Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:29:52.632452Z
Paper Citation Record · LEDGER
Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach
As of 19 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 3 inbound Pith citation observations for arXiv:2508.01718.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:29:52.632452Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T00:08:21.671113Z
Reference resolution
1 of 1 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c188cfea-9fbb-4a23-83c9-445a0ca5e05c · outbound
This paper cites Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach.
Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:29:52.632452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation c188cfea-9fbb-4a23-83c9-445a0ca5e05c · inbound
Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach cites this paper.
Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:29:52.632452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66174ed1-c5e3-4b23-9625-d8f92e939579 · inbound
Data-driven online control for real-time optimal economic dispatch and temperature regulation in district heating systems cites this paper.
Data-driven online control for real-time optimal economic dispatch and temperature regulation in district heating systems Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T01:20:03.988362Z
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 748b9fef-ee2c-4311-8f62-30e52644af0a · inbound
Policy Iteration for Stationary Discounted Hamilton--Jacobi--Bellman Equations: A Viscosity Approach cites this paper.
Policy Iteration for Stationary Discounted Hamilton--Jacobi--Bellman Equations: A Viscosity Approach Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T01:20:03.988362Z
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.