Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1812.04176.
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 2026-08-14T13:28:22.068431Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:10:53.656360Z
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 6ca3eaf0-5ba0-4762-b725-aaa1984413a6 · inbound
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis cites this paper.
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:28:22.068431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f83e9ac-7dab-4dc7-969b-2072a75a13c3 · inbound
Deep ReLU networks -- injectivity capacity upper bounds cites this paper.
Deep ReLU networks -- injectivity capacity upper bounds A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:14:22.957677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31db838d-d5e8-48d9-adec-3050eb4092e2 · inbound
Tessellations of Semi-Discrete Flow Matching cites this paper.
Tessellations of Semi-Discrete Flow Matching A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors
Reference 128
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T23:15:46.543457Z
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.