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Paper Citation Record · LEDGER

AdaWorld: Learning Adaptable World Models with Latent Actions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2503.18938.

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

pith.paper-citation-record.v1
2503.18938 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:56:00.515528Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:29:50.791557Z

Reference resolution

0 of 0 outbound references displayed

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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 173b7b56-6f6e-43cf-ab6a-272ef9f923fd · inbound

A Survey of Interactive Generative Video cites this paper.

A Survey of Interactive Generative Video AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 35

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no resolver link, observed 2026-08-16T04:56:00.515528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:56:00.515528Z digest=sha256:293f747c0d6898af0e06b6a6b129181a8563a41200a11f1ef85ec47917fcbe9e

Observation c1464896-d16b-4ffb-8532-91803a99dd33 · inbound

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions cites this paper.

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 27

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arxiv_id, observed 2026-05-12T15:28:07.020206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T15:28:06.883492Z digest=sha256:f1cecb7c58c119364e2f0af3bfd620b225f91af78c90c67111777ea36df20e30

Observation 1a2220cc-f2d3-4b41-8c8d-ee7feeb47b0c · inbound

DreamGen: Unlocking Generalization in Robot Learning through Video World Models cites this paper.

DreamGen: Unlocking Generalization in Robot Learning through Video World Models AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 76

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arxiv_id, observed 2026-05-15T23:50:45.634949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ede531e3-5f22-4fd6-a452-7ab70610661a · inbound

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis cites this paper.

MinD: Learning A Dual-System World Model for Real-Time Planning and Implicit Risk Analysis AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 14

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no resolver link, observed 2026-08-15T18:45:55.353050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:45:55.353050Z digest=sha256:3de4e275c580e20368ddbeb521e0d2316c2e1bb0fd11ad7b63e0d97572623f79

Observation 3b42c631-e653-4ca2-97ff-adaf9a185ced · inbound

Unified Vision-Language-Action Model cites this paper.

Unified Vision-Language-Action Model AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 27

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no resolver link, observed 2026-08-15T18:28:24.127785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:28:24.127785Z digest=sha256:ac3725fc249cc4c54c99aa915f5f4fd6b86b665561424e18823563ef2cd3cfc2

Observation 95dfa533-7464-4e31-8060-da6434ef8279 · inbound

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

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 36

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arxiv_id, observed 2026-05-19T06:37:07.397192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 73134bda-e975-4e58-bdc4-db6c246dd434 · inbound

Ego-centric Predictive Model Conditioned on Hand Trajectories cites this paper.

Ego-centric Predictive Model Conditioned on Hand Trajectories AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 9

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no resolver link, observed 2026-08-05T15:29:25.381602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:29:25.381602Z digest=sha256:d0576356e63a530ec6af142218eb96b79a39ad1b26ccefc55344a3901e6d9373

Observation 28daf3ba-21ec-4e75-888c-e6b0175a0eac · inbound

3D and 4D World Modeling: A Survey cites this paper.

3D and 4D World Modeling: A Survey AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 66

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no resolver link, observed 2026-08-05T06:04:12.165352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:04:12.165352Z digest=sha256:2d095df11e2c989cbf965a8749f8f3d38320a5c97a1848e8679f042fb55abd40

Observation ee65d7d7-a914-4400-90fb-f5e85baea580 · inbound

Ctrl-World: A Controllable Generative World Model for Robot Manipulation cites this paper.

Ctrl-World: A Controllable Generative World Model for Robot Manipulation AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 15

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arxiv_id, observed 2026-05-16T01:14:10.360394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T01:14:10.174044Z digest=sha256:3a3840a819a1e2403b32644b0bcf708e4abb81bb7110eec155237a27810c032f

Observation de151c58-9581-4eb2-84b8-026d29b4933f · inbound

RISE: Self-Improving Robot Policy with Compositional World Model cites this paper.

RISE: Self-Improving Robot Policy with Compositional World Model AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 24

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arxiv_id, observed 2026-05-16T02:30:31.980706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T02:28:37.997148Z digest=sha256:bea7b45d61c04995ea2942f50016e82ccaa068861db5fbc22b3def4221093847

Observation 10f1a300-5e0c-4eb0-bb1e-9640a34daf4f · inbound

Factored Latent Action World Models cites this paper.

Factored Latent Action World Models AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 4

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unresolved
no resolver link, observed 2026-08-02T22:41:09.080241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:41:09.080241Z digest=sha256:128f1152f9ad780cb0706399cecacdf3af0767fdbcc2701eba0fb5b4adbad71f

Observation 089dedfe-d75a-4510-9789-f57ec3dc12b4 · inbound

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models cites this paper.

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 37

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arxiv_id, observed 2026-05-15T20:20:17.559918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T20:18:31.988002Z digest=sha256:88ca9bd7361253dab31a40b5916bae2b480b4e307f3d6a94fc6131c80ccab650

Observation 1016ed91-551c-40c9-ba60-49440e7e823f · inbound

Learning Task-Invariant Properties via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots cites this paper.

Learning Task-Invariant Properties via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 15

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arxiv_id, observed 2026-05-13T19:53:11.814226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation edbc592e-097c-4ea4-907b-9d0b9af11208 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 50

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metadata mismatch
arxiv_id, observed 2026-05-10T08:12:26.251558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:c6ff0961769f7eea95f7ec1f8dce972027fa5fa3d007fa0bf772976686626f9f

Observation 23db0ceb-400b-4b02-9ff8-7bad09b3110b · inbound

LA-Pose: Latent Action Pretraining Meets Pose Estimation cites this paper.

LA-Pose: Latent Action Pretraining Meets Pose Estimation AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 15

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arxiv_id, observed 2026-05-12T09:51:28.810366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T08:57:27.503349Z digest=sha256:66b6c5492b37d320eb7ae700bf4842662a3b35a9cb9c4075fff14d5fcd9208e2

Observation 6e317d9c-5ab0-4b85-b81b-225afece7e6a · inbound

Latent State Design for World Models under Sufficiency Constraints cites this paper.

Latent State Design for World Models under Sufficiency Constraints AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 20

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verified exact
arxiv_id, observed 2026-05-11T09:36:04.735347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T15:55:31.825583Z digest=sha256:cbcdfd5fd06d59a04af44b4b51d857a1416740a4d941938ba7e3a2a263889db1

Observation 0295025e-9573-4cfe-bbfd-ec2473efaab1 · inbound

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement cites this paper.

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T18:51:07.944042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 002b0211-a941-450e-a6c1-246ef386534f · inbound

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement cites this paper.

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T04:20:58.532051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7f8af842-352d-4864-af76-22295f5a6de5 · inbound

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models cites this paper.

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 17

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arxiv_id, observed 2026-05-12T06:26:27.022126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T04:14:54.885244Z digest=sha256:3841853f5464ff85d6f7349493ba36200c648cfdbce34b0b96394102ceaa9016

Observation a5d8056e-24a6-48bf-8322-a86792b70e97 · inbound

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models cites this paper.

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 17

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arxiv_id, observed 2026-05-14T21:17:59.590785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1b615ce3-22a5-42ad-8cd6-2444af6ab21f · inbound

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers cites this paper.

VISTA: Triplet-Supervised Video Style Transfer with Diffusion Transformers AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 6

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arxiv_id, observed 2026-05-20T14:18:21.412236Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T14:14:41.662856Z digest=sha256:a87a55858ed525a6ea9094ae00670e67c7f0771f697e871eaf9b3a02cd8a0556

Observation 78ff32fe-b430-498d-bcc7-9461c6aaa19f · inbound

Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration cites this paper.

Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 9

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arxiv_id, observed 2026-05-20T13:18:18.370006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 90d011c2-cb5b-4d9c-aa3e-cce469f53a64 · inbound

PhyWorld: Physics-Faithful World Model for Video Generation cites this paper.

PhyWorld: Physics-Faithful World Model for Video Generation AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 36

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arxiv_id, observed 2026-05-20T07:33:07.598106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 02319e4f-aa3f-4476-94b3-d65f5985e57d · inbound

WALL-WM: Carving World Action Modeling at the Event Joints cites this paper.

WALL-WM: Carving World Action Modeling at the Event Joints AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 23

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arxiv_id, observed 2026-07-01T23:36:22.463130Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation abf75c08-392c-412a-9ca2-2d947976edf2 · inbound

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 21

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arxiv_id, observed 2026-07-02T03:36:29.618452Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f90cd72-d9aa-40b4-b4db-5dc51e6b16e4 · inbound

UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation cites this paper.

UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 14

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arxiv_id, observed 2026-07-02T03:06:29.534534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 43450618-53ae-4d87-8b09-e1464ceb095e · inbound

World Pilot: Steering Vision-Language-Action Models with World-Action Priors cites this paper.

World Pilot: Steering Vision-Language-Action Models with World-Action Priors AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 37

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arxiv_id, observed 2026-07-03T11:18:03.329690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f3b40afb-ed0f-4449-9f20-8ee5396efb36 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 40

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arxiv_id, observed 2026-07-04T04:09:35.202721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ffc73024-ef69-4921-b37e-3452d307819c · inbound

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning cites this paper.

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 20

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arxiv_id, observed 2026-07-04T06:29:37.305977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T14:28:36.505775Z digest=sha256:66a31c57ff59f2a3170bf0f0e389983db8e069d8a5e7ed2a0e5d27158d3ccb46

Observation 6571304a-8135-432b-9c75-7344707226fc · inbound

LaST-HD: Learning Latent Physical Reasoning from Scalable Human Data for Robot Manipulation cites this paper.

LaST-HD: Learning Latent Physical Reasoning from Scalable Human Data for Robot Manipulation AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 39

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arxiv_id, observed 2026-07-04T11:29:50.793108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T07:58:17.225491Z digest=sha256:7cbb39bfc9b7f656f25e61e594e1ca88f67c2ece1c9d0805a8e7afdbf510e489

Observation 97933d2c-0858-4b8e-80ca-693293786929 · inbound

Flow Matching in Feature Space for Stochastic World Modeling cites this paper.

Flow Matching in Feature Space for Stochastic World Modeling AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 53

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arxiv_id, observed 2026-06-30T09:34:34.535715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T09:31:11.525648Z digest=sha256:3db071a8d0fbfa374b759b0b1aa752dd09143ca9a17f2bfa1091a80491a379f0

Observation 711d53ed-9372-423c-aee8-001f7581b6ce · 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 AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 5

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arxiv_id, observed 2026-07-02T11:26:53.645354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-02T11:26:48.626947Z digest=sha256:506b6824aeb8151e788fee60c88777792ee6b94d803948b34bb0fd9ba7686e30

Observation 21d9c924-be32-4c59-8eb9-5e933f5c1613 · 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 AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 5

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metadata mismatch
arxiv_id, observed 2026-07-03T20:38:55.104069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fc62225b-8ddf-4e7b-957f-0c57de5fadab · 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 AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 5

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unresolved
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=sha256:85e7bfd8332c9c140fa66b8098a7f5e0c7c42105491df0e3d1c1336613ab32a7

Observation 102a16dd-4f6e-40cd-80be-dcdfbdc703c3 · 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 AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 2025

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unresolved
no resolver link, observed 2026-08-02T09:18:01.113402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:18:01.113402Z digest=sha256:31c0a7485270a4f8f17f6021e981a5918e2b115ea0b6e607e6249258601f2322

Observation 18e23680-9cfd-4c56-8de6-2bfefe729bc5 · inbound

Robot-Factored World Models via Robot Rendering cites this paper.

Robot-Factored World Models via Robot Rendering AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T04:28:27.474411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:28:27.474411Z digest=sha256:c0d0988363b9cd28c4a825ae5d377cbcb4e059da36014d3ef3a314ab0a2de1ef

Observation 0fcc3d26-ca53-40db-b1a1-3a05098615ca · inbound

Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation cites this paper.

Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T03:26:16.735012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:26:16.735012Z digest=sha256:5a2cd471e9f312a5ab489856580bf106d64bdec7674944f65e027ab88a65b63e

Observation 16fcfced-1db4-412a-b39c-1c98f55fed67 · inbound

Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control cites this paper.

Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 37

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unresolved
no resolver link, observed 2026-08-01T11:27:05.794978Z

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source=pdf_text observed=2026-08-01T11:27:05.794978Z digest=sha256:19f243e559ee79d2216cc64cec420a4ab87dd57da8894cfd9d761d01294a73cf

Observation c8590c93-52b8-4ff7-a10f-e771c367b5a2 · inbound

Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control cites this paper.

Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 37

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unresolved
no resolver link, observed 2026-08-04T03:23:47.909595Z

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source=pdf_text observed=2026-08-04T03:23:47.909595Z digest=sha256:5f63c08aecb8060152c5f4bf1cc7fb0c694abf3df22a85d04eedfe5b9cc95fd4

Observation dafb8602-ffd9-40af-8eb5-064af10b513e · inbound

DLAM: Distributional Latent Actions with Temporal Constraints cites this paper.

DLAM: Distributional Latent Actions with Temporal Constraints AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 39

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unresolved
no resolver link, observed 2026-07-30T11:05:16.094866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:05:16.094866Z digest=sha256:07f9e161a777039b26538c5f515c7588e331c91e62d2de1a541dcf5b682f392e

Observation 274decb5-18b0-4000-b1ec-1de3e94a764f · inbound

PhiZero: A World Model Built Around Physical Language cites this paper.

PhiZero: A World Model Built Around Physical Language AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 17

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unresolved
no resolver link, observed 2026-07-31T01:50:30.619712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:50:30.619712Z digest=sha256:d1ee5cf3ace2dc4b49731d80bf21c3785ea8b8091f4490d8e83cd042bdfcef79

Observation 663e97b4-babd-4a8d-b045-93b4a65766d5 · inbound

Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics cites this paper.

Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 4

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unresolved
no resolver link, observed 2026-08-08T14:29:49.842159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:29:49.842159Z digest=sha256:61d10844143e60e8587bb70950eda3701994b08d8ce99f5fe68122c7d9be1ccf

Observation 76eca15e-7474-43dc-8b6f-34d9fe1dce12 · inbound

Population-Scalable Multi-Agent World Modeling cites this paper.

Population-Scalable Multi-Agent World Modeling AdaWorld: Learning Adaptable World Models with Latent Actions

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-14T04:34:31.716691Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:34:31.716691Z digest=sha256:8af238fa45935a3ef515c63747df13ff3b605b408d01e03c5bfb4556f328dca0