Paper Citation Record · LEDGER

Learning Universal Policies via Text-Guided Video Generation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 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 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:29.112213Z

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
verified fuzzy0
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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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 cites this paper.

Data Pyramid for Embodied Manipulation 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.