Paper Citation Record · LEDGER

Quantile-Optimal Policy Learning under Unmeasured Confounding

As of 20 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2506.07140.

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

pith.paper-citation-record.v1
2506.07140 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

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measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:02:48.665612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:06:15.410216Z

Reference resolution

69 of 69 outbound references displayed

verified exact4
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External citation measurements

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Outbound references

Observation e43ef8d8-78c9-4505-aa12-3b365f109743 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Quantile-Optimal Policy Learning under Unmeasured Confounding , " * write output.state after.block = add.period write newline

Reference 1

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This paper cites write newline.

Quantile-Optimal Policy Learning under Unmeasured Confounding write newline

Reference 2

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This paper cites , Angrist, J.

Quantile-Optimal Policy Learning under Unmeasured Confounding , Angrist, J

Reference 3

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Chen, X

Reference 4

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Chen, X

Reference 5

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Quantile-Optimal Policy Learning under Unmeasured Confounding Unresolved cited work

Reference 6

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This paper cites , Cheng, J.

Quantile-Optimal Policy Learning under Unmeasured Confounding , Cheng, J

Reference 7

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Observation e01cbdfc-7f12-4fc1-af45-611365c03802 · outbound

This paper cites The Importance of Pessimism in Fixed-Dataset Policy Optimization.

Quantile-Optimal Policy Learning under Unmeasured Confounding The Importance of Pessimism in Fixed-Dataset Policy Optimization

Reference 8

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Mannor, S

Reference 9

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Quantile-Optimal Policy Learning under Unmeasured Confounding Unresolved cited work

Reference 10

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This paper cites A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations.

Quantile-Optimal Policy Learning under Unmeasured Confounding A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations

Reference 11

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Observation c9364c13-5c72-44dd-8ab8-81d351f62c1e · outbound

This paper cites , Chernozhukov, V.

Quantile-Optimal Policy Learning under Unmeasured Confounding , Chernozhukov, V

Reference 12

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Linton, O

Reference 13

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Pouzo, D

Reference 14

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Pouzo, D

Reference 15

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Pouzo, D

Reference 16

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Hansen, C

Reference 17

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Hansen, C

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Lewis, G

Reference 20

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Blake, D

Reference 22

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Scaillet, O

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Lewis, G

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Quantile-Optimal Policy Learning under Unmeasured Confounding Unresolved cited work

Reference 27

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Quantile-Optimal Policy Learning under Unmeasured Confounding Sharp Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting

Reference 28

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Yang, Z

Reference 29

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Quantile-Optimal Policy Learning under Unmeasured Confounding Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach

Reference 30

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Rajeswaran, A

Reference 31

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Zhou, A

Reference 32

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Jeon, W

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Quantile-Optimal Policy Learning under Unmeasured Confounding Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Chu, W

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Tchetgen, E

Reference 40

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Ding, L

Reference 41

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Chen, Z

Reference 42

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This paper cites Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes.

Quantile-Optimal Policy Learning under Unmeasured Confounding Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes

Reference 43

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Giguere, S

Reference 44

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Quantile-Optimal Policy Learning under Unmeasured Confounding Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning

Reference 45

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Geng, Z

Reference 46

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Jagannathan, K

Reference 49

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Zhu, B

Reference 51

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Quantile-Optimal Policy Learning under Unmeasured Confounding Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Reference 52

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Quantile-Optimal Policy Learning under Unmeasured Confounding An Introduction to Proximal Causal Learning

Reference 55

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Quantile-Optimal Policy Learning under Unmeasured Confounding Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency

Reference 56

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Quantile-Optimal Policy Learning under Unmeasured Confounding Unresolved cited work

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Wellner, J

Reference 58

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Quantile-Optimal Policy Learning under Unmeasured Confounding Unresolved cited work

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Yang, Z

Reference 61

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Reference 62

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Quantile-Optimal Policy Learning under Unmeasured Confounding Unresolved cited work

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Cheng, C.-A

Reference 65

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Quantile-Optimal Policy Learning under Unmeasured Confounding Fair quantile regression

Reference 66

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Quantile-Optimal Policy Learning under Unmeasured Confounding Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism

Reference 67

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Quantile-Optimal Policy Learning under Unmeasured Confounding , Thomas, G

Reference 68

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Quantile-Optimal Policy Learning under Unmeasured Confounding and Tan, V

Reference 69

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Regularity, Phase Transitions, and Uniform Inference for Proximal Counterfactual Quantile Processes cites this paper.

Regularity, Phase Transitions, and Uniform Inference for Proximal Counterfactual Quantile Processes Quantile-Optimal Policy Learning under Unmeasured Confounding

Reference 1

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