Paper Citation Record · LEDGER

Exploration by Random Distribution Distillation

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2505.11044.

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

pith.paper-citation-record.v1
2505.11044 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:12.221295Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:07:59.951972Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:08:00.455034Z

Reference resolution

45 of 45 outbound references displayed

verified exact1
verified fuzzy29
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eb65fc1-9d28-4857-9db5-a9974d1e5a56 · outbound

This paper cites Deep exploration via bootstrapped dqn,.

Exploration by Random Distribution Distillation Deep exploration via bootstrapped dqn,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.994412Z

Source-reported events for the cited work

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Observation f016da28-af73-4286-b8e6-a27bb6062496 · outbound

This paper cites An analysis of model-based interval estimation for markov decision processes,.

Exploration by Random Distribution Distillation An analysis of model-based interval estimation for markov decision processes,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:11.983113Z

Source-reported events for the cited work

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Observation a61e4d41-e894-48fd-b0ab-a672e6ba11ad · outbound

This paper cites Minimax regret bounds for reinforcement learning,.

Exploration by Random Distribution Distillation Minimax regret bounds for reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.966612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9725abb0-e729-4bfd-8f64-7eeb29a7b53b · outbound

This paper cites The Alberta Plan for AI Research.

Exploration by Random Distribution Distillation The Alberta Plan for AI Research

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:11.995579Z

Source-reported events for the cited work

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Observation 1d3b377c-e0b8-4b17-9c1a-0d476d9926ce · outbound

This paper cites Unifying count-based exploration and intrinsic motivation,.

Exploration by Random Distribution Distillation Unifying count-based exploration and intrinsic motivation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.950687Z

Source-reported events for the cited work

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Observation 817e8a24-ba9f-49fe-8186-7c05d023cdf9 · outbound

This paper cites Flipping coins to estimate pseudocounts for exploration in reinforcement learning,.

Exploration by Random Distribution Distillation Flipping coins to estimate pseudocounts for exploration in reinforcement learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.932671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 516956b7-2f51-493f-8ad2-2d9ce29e0446 · outbound

This paper cites Count-based exploration with neural density models,.

Exploration by Random Distribution Distillation Count-based exploration with neural density models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.912587Z

Source-reported events for the cited work

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Observation 8eb97b88-0ec9-4cf7-8bfb-4439e6cb9798 · outbound

This paper cites Count-based exploration with the successor representation,.

Exploration by Random Distribution Distillation Count-based exploration with the successor representation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.895576Z

Source-reported events for the cited work

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Observation 8ca4efab-9682-45c3-98d6-2f9852e4cf09 · outbound

This paper cites Curiosity-driven exploration by self- supervised prediction,.

Exploration by Random Distribution Distillation Curiosity-driven exploration by self- supervised prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.875598Z

Source-reported events for the cited work

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Observation a6877a50-f0f6-43a4-9779-cc36f7fa25b5 · outbound

This paper cites Exploration by Random Network Distillation.

Exploration by Random Distribution Distillation Exploration by Random Network Distillation

Reference 10

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Source-reported events for the cited work

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Observation 0aaf07ee-afad-4a18-bc13-95d8f3f07399 · outbound

This paper cites Is q-learning provably efficient?.

Exploration by Random Distribution Distillation Is q-learning provably efficient?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.856842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8115b221-7f28-4551-9109-4bb4ae93f11b · outbound

This paper cites Exploration and anti-exploration with distributional random network distillation,.

Exploration by Random Distribution Distillation Exploration and anti-exploration with distributional random network distillation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.838173Z

Source-reported events for the cited work

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Observation 6615c679-dfe5-454b-a919-25d1a598fbb3 · outbound

This paper cites Q-learning,.

Exploration by Random Distribution Distillation Q-learning,

Reference 13

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Source-reported events for the cited work

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Observation fcc62367-2383-4049-8f92-ef7e0c2e6340 · outbound

This paper cites Human-level control through deep rein- forcement learning,.

Exploration by Random Distribution Distillation Human-level control through deep rein- forcement learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.810716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94a3152a-ea97-4944-85ae-e239488fc964 · outbound

This paper cites Rainbow: Combining improvements in deep reinforcement learning,.

Exploration by Random Distribution Distillation Rainbow: Combining improvements in deep reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.793387Z

Source-reported events for the cited work

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Observation c4edd3f9-b9a4-4f3f-b4b9-0ac936755f1d · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Exploration by Random Distribution Distillation Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.775280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd5aa7e3-bdec-4dca-b5e0-599adafbf90c · outbound

This paper cites Using confidence bounds for exploitation-exploration trade-offs,.

Exploration by Random Distribution Distillation Using confidence bounds for exploitation-exploration trade-offs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.759499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71522f23-58ac-4361-9bb3-4d77e6c40594 · outbound

This paper cites Improving generalization for temporal difference learning: The successor representa- tion,.

Exploration by Random Distribution Distillation Improving generalization for temporal difference learning: The successor representa- tion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.743270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97705774-3838-4cb9-b896-fc0e311ec1b2 · outbound

This paper cites On Bonus-Based Exploration Methods in the Arcade Learning Environment.

Exploration by Random Distribution Distillation On Bonus-Based Exploration Methods in the Arcade Learning Environment

Reference 19

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Source-reported events for the cited work

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Observation 5734298d-bb8e-4b35-b5f2-1a368f586323 · outbound

This paper cites # exploration: A study of count-based exploration for deep reinforcement learning,.

Exploration by Random Distribution Distillation # exploration: A study of count-based exploration for deep reinforcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.726622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59e9d073-7d69-40f3-a84d-66c4064b2833 · outbound

This paper cites Optimistic exploration even with apessimistic initialisation.

Exploration by Random Distribution Distillation Optimistic exploration even with apessimistic initialisation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.710904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3eac3ba-11d2-43d6-b0c5-8b6136567d87 · outbound

This paper cites First return, then explore,.

Exploration by Random Distribution Distillation First return, then explore,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:12.084814Z

Source-reported events for the cited work

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Observation 7b9fd3f3-e076-46f5-9c9b-41d5b6359191 · outbound

This paper cites Maximum entropy gain exploration for long horizon multi-goal reinforcement learning,.

Exploration by Random Distribution Distillation Maximum entropy gain exploration for long horizon multi-goal reinforcement learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.684813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cf857af-89e4-4ca2-a879-eab0f299244d · outbound

This paper cites Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models.

Exploration by Random Distribution Distillation Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

Reference 24

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Source-reported events for the cited work

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Observation c604e84f-e73f-4779-abe6-859ab606b975 · outbound

This paper cites Vime: Variational information maximizing exploration,.

Exploration by Random Distribution Distillation Vime: Variational information maximizing exploration,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.667413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3bd1767d-20b9-46ab-8076-546fff92419d · outbound

This paper cites Latent world models for intrinsically motivated exploration,.

Exploration by Random Distribution Distillation Latent world models for intrinsically motivated exploration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.647994Z

Source-reported events for the cited work

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Observation c153d218-9473-46f1-8e88-c661bd118573 · outbound

This paper cites Byol-explore: Exploration by bootstrapped prediction,.

Exploration by Random Distribution Distillation Byol-explore: Exploration by bootstrapped prediction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.629848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6c8d62c-a2e3-4536-b407-aec3c56af37c · outbound

This paper cites Near-optimal reinforcement learning in polynomial time,.

Exploration by Random Distribution Distillation Near-optimal reinforcement learning in polynomial time,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.613760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34c19951-1d20-401e-b832-a17c25c8eddd · outbound

This paper cites R-max-a general polynomial time algorithm for near- optimal reinforcement learning,.

Exploration by Random Distribution Distillation R-max-a general polynomial time algorithm for near- optimal reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.597184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b4eccc8-4442-4767-884e-e766d5c53d5a · outbound

This paper cites Exploration in metric state spaces,.

Exploration by Random Distribution Distillation Exploration in metric state spaces,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.582226Z

Source-reported events for the cited work

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Observation 2323462e-f6f0-42c0-ada8-2e5f4c6b7953 · outbound

This paper cites an unresolved cited work.

Exploration by Random Distribution Distillation Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation 1296819d-3453-4251-9daa-f33d920beaa8 · outbound

This paper cites Large-Scale Study of Curiosity-Driven Learning.

Exploration by Random Distribution Distillation Large-Scale Study of Curiosity-Driven Learning

Reference 32

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Observation 19455772-98cc-4e3b-90ad-c96112cfe9d9 · outbound

This paper cites Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning.

Exploration by Random Distribution Distillation Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning

Reference 33

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Source-reported events for the cited work

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Observation 90cb151d-33f2-4fd5-822e-d814e87262a9 · outbound

This paper cites Reward shaping for reinforcement learning with an assistant reward agent,.

Exploration by Random Distribution Distillation Reward shaping for reinforcement learning with an assistant reward agent,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.555544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4a967f6-3bdb-4d7d-88ca-0a9ac1b6e017 · outbound

This paper cites Uncertainty-Aware Reward-Free Exploration with General Function Approximation.

Exploration by Random Distribution Distillation Uncertainty-Aware Reward-Free Exploration with General Function Approximation

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:10:12.345576Z

Source-reported events for the cited work

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Observation a784eea4-8f98-41fe-a5fa-92d32ed2579f · outbound

This paper cites Learning to shape rewards using a game of two partners,.

Exploration by Random Distribution Distillation Learning to shape rewards using a game of two partners,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.539899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 222d0b3e-5274-45e9-952d-26cd9b8ae3a4 · outbound

This paper cites Exploration-guided reward shaping for reinforce- ment learning under sparse rewards,.

Exploration by Random Distribution Distillation Exploration-guided reward shaping for reinforce- ment learning under sparse rewards,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.523289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad9875b9-beae-4235-9c03-555f8c462098 · outbound

This paper cites Addressing function approximation error in actor-critic methods,.

Exploration by Random Distribution Distillation Addressing function approximation error in actor-critic methods,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.508233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b60a254a-37d9-46c1-8905-445957cd6893 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Exploration by Random Distribution Distillation Proximal Policy Optimization Algorithms

Reference 39

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Source-reported events for the cited work

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Observation aa8a5bb5-0f63-41ca-a63e-6709d318da05 · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents,.

Exploration by Random Distribution Distillation The arcade learning environment: An evaluation platform for general agents,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.493051Z

Source-reported events for the cited work

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Observation 19200da9-cb16-4b58-9a2d-f90888c5e555 · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Exploration by Random Distribution Distillation Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:12.192143Z

Source-reported events for the cited work

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Observation a64d6c4b-226e-48cf-8329-d9d7ad39242c · outbound

This paper cites Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

Exploration by Random Distribution Distillation Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:12.197928Z

Source-reported events for the cited work

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Observation a8c2c5bf-4bf1-432e-a928-5136683d3d7f · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Exploration by Random Distribution Distillation Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:12.204381Z

Source-reported events for the cited work

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Observation b84cd675-cd39-47d1-84e9-e0182dc42bc3 · outbound

This paper cites Double check your state before trusting it: Confidence-aware bidirectional offline model-based imagination,.

Exploration by Random Distribution Distillation Double check your state before trusting it: Confidence-aware bidirectional offline model-based imagination,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:12.477164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9fd9f4e2-1193-4ffe-8baf-8f0841a77004 · outbound

This paper cites Optimistic initialization for exploration in continuous control,.

Exploration by Random Distribution Distillation Optimistic initialization for exploration in continuous control,

Reference 45

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T21:10:12.461580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation b2aa546e-f02f-4124-824a-6c104f9bbef4 · inbound

Exploration by Random Reward Perturbation cites this paper.

Exploration by Random Reward Perturbation Exploration by Random Distribution Distillation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:08:00.459145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.