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Paper Citation Record · LEDGER

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.05419.

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

pith.paper-citation-record.v1
2506.05419 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:33.455516Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ac2cfb4-4cb5-48c5-8978-5e9ff6b2a038 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions , " * write output.state after.block = add.period write newline

Reference 1

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Observation c9715e91-119b-426b-a71f-560c07d42cd5 · outbound

This paper cites write newline.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions write newline

Reference 2

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source=arxiv_source observed=2026-08-07T10:46:33.270159Z digest=sha256:f6f3227027f97112405d607789193667f35c9b4a52e0f1a1a4d8b2c22b7feb92

Observation 39ad184c-d377-416c-b943-c7433c4b91a4 · outbound

This paper cites M.; Baker, B.; Chociej, M.; Jozefowicz, R.; McGrew, B.; Pachocki, J.; Petron, A.; Plappert, M.; Powell, G.; Ray, A.; et al.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions M.; Baker, B.; Chociej, M.; Jozefowicz, R.; McGrew, B.; Pachocki, J.; Petron, A.; Plappert, M.; Powell, G.; Ray, A.; et al

Reference 3

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Observation f70b3231-065d-4d98-af5b-03ecef7d714a · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-07T10:46:33.280838Z digest=sha256:4e301d9326524be6ebc3c69fc59237d9b749e73c53561627027fe9bbf3a5e63f

Observation 91605e26-531e-4135-8c04-cc0faacb3dfd · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-07T10:46:33.285818Z digest=sha256:a093fedb4ad8ac890e57986bbe848c663c2f4ead52748b57d518134aa52ff961

Observation 55300283-bbdc-45f5-917b-bf5356b156d8 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 6

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source=arxiv_source observed=2026-08-07T10:46:33.290661Z digest=sha256:2394448729095c8ac09f6f50704f00334ca084201efcd6d3934cbe161e3b711d

Observation 408e41b6-28a4-43ef-8d4a-e5b737cc4dc4 · outbound

This paper cites DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

Reference 7

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local_arxiv, observed 2026-08-07T10:46:33.809247Z

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Observation ac793bc0-ca7d-4b82-ae2c-4eba03993784 · outbound

This paper cites SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Reference 8

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Observation 09868e53-f4cc-4280-aa5c-b9c41749adfd · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Bootstrap your own latent: A new approach to self-supervised Learning

Reference 9

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Observation 091f1499-10b1-425e-925d-5be4622a20e0 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Soft Actor-Critic Algorithms and Applications

Reference 10

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Observation c628a9b6-8d99-4f3f-b877-a888c2202a62 · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 11

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Observation 589ed17f-286f-4246-b38f-5a4baacbfbb5 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Dream to Control: Learning Behaviors by Latent Imagination

Reference 12

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Observation b18207c7-d6c0-425e-b3ee-11b05ba1e286 · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 13

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Observation c4d29064-fce5-4146-a4cc-b86416fa9d23 · outbound

This paper cites Mastering Atari with Discrete World Models.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Mastering Atari with Discrete World Models

Reference 14

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Observation afbb0b57-1947-452d-a646-5d279a3277af · outbound

This paper cites Self-Supervised Policy Adaptation during Deployment.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Self-Supervised Policy Adaptation during Deployment

Reference 15

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Observation d9b04dd5-4838-4936-9a76-5d5e8fe300fe · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 536df6c4-32ec-4bba-91e2-341ffd6ead45 · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 17

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Observation 9d1aad01-ce28-4b7f-8191-cc3488c2bffa · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 18

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Observation c19a540d-3558-4702-8089-e7aacdd8b731 · outbound

This paper cites A.; Wood, F.; and Whiteson, S.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions A.; Wood, F.; and Whiteson, S

Reference 19

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Observation bf416417-af84-4ae1-80df-d384c5a667fa · outbound

This paper cites QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 20

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Observation 0a333628-fd1f-4844-af2d-54f90b435ee0 · outbound

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Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions The Kinetics Human Action Video Dataset

Reference 21

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Observation 345491fd-9b89-4c89-be97-77f14be5aed4 · outbound

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Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 22

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Observation 92d9f913-6e06-41dd-ae39-933d9b567cf5 · outbound

This paper cites Auto-Encoding Variational Bayes.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Auto-Encoding Variational Bayes

Reference 23

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Observation ca15b58e-d58a-4a32-aa83-847b42d67ad9 · outbound

This paper cites Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 24

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Observation 29812cc8-0fe1-4770-b636-0100017627c0 · outbound

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Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 25

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Observation dd5ad8b5-d1ea-4268-883b-6d64ff60e779 · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-07T10:46:33.395748Z digest=sha256:7eee784a286be4c9cd20054d91aa98fae2d478d9f46340c72c8e9ed0fd22dc33

Observation cebd13a9-e52d-4cff-925d-16f03ea56328 · outbound

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Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Continuous control with deep reinforcement learning

Reference 27

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source=arxiv_source observed=2026-08-07T10:46:33.400134Z digest=sha256:4379e799aedd757dc339552d844105af025d030be98b56aab38085ace906d5b0

Observation 2cb3bf45-11a5-45a6-8238-3330c0d3da58 · outbound

This paper cites Contrastive Variational Reinforcement Learning for Complex Observations.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Contrastive Variational Reinforcement Learning for Complex Observations

Reference 28

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f3b445f8-8827-4bd2-89ef-296ec9d941c2 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Playing Atari with Deep Reinforcement Learning

Reference 29

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Observation 47b9141a-582b-4086-b22d-67d40ea7ab29 · outbound

This paper cites Visual Reinforcement Learning with Imagined Goals.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Visual Reinforcement Learning with Imagined Goals

Reference 30

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Observation e45c6d81-7553-47d9-b2fd-dde35d9f1e0c · outbound

This paper cites Temporal Predictive Coding For Model-Based Planning In Latent Space.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Temporal Predictive Coding For Model-Based Planning In Latent Space

Reference 31

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Observation 8044da19-6a21-4edf-a60c-e5228d7cb8ef · outbound

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Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Representation Learning with Contrastive Predictive Coding

Reference 32

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source=arxiv_source observed=2026-08-07T10:46:33.426114Z digest=sha256:27a555f996a8ab440c29f49a061da99a17774d82e1be9ced85b93f24f3ebb7a6

Observation 622f7176-ab45-47b8-b0f4-5551c07d01c7 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 33

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Observation 3b87f3da-bbcd-4047-8f70-711a864ed974 · outbound

This paper cites S.; and Barto, A.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions S.; and Barto, A

Reference 34

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Observation 3669cb44-9fb7-4db1-9904-ddb582f30561 · outbound

This paper cites DeepMind Control Suite.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions DeepMind Control Suite

Reference 35

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Observation 60fe3543-3102-4ebf-b775-0d2c9d0fc1e1 · outbound

This paper cites an unresolved cited work.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:46:33.445809Z digest=sha256:cac8e894571be63f7dccc1dd9262db835669a4160b72ac201569670369fc0ec2

Observation e68be9ef-a36a-4622-834d-de3ccc2962b8 · outbound

This paper cites X.; and Lin, D.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions X.; and Lin, D

Reference 37

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no resolver link, observed 2026-08-07T10:46:33.450462Z

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source=arxiv_source observed=2026-08-07T10:46:33.450462Z digest=sha256:461d04f9bdfa19ede3a2f36afe239259b7f3b9779c19e150babb4913a1a1dab4

Observation 991b09fb-6a7d-4f27-a027-a953ed6a99b4 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:33.455516Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T10:46:33.455516Z digest=sha256:bd161bf57ea15922b8cb6888bbaf6e2615e96232ce9c282b897ea5677681047c

Pith citing papers

No inbound Pith citation observations are available.