Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Representing Linear Programs by Graph Neural Networks
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.12288.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:08.175341Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T14:26:28.518366Z
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 479d97be-f505-442e-b098-bfe9ca77d1d3 · inbound
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling cites this paper.
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling On Representing Linear Programs by Graph Neural Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:52:22.094467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3f90e38-664f-49b4-ba62-0fdc7d2cb157 · inbound
Surrogate Interpretable Graph for Random Decision Forests cites this paper.
Surrogate Interpretable Graph for Random Decision Forests On Representing Linear Programs by Graph Neural Networks
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:50:08.175341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddff2300-10e5-4d69-84a7-63c03233bb7e · inbound
Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices cites this paper.
Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices On Representing Linear Programs by Graph Neural Networks
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:26:28.521047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.