Paper Citation Record · LEDGER

Model-Based Reinforcement Learning for Atari

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:1903.00374.

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

pith.paper-citation-record.v1
1903.00374 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:07:03.380696Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:34:34.510750Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ded7c2ad-8a9e-4384-b541-3832176a5e5e · inbound

Exploring Model-based Planning with Policy Networks cites this paper.

Exploring Model-based Planning with Policy Networks Model-Based Reinforcement Learning for Atari

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T19:51:10.759176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28521612-0680-4415-984a-8af4b3f7660c · inbound

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning cites this paper.

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Model-Based Reinforcement Learning for Atari

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-25T12:35:49.127522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0fad99e-53ff-4f40-84a9-9bcdfe01dde8 · inbound

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model cites this paper.

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model Model-Based Reinforcement Learning for Atari

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:57:02.717722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49db5093-b319-447f-9b2c-c6062ba204f7 · inbound

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

Dream to Control: Learning Behaviors by Latent Imagination Model-Based Reinforcement Learning for Atari

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:16:36.515297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a8e2e95-2e78-42e3-996b-1d19595818d1 · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Model-Based Reinforcement Learning for Atari

Reference 148

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:33:21.638258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b68165c-f73e-453f-bc70-ac2ae0da6083 · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models Model-Based Reinforcement Learning for Atari

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:27:31.960186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc65b19b-dd7f-4386-84ce-7be9410b5c97 · inbound

Mastering Diverse Domains through World Models cites this paper.

Mastering Diverse Domains through World Models Model-Based Reinforcement Learning for Atari

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:08:22.042893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3318124c-3028-42bf-ab43-2d4af26f394a · inbound

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions cites this paper.

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Model-Based Reinforcement Learning for Atari

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:41:53.850364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7c962a4-f5ae-40c3-9ba8-59a1f2eccccc · inbound

World Modeling with Probabilistic Structure Integration cites this paper.

World Modeling with Probabilistic Structure Integration Model-Based Reinforcement Learning for Atari

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T20:07:03.380696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e6e0af5-d3a0-47eb-a7d8-b781195bb902 · inbound

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity cites this paper.

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Model-Based Reinforcement Learning for Atari

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:09.974165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 087d2a4a-b02a-4947-bf29-3e97429a9096 · inbound

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

Advantage-Guided Diffusion for Model-Based Reinforcement Learning Model-Based Reinforcement Learning for Atari

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:00.838258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6fa7a8b1-a2f0-4234-b888-e0c287b4ff0c · inbound

Zero-shot World Models Are Developmentally Efficient Learners cites this paper.

Zero-shot World Models Are Developmentally Efficient Learners Model-Based Reinforcement Learning for Atari

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:16:08.461309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2767e937-c937-46be-9519-2c52c1051214 · inbound

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning cites this paper.

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning Model-Based Reinforcement Learning for Atari

Reference 93

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:16:09.008674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1452495c-ac83-45af-a2ce-8b3b88ee35ce · inbound

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

Latent State Design for World Models under Sufficiency Constraints Model-Based Reinforcement Learning for Atari

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:36:04.473693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 595c2a22-58bd-4bcb-b552-47995abcdf03 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation Model-Based Reinforcement Learning for Atari

Reference 221

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:21:38.087963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d57f9fe2-dad6-4fab-8818-c452bffd55b1 · inbound

Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters cites this paper.

Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters Model-Based Reinforcement Learning for Atari

Reference 257

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:41:12.351903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 68ba9b72-db44-4b2c-9968-2fb6b95b2b8a · 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 Model-Based Reinforcement Learning for Atari

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:51.875601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6977a73-c022-46d6-bd81-57cafa070c61 · inbound

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

Flow Matching in Feature Space for Stochastic World Modeling Model-Based Reinforcement Learning for Atari

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T09:34:34.512605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6473235-7b5c-4b80-adf7-5a0e5ab15f42 · inbound

Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data cites this paper.

Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data Model-Based Reinforcement Learning for Atari

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:34:19.387499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 106cb8a9-4eac-46ed-9c1d-f76775e2999d · inbound

Mask-based Predictive Representations for Reinforcement Learning cites this paper.

Mask-based Predictive Representations for Reinforcement Learning Model-Based Reinforcement Learning for Atari

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T21:18:56.362614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa7ef13-39a2-48e6-9246-76f8fcd8da92 · inbound

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

Reinforcement Learning: From Algorithms To Foundation Models Model-Based Reinforcement Learning for Atari

Reference 155

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:12.245424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe921aa0-fafa-459b-b0e1-c55a855ee45e · inbound

HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems cites this paper.

HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Model-Based Reinforcement Learning for Atari

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:12.956077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738462b4-9715-45cb-ac3e-ec33b17988ed · inbound

Relative Value Learning cites this paper.

Relative Value Learning Model-Based Reinforcement Learning for Atari

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-01T08:32:00.437046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c4c851-7f80-4d88-9d86-5eb636633f27 · inbound

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning cites this paper.

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning Model-Based Reinforcement Learning for Atari

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-31T00:47:51.222914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 602f5291-962a-466e-b73a-e7805b8ed410 · 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 Model-Based Reinforcement Learning for Atari

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:34.801549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.