Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2202.09481.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:46:12.776080Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:29:59.391915Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation ac4f0afd-5669-49bb-87ad-933d6eb35069 · inbound
Learning Interactive Real-World Simulators TransDreamer: Reinforcement Learning with Transformer World Models
Reference 248
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8b9758a8-b7ab-4565-8fb0-5c012984330e · inbound
GLAM: Global-Local Variation Awareness in Mamba-based World Model TransDreamer: Reinforcement Learning with Transformer World Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad5b11b-4f71-49ac-8b69-c3a7151a3158 · inbound
Predictive Learning in Energy-based Models with Attractor Structures TransDreamer: Reinforcement Learning with Transformer World Models
Reference 1995
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de623897-acb9-4a5d-9de1-75fd09d07472 · inbound
TransDreamerV3: Implanting Transformer In DreamerV3 TransDreamer: Reinforcement Learning with Transformer World Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c4b179b-90c0-45b2-a82b-726aef76d7bb · inbound
From 2D to 3D Cognition: A Brief Survey of General World Models TransDreamer: Reinforcement Learning with Transformer World Models
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d623d6c-3ba5-4489-bff8-26bf589fbde1 · inbound
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models TransDreamer: Reinforcement Learning with Transformer World Models
Reference 276
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3febb1cf-f523-4cb9-8de8-7d08acdfd19c · inbound
Reinforcement Learning in hyperbolic space for multi-step reasoning TransDreamer: Reinforcement Learning with Transformer World Models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8486733-f28e-4ea1-81f2-78992c4c520f · inbound
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges TransDreamer: Reinforcement Learning with Transformer World Models
Reference 109
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b08209f-d611-4923-a8c2-29f06838838d · inbound
TransZero: Parallel Tree Expansion in MuZero using Transformer Networks TransDreamer: Reinforcement Learning with Transformer World Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e8a3cd2-2149-49c1-a5bd-6af4642678c5 · inbound
A Comprehensive Survey on World Models for Embodied AI TransDreamer: Reinforcement Learning with Transformer World Models
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8d2c9a1-e8ef-407f-83f4-ee6f51ec8a6c · inbound
RynnVLA-002: A Unified Vision-Language-Action and World Model TransDreamer: Reinforcement Learning with Transformer World Models
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03d0e45d-b62a-4474-86bf-33bc6ed78112 · inbound
Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents TransDreamer: Reinforcement Learning with Transformer World Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a31de791-e45c-45f8-8294-2f91e5923d7e · inbound
Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents TransDreamer: Reinforcement Learning with Transformer World Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77941a5b-5ae9-4611-88e9-ad340d444ff5 · inbound
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation TransDreamer: Reinforcement Learning with Transformer World Models
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 54f136d8-2511-43fe-b89f-85e1bfad8015 · inbound
Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation TransDreamer: Reinforcement Learning with Transformer World Models
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e012cc25-d11a-4c6d-a26a-d8824cf87cd8 · inbound
Toward Hardware-Agnostic Quadrupedal World Models via Morphology Conditioning TransDreamer: Reinforcement Learning with Transformer World Models
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 22712db5-0bc1-44b7-92bd-8a3530d81fde · inbound
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond TransDreamer: Reinforcement Learning with Transformer World Models
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 12c5b905-b11e-40ea-9cc1-1ae8eb3ec515 · inbound
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond TransDreamer: Reinforcement Learning with Transformer World Models
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 376c075e-9213-4ca3-9d57-9ef0c3e0b946 · inbound
TRAP: Tail-aware Ranking Attack for World-Model Planning TransDreamer: Reinforcement Learning with Transformer World Models
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 065034ec-a8db-4aa2-9da9-a3dddcc6e241 · inbound
Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari TransDreamer: Reinforcement Learning with Transformer World Models
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5d97e352-3f56-42df-be04-923eff572587 · inbound
World Action Models: The Next Frontier in Embodied AI TransDreamer: Reinforcement Learning with Transformer World Models
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 404e91f8-9fe7-4420-a595-fbe3cf73c42c · inbound
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications TransDreamer: Reinforcement Learning with Transformer World Models
Reference 153
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 94944b7d-fe45-447c-8678-907977522590 · inbound
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning TransDreamer: Reinforcement Learning with Transformer World Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation eef52c62-27c1-4cff-a24e-20b623e74037 · inbound
$\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation TransDreamer: Reinforcement Learning with Transformer World Models
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f41b02b6-c3cd-41b8-8ac6-cdeaaa07d806 · inbound
Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks TransDreamer: Reinforcement Learning with Transformer World Models
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2064146c-b9b2-4b9e-b8d0-94bed609f386 · inbound
World Action Models: A Survey TransDreamer: Reinforcement Learning with Transformer World Models
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4ea91174-79e3-43f0-be2a-53f5b66fb632 · inbound
From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training TransDreamer: Reinforcement Learning with Transformer World Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 030df879-3138-4bc8-a498-8636771c8e01 · inbound
Reinforcement Learning: From Algorithms To Foundation Models TransDreamer: Reinforcement Learning with Transformer World Models
Reference 258
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 TransDreamer: Reinforcement Learning with Transformer World Models
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.