies via Text-Guided Video Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T17:14:54.438474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0224c08d-d671-475c-a8c3-458af97ce282 · 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 Learning Universal Policies via Text-Guided Video Generation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:26:53.637216Z

Source-reported events for the cited work

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

Observation aa3a32fa-9e77-411d-bd9f-7280c22ec27c · 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 Learning Universal Policies via Text-Guided Video Generation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:55.101336Z

Source-reported events for the cited work

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

Observation ba58773b-47bf-4341-885b-48563ee7a6a9 · 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 Learning Universal Policies via Text-Guided Video Generation

Reference 4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190fb4fd-ad78-4549-b79f-d95255377272 · 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 Learning Universal Policies via Text-Guided Video Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:18:00.899850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 057bcb2c-1893-4ace-86f9-870b7f449b79 · inbound

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots cites this paper.

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots Learning Universal Policies via Text-Guided Video Generation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.091535Z

Source-reported events for the cited work

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

Observation cb64e93a-ac01-48f2-bd3a-7a5cb0eec469 · inbound

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots cites this paper.

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots Learning Universal Policies via Text-Guided Video Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T08:00:25.815355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f3d2d6-7db0-424c-85f4-4624ee8f01c4 · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Learning Universal Policies via Text-Guided Video Generation

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:07.155259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c4b1f47-2703-407d-80e6-6da9a6947cec · inbound

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation cites this paper.

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation Learning Universal Policies via Text-Guided Video Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T14:39:34.790951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6023abad-79c6-4591-ad91-af29bd80cb8b · inbound

Data Pyramid for Embodied Manipulation: A Survey cites this paper.

Data Pyramid for Embodied Manipulation: A Survey Learning Universal Policies via Text-Guided Video Generation

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-31T06:18:55.446655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d5f229-40a8-4cdc-bfc8-0a0827f763b4 · inbound

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone cites this paper.

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone Learning Universal Policies via Text-Guided Video Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T01:15:07.962162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 397e8d53-82db-438f-ae72-71e0583edebc · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Learning Universal Policies via Text-Guided Video Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:29.112213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd500e6-51b0-47d0-882e-422d7ff40af0 · inbound

Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models cites this paper.

Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models Learning Universal Policies via Text-Guided Video Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T21:29:43.542728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c671af-598d-434b-b0a0-55d3d5239725 · inbound

Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models cites this paper.

Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models Learning Universal Policies via Text-Guided Video Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T04:29:47.969390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.