Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.02181.
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 2026-08-03T04:39:24.916604Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 85338449-7ff9-4a60-8625-9976869a1615 · inbound
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization cites this paper.
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:09:51.285363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8b3f4ae-e2ca-46f0-ac52-47c19c38ec6f · inbound
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models cites this paper.
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:39:24.916604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.