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Paper Citation Record · LEDGER

TransDreamer: Reinforcement Learning with Transformer World Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2202.09481.

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

pith.paper-citation-record.v1
2202.09481 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:56.390936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.391915Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ac4f0afd-5669-49bb-87ad-933d6eb35069 · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators TransDreamer: Reinforcement Learning with Transformer World Models

Reference 248

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arxiv_id, observed 2026-05-16T02:15:18.565021Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8b9758a8-b7ab-4565-8fb0-5c012984330e · inbound

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

GLAM: Global-Local Variation Awareness in Mamba-based World Model TransDreamer: Reinforcement Learning with Transformer World Models

Reference 6

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source=arxiv_source observed=2026-08-10T17:46:12.776080Z digest=sha256:9f71ada7adad11fa8e43bacd1fce99e81bf6205c98e8ee11ef4c6353be84c55c

Observation fad5b11b-4f71-49ac-8b69-c3a7151a3158 · inbound

Predictive Learning in Energy-based Models with Attractor Structures cites this paper.

Predictive Learning in Energy-based Models with Attractor Structures TransDreamer: Reinforcement Learning with Transformer World Models

Reference 1995

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Observation efb3a82d-373f-4c3e-8f2e-c738d9ed9432 · inbound

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

TesserAct: Learning 4D Embodied World Models TransDreamer: Reinforcement Learning with Transformer World Models

Reference 11

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Observation de623897-acb9-4a5d-9de1-75fd09d07472 · inbound

TransDreamerV3: Implanting Transformer In DreamerV3 cites this paper.

TransDreamerV3: Implanting Transformer In DreamerV3 TransDreamer: Reinforcement Learning with Transformer World Models

Reference 2

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no resolver link, observed 2026-08-06T23:34:41.494804Z

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source=pdf_text observed=2026-08-06T23:34:41.494804Z digest=sha256:f3422d1d55c693a380c81ad518f9fe52c78860193147a9e44ffa04510476f968

Observation 1c4b179b-90c0-45b2-a82b-726aef76d7bb · inbound

From 2D to 3D Cognition: A Brief Survey of General World Models cites this paper.

From 2D to 3D Cognition: A Brief Survey of General World Models TransDreamer: Reinforcement Learning with Transformer World Models

Reference 17

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source=pdf_text observed=2026-08-06T22:57:41.520886Z digest=sha256:b5c881a3dc944553848ffa86ce541e48b09be21274962945029f6cb97f2d2367

Observation 3d623d6c-3ba5-4489-bff8-26bf589fbde1 · inbound

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models TransDreamer: Reinforcement Learning with Transformer World Models

Reference 276

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Observation 3febb1cf-f523-4cb9-8de8-7d08acdfd19c · inbound

Reinforcement Learning in hyperbolic space for multi-step reasoning cites this paper.

Reinforcement Learning in hyperbolic space for multi-step reasoning TransDreamer: Reinforcement Learning with Transformer World Models

Reference 14

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source=pdf_text observed=2026-08-06T15:24:26.376531Z digest=sha256:de6c0901e1f6568783678109341078504f2d4360bd37b30502d8a4039a3f6e31

Observation e8486733-f28e-4ea1-81f2-78992c4c520f · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges TransDreamer: Reinforcement Learning with Transformer World Models

Reference 109

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source=pdf_text observed=2026-08-05T21:02:04.490183Z digest=sha256:b4f808bce3c42e51ef7706bf0855b1c60b2da39e888ce7bf82354b6c92effaac

Observation 4b08209f-d611-4923-a8c2-29f06838838d · inbound

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

TransZero: Parallel Tree Expansion in MuZero using Transformer Networks TransDreamer: Reinforcement Learning with Transformer World Models

Reference 2

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source=pdf_text observed=2026-08-04T16:58:12.951096Z digest=sha256:f32e71c5d4a0fa13ed6bdfdb7e7671d95f7bca683dad83751e51be24873dded6

Observation 0e8a3cd2-2149-49c1-a5bd-6af4642678c5 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI TransDreamer: Reinforcement Learning with Transformer World Models

Reference 28

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Observation c8d2c9a1-e8ef-407f-83f4-ee6f51ec8a6c · inbound

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

RynnVLA-002: A Unified Vision-Language-Action and World Model TransDreamer: Reinforcement Learning with Transformer World Models

Reference 8

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Observation 03d0e45d-b62a-4474-86bf-33bc6ed78112 · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents TransDreamer: Reinforcement Learning with Transformer World Models

Reference 3

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verified exact
arxiv_id, observed 2026-05-17T03:11:30.133015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a31de791-e45c-45f8-8294-2f91e5923d7e · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents TransDreamer: Reinforcement Learning with Transformer World Models

Reference 3

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Observation 77941a5b-5ae9-4611-88e9-ad340d444ff5 · inbound

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation cites this paper.

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation TransDreamer: Reinforcement Learning with Transformer World Models

Reference 5

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arxiv_id, observed 2026-05-15T09:49:54.540530Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 54f136d8-2511-43fe-b89f-85e1bfad8015 · inbound

Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation cites this paper.

Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation TransDreamer: Reinforcement Learning with Transformer World Models

Reference 9

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arxiv_id, observed 2026-05-11T06:10:59.278392Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e012cc25-d11a-4c6d-a26a-d8824cf87cd8 · inbound

Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal Locomotion cites this paper.

Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal Locomotion TransDreamer: Reinforcement Learning with Transformer World Models

Reference 11

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arxiv_id, observed 2026-05-11T07:56:00.578231Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 22712db5-0bc1-44b7-92bd-8a3530d81fde · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond TransDreamer: Reinforcement Learning with Transformer World Models

Reference 48

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arxiv_id, observed 2026-05-11T19:26:08.135375Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 12c5b905-b11e-40ea-9cc1-1ae8eb3ec515 · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond TransDreamer: Reinforcement Learning with Transformer World Models

Reference 48

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arxiv_id, observed 2026-07-04T17:29:59.393412Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 376c075e-9213-4ca3-9d57-9ef0c3e0b946 · inbound

TRAP: Tail-aware Ranking Attack for World-Model Planning cites this paper.

TRAP: Tail-aware Ranking Attack for World-Model Planning TransDreamer: Reinforcement Learning with Transformer World Models

Reference 8

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arxiv_id, observed 2026-05-11T10:56:05.062640Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 065034ec-a8db-4aa2-9da9-a3dddcc6e241 · inbound

Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari cites this paper.

Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari TransDreamer: Reinforcement Learning with Transformer World Models

Reference 49

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Observation 5d97e352-3f56-42df-be04-923eff572587 · inbound

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

World Action Models: The Next Frontier in Embodied AI TransDreamer: Reinforcement Learning with Transformer World Models

Reference 31

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Observation 404e91f8-9fe7-4420-a595-fbe3cf73c42c · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications TransDreamer: Reinforcement Learning with Transformer World Models

Reference 153

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arxiv_id, observed 2026-06-29T08:43:15.715868Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 94944b7d-fe45-447c-8678-907977522590 · 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 TransDreamer: Reinforcement Learning with Transformer World Models

Reference 3

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arxiv_id, observed 2026-06-28T19:32:34.973335Z

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Observation eef52c62-27c1-4cff-a24e-20b623e74037 · inbound

$\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation cites this paper.

$\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation TransDreamer: Reinforcement Learning with Transformer World Models

Reference 8

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arxiv_id, observed 2026-06-28T17:22:24.467803Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f41b02b6-c3cd-41b8-8ac6-cdeaaa07d806 · inbound

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks cites this paper.

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks TransDreamer: Reinforcement Learning with Transformer World Models

Reference 9

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arxiv_id, observed 2026-06-29T16:23:39.738438Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2064146c-b9b2-4b9e-b8d0-94bed609f386 · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey TransDreamer: Reinforcement Learning with Transformer World Models

Reference 18

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arxiv_id, observed 2026-07-04T04:09:35.516132Z

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Observation 4ea91174-79e3-43f0-be2a-53f5b66fb632 · inbound

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training cites this paper.

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training TransDreamer: Reinforcement Learning with Transformer World Models

Reference 3

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Observation 030df879-3138-4bc8-a498-8636771c8e01 · inbound

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

Reinforcement Learning: From Algorithms To Foundation Models TransDreamer: Reinforcement Learning with Transformer World Models

Reference 258

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Observation b189d7ad-6386-4137-ab8c-660490ed767b · 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 TransDreamer: Reinforcement Learning with Transformer World Models

Reference 25

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