Paper Citation Record · LEDGER

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.21383.

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

pith.paper-citation-record.v1
2504.21383 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:25.940706Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

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

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 5a3a6c76-72b9-4009-8a55-c388e08e0e0e · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 1

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Observation 2974ecc0-be56-4bce-9e23-5f6b8cb2061f · outbound

This paper cites Breunig, Hans-Peter Kriegel, and Jörg Sander.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Breunig, Hans-Peter Kriegel, and Jörg Sander

Reference 2

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.846285Z

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Observation c050ec12-e7c3-4033-be82-ddd8e8a04d77 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.831349Z

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Observation 382410ec-a162-41e7-a0d2-4a253d00623a · outbound

This paper cites Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:25.739583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a16e26-328c-4c53-816c-d9384ecac9b9 · outbound

This paper cites OpenAI Gym.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning OpenAI Gym

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:25.744394Z

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Observation 8fe02d9d-6234-465d-ba27-bd124fbb7b26 · outbound

This paper cites Hasegawa- Johnson, and Thomas S.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Hasegawa- Johnson, and Thomas S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:26.816701Z

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Observation 31d475d8-7341-4314-a286-4ba2143043e0 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.802779Z

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Observation 79e50c62-83b6-4393-a778-5726bcaaadfc · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.788630Z

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Observation f2c42b87-ed47-4a52-a24d-082fe1316194 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:25.764284Z

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.763523Z

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 12

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Observation 8ec487a6-c313-49ed-b8dc-1012a1d5e0d5 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.732349Z

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.717608Z

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Observation af49df21-5a83-47e8-8e05-54eb16dd9a2f · outbound

This paper cites Off-Policy Deep Reinforcement Learning without Exploration.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Off-Policy Deep Reinforcement Learning without Exploration

Reference 15

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 16

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Observation 625de808-01ef-447a-b192-163f9825d1eb · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.688061Z

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Observation 4a115e6e-c1bd-4d87-9ee5-b2daf4af6a40 · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Domain-Adversarial Training of Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:25.807503Z

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 19

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Observation 57cac8fc-e6c4-4786-ad4a-9fe11c05494e · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Adam: A Method for Stochastic Optimization

Reference 20

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Observation 7608cf5e-4e50-4958-89e8-e5235a9041b0 · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Offline Reinforcement Learning with Implicit Q-Learning

Reference 21

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Observation 732f2f5c-6081-4abb-bfc5-548560954d26 · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization

Reference 22

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 23

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Observation fae3c151-9e85-4480-bc46-cbc238605f38 · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Conservative Q-Learning for Offline Reinforcement Learning

Reference 24

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Riedmiller

Reference 25

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 26

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 27

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Observation 5c7f6d19-2fb4-4adf-8258-25ca17b012fc · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 28

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 29

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Observation b5ece7a5-bb0c-4ca9-a050-38cd29915130 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 30

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Robins and Miguel A

Reference 31

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Observation 48db4625-c752-413e-8fd8-548ede8f4d51 · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Wu, and Steve J

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:26.562181Z

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Observation d1a16981-8b7f-42bd-8762-e6cf4c69a984 · outbound

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Reliable Decision Support using Counterfactual Models

Reference 33

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 34

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This paper cites Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions

Reference 35

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.534322Z

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Observation 337a5414-45da-42a9-bd9d-14233caf8df5 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 37

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 38

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This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 39

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.499437Z

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Observation 5329a503-b537-40a5-baec-40af3d07eb19 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.482951Z

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:12:26.467747Z

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This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 43

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Observation 82069a97-0baa-4215-8b97-f035c24ae781 · outbound

This paper cites an unresolved cited work.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Unresolved cited work

Reference 44

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FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Reference 2019

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Observation 0a084f72-fe8d-4bf9-9636-5f99c36ff400 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 2021

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Pith citing papers

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