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Paper Citation Record · LEDGER

rQdia: Regularizing Q-Value Distributions With Image Augmentation

As of 12 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.21367.

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

pith.paper-citation-record.v1
2506.21367 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:30:08.787185Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5c2ff23-1057-4d5e-b4be-02f746836453 · outbound

This paper cites Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

Reference 4

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verified exact
local_arxiv, observed 2026-08-06T22:30:08.978756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c8b0ee3c-445b-4b59-8e9a-615513f3f7b7 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Soft Actor-Critic Algorithms and Applications

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:07.881905Z digest=sha256:636edfd1e8e9b04ec89b13a8a5197a4f6faa7a8cf693676ce4261566e2c41d06

Observation f6c4e426-7a41-4bb5-9224-a03417459b93 · outbound

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

rQdia: Regularizing Q-Value Distributions With Image Augmentation Dream to Control: Learning Behaviors by Latent Imagination

Reference 6

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Unavailable: canonical work link unavailable.

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Observation c13a3897-0a53-46f0-ac0b-9b058b732865 · outbound

This paper cites Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 7

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no resolver link, observed 2026-08-06T22:30:07.977037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:07.977037Z digest=sha256:872a54e75aa3c47535b51912abe09e8cd8d56cc25a9a958a89917e2cdf8bfc0b

Observation 17c36e3a-124a-48aa-b3fb-e7f9e207e1ae · outbound

This paper cites Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.033451Z digest=sha256:55c0ee0f6a7efb27dd839a1c53ab6e8f9ed9be318c641fc76c2eecda5e05034c

Observation 4e94b1d1-de6c-483e-96ce-2734cdd769c1 · outbound

This paper cites Automatic Data Augmentation for Generalization in Deep Reinforcement Learning.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.286297Z digest=sha256:3d14a32fe55008aefb697f32fbe9219c29524228cb36cb090fffe0226eda9133

Observation b32ed7c1-0d06-49cd-96fe-493d6445fbc0 · outbound

This paper cites Prioritized Experience Replay.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Prioritized Experience Replay

Reference 12

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source=pdf_text observed=2026-08-06T22:30:08.364969Z digest=sha256:f0331973fefc49dc0d663ce9b9ea960ad94d8ff53d1a8c00d67e00e204a78c39

Observation 93c144cf-2dc6-48fa-8e0a-d91d7ec9ec76 · outbound

This paper cites Data-Efficient Reinforcement Learning with Self-Predictive Representations.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Data-Efficient Reinforcement Learning with Self-Predictive Representations

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.476025Z digest=sha256:7cbbd83a5859534fd129a15e91c6dc366113f16d0f75d963d4ce94df06a20b80

Observation 8ac6adbc-64cf-4d0d-b7a9-208927350633 · outbound

This paper cites CURL: Contrastive Unsupervised Representations for Reinforcement Learning.

rQdia: Regularizing Q-Value Distributions With Image Augmentation CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.621610Z digest=sha256:5cbb7c651bd9a889a4b6958e92f7cad23d5a778644a170510ee81a9a27e305dd

Observation 55df81b4-a162-4a8f-a32b-ab80bebeb547 · outbound

This paper cites Do- main randomization for transferring deep neural networks from simulation to the real world.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Do- main randomization for transferring deep neural networks from simulation to the real world

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:30:09.278565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ba7e379e-5e66-4f58-9cad-836655bccdf6 · outbound

This paper cites Dueling network architectures for deep reinforcement learning.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Dueling network architectures for deep reinforcement learning

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 40c11495-7a56-418d-aec1-75ba470bb48d · outbound

This paper cites Code for continuous control and discrete Atari will be released on GitHub upon notification of decision and is provided separately together with the supplementary material.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Code for continuous control and discrete Atari will be released on GitHub upon notification of decision and is provided separately together with the supplementary material

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:30:09.073739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T22:30:08.787185Z digest=sha256:d24c0f8ebe7cdb36c1d68c23fea760a6fcc805a6d0465d3e0b849d14f223e929

Observation 8f7dcaf2-9d3d-4753-b731-ab51291877fa · outbound

This paper cites Improving Sample Efficiency in Model-Free Reinforcement Learning from Images.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Reference 1991

Resolution
unresolved
no resolver link, observed 2026-08-06T22:30:08.754034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:08.754034Z digest=sha256:96be520f6f5a9b323b9f77f5c52eec66955d60ccc19dda209bf4292d50df7fdf

Observation fe8444bd-b67f-4325-85f5-477cedc76b01 · outbound

This paper cites Robust Visual Domain Randomization for Reinforcement Learning.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Robust Visual Domain Randomization for Reinforcement Learning

Reference 2003

Resolution
unresolved
no resolver link, observed 2026-08-06T22:30:08.526952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b934294f-33b4-4de7-928a-2ea0279e4e1c · outbound

This paper cites High-Performance Neural Networks for Visual Object Classification.

rQdia: Regularizing Q-Value Distributions With Image Augmentation High-Performance Neural Networks for Visual Object Classification

Reference 2012

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:07.777894Z digest=sha256:eeab8c9f19f3d75db3d4967c8f715b26e123ed1175f6a7a9399a26f284de7057

Observation 69566d21-3b66-42e4-b757-8d852cfba287 · outbound

This paper cites DeepMind Control Suite.

rQdia: Regularizing Q-Value Distributions With Image Augmentation DeepMind Control Suite

Reference 2014

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Unavailable: canonical work link unavailable.

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Observation d85823e7-6441-4987-97c7-f16b87857138 · outbound

This paper cites When to use parametric models in reinforcement learning?.

rQdia: Regularizing Q-Value Distributions With Image Augmentation When to use parametric models in reinforcement learning?

Reference 2016

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Unavailable: canonical work link unavailable.

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Observation 3fb7184f-5586-441a-95ad-94a36d5ceed8 · outbound

This paper cites Parameter Space Noise for Exploration.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Parameter Space Noise for Exploration

Reference 2017

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Unavailable: canonical work link unavailable.

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Observation 245849ba-a992-4097-9002-1e9c7cda04d0 · outbound

This paper cites Learning actionable rep- resentations from visual observations.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Learning actionable rep- resentations from visual observations

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:30:09.414984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T22:30:07.807777Z digest=sha256:9de0b5d031ff74b9fa20f9999d4305a8319de6d6c43eb390b023146e1e44ad70

Observation a6b1b7db-e1bc-4075-8ada-c3cc0fbda0de · outbound

This paper cites Multi-column deep neural networks for image classification.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Multi-column deep neural networks for image classification

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-06T22:30:09.630604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T22:30:07.735878Z digest=sha256:b9572004dfc71cfd046bcbd421eb6b6fa9d10ebfced6175496d83724942d7a66

Observation b0f2bf65-fcd1-4d50-9aef-2d4f5f8905e9 · outbound

This paper cites Bridging the Gap Between Value and Policy Based Reinforcement Learning.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Bridging the Gap Between Value and Policy Based Reinforcement Learning

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.