Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS | Paper Citation Record

Observation f78f2fbc-c1a3-48d8-b18c-2ac9c513a7f0 · outbound

This paper cites Ranking via Sinkhorn Propagation.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Ranking via Sinkhorn Propagation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:06:07.022816Z

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This paper cites Polynomial-time algorithms for multimarginal optimal transport problems with structure.Mathematical Programming, 199(1):1107–1178.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Polynomial-time algorithms for multimarginal optimal transport problems with structure.Mathematical Programming, 199(1):1107–1178

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.314477Z

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Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Unresolved cited work

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.288820Z

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Observation ac54a0b7-0147-4732-ba92-9e091035c217 · outbound

This paper cites Molecular docking with gaussian boson sampling.Science advances, 6(23):eaax1950.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Molecular docking with gaussian boson sampling.Science advances, 6(23):eaax1950

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.293191Z

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Observation fd124e8d-155d-4304-8780-204c110d15f6 · outbound

This paper cites On projection algorithms for solving convex feasibility problems.SIAM review, 38(3):367–426.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS On projection algorithms for solving convex feasibility problems.SIAM review, 38(3):367–426

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.306454Z

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Observation 12dcee0f-35c9-4ec2-a3a8-b61b852fe4d7 · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Neural Combinatorial Optimization with Reinforcement Learning

Reference 6

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Observation 0b87430a-be3b-4901-ac15-4f2b2ce18d09 · outbound

This paper cites A branch-and-bound algorithm for the knapsack problem with conflict graph.INFORMS Journal on Computing, 29(3):457– 473.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS A branch-and-bound algorithm for the knapsack problem with conflict graph.INFORMS Journal on Computing, 29(3):457– 473

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.297199Z

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Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.284627Z

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Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.310400Z

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Observation 3cc2a5d8-cf77-4aa7-b5a1-f35b7e3e1b4f · outbound

This paper cites Bomze, Marcello Pelillo, and Vincenzo Stix.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Bomze, Marcello Pelillo, and Vincenzo Stix

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.300977Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1bfef6e8-b426-49ba-adf2-527afc53f194 · outbound

This paper cites Segmentation as maximum-weight independent set.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Segmentation as maximum-weight independent set

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.276046Z

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Observation 6f33de51-ba4c-4519-b91b-47ad7111a1b9 · outbound

This paper cites On a relation between graph edit distance and maximum common subgraph.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS On a relation between graph edit distance and maximum common subgraph

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.280502Z

Source-reported events for the cited work

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Observation 6250e21e-53bf-47c3-a78d-16696bc5393e · outbound

This paper cites Unified scaling laws for routed language models.International Conference on Machine Learning (ICML).

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Unified scaling laws for routed language models.International Conference on Machine Learning (ICML)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.363688Z

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Observation 9d123836-a47a-4531-91bf-8472fd8ca418 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Sinkhorn distances: Lightspeed computation of optimal transport

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.359730Z

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Observation 8126108c-5d76-4372-bbb5-58afd663c1ad · outbound

This paper cites Cvetkovi´c, Michael Doob, and Horst Sachs.Spectra of Graphs: Theory and Appli- cations.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Cvetkovi´c, Michael Doob, and Horst Sachs.Spectra of Graphs: Theory and Appli- cations

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.423848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8c47d920-8a3c-4023-a62d-07e819072f09 · outbound

This paper cites Combinatorial auctions: A survey.INFORMS Journal on computing, 15(3):284–309.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Combinatorial auctions: A survey.INFORMS Journal on computing, 15(3):284–309

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.367965Z

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Observation bcc3fb80-9e9c-4491-ac5a-369c5a451999 · outbound

This paper cites DeepSeek-V3 Technical Report.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS DeepSeek-V3 Technical Report

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:06:07.008439Z

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Observation 55d41284-23b3-48b0-b4e3-fa2cd95f215c · outbound

This paper cites The pickup and delivery problem with time windows.European journal of operational research, 54(1):7–22.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS The pickup and delivery problem with time windows.European journal of operational research, 54(1):7–22

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.419033Z

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Observation 8a551415-7f58-4d37-bcfa-701e0c7a5c4f · outbound

This paper cites Constraint composite graph-based lifted message passing for distributed constraint optimization problems.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Constraint composite graph-based lifted message passing for distributed constraint optimization problems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.397141Z

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Observation 5148bf4e-ecad-4425-a177-638ca9a30fb6 · outbound

This paper cites Evolutionary games in economics.Econometrica: Journal of the Econo- metric Society, 59(3):637–666.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Evolutionary games in economics.Econometrica: Journal of the Econo- metric Society, 59(3):637–666

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.392670Z

Source-reported events for the cited work

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Observation f7caf82e-a41f-409b-b760-93ce464f9e55 · outbound

This paper cites freeman San Francisco.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS freeman San Francisco

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.376558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e72ca87c-7981-48f3-a4fa-d99771263739 · outbound

This paper cites PhD thesis, Paris Sciences et Lettres.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS PhD thesis, Paris Sciences et Lettres

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.477157Z

Source-reported events for the cited work

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Observation 09f966bd-bbbc-4d7a-81d4-8a27b9fe03a1 · outbound

This paper cites Continu- ous characterizations of the maximum clique problem.Mathematics of Operations Research, 22(3):754–768.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Continu- ous characterizations of the maximum clique problem.Mathematics of Operations Research, 22(3):754–768

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.497942Z

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Observation 69096367-f7fb-4227-aa8d-b1c6ec73153b · outbound

This paper cites A graduated assignment algorithm for graph matching.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS A graduated assignment algorithm for graph matching

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.449221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4b33de71-1ba9-4429-b6a2-ee74db946387 · outbound

This paper cites Softmax to softassign: Neural network algorithms for combinatorial optimization.Journal of Artificial Neural Networks, 2(4):381–399.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Softmax to softassign: Neural network algorithms for combinatorial optimization.Journal of Artificial Neural Networks, 2(4):381–399

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.493666Z

Source-reported events for the cited work

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Observation 48d47ed6-6d60-43e9-ba2f-01722a0a9fa5 · outbound

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

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS A Bregman-Sinkhorn Algorithm for the Maximum Weight Independent Set Problem

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:06:07.004838Z

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Observation 0a32642f-0013-485a-9f95-c0cf3cdf0c42 · outbound

This paper cites Hofbauer and K.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Hofbauer and K

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.436564Z

Source-reported events for the cited work

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Observation bba10348-4b71-43b1-a3cb-af2d01a96060 · outbound

This paper cites A tutorial on mm algorithms.The American Statistician, 58(1):30–37.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS A tutorial on mm algorithms.The American Statistician, 58(1):30–37

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.372261Z

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Observation 0081cd88-a2dc-4f83-8935-ff867b751889 · outbound

This paper cites Erd ˝os goes neural: an unsupervised learning frame- work for combinatorial optimization on graphs.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Erd ˝os goes neural: an unsupervised learning frame- work for combinatorial optimization on graphs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.380583Z

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Observation 10547eca-8354-4536-a370-9b51745bf88a · outbound

This paper cites Reducibility among combinatorial problems.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Reducibility among combinatorial problems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.343833Z

Source-reported events for the cited work

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Observation 6f95c24a-3cfd-4f2e-b114-62555f938752 · outbound

This paper cites The maximum weight trace problem in multiple sequence alignment.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS The maximum weight trace problem in multiple sequence alignment

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.317828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3d290933-b16d-4607-ab49-c1fecd043407 · outbound

This paper cites Learning combinatorial optimization algorithms over graphs.Advances in neural information processing systems, 30.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Learning combinatorial optimization algorithms over graphs.Advances in neural information processing systems, 30

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.347960Z

Source-reported events for the cited work

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Observation 43c74411-18c8-4b64-bc8e-b19ab04f0357 · outbound

This paper cites The invisible hand algorithm: Solving the assignment problem with statistical physics.Neural networks, 7(3):477–490.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS The invisible hand algorithm: Solving the assignment problem with statistical physics.Neural networks, 7(3):477–490

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.355588Z

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Observation cf508904-6866-4d63-8ade-2b399977ca66 · outbound

This paper cites The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2):83–97.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2):83–97

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.339107Z

Source-reported events for the cited work

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Observation 028ae6c8-3c65-4f31-80d8-5521e92dedc2 · outbound

This paper cites metavar: Introducing metavariant species models for reference-free metagenomic- based population genomics.PLoS One, 15(12):e0244637.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS metavar: Introducing metavariant species models for reference-free metagenomic- based population genomics.PLoS One, 15(12):e0244637

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.322220Z

Source-reported events for the cited work

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Observation ca2e22f4-ae41-4ab6-a733-46f25bfda8fa · outbound

This paper cites Algorithms for non-negative matrix factorization.Ad- vances in neural information processing systems, 13.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Algorithms for non-negative matrix factorization.Ad- vances in neural information processing systems, 13

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.326537Z

Source-reported events for the cited work

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Observation 609d4f1f-2e4c-4d96-baf5-0b63560e4911 · outbound

This paper cites Practical graph isomorphism.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Practical graph isomorphism

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.334195Z

Source-reported events for the cited work

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Observation 9f99bc52-99ac-49e6-8d8c-7734880e4d9f · outbound

This paper cites Learning latent permu- tations with gumbel-sinkhorn networks.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Learning latent permu- tations with gumbel-sinkhorn networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.330200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e3bb619a-52a6-4025-b89c-1eb73e7d4caf · outbound

This paper cites Stanley Metcalfe.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Stanley Metcalfe

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.351467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4593cac8-21e8-442a-a2d6-f65d2555d53f · outbound

This paper cites Maxima for graphs and a new proof of a theorem of tur´an.Canadian Journal of Mathematics, 17:533–540.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Maxima for graphs and a new proof of a theorem of tur´an.Canadian Journal of Mathematics, 17:533–540

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.384298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f0c734f1-fed7-4b51-bd20-3f0a6bbfad9c · outbound

This paper cites The maximum weight independent set prob- lem for data association in multiple hypothesis tracking.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS The maximum weight independent set prob- lem for data association in multiple hypothesis tracking

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.388277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3b4c48d1-6c2a-45b1-9a6d-7b3a2252dbba · outbound

This paper cites Differentiation of blackbox combinatorial solvers.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Differentiation of blackbox combinatorial solvers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.501669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a233dc60-7612-4b19-8f3c-e29fe418bbd1 · outbound

This paper cites Convergence properties of the softassign quadratic assignment algorithm.Neural Computation, 11(6):1455–1474.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Convergence properties of the softassign quadratic assignment algorithm.Neural Computation, 11(6):1455–1474

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.485400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a17b599c-2b93-4ef8-8e50-909de7834327 · outbound

This paper cites A convergence proof for the softassign quadratic assignment algorithm.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS A convergence proof for the softassign quadratic assignment algorithm

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.481226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4a62c935-8efc-43b6-85fa-26fa4442898c · outbound

This paper cites Tessetrack: End-to-end learnable multi-person articulated 3d pose tracking.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Tessetrack: End-to-end learnable multi-person articulated 3d pose tracking

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.489495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 039d50a1-d0c1-4538-8f28-dedc9f512465 · outbound

This paper cites Message passing for maximum weight independent set.IEEE Transactions on Information Theory, 55(11):4822–4834.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Message passing for maximum weight independent set.IEEE Transactions on Information Theory, 55(11):4822–4834

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.505850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3207d62f-1b95-4a32-9914-70fb59f0d5c3 · outbound

This paper cites Super- glue: Learning feature matching with graph neural networks.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Super- glue: Learning feature matching with graph neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.509623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 10270cfd-ff0b-4b3f-8963-62ae7b56be49 · outbound

This paper cites Coupled replicator equations for the dynamics of learn- ing in multiagent systems.Physical Review E, 67(1):015206.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Coupled replicator equations for the dynamics of learn- ing in multiagent systems.Physical Review E, 67(1):015206

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.517995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b79c6fc9-042c-43d8-ae9d-b07a29ea66be · outbound

This paper cites Concerning nonnegative matrices and doubly stochastic matrices.Pacific Journal of Mathematics, 21(2):343–348.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Concerning nonnegative matrices and doubly stochastic matrices.Pacific Journal of Mathematics, 21(2):343–348

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.445171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b76edc00-54c4-4bc5-bf66-b4474893c7d4 · outbound

This paper cites Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.453336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation a38c2d99-95de-49d1-a92d-871bf8ef3e2a · outbound

This paper cites an unresolved cited work.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Unresolved cited work

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.457335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 95100e2f-825f-455c-8cd0-dba19036288e · outbound

This paper cites An optimisation algorithm for maximum independent set with applications in map labelling.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS An optimisation algorithm for maximum independent set with applications in map labelling

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.465382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c52bcb6d-3153-4958-958a-e8da50361683 · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS mHC: Manifold-Constrained Hyper-Connections

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:31:48.157540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c1e4fcbf-0884-48fc-be89-9fb65a566b58 · outbound

This paper cites Fast action proposals for human action detection and search.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Fast action proposals for human action detection and search

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.469469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1c3264f2-1d9c-4f15-9276-59ea77b5104a · outbound

This paper cites Stereo and eye movement.Biological Cybernetics, 63:1–12.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Stereo and eye movement.Biological Cybernetics, 63:1–12

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.440704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation dc749672-334a-43b1-94bf-417bc79fbc69 · outbound

This paper cites Deep learning of graph matching.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Deep learning of graph matching

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.427991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7174e962-c96d-420d-8eab-b14f10f79770 · outbound

This paper cites Indoor scene reconstruction from a single view as maximum weight independent set.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Indoor scene reconstruction from a single view as maximum weight independent set

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.432459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 12542d2d-dfc0-4520-8543-8561edf02f2d · outbound

This paper cites an unresolved cited work.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Unresolved cited work

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.461175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8105472a-a8af-4d15-a6f4-ec10e02cf630 · outbound

This paper cites In that caseS(A) = (x 0 + ker(B))∩(0,1) n is the intersection of an affine space with the open unit cube.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS In that caseS(A) = (x 0 + ker(B))∩(0,1) n is the intersection of an affine space with the open unit cube

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.401689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 0b8f4681-901b-478e-94f5-9d46c10ae305 · outbound

This paper cites Most GN atomic spectra areempty.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Most GN atomic spectra areempty

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.405853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ad052db5-49aa-4437-8e74-015436bc3b8c · outbound

This paper cites an unresolved cited work.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Unresolved cited work

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.409829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5144ee4a-5bf3-4c91-9f30-f8331bfd9372 · outbound

This paper cites The next iteratey k+1 is obtained by minimizing the majorant.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS The next iteratey k+1 is obtained by minimizing the majorant

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.414414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 42c46de5-1592-4322-8254-991d2342d216 · outbound

This paper cites Forγ <1, the energy is strictly convex with a unique minimum atx= 1/2.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS Forγ <1, the energy is strictly convex with a unique minimum atx= 1/2

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T09:32:08.473471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 76e0cca4-b414-4006-bb51-e4b9560340a8 · outbound

This paper cites As show by the Tilted Simplex Motzkin-Straus Theorem 6,w 0 ̸= 1corresponds to tilting the sim- plex.

Graph Normalization: Fast Binarizing Dynamics for Differentiable MWIS As show by the Tilted Simplex Motzkin-Straus Theorem 6,w 0 ̸= 1corresponds to tilting the sim- plex

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-05-26T09:32:08.513868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers