Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distilling Wikipedia mathematical knowledge into neural network models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.05930.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:52.879067Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T15:29:37.343579Z
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 ed061732-a22c-4454-9f40-793f47cb5865 · inbound
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces cites this paper.
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces Distilling Wikipedia mathematical knowledge into neural network models
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:29:37.347827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4651c61-f86d-4022-a5d6-ef7d65567e68 · inbound
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks cites this paper.
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Distilling Wikipedia mathematical knowledge into neural network models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:59:52.879067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b56fd558-6aab-47a3-8674-22bde52237da · inbound
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics cites this paper.
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics Distilling Wikipedia mathematical knowledge into neural network models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:08:03.612131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.