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Paper Citation Record · LEDGER

Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.05834.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.05834 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:42:59.864295Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T20:29:23.367425Z

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 83fc7577-ad7b-4bfd-9a7f-e98849989cf8 · inbound

Unsupervised Learning for the Elementary Shortest Path Problem cites this paper.

Unsupervised Learning for the Elementary Shortest Path Problem Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T05:42:59.864295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:42:59.864295Z digest=sha256:60677e1ffa40c5c86e124508fe14a7b8e55b2a62452d5fbc6845564f05b44b0e

Observation b823db24-d186-492e-9190-fdfeeb0d26a5 · inbound

Nonlocal Monte Carlo via Reinforcement Learning cites this paper.

Nonlocal Monte Carlo via Reinforcement Learning Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:29:23.460960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.733100Z digest=sha256:1cbe4f24e7688c77d8daf40dbcc69abdf20a3e81777ff385ce32f17286299f72