Paper Citation Record · LEDGER

Graph Neural Networks are Heuristics

As of 10 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2601.13465.

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

pith.paper-citation-record.v1
2601.13465 v4

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:36:04.063711Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df6ebab7-dbb9-452e-bc27-ac281c5328ae · outbound

This paper cites Attention, Learn to Solve Routing Problems!.

Graph Neural Networks are Heuristics Attention, Learn to Solve Routing Problems!

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:03.751355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e322ff-bd14-4cb7-8c56-0ee1e221b7da · outbound

This paper cites Learning Latent Permutations with Gumbel-Sinkhorn Networks.

Graph Neural Networks are Heuristics Learning Latent Permutations with Gumbel-Sinkhorn Networks

Reference 1973

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:03.849990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d99fab-e851-42d4-b212-28d250b4a7e6 · outbound

This paper cites Learning heuristics for the tsp by policy gradient.

Graph Neural Networks are Heuristics Learning heuristics for the tsp by policy gradient

Reference 1976

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:03.520758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c2dc76-11e2-4ff7-9232-373776a2df18 · outbound

This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

Graph Neural Networks are Heuristics An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:03.629370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d5b508-5c71-47cf-82e1-b4e430be2d7a · outbound

This paper cites Unsupervised learning permutations for tsp using gumbel-sinkhorn operator.

Graph Neural Networks are Heuristics Unsupervised learning permutations for tsp using gumbel-sinkhorn operator

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:03.940578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c2f9d5e-5ad5-4ae8-80e3-ff0cad306fc3 · outbound

This paper cites Structure as search: Unsupervised permutation learning for com- binatorial optimization.arXiv preprint arXiv:2507.04164,.

Graph Neural Networks are Heuristics Structure as search: Unsupervised permutation learning for com- binatorial optimization.arXiv preprint arXiv:2507.04164,

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:04.063711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.