Paper Citation Record · LEDGER

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2512.14991.

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

pith.paper-citation-record.v1
2512.14991 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:09:10.359051Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 550ef6e3-66f2-41d3-8e80-97fc9fd96268 · outbound

This paper cites an unresolved cited work.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:10.229563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 534c7604-3787-4661-aea2-18cb0f18ed9f · outbound

This paper cites The first inequality holds due to Theorem 5.2.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes The first inequality holds due to Theorem 5.2

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:10.359051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a40d9d-17a0-493b-930d-34b9ec8002ab · outbound

This paper cites Xin Guo, Xinyu Li, and Renyuan Xu.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Xin Guo, Xinyu Li, and Renyuan Xu

Reference 1984

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:08.553489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a5fea8-b366-435d-8913-06dd337ab50c · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 1992

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:09.080273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5628351-9855-4e58-af44-9905726c7cf9 · outbound

This paper cites What Doubling Tricks Can and Can't Do for Multi-Armed Bandits.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes What Doubling Tricks Can and Can't Do for Multi-Armed Bandits

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:08.285940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0abd8816-f6e1-402e-a0a7-aa0ac33c60c1 · outbound

This paper cites an unresolved cited work.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Unresolved cited work

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:09.937985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd807430-6d12-487e-9300-939367494a3d · outbound

This paper cites Reinforcement learning with selective perception and hidden state.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Reinforcement learning with selective perception and hidden state

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:08.830896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d07bf22-97f5-44f2-9a72-f7e9432d3f00 · outbound

This paper cites A tail inequality for quadratic forms of subgaussian random vectors.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes A tail inequality for quadratic forms of subgaussian random vectors

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:08.666097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5b5e0e-0ce1-47d5-9d2a-b3b1ae2a03e9 · outbound

This paper cites Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:08.413214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea843c3-46f7-49b1-8847-bb0854c5f9f8 · outbound

This paper cites Moments and Absolute Moments of the Normal Distribution.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Moments and Absolute Moments of the Normal Distribution

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:09.608604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e16767-28a5-46df-b75f-58bd86f541c0 · outbound

This paper cites Neural Policy Gradient Methods: Global Optimality and Rates of Convergence.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Neural Policy Gradient Methods: Global Optimality and Rates of Convergence

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:09.416245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9d6e03-b586-4be4-9ee0-797fa38f872f · outbound

This paper cites Approximations and Learning for Continuous State and Action MDPs under Average Cost Criteria.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Approximations and Learning for Continuous State and Action MDPs under Average Cost Criteria

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:08.751464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d400f9cc-b0e6-41d5-9c7d-320d7f93d2c8 · outbound

This paper cites Sim-to-real transfer in deep rein- forcement learning for robotics: a survey.

Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Sim-to-real transfer in deep rein- forcement learning for robotics: a survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T16:09:09.745306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.