Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01700.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:09:54.532159Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:15:27.541821Z
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 9d8ae7c1-ca57-4c48-b32c-f1e64193ee9e · inbound
Deep Distributed Optimization for Large-Scale Quadratic Programming cites this paper.
Deep Distributed Optimization for Large-Scale Quadratic Programming A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:09:54.532159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 565138c3-aefe-4d35-8877-1930580e1e83 · inbound
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery cites this paper.
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:15:27.545190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 454f6af0-2299-42e4-bca4-289a8b6582fb · inbound
Learning to accelerate distributed ADMM using graph neural networks cites this paper.
Learning to accelerate distributed ADMM using graph neural networks A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:46:45.078265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.