Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LassoNet: A Neural Network with Feature Sparsity
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1907.12207.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T06:11:13.051639Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
59
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e577620f-2781-4e2d-b5dd-aacc77b92fac · inbound
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions cites this paper.
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions LassoNet: A Neural Network with Feature Sparsity
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T06:19:03.747485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.