Paper Citation Record · LEDGER

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.01380.

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

pith.paper-citation-record.v1
2310.01380 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:16.269952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:11:11.644581Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b77f5264-9dea-4525-966d-53eb0a2c6bb8 · inbound

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures cites this paper.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.269952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3accbc0-6301-47c5-81f8-3fe059f9a6db · inbound

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning cites this paper.

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:11:11.647585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9dfbae91-7af4-43c0-8932-63adf60a44f3 · inbound

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting cites this paper.

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:08:19.138547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbecc30b-4d22-4e5a-a4ac-ef87e0a45206 · inbound

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability cites this paper.

Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:30.513401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.