Paper Citation Record · LEDGER

Regret of exploratory policy improvement and $q$-learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2411.01302.

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

pith.paper-citation-record.v1
2411.01302 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:12.088553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.049717Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 16902dd1-f9ca-46cb-999f-a6f9e1d98eef · inbound

Beyond separability: convergence rate of vanishing viscosity approximations to mean field games via FBSDE stability cites this paper.

Beyond separability: convergence rate of vanishing viscosity approximations to mean field games via FBSDE stability Regret of exploratory policy improvement and $q$-learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:12.088553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee90eef-f7da-4936-9625-53dedca82274 · inbound

Upper and lower bounds for local Lipschitz stability of Bayesian posteriors cites this paper.

Upper and lower bounds for local Lipschitz stability of Bayesian posteriors Regret of exploratory policy improvement and $q$-learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:56.214175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fcc4cb7-4208-41ba-83b1-a123ac4ebeb2 · inbound

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems cites this paper.

Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Regret of exploratory policy improvement and $q$-learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:38.321579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa758c4c-9bfa-4c24-a10a-f3f9ce6b2f26 · inbound

Continuous-time reinforcement learning for optimal switching over multiple regimes cites this paper.

Continuous-time reinforcement learning for optimal switching over multiple regimes Regret of exploratory policy improvement and $q$-learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T18:40:33.523529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f992bf67-3ff9-4351-92c9-233dce063556 · inbound

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule cites this paper.

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule Regret of exploratory policy improvement and $q$-learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-08-11T01:19:53.354928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0769ca52-5e5d-4178-af31-555dd1da43d9 · inbound

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach cites this paper.

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach Regret of exploratory policy improvement and $q$-learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T04:22:32.991605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49273f0-8ba8-43eb-bdab-8fa3f4fd8fbc · inbound

Amortized Guidance for Image Inpainting with Pretrained Diffusion Models cites this paper.

Amortized Guidance for Image Inpainting with Pretrained Diffusion Models Regret of exploratory policy improvement and $q$-learning

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-08-11T01:19:53.354928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3f5a2e7-5589-424f-b2e4-a564f8992746 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Regret of exploratory policy improvement and $q$-learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-08-11T01:19:53.354928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74239336-d89e-431c-8d7b-b46b887269a7 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Regret of exploratory policy improvement and $q$-learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T08:25:48.021715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94006f6-03e4-4e2e-963a-39107ecb0fa9 · inbound

A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models cites this paper.

A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models Regret of exploratory policy improvement and $q$-learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T01:57:50.446846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c764ff7-65ef-41ed-ac5a-2d826cecf34a · inbound

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies cites this paper.

Continuous-Time Reinforcement Learning for $N$-Player Stochastic Differential Games with Exploratory Policies Regret of exploratory policy improvement and $q$-learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T11:22:20.704553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.