Paper Citation Record · LEDGER

Transformers are Sample-Efficient World Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 inbound Pith citation observations for arXiv:2209.00588.

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

pith.paper-citation-record.v1
2209.00588 v2

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measured 0 of 0 reference resolution

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measured 51 of 51 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 51 of 51 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:56.559445Z

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

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External citation measurements

11
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 fe5de3b0-5a7e-4efd-9243-25a159a9ff42 · inbound

Mastering Diverse Domains through World Models cites this paper.

Mastering Diverse Domains through World Models Transformers are Sample-Efficient World Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:08:22.239685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec07214d-642c-4750-aeb4-196909d9e68a · inbound

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

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Transformers are Sample-Efficient World Models

Reference 231

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:35.223478Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a0f5bbb-35d2-414c-8089-ab4542cb8bc0 · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Transformers are Sample-Efficient World Models

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:15:18.578413Z

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Observation c4a750c0-6672-4e3c-8023-4b52e399a5d5 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Transformers are Sample-Efficient World Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.894196Z

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Observation 72a6975e-3941-4e34-ac81-7fa098079cb2 · 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 Transformers are Sample-Efficient World Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T16:06:09.546520Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7f2de81-866a-4b43-8f7f-7f58fd90fec5 · inbound

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model cites this paper.

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model Transformers are Sample-Efficient World Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T18:07:55.172725Z

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Observation c77cfc62-adb1-4550-beef-8dbd6f4347a8 · inbound

Advances in Transformers for Robotic Applications: A Review cites this paper.

Advances in Transformers for Robotic Applications: A Review Transformers are Sample-Efficient World Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T15:50:38.103476Z

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Observation 79d642db-f29f-48ad-a423-53202d3a78b8 · inbound

Physically Interpretable World Models via Weakly Supervised Representation Learning cites this paper.

Physically Interpretable World Models via Weakly Supervised Representation Learning Transformers are Sample-Efficient World Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:02:41.454866Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec52e0f8-28a7-4a87-9c2d-1113921581aa · inbound

GLAM: Global-Local Variation Awareness in Mamba-based World Model cites this paper.

GLAM: Global-Local Variation Awareness in Mamba-based World Model Transformers are Sample-Efficient World Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T17:46:12.877300Z

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Observation 0a0e73ef-fc28-4ba2-816e-1886d9881029 · inbound

Celo: Training Versatile Learned Optimizers on a Compute Diet cites this paper.

Celo: Training Versatile Learned Optimizers on a Compute Diet Transformers are Sample-Efficient World Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:13.996030Z

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Observation df12cee0-1c25-402c-987f-717774acf3fd · inbound

Improving Transformer World Models for Data-Efficient RL cites this paper.

Improving Transformer World Models for Data-Efficient RL Transformers are Sample-Efficient World Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T14:59:44.978570Z

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Observation 229f2fce-0ef9-4186-99ec-4622b15557b2 · inbound

TesserAct: Learning 4D Embodied World Models cites this paper.

TesserAct: Learning 4D Embodied World Models Transformers are Sample-Efficient World Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T05:18:56.559445Z

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Observation 8ba322c7-646c-418d-9622-261ee4a5c97b · inbound

EgoM2P: Egocentric Multimodal Multitask Pretraining cites this paper.

EgoM2P: Egocentric Multimodal Multitask Pretraining Transformers are Sample-Efficient World Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T05:31:42.535714Z

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Observation d393fcec-ba8b-4778-afac-e8d10cae1660 · inbound

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts cites this paper.

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts Transformers are Sample-Efficient World Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:20:55.759836Z

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Observation 9c7a1f1d-0d53-4779-8f0e-0cd8405ea642 · inbound

TransDreamerV3: Implanting Transformer In DreamerV3 cites this paper.

TransDreamerV3: Implanting Transformer In DreamerV3 Transformers are Sample-Efficient World Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:42.307238Z

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Observation e14bdcdf-b092-46f3-af68-3412e3b68ac1 · inbound

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation cites this paper.

ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation Transformers are Sample-Efficient World Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:03.627880Z

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Observation 70dd9159-4f70-4675-9c12-5c9f97056ab5 · inbound

Dyn-O: Building Structured World Models with Object-Centric Representations cites this paper.

Dyn-O: Building Structured World Models with Object-Centric Representations Transformers are Sample-Efficient World Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:05.208679Z

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Observation 2abbddc4-b6e8-4c0f-b310-fe7196d9fa3f · inbound

Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution cites this paper.

Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution Transformers are Sample-Efficient World Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:33.828335Z

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Observation fabe89ac-46af-4c8c-bd55-23aa893ae3a3 · inbound

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning cites this paper.

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning Transformers are Sample-Efficient World Models

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:46.673072Z

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Observation b3cabe2a-48d2-421e-adae-6a74c33524e4 · inbound

TransZero: Parallel Tree Expansion in MuZero using Transformer Networks cites this paper.

TransZero: Parallel Tree Expansion in MuZero using Transformer Networks Transformers are Sample-Efficient World Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:58:12.970112Z

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Observation ef332b5f-eef0-49bb-99a8-9255160bebce · inbound

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions cites this paper.

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions Transformers are Sample-Efficient World Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:56:26.120838Z

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Observation bd448093-7fd6-4800-8892-8cf16a760a76 · inbound

Model-Based Reinforcement Learning under Random Observation Delays cites this paper.

Model-Based Reinforcement Learning under Random Observation Delays Transformers are Sample-Efficient World Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.699389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cac2491f-2f3a-4aa6-9edd-61bc23545038 · inbound

Training Agents Inside of Scalable World Models cites this paper.

Training Agents Inside of Scalable World Models Transformers are Sample-Efficient World Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:05:52.535663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a91250d-6336-47b1-8906-7fff4a106d4a · inbound

Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task cites this paper.

Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task Transformers are Sample-Efficient World Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:56:14.009494Z

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Observation 567410f8-dffe-4d14-8619-eb46b4c8ff43 · inbound

RynnVLA-002: A Unified Vision-Language-Action and World Model cites this paper.

RynnVLA-002: A Unified Vision-Language-Action and World Model Transformers are Sample-Efficient World Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T20:59:52.054195Z

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Observation b4464b63-89be-448e-ab6a-1b4661adf531 · inbound

Advantage-Guided Diffusion for Model-Based Reinforcement Learning cites this paper.

Advantage-Guided Diffusion for Model-Based Reinforcement Learning Transformers are Sample-Efficient World Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:00.798168Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b6a51b2-af63-4bf7-8e5e-4607d01d4609 · inbound

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation cites this paper.

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation Transformers are Sample-Efficient World Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:20.143403Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 233995e7-0697-48b7-b099-2c191706f632 · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Transformers are Sample-Efficient World Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:21:47.629768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b04c5e12-280f-4e81-8978-b5c05e03c7cf · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Transformers are Sample-Efficient World Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.829546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9013ab81-2f5a-4655-be87-0295e3cc0ad9 · inbound

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

Latent State Design for World Models under Sufficiency Constraints Transformers are Sample-Efficient World Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:04.244644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f163a1b8-b058-4912-b92c-23d757fa4ef3 · 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 Transformers are Sample-Efficient World Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:07.855108Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4ce2999-e2b0-4e87-a562-b4f188707952 · 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 Transformers are Sample-Efficient World Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:58.466032Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a19cb5d0-9f1a-416d-aade-e41899725e4e · inbound

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning cites this paper.

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning Transformers are Sample-Efficient World Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:51.837639Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 928dfd3b-9d94-4683-8840-f43853c8cc08 · inbound

Self-supervised Hierarchical Visual Reasoning with World Model cites this paper.

Self-supervised Hierarchical Visual Reasoning with World Model Transformers are Sample-Efficient World Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:43:16.877972Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04cd9e32-4568-4b25-b34b-26d7e25d57b6 · inbound

Self-supervised Hierarchical Visual Reasoning with World Model cites this paper.

Self-supervised Hierarchical Visual Reasoning with World Model Transformers are Sample-Efficient World Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.276566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b18e9c7-f631-4854-a40c-60d949ff56f1 · inbound

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models cites this paper.

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models Transformers are Sample-Efficient World Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.906112Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7590e85-1f7b-4489-8698-98e38e47dc30 · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI Transformers are Sample-Efficient World Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:13:16.506601Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8f8c26b-3825-4383-a775-0a59a4895858 · inbound

AR Forcing: Towards Long-Horizon Robot Navigation World Model cites this paper.

AR Forcing: Towards Long-Horizon Robot Navigation World Model Transformers are Sample-Efficient World Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:56:10.920634Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd56e093-593d-40a8-80ed-087d8beb462c · inbound

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning cites this paper.

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning Transformers are Sample-Efficient World Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:32:34.976145Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d711bbb5-370d-4bdd-a173-52ac616c4363 · inbound

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models cites this paper.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models Transformers are Sample-Efficient World Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.159472Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19f3f764-96c0-4847-8bda-6ffcecc84105 · 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 Transformers are Sample-Efficient World Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.576068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d14a3cc8-e7ff-436f-8f04-8bf9d8097d3d · inbound

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents cites this paper.

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents Transformers are Sample-Efficient World Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:56.135117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e2af66f-45e0-4680-aade-6caa02f92ce6 · inbound

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents cites this paper.

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents Transformers are Sample-Efficient World Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:48.785434Z

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Observation 6aecf506-45f9-48a1-854f-a6c46f89588f · inbound

Towards World Models in Biomedical Research cites this paper.

Towards World Models in Biomedical Research Transformers are Sample-Efficient World Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:56:57.716932Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ada0b222-2599-4b22-8323-ae855d4a2985 · inbound

Qwen-AgentWorld: Language World Models for General Agents cites this paper.

Qwen-AgentWorld: Language World Models for General Agents Transformers are Sample-Efficient World Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.234082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0c55018-463d-4e60-8c86-d11eb25a2215 · inbound

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

Flow Matching in Feature Space for Stochastic World Modeling Transformers are Sample-Efficient World Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:34:34.527112Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b98dc6e-66b0-4f11-a6a4-6a73094d041c · inbound

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

Reinforcement Learning: From Algorithms To Foundation Models Transformers are Sample-Efficient World Models

Reference 243

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:20.431788Z

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Observation 64e79bf2-d2de-402c-8601-77b0ca43ed05 · inbound

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback cites this paper.

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback Transformers are Sample-Efficient World Models

Reference 226

Resolution: unresolved; no resolver link, observed 2026-08-03T04:39:32.062312Z

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Unavailable: canonical work link unavailable.

Observation 7f1cbae1-2e25-4a9a-a214-f098db407267 · 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 Transformers are Sample-Efficient World Models

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.053302Z

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Unavailable: canonical work link unavailable.

Observation 69534b34-2f3f-4885-a6bb-c0370e897996 · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? Transformers are Sample-Efficient World Models

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:07.667583Z

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Unavailable: canonical work link unavailable.

Observation 5592443c-77c2-47b9-a5b0-786961428b32 · inbound

TaskSense: Focusing on What Matters in World Models cites this paper.

TaskSense: Focusing on What Matters in World Models Transformers are Sample-Efficient World Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T04:21:20.361094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.