Paper Citation Record · LEDGER

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability

As of 5 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2510.03494.

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

pith.paper-citation-record.v1
2510.03494 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:37:48.385697Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

18 of 18 outbound references displayed

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unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 851be0ef-d974-4bbf-abc2-9b2e0931a8ac · outbound

This paper cites Learning theory from first principles.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Learning theory from first principles

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.505697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6930e05b-caa4-4e09-abdd-419b03b77900 · outbound

This paper cites Provably efficient exploration in policy optimization.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Provably efficient exploration in policy optimization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.544687Z

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Observation cbb3904c-6608-4d62-a8d1-ea626d1bdb0c · outbound

This paper cites Information-theoretic considerations in batch reinforcement learning.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Information-theoretic considerations in batch reinforcement learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.591936Z

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Observation 47090f8a-d141-4495-95f3-40951e0db31b · outbound

This paper cites Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.612684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36eca9eb-7f0b-4190-86dd-dab045312fec · outbound

This paper cites Probability inequalities for sums of bounded random variables.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Probability inequalities for sums of bounded random variables

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.658083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2075fb25-b8e9-4e80-b20f-abd240864aca · outbound

This paper cites Random design analysis of ridge regression.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Random design analysis of ridge regression

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.702880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49916fad-ed64-4902-8810-cd297c9ea285 · outbound

This paper cites Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data.

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.745008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 565e0fc1-2104-4e50-8ede-a1781cd62515 · outbound

This paper cites Offline reinforcement learning in large state spaces: Algorithms and guarantees.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Offline reinforcement learning in large state spaces: Algorithms and guarantees

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.788708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f57979a-9ecb-4f3a-87e4-68a6747ccf42 · outbound

This paper cites Provably efficient reinforcement learning with linear function approximation.

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.833062Z

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Unavailable: canonical work link unavailable.

Observation 18238f8f-0713-410c-9592-c9032ac99a42 · outbound

This paper cites Batch policy learning under constraints.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Batch policy learning under constraints

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.906821Z

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Observation 96ece97d-2dd6-4469-9d6f-de5a07d6b671 · outbound

This paper cites Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:47.941595Z

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Observation 3db25f7a-4f60-42d8-a3c1-9b52724f9e93 · outbound

This paper cites Finite-time bounds for fitted value iteration.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Finite-time bounds for fitted value iteration

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.007752Z

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Observation fd5f4d3b-e3bf-45de-a3ad-2fc950e22232 · outbound

This paper cites Markov decision processes: discrete stochastic dynamic programming.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Markov decision processes: discrete stochastic dynamic programming

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.113390Z

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Unavailable: canonical work link unavailable.

Observation 2cd1b858-0f0a-40de-ab6c-d0b1bc2bb3eb · outbound

This paper cites Trajectory data suffices for statistically efficient learning in offline rl with linear qpi-realizability and concentrability.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Trajectory data suffices for statistically efficient learning in offline rl with linear qpi-realizability and concentrability

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.192979Z

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Observation 492e7b46-22a4-4905-a156-40eac738b4c2 · outbound

This paper cites Minimum-volume ellipsoids: Theory and algorithms.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Minimum-volume ellipsoids: Theory and algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.256135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c93dcc-69ed-427b-9172-539d2db59dca · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability High-dimensional probability: An introduction with applications in data science, volume 47

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.289220Z

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Observation ad74ca0a-a1c0-4f24-b752-a3918b30bff1 · outbound

This paper cites Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.336588Z

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Unavailable: canonical work link unavailable.

Observation 5c4022cb-3c3a-4401-a892-d7974d5cb265 · outbound

This paper cites Learning near optimal policies with low inherent bellman error.

Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability Learning near optimal policies with low inherent bellman error

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:37:48.385697Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.