Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:02:30.747596Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 3 inbound Pith citation observations for arXiv:2501.00195.
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, observed 2026-08-10T23:02:30.747596Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T23:58:42.573054Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:59:05.850298Z
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e3838fa2-f0c4-4972-9852-b11a87e9d1d0 · outbound
Towards Unraveling and Improving Generalization in World Models Learning latent dynamics for planning from pixels
Reference 1
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Unavailable: canonical work link unavailable.
Observation 7a64e54d-ab0f-4273-8ebd-8f4e503af1e9 · outbound
Towards Unraveling and Improving Generalization in World Models Dream to control: Learning behaviors by latent imagination, 2020
Reference 2
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Unavailable: canonical work link unavailable.
Observation 1c242292-679d-499e-a514-d007612704c8 · outbound
Towards Unraveling and Improving Generalization in World Models Mastering atari with discrete world models, 2022
Reference 3
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Observation fa409d74-0c26-47de-b3a0-67c3c95ba969 · outbound
Towards Unraveling and Improving Generalization in World Models Mastering Diverse Domains through World Models
Reference 4
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Observation 6a9a1500-557a-4665-962d-15d7437dae40 · outbound
Towards Unraveling and Improving Generalization in World Models Roberts, and Piotr Miłoś
Reference 5
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Observation 2e1a7fbe-11b9-40ad-9d94-9d0b652b3f74 · outbound
Towards Unraveling and Improving Generalization in World Models Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Reference 6
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Observation 58d1bb3a-5f25-4de3-bbe3-f670d1be8b4f · outbound
Towards Unraveling and Improving Generalization in World Models Day- dreamer: World models for physical robot learning
Reference 7
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Observation 371fd885-7bd2-4faa-9a6b-97331f510ba9 · outbound
Towards Unraveling and Improving Generalization in World Models Active world model learning with progress curiosity
Reference 8
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Observation 50215206-7d98-4761-ae07-bf013cda9b7b · outbound
Towards Unraveling and Improving Generalization in World Models Gaia-1: A generative world model for autonomous driving
Reference 9
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Observation a4e139f7-557a-4fbd-84a8-b9fd65f07e87 · outbound
Towards Unraveling and Improving Generalization in World Models Noisy recurrent neural networks.Advances in Neural Information Processing Systems, 34:5124–5137, 2021
Reference 10
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Observation 3821f569-0ff5-4ad4-9f3d-3f775595cdd6 · outbound
Towards Unraveling and Improving Generalization in World Models Theory of Deep Learning III: explaining the non-overfitting puzzle
Reference 11
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Observation caef8464-adf5-4cbc-8d6e-5d79bdde21f3 · outbound
Towards Unraveling and Improving Generalization in World Models Generalization error of deep neural networks: Role of classification margin and data structure
Reference 12
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Observation 53c1b6c0-9f67-472d-8afa-e2a1b7b781f7 · outbound
Towards Unraveling and Improving Generalization in World Models Explicit regularisation in gaussian noise injections, 2021
Reference 13
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Observation f68902a3-924d-4b17-8a1b-39ca58d704ac · outbound
Towards Unraveling and Improving Generalization in World Models A survey of zero-shot generalisation in deep reinforcement learning.Journal of Artificial Intelligence Research, 76: 201–264, 2023
Reference 14
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Observation f3dbcbda-2f46-4225-8125-ac26b299626d · outbound
Towards Unraveling and Improving Generalization in World Models Improving generalization in meta-learning via task augmentation
Reference 15
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Observation bdea21a2-f96d-43e2-a9c3-e4ca8b44b5e6 · outbound
Towards Unraveling and Improving Generalization in World Models Improving generalization in meta-rl with imaginary tasks from latent dynamics mixture
Reference 16
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Observation d8063e45-f017-4951-b5aa-445a041824bc · outbound
Towards Unraveling and Improving Generalization in World Models Robust re- inforcement learning using offline data
Reference 17
Source-reported events for the cited work
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Observation 07a82888-3b79-449b-87a6-d9a5151b137d · outbound
Towards Unraveling and Improving Generalization in World Models On the robustness of safe reinforcement learning under observational perturbations
Reference 18
Source-reported events for the cited work
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Observation 91f156e9-7dac-4f57-ae3b-6305b06b219c · outbound
Towards Unraveling and Improving Generalization in World Models The arcade learning environment: Anevaluationplatformforgeneralagents
Reference 19
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Observation 2e97564b-cf08-4a03-a0ce-6f159a556527 · outbound
Towards Unraveling and Improving Generalization in World Models Minecraft, beyond construction and survival
Reference 20
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Observation df6cf5ff-9774-493e-ab4e-3659a68d9170 · outbound
Towards Unraveling and Improving Generalization in World Models A review of recurrent neural networks: Lstm cells and network architectures.Neural computation, 31(7):1235–1270, 2019
Reference 21
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Observation 874ea78a-79c4-4c32-a1af-f124864f436b · outbound
Towards Unraveling and Improving Generalization in World Models Tutorial on Variational Autoencoders
Reference 22
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Observation 89f3a6df-e5cd-45a6-add0-0327c8237cae · outbound
Towards Unraveling and Improving Generalization in World Models Auto-Encoding Variational Bayes
Reference 23
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Observation a0879ec3-5222-466e-8182-414942d1981e · outbound
Towards Unraveling and Improving Generalization in World Models World Models
Reference 24
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Observation 12f077b4-635c-480d-8790-aff5a7798477 · outbound
Towards Unraveling and Improving Generalization in World Models Backpropagationappliedtohandwrittenzipcoderecognition
Reference 25
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Observation 13399691-e50e-4622-a7c0-5e35679a54e7 · outbound
Towards Unraveling and Improving Generalization in World Models Approximation and optimization theory for linear continuous-time recurrent neural networks.Journal of Machine Learning Research, 23(42): 1–85, 2022
Reference 26
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Observation e0ea38f1-59ce-4196-97aa-1740946f77a5 · outbound
Towards Unraveling and Improving Generalization in World Models Antisymmetricrnn: Adynamicalsystem view on recurrent neural networks, 2019
Reference 27
Source-reported events for the cited work
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Observation 64c78a10-adf4-45c2-af19-ee38823a3bee · outbound
Towards Unraveling and Improving Generalization in World Models Symplecticrecurrentneural networks, 2020
Reference 28
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Observation c944b677-2a7c-4627-84a8-a5c1002049e7 · outbound
Towards Unraveling and Improving Generalization in World Models The implicit and explicit regularization effects of dropout, 2020
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e86d20f5-7196-4965-a9fe-4159a84e47f6 · outbound
Towards Unraveling and Improving Generalization in World Models Michael Steele.Stochastic calculus and Financial Applications
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a570e023-66dd-4a5f-8f25-e8d020758531 · outbound
Towards Unraveling and Improving Generalization in World Models Unresolved cited work
Reference 31
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Observation 27ef366f-c2d3-4fcf-a2b2-147469637dd5 · outbound
Towards Unraveling and Improving Generalization in World Models On large-batch training for deep learning: Generalization gap and sharp minima, 2017
Reference 32
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Observation 18802adb-c82a-4b08-ae95-f63ad47592bc · outbound
Towards Unraveling and Improving Generalization in World Models Roberts, and Sho Yaida
Reference 33
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Observation 17cd124a-4e36-41e0-9cf2-ddb00a362f5d · outbound
Towards Unraveling and Improving Generalization in World Models Combining pessimism with optimism for robust and efficient model-based deep reinforcement learning
Reference 34
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Observation dc89169c-dd0c-4e93-8b58-052b390e8ad5 · outbound
Towards Unraveling and Improving Generalization in World Models Exploring the training robustness of distributional reinforcement learning against noisy state observations
Reference 35
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Observation 144f03c2-a78a-4c93-ad68-cfb974167a3d · outbound
Towards Unraveling and Improving Generalization in World Models Unresolved cited work
Reference 36
Source-reported events for the cited work
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Observation 66f7fea0-fd0a-47fa-b02c-89b6cfc65a18 · outbound
Towards Unraveling and Improving Generalization in World Models Lee.Introduction to Riemannian Manifolds
Reference 37
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Observation 51c6ac42-c085-422b-a324-30ef1d544f07 · outbound
Towards Unraveling and Improving Generalization in World Models Textbooks in Mathematics
Reference 38
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Observation b1d2ecbd-d58e-48ad-809c-4d266fac05ab · outbound
Towards Unraveling and Improving Generalization in World Models Approximationwithcnnsinsobolev space: with applications to classification
Reference 39
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Observation 1cd54447-ab80-4ead-b098-991eec23f395 · outbound
Towards Unraveling and Improving Generalization in World Models On a partial differential equation involving the jacobian determinant
Reference 40
Source-reported events for the cited work
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Observation 7ae8b747-ad85-4b54-9e19-73fb598fd22c · outbound
Towards Unraveling and Improving Generalization in World Models Advancedcalculus(revisededition)
Reference 41
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Observation bfa35156-d975-42c5-83f7-2d5901aae5c8 · outbound
Towards Unraveling and Improving Generalization in World Models Differential calculus on normed spaces
Reference 42
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Observation 97c5968a-ea96-4ea0-930a-be960a11ea99 · outbound
Towards Unraveling and Improving Generalization in World Models Unresolved cited work
Reference 43
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Observation 8ade6c9c-c522-41ec-a852-bbf838e5bb3d · outbound
Towards Unraveling and Improving Generalization in World Models Unresolved cited work
Reference 44
Source-reported events for the cited work
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Observation 8452b619-8ad8-46fd-ac5b-c8a1e49694df · inbound
Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models Towards Unraveling and Improving Generalization in World Models
Reference 5
Source-reported events for the cited work
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Observation b825f57f-2944-41fe-b5c7-c6190b52ab6f · inbound
Certified World Models: Predictability Across Configuration, Horizon, and Resolution Towards Unraveling and Improving Generalization in World Models
Reference 1
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Observation 60ca7469-3479-4a62-b8f1-ada4711eed8d · inbound
Certified World Models: Predictability Across Configuration, Horizon, and Resolution Towards Unraveling and Improving Generalization in World Models
Reference 1
Source-reported events for the cited work
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