Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Painters: A learned differentiable constraint for generating brushstroke paintings
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.08410.
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 2026-08-14T14:09:50.076266Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T14:57:58.314668Z
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 62c43204-8d6a-4f57-8675-efcf224a49f2 · inbound
Channel Decomposition into Painting Actions cites this paper.
Channel Decomposition into Painting Actions Neural Painters: A learned differentiable constraint for generating brushstroke paintings
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:09:50.076266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d0f642-24ed-40fd-b4b7-2dc161d27c0e · inbound
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey cites this paper.
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey Neural Painters: A learned differentiable constraint for generating brushstroke paintings
Reference 129
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:23:28.297057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed4d4351-6757-4553-a80d-147b9b7fe592 · inbound
MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation cites this paper.
MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation Neural Painters: A learned differentiable constraint for generating brushstroke paintings
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T14:57:58.318771Z
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.