Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.15267.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:08.053100Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:15:48.086577Z
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 c8f9a20b-5c20-43cb-8182-4992b6418c86 · inbound
Safe PDE Boundary Control with Neural Operators cites this paper.
Safe PDE Boundary Control with Neural Operators Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:09:08.053100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1d0b86c-bcdc-4722-8487-d5cb799bcbeb · inbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models cites this paper.
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:37:37.174209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8407ae25-cc2a-4ebe-a772-6c96e5d5af5a · inbound
Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-B\'enard Convection cites this paper.
Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-B\'enard Convection Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:15:48.088093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 36eaa9e7-2cc4-4b25-9ea2-126a5d20d336 · inbound
Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-B\'enard Convection cites this paper.
Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-B\'enard Convection Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T10:44:21.353061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.