Paper Citation Record · LEDGER

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.05845.

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

pith.paper-citation-record.v1
2501.05845 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:11:01.165823Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy24
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14480c31-0062-457a-a44f-b0e0ad0b043b · outbound

This paper cites Katzgraber.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Katzgraber

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.461803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ecee3d28-5d60-43d8-a99e-096bb0201a69 · outbound

This paper cites Fast unfolding of communities in large networks.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Fast unfolding of communities in large networks

Reference 2

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Source-reported events for the cited work

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Observation 43648a96-14d2-447e-b17d-81478ab90fba · outbound

This paper cites Approximating maximum independent sets by excluding subgraphs.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Approximating maximum independent sets by excluding subgraphs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:00.502359Z

Source-reported events for the cited work

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Observation 7050f240-6bfe-4696-894a-71d305e4b564 · outbound

This paper cites How attentive are graph attention networks? In International Conference on Learning Representations, 2022.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization How attentive are graph attention networks? In International Conference on Learning Representations, 2022

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:00.507404Z

Source-reported events for the cited work

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Observation 0a4da819-c2f8-4c08-a8f8-4cf9a0d3b83e · outbound

This paper cites Maximum independent set: Self-training through dynamic programming.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Maximum independent set: Self-training through dynamic programming

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.385884Z

Source-reported events for the cited work

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Observation 4df8a719-ce29-4cc3-99aa-9f83169c8233 · outbound

This paper cites Finding Maximum Cliques on the D-Wave Quantum Annealer.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Finding Maximum Cliques on the D-Wave Quantum Annealer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.358987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ccc36921-5efb-474f-b992-f157abd70f0c · outbound

This paper cites Clustering approach for solving traveling salesman problems via ising model based solver.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Clustering approach for solving traveling salesman problems via ising model based solver

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.338815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c657449-3fd0-44d1-8ba9-727a1ea79d2d · outbound

This paper cites Qubo formulations for training machine learning models.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Qubo formulations for training machine learning models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.316025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e6f9146-fcd1-4dc2-98ae-dcb75a6f37a6 · outbound

This paper cites Graph communities in neo4j: Four algorithms at work.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Graph communities in neo4j: Four algorithms at work

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.290304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1813a1b1-eece-46b7-b3f3-3e1709a57d29 · outbound

This paper cites Quantum bridge analytics i: a tutorial on formulating and using qubo models.Annals of Operations Research, 314(1):141–183, 2022.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Quantum bridge analytics i: a tutorial on formulating and using qubo models.Annals of Operations Research, 314(1):141–183, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.272000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b642755-0801-4610-b1ad-e7131c25ddc8 · outbound

This paper cites High-performance combinatorial optimization based on classical mechanics.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization High-performance combinatorial optimization based on classical mechanics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.236492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 525a3726-d481-4c4d-b4cb-6a9c07de5df3 · outbound

This paper cites an unresolved cited work.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:02.208335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ecbc48f-6ea9-4141-b53a-28afff48ddd8 · outbound

This paper cites Exploring network structure, dynamics, and function using networkx.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Exploring network structure, dynamics, and function using networkx

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:00.634754Z

Source-reported events for the cited work

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Observation a907e310-8208-4ea7-ba0f-eb5eaea274e5 · outbound

This paper cites an unresolved cited work.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:02.165464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5de63b3-60be-422b-b8cf-a7dbbad6a7e0 · outbound

This paper cites Graph representation learning.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Graph representation learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.123906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 195cea2a-6b84-486f-b742-9ff812bd13e8 · outbound

This paper cites Enhancing quantum annealing performance for the molecular similarity problem.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Enhancing quantum annealing performance for the molecular similarity problem

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.071874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fce35953-344c-43dd-b534-b67f58c24892 · outbound

This paper cites 100,000-spin coherent Ising machine.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization 100,000-spin coherent Ising machine

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:02.015765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61a21de9-d823-43ef-8dbb-79a9919519c1 · outbound

This paper cites an unresolved cited work.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:01.983015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcd3c623-d54e-4fcf-8820-b774fdcb39d0 · outbound

This paper cites Accelerating training and inference of graph neural networks with fast sampling and pipelining.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Accelerating training and inference of graph neural networks with fast sampling and pipelining

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.915731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eea9c914-c457-4045-967c-4ac708eaf5a9 · outbound

This paper cites McMahon, and Tim Byrnes.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization McMahon, and Tim Byrnes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.864942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 945b2399-2251-4820-a0fb-bc748dfef7ca · outbound

This paper cites Dynamic portfolio optimization with real datasets using quantum processors and quantum-inspired tensor networks.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Dynamic portfolio optimization with real datasets using quantum processors and quantum-inspired tensor networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.823957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1a4c9b8-4cf6-45a2-a6b2-bed35911793c · outbound

This paper cites Traffic flow optimization using a quantum annealer.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Traffic flow optimization using a quantum annealer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.765689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b43f3866-4e0b-4f8f-8227-906353cf7065 · outbound

This paper cites Binary optimization by momentum annealing.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Binary optimization by momentum annealing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.724739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d8373eb-af15-4fa9-8f48-321fbdc18554 · outbound

This paper cites Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.690988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation abaed734-125e-4d6d-ab73-04304c9e1c57 · outbound

This paper cites Combinatorial optimization with physics-inspired graph neural networks.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Combinatorial optimization with physics-inspired graph neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:00.947145Z

Source-reported events for the cited work

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Observation 869ab042-6604-4aed-a378-5228ab769ce3 · outbound

This paper cites A Decomposition Method for Makespan Minimization in Job-Shop Scheduling Problem Using Ising Machine.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization A Decomposition Method for Makespan Minimization in Job-Shop Scheduling Problem Using Ising Machine

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.604745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f883ab4f-cf1c-416a-b37d-f6c12761313a · outbound

This paper cites Graph neural networks for maximum constraint satisfaction.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Graph neural networks for maximum constraint satisfaction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.558731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4a59930-69d4-428f-bd0d-1ff16e2619af · outbound

This paper cites An accelerator architecture for combinatorial optimization problems.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization An accelerator architecture for combinatorial optimization problems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.516977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9300e9a0-f4d5-4a8c-af20-102d8948fb16 · outbound

This paper cites Graph attention networks.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Graph attention networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:01.029034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd2306f1-e5b3-4131-9377-2872aa4d907f · outbound

This paper cites A 1.3-Mbit Annealing System Composed of Fully-Synchronized 9-board x 9-chip x 16-kbit Annealing Processor Chips for Large-Scale Combinatorial Optimization Problems.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization A 1.3-Mbit Annealing System Composed of Fully-Synchronized 9-board x 9-chip x 16-kbit Annealing Processor Chips for Large-Scale Combinatorial Optimization Problems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.450485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22a7a062-0110-448d-a33a-cd4fb07c410c · outbound

This paper cites 20k-spin Ising chip for combinational optimization problem with CMOS annealing.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization 20k-spin Ising chip for combinational optimization problem with CMOS annealing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.361704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6002b6b3-8a6e-4a33-a972-759e0947ff3c · outbound

This paper cites QUBO-inspired Molecular Fingerprint for Chemical Property Prediction.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization QUBO-inspired Molecular Fingerprint for Chemical Property Prediction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.305491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53a9395c-5e26-4d38-b5fe-8eb427c20164 · outbound

This paper cites Distdgl: distributed graph neural network training for billion-scale graphs.

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization Distdgl: distributed graph neural network training for billion-scale graphs

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:01.279628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.