Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generating Rectifiable Measures through Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.05109.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:12:59.238677Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:21:23.750386Z
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 3ba7776b-be07-48b9-a56e-1d5d51613b9c · inbound
Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data cites this paper.
Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data Generating Rectifiable Measures through Neural Networks
Reference 96
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:12:59.238677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5feefad8-af1b-4c04-ae5e-8734db0c85d0 · inbound
Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples cites this paper.
Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples Generating Rectifiable Measures through Neural Networks
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-06-03T02:05:40.157561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.