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Paper Citation Record · LEDGER

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.05989.

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

pith.paper-citation-record.v1
2608.05989 v1

Coverage vector

measured 46 of 46 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T19:50:55.322592Z

measured 46 of 46 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 70f8bbf5-c083-499b-b138-7c55ee3bd0b0 · outbound

This paper cites The Tenth International Conference on Learning Representations,.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control The Tenth International Conference on Learning Representations,

Reference 1

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This paper cites 9th International Conference on Learning Representations,.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control 9th International Conference on Learning Representations,

Reference 2

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This paper cites The Thirteenth International Conference on Learning Representations,.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control The Thirteenth International Conference on Learning Representations,

Reference 3

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control 2026 , eprint=

Reference 4

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Observation f2aa81e2-72f6-4033-a656-fd0b2c1475bf · outbound

This paper cites Devon Hjelm and Aaron C.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Devon Hjelm and Aaron C

Reference 5

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Unresolved cited work

Reference 6

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Observation 3099247d-7847-415c-9bac-1e74d0e232df · outbound

This paper cites Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning

Reference 7

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Observation 2e8097b2-c833-40da-88d5-b4d0b9abc10f · outbound

This paper cites Bootstrap Your Own Latent -.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Bootstrap Your Own Latent -

Reference 8

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Observation 742550d0-9639-456b-a81a-e0d3a570360a · outbound

This paper cites Bellemare , editor =.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Bellemare , editor =

Reference 9

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Nature , pages=

Reference 10

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This paper cites The Twelfth International Conference on Learning Representations,.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control The Twelfth International Conference on Learning Representations,

Reference 11

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control 1998 , publisher=

Reference 12

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This paper cites DeepMind Control Suite.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control DeepMind Control Suite

Reference 13

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This paper cites Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning , booktitle =.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning , booktitle =

Reference 14

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control MICo: Improved representations via sampling-based state similarity for Markov decision processes , booktitle =

Reference 15

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control The Twelfth International Conference on Learning Representations,

Reference 16

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This paper cites Why do We Need Large Batchsizes in Contrastive Learning?.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Why do We Need Large Batchsizes in Contrastive Learning?

Reference 17

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Contrastive Learning as Goal-Conditioned Reinforcement Learning , booktitle =

Reference 18

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control The Thirteenth International Conference on Learning Representations,

Reference 19

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning , booktitle =

Reference 20

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning , journal =

Reference 21

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Jha and Toshisada Mariyama and Daniel Nikovski , title =

Reference 23

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Lillicrap and Jimmy Ba and Mohammad Norouzi , title =

Reference 24

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Lillicrap and Mohammad Norouzi and Jimmy Ba , title =

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Addressing Function Approximation Error in Actor-Critic Methods , booktitle =

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control PyTorch: An Imperative Style, High-Performance Deep Learning Library , booktitle =

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Bellemare and Yavar Naddaf and Joel Veness and Michael Bowling , title =

Reference 30

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 31

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Riedmiller , title =

Reference 33

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Lillicrap and David Silver , title =

Reference 34

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Dueling Network Architectures for Deep Reinforcement Learning , booktitle =

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Temporal Difference Learning for Model Predictive Control , booktitle =

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Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Playing Atari with Deep Reinforcement Learning

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source=arxiv_source observed=2026-08-07T19:50:55.290014Z digest=sha256:cb3537ce33c7a2e76f0b50428261433ce3744e6b0b24eaa6407a94f4ebdb1610

Observation aaaaff90-c96b-4c44-80b3-bdce4bb00364 · outbound

This paper cites An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay , booktitle =.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay , booktitle =

Reference 39

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no resolver link, observed 2026-08-07T19:50:55.294231Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:50:55.294231Z digest=sha256:62e7f27a20f1a7f3390e06bf1e9f7ff794046b7056cd96a97e414bbf0a5f5973

Observation 0e38009e-4199-4e00-b127-93432429b884 · outbound

This paper cites 7th International Conference on Learning Representations,.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control 7th International Conference on Learning Representations,

Reference 40

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no resolver link, observed 2026-08-07T19:50:55.298383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:50:55.298383Z digest=sha256:25381c90e9d3fc1e1c61e3f8773d6db57662a936153d60a932b065d71d9f8731

Observation c75dcacf-ab62-478b-b56c-298d2110f20c · outbound

This paper cites Rusu and Joel Veness and Marc G.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Rusu and Joel Veness and Marc G

Reference 41

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unresolved
no resolver link, observed 2026-08-07T19:50:55.302389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:50:55.302389Z digest=sha256:09284b22616d88ae04a0304bad54a0d2ab018a1091af2e6b76234ad8bc290056

Observation 6b0fe33d-156b-4fc2-aac7-c2da019b261e · outbound

This paper cites Rainbow: Combining Improvements in Deep Reinforcement Learning , booktitle =.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Rainbow: Combining Improvements in Deep Reinforcement Learning , booktitle =

Reference 42

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unresolved
no resolver link, observed 2026-08-07T19:50:55.306714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:50:55.306714Z digest=sha256:bfab3ecbf1541c9297e5cd775b8554c5a536b2aff02e13b695ce774430ba09cb

Observation e2125a36-ed36-42ae-8eb3-82a80433d8e9 · outbound

This paper cites Bridging State and History Representations: Understanding Self-Predictive.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Bridging State and History Representations: Understanding Self-Predictive

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T19:50:55.310725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:50:55.310725Z digest=sha256:859e5e2eb5ab7c347a514d621f9b472ec9d009eb2aa4e7d6e48f6bc4a784702b

Observation a7e79f2c-9482-446a-9e76-e0b77d3e95c7 · outbound

This paper cites When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning , journal =.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning , journal =

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T19:50:55.786798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:50:55.314650Z digest=sha256:089b1f8aae3377e35f5a4dbafa664a46dcd0addc0341d2236d2e2744a0cb58e1

Observation b2f98dab-07fc-4322-8d22-b1af9b9e4d3e · outbound

This paper cites an unresolved cited work.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control Unresolved cited work

Reference 45

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unresolved
raw_fallback, observed 2026-08-07T19:50:55.768511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T19:50:55.318512Z digest=sha256:a2ea044a203fd5e31af4273553ab4b666032313ffda896f0f26630cc45ef117b

Observation 4fa723eb-1088-43f5-95c8-91dcf55d2267 · outbound

This paper cites 2026 , note =.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control 2026 , note =

Reference 46

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no resolver link, observed 2026-08-07T19:50:55.322592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:50:55.322592Z digest=sha256:281deb903fbd415a84bbec97a6f7973fed8edb0ecc2e12e2ae92d18052013709

Pith citing papers

No inbound Pith citation observations are available.