Paper Citation Record · LEDGER

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem

As of 15 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2412.14198.

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

pith.paper-citation-record.v1
2412.14198 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:34:47.524986Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:29:25.076193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:25:57.481438Z

Reference resolution

68 of 68 outbound references displayed

verified exact18
verified fuzzy29
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40f8e14f-f989-4f9b-a91f-c8d9c63057cb · outbound

This paper cites URL: https://github.com/KarlsruheMIS/KaMIS.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem URL: https://github.com/KarlsruheMIS/KaMIS

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.168533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62b2e6f6-9fe7-464e-904a-69004f129b9f · outbound

This paper cites URL: https://www.openstreetmap.org.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem URL: https://www.openstreetmap.org

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.155996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02db15ab-24c8-46af-9486-c89bb099d9e2 · outbound

This paper cites URL: https://sparse.tamu.edu.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem URL: https://sparse.tamu.edu

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.142418Z

Source-reported events for the cited work

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Observation f20dc30e-a370-4778-a83a-2695885b8fa7 · outbound

This paper cites Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, and Darren Strash.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, and Darren Strash

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.238520Z

Source-reported events for the cited work

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Observation c333db5d-7de7-4627-91fa-aa7c522e9ccb · outbound

This paper cites Akiba and Y.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Akiba and Y

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.243028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd9ddb3-b2b3-41d8-912b-423b3cfea4c3 · outbound

This paper cites Struction revisited.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Struction revisited

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.247179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f42088-e82a-4886-8510-8f4629f83fd8 · outbound

This paper cites Andrade, Mauricio G.C.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Andrade, Mauricio G.C

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.822030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1bbc5a0a-5645-4b79-9767-3936db6d61dd · outbound

This paper cites A fast algorithm for the maximum weight clique problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A fast algorithm for the maximum weight clique problem

Reference 8

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.809926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 192e67c8-78c6-4dab-9f4d-efaa74cb056f · outbound

This paper cites Finding a maximum clique in an arbitrary graph.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Finding a maximum clique in an arbitrary graph

Reference 9

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.797983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aeacdade-415a-448f-8f3f-63668fd7bda1 · outbound

This paper cites Pace solver description: The pace 2023 parameterized algorithms and computational experiments challenge: Twinwidth.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Pace solver description: The pace 2023 parameterized algorithms and computational experiments challenge: Twinwidth

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.127921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 691f936a-9c65-491f-8126-696ca33e8fc0 · outbound

This paper cites Temporal map labeling: A new unified framework with experiments.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Temporal map labeling: A new unified framework with experiments

Reference 11

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Source-reported events for the cited work

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Observation ecc1a47b-50e7-4f75-85ad-f94e2de46632 · outbound

This paper cites Maximum independent set and related problems, with applications.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Maximum independent set and related problems, with applications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.112992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4c0a03e-ac0e-4d97-b0ed-efcab212f5e1 · outbound

This paper cites Using critical sets to solve the maximum independent set problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Using critical sets to solve the maximum independent set problem

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.785054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a606eb00-482c-439c-90cc-1faed027ac8b · outbound

This paper cites Improving local search for minimum weight vertex cover by dynamic strategies.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Improving local search for minimum weight vertex cover by dynamic strategies

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.773049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b126fde8-2cab-454d-b433-6f31b5ea9f35 · outbound

This paper cites Local search with edge weighting and configuration checking heuristics for minimum vertex cover.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Local search with edge weighting and configuration checking heuristics for minimum vertex cover

Reference 15

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.760911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 893a0383-bbbd-47db-b4a5-bf98aab3d3ca · outbound

This paper cites The university of florida sparse matrix collection.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem The university of florida sparse matrix collection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.097866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 316c2d5c-f922-41ba-9295-894f6782b6b3 · outbound

This paper cites Benchmarking optimization software with performance profiles.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Benchmarking optimization software with performance profiles

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.296338Z

Source-reported events for the cited work

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Observation 574c7a13-4f2d-4b05-9e59-9546a656a077 · outbound

This paper cites A Metaheuristic Algorithm for Large Maximum Weight Independent Set Problems.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A Metaheuristic Algorithm for Large Maximum Weight Independent Set Problems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.301517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8742694d-07c8-4852-ac0a-a3d9c5ec5f30 · outbound

This paper cites New instances for maximum weight independent set from a vehicle routing application.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem New instances for maximum weight independent set from a vehicle routing application

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.083120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82726fda-4b57-4210-af7a-b86e51157be2 · outbound

This paper cites Pseudo-boolean functions and stability of graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Pseudo-boolean functions and stability of graphs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.312178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32c0832-f105-4f62-912c-2dab58a6cb38 · outbound

This paper cites An exact algorithm based on maxsat reasoning for the maximum weight clique problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem An exact algorithm based on maxsat reasoning for the maximum weight clique problem

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.070944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96ff0645-db9e-45a7-8b7e-3112078b6351 · outbound

This paper cites an unresolved cited work.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.320686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1913d33-0dd2-4386-a63f-beac8709ec07 · outbound

This paper cites There and back again: On applying data reduction rules by undoing others.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem There and back again: On applying data reduction rules by undoing others

Reference 23

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.717263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5585a848-00a0-4169-81d7-12332f7a6349 · outbound

This paper cites Boosting data reduction for the maximum weight independent set problem using increasing transformations.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Boosting data reduction for the maximum weight independent set problem using increasing transformations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.051072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78cd7bc4-3d7c-4b1a-86a7-4281d56ab752 · outbound

This paper cites Anatomy of high-performance matrix multiplication.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Anatomy of high-performance matrix multiplication

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.038421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35021f89-bf6c-4ea1-acc5-80e232451d78 · outbound

This paper cites The PACE 2022 parameterized algorithms and computational experiments challenge: directed feedback vertex set.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem The PACE 2022 parameterized algorithms and computational experiments challenge: directed feedback vertex set

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.025103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85e7c58f-174a-41b7-98f3-59016f63c748 · outbound

This paper cites Finding near-optimal weight independent sets at scale.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Finding near-optimal weight independent sets at scale

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.343323Z

Source-reported events for the cited work

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Observation 5db77f89-a874-483c-912b-7742acf949c8 · outbound

This paper cites A comprehensive survey of data reduction rules for the maximum weighted independent set problem, 2024.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A comprehensive survey of data reduction rules for the maximum weighted independent set problem, 2024

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:34:48.588667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 793f545d-30c2-4918-b60d-4aef724a39ca · outbound

This paper cites Towards computing a near-maximum weighted independent set on massive graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Towards computing a near-maximum weighted independent set on massive graphs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:49.012202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44aef050-d304-4414-88fe-4e650b04e3f9 · outbound

This paper cites A Bregman-Sinkhorn Algorithm for the Maximum Weight Independent Set Problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A Bregman-Sinkhorn Algorithm for the Maximum Weight Independent Set Problem

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.357032Z

Source-reported events for the cited work

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Observation 35e0fbe5-b753-4d8c-8c3d-3f2e7fd1eabc · outbound

This paper cites Personal communication, 2024.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Personal communication, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.999943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c62f465-3fc8-44cc-9826-86aa89df56cb · outbound

This paper cites Inductive representation learning on large graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Inductive representation learning on large graphs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.987419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4650dcff-b9ea-4e4d-a184-0a20b9f50817 · outbound

This paper cites Maximum-weight stable sets and safe lower bounds for graph coloring.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Maximum-weight stable sets and safe lower bounds for graph coloring

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.975040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37809c86-5c66-4e8b-b6bd-7946ada1d917 · outbound

This paper cites Targeted Branching for the Maximum Independent Set Problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Targeted Branching for the Maximum Independent Set Problem

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.377120Z

Source-reported events for the cited work

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Observation b25256a0-07aa-4d6e-aef2-5d5f644c0aa2 · outbound

This paper cites WeGotYouCovered : The winning solver from the PACE 2019 challenge, vertex cover track.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem WeGotYouCovered : The winning solver from the PACE 2019 challenge, vertex cover track

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.381577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9dc6ea4-a562-4a8d-8ea5-7cd717918963 · outbound

This paper cites An exact algorithm for the maximum weight clique problem in large graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem An exact algorithm for the maximum weight clique problem in large graphs

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.962770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd0d75b2-eaef-4d87-82b9-6548ecc3f503 · outbound

This paper cites Reducibility among combinatorial problems.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Reducibility among combinatorial problems

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.390377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f629890-36d7-4fa6-9416-e5790746a2d0 · outbound

This paper cites The PACE 2021 parameterized algorithms and computational experiments challenge: Cluster editing.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem The PACE 2021 parameterized algorithms and computational experiments challenge: Cluster editing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.941289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b3d70a7-56aa-47d2-8ff6-fdd7289ff05b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Adam: A Method for Stochastic Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.399315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da2511b-1a2e-4124-83c9-7bb63828176f · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Semi-Supervised Classification with Graph Convolutional Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.403062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a1f611-ec80-4bb1-8dbe-49ef534c88f2 · outbound

This paper cites Scalable graph mining and learning (dagstuhl seminar 23491).

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Scalable graph mining and learning (dagstuhl seminar 23491)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.928489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation faa22383-7da1-4a14-9069-8084f833e234 · outbound

This paper cites Graph partitioning for independent sets.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Graph partitioning for independent sets

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.914880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c02d639c-b86d-433b-855b-fa78675792ad · outbound

This paper cites an unresolved cited work.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.413760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 186ef127-4916-4e8b-a6da-86392534d87f · outbound

This paper cites Exactly solving the maximum weight independent set problem on large real-world graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Exactly solving the maximum weight independent set problem on large real-world graphs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.419515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a79bcc0-8ee1-4ee5-b42a-3e3ce11a32b6 · outbound

This paper cites Targeted branching for the maximum independent set problem using graph neural networks.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Targeted branching for the maximum independent set problem using graph neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.903091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c9560e8-75bb-42bb-b3ce-cba7fe65be69 · outbound

This paper cites Efficient minimum weight vertex cover heuristics using graph neural networks.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Efficient minimum weight vertex cover heuristics using graph neural networks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.891178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9357abc7-311b-47d0-9eb5-684149dad534 · outbound

This paper cites Learning fine-grained search space pruning and heuristics for combinatorial optimization.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Learning fine-grained search space pruning and heuristics for combinatorial optimization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.878829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d52c3f6d-44e7-4cd5-9bd2-c1a2d4d0ab89 · outbound

This paper cites SNAP Datasets : Stanford large network dataset collection.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem SNAP Datasets : Stanford large network dataset collection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.866256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97e0071b-81b9-4eaa-96da-235e08403cda · outbound

This paper cites On minimization of the number of branches in branch-and-bound algorithms for the maximum clique problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem On minimization of the number of branches in branch-and-bound algorithms for the maximum clique problem

Reference 49

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.678605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ce2836ec-87f2-45fb-983f-ecde0a8fec27 · outbound

This paper cites Numwvc: A novel local search for minimum weighted vertex cover problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Numwvc: A novel local search for minimum weighted vertex cover problem

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.446165Z

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Observation e992bfd7-2dae-4a45-a241-d50eb6c9b7ac · outbound

This paper cites An efficient local search algorithm for minimum weighted vertex cover on massive graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem An efficient local search algorithm for minimum weighted vertex cover on massive graphs

Reference 51

Resolution: verified exact; doi, observed 2026-08-11T15:34:48.852353Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d95cea6-d600-4b83-8bee-eec9d56f8ad8 · outbound

This paper cites an unresolved cited work.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Unresolved cited work

Reference 52

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.664354Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9344a0c6-0e2d-4f53-9dcb-a0f9d027294c · outbound

This paper cites A fast algorithm for the maximum clique problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A fast algorithm for the maximum clique problem

Reference 53

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.650203Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 089d6677-b77c-4af3-a65f-153a35ecf4cf · outbound

This paper cites Sat-and-reduce for vertex cover: Accelerating branch-and-reduce by sat solving.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Sat-and-reduce for vertex cover: Accelerating branch-and-reduce by sat solving

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.838556Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef3e16ed-24a9-475a-845a-0763067fe6e1 · outbound

This paper cites A branch and cut solver for the maximum stable set problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A branch and cut solver for the maximum stable set problem

Reference 55

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.635507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ee3ab96-df61-42fa-85c8-0ad4652c2582 · outbound

This paper cites Efficient traversal of mesh edges using adjacency primitives.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Efficient traversal of mesh edges using adjacency primitives

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.472493Z

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Observation 0a271e4b-58f8-45c7-9a25-1df8b9fa9c0a · outbound

This paper cites Combining algorithms for vertex cover and clique search.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Combining algorithms for vertex cover and clique search

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.824487Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9491574-b8ac-4e8b-a348-3ccd27da12b2 · outbound

This paper cites Graph partitioning archive.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Graph partitioning archive

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.808440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 69d6c757-1a14-4df2-a652-d13dbc13c053 · outbound

This paper cites An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:34:47.621958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 258211b3-7667-4014-a0fc-ce52f6209eb8 · outbound

This paper cites Combinatorial branch-and-bound for the maximum weight independent set problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Combinatorial branch-and-bound for the maximum weight independent set problem

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.795433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9e7cbf0-4ae6-4bc4-965c-8c8fe88dc731 · outbound

This paper cites A branch, price, and cut approach to solving the maximum weighted independent set problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A branch, price, and cut approach to solving the maximum weighted independent set problem

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.782246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5aafef18-2c38-4c3a-bb78-cc1ace01bd0d · outbound

This paper cites A branch-and-price approach for the maximum weight independent set problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A branch-and-price approach for the maximum weight independent set problem

Reference 62

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.605087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 447b2444-965e-4100-952b-1573cce0c0d5 · outbound

This paper cites A comprehensive survey on graph neural networks.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A comprehensive survey on graph neural networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.504120Z

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Observation 993f5735-b133-40af-a976-a4699ef996b4 · outbound

This paper cites Maximum weighted independent set: Effective reductions and fast algorithms on sparse graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Maximum weighted independent set: Effective reductions and fast algorithms on sparse graphs

Reference 64

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.592096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c5de51f-1e68-470f-8a5c-53a7ee73baa7 · outbound

This paper cites Efficient reductions and a fast algorithm of maximum weighted independent set.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Efficient reductions and a fast algorithm of maximum weighted independent set

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:34:48.760777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08227c3e-9d71-4863-8587-bc5cdce293df · outbound

This paper cites Confining sets and avoiding bottleneck cases: A simple maximum independent set algorithm in degree-3 graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Confining sets and avoiding bottleneck cases: A simple maximum independent set algorithm in degree-3 graphs

Reference 66

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.579220Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e9359f2-0d6d-4ec4-9213-29f6a3184dd4 · outbound

This paper cites A new solver for the minimum weighted vertex cover problem.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem A new solver for the minimum weighted vertex cover problem

Reference 67

Resolution: verified exact; doi, observed 2026-08-11T15:34:47.564736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7362f994-046f-4988-9fef-3cd92dbd0aac · outbound

This paper cites Efficient weighted independent set computation over large graphs.

Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem Efficient weighted independent set computation over large graphs

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:47.524986Z

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Pith citing papers

Observation 8dfc8f5d-d237-40ad-8988-1736bf3c5318 · inbound

Reducibility of native weighted graphs on Rydberg Arrays cites this paper.

Reducibility of native weighted graphs on Rydberg Arrays Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:25:57.484203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 45217967-679b-4c83-b6a4-2312d718f7b0 · inbound

New lower bounds for binary constant-weight codes: $A(23,6,10)\geq 2979$ and $A(24,6,10)\geq 4214$ cites this paper.

New lower bounds for binary constant-weight codes: $A(23,6,10)\geq 2979$ and $A(24,6,10)\geq 4214$ Accelerating Reductions Using Graph Neural Networks and a New Concurrent Local Search for the Maximum Weight Independent Set Problem

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:25.076193Z

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