Pith. sign in

Paper Citation Record · LEDGER

AdaWorld: Learning Adaptable World Models with Latent Actions

As of 18 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 2026-08-18T06:34:40.430872+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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
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:f57ffb918ea2700f5c04bb2d90f8f40d099f50f2d791fe756bf8077d4b303e1b

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T15:28:06.883492Z digest=sha256:59dfcae196221b2c189b27a9a1e05b6fccf304a9125fc05a14296cac60124eb2

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T23:50:45.332466Z digest=sha256:a5cc4a7b9e25bb0bf033d82d07a997ccde0765e43ceea2e2afc0cde223c9e4ad

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

Resolution
unresolved
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=sha256:6c593cc2bc86aa95ec9faede2446d1d756b0943cc41ab49a11c1d681392cc7b0

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

Resolution
unresolved
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=sha256:0547db28293902f7d73903627a71d2fa3504de9bf11ca0f2f2af49fc6945e238

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T06:36:13.144868Z digest=sha256:a4ad374e44999087d569a27f9a1d34a139dcfed97a09f44e558c340c1b7e82af

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

Resolution
unresolved
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=sha256:7f61f71ddb41da22510d88c0364ce0a242c3e3ac29ff461f1045efebaa3a4b14

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

Resolution
unresolved
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:fa5f0d1a1d29e2cb6d10c88300a9ad2f6ba790ca62043455b5d848115d47892a

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T01:14:10.174044Z digest=sha256:e67acc7888897da84e7e6bb5d25bb9f356a763df3f4bcd5f5b305c5163424aa9

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T02:28:37.997148Z digest=sha256:df48b570de4a2d68d17b19ae7059f727cae6a28ce6a328b3f2a4505f970215db

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

Resolution
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=sha256:8bd07c30d2ffb1d3f1334806c6e9e52a6c13100b9b2ca1c5d6d04f73360ef0f9

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T20:18:31.988002Z digest=sha256:c95839b48cbb6c9cf863c10c95e4ebe7e44fedbd2840adf18e5f181ad8504dfe

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T19:49:23.086498Z digest=sha256:e17d5e1bf5b46a5ec8a257c9db5aeebe771c26e6325ca5c9e6d0649dbbbf21e3

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:0c04966e02cdc587e57dfbae7338b10d4fb3acc7b170acc62fa4da58d533fd7b

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T08:57:27.503349Z digest=sha256:5a1a55a8b947d09df6ee7e7a3bca30d410042297e77962024255ccfcbf5556a7

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:55:31.825583Z digest=sha256:dfb248c1d203a1d9a088a867fbf7ce6903f7accfbca7688d8b45da59c7b7ea94

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T13:39:05.969414Z digest=sha256:81ca71cd43132cf614a1e0c362e5e1edb7bf43ac8abd43d1a044a2079c273b31

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T01:46:31.004068Z digest=sha256:439ef809bd1cb05558bb4cb0b18bb36fcd43a52e02e8cb618e47ef510d16ce32

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T04:14:54.885244Z digest=sha256:d732cc2f7585233e867090f4bfc419cb00598b8174def951e99726faded515e4

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T21:14:56.501485Z digest=sha256:d29ab81c030aaf7f465ee7ed1735c1daba64300776582345c14cb2d0c8bddb43

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T14:14:41.662856Z digest=sha256:00c98bca4d6561515f1ee60be7e22093990a0d20429afd6d0e15031d426b2539

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T13:15:54.413960Z digest=sha256:ed1d68ee49899e6f0a9e0a05d85a007742aeaeb83f779c44c2f7c7438dd54873

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T07:28:20.248452Z digest=sha256:3101ee124536a7e4eaecfc06ab055dead0d47ddb994b5418a405e72138e18533

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:15:14.454649Z digest=sha256:8ad3eb86cb8de1968c3b81b53e09812d84fe3f067b941dd66e2431038d6cf3c8

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T09:55:00.402411Z digest=sha256:6fd0c9730b691cc8c0494d65df2ad90ca3496467cd7e84da88249ab863a7eedc

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

Resolution
metadata mismatch
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T10:23:43.501656Z digest=sha256:08d5f212b041a037b6c1aff87bcadc9e32078a12a5c947da1df849697e73537f

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T09:40:02.137152Z digest=sha256:3069ac497406d6ee309ab243a68d1aa41864852bd835ee728c7c8116f92eefa2

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T17:11:12.686936Z digest=sha256:35ccd263a93e708eb1e74276ec5b19697019d0793d3d98de69c64926e6d0f442

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T14:28:36.505775Z digest=sha256:be9aa13520f6de0a927f2dfef368f341e2866b9cf8760c21cf52844042a7c39d

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

Resolution
verified exact
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T07:58:17.225491Z digest=sha256:452cc1f3713997d62b7b0f55638bfb25be5ac2bd3f45d0407ade7b1a1d27fc1f

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

Resolution
metadata mismatch
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T09:31:11.525648Z digest=sha256:6d0300f77e2fd394a1b8b20ae072b71151eea553fc14968c02f63ecf01b0bbf0

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

Resolution
metadata mismatch
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T11:26:48.626947Z digest=sha256:61585e8e8f8c4c0ee8902032dadd4f94e3bbcfa9c6b6a09bd1a1ae6ca59c7323

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T20:35:21.512564Z digest=sha256:21fc2f073c2a9563f64ec18db9b0af037e39fefe527055ca0cb63b05fa862696

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

Resolution
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:bcedff2cd2e607d84ab00ae04b94a9fe25268dc09d1b9e4516e9498b0906ed2b

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

Resolution
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=sha256:313b47e102579798890ec40777c8ea4d7b21f4efc351e16613d164423a2de42f

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:dcd3cdc0aad1fb705ce3bf2b6ea5b8558d2bcf7cf4de51484747bc45bf5c5055

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=sha256:78a09aae20f7ae90a087f6532427eb4482c81a5a56218ebfe76cd8f043ca02b2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:27:05.794978Z digest=sha256:3141f4659837419c5589d3e15c4b16e5bdb5dfef99086f3cd3f5aa0e43dbbb33

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:23:47.909595Z digest=sha256:bb4b40e787ef598995fc852e3bc000681a9ffdf6b8159de2158c174fe7d43135

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

Resolution
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=sha256:35035ba806dff86e60369ad8d937ef9d01a3279e9d82a015b31da8652a83eed8

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

Resolution
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=sha256:2d3fcea2e2e5473a6153d78c8a39993f9b86de570bc97219f3e8bb4c45ffc532

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

Resolution
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=sha256:4c3bcbb75150762217207c7ff01cdb8e3f0f7cbf1cc7e3a2862d7ad77707c9e7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:34:31.716691Z digest=sha256:efb8650b1eb794064ae9c0b2766a3b2fa357eb42094f258c574a27ee15b620fb