Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11897.
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 2026-08-11T20:58:25.538427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:59:35.628881Z
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 187d7803-8136-472d-a312-c62fd5b02759 · inbound
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems cites this paper.
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:58:25.538427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 305b9a88-e07a-4a8e-9324-1364c312338e · inbound
Profiling the Effective Limits of Error Mitigation via Circuit Replication cites this paper.
Profiling the Effective Limits of Error Mitigation via Circuit Replication A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:59:35.630750Z
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.