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Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 100 of 150 outbound references and 4 inbound Pith citation observations for arXiv:2501.13597.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-10T15:49:55.969014Z
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Pith citing papers itemized under the disclosed page cap.
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100 of 150 outbound references displayed
External citation measurements
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A Comprehensive Survey on Spectral Clustering with Graph Structure Learning A comprehensive survey of fast graph clustering,
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A Comprehensive Survey on Spectral Clustering with Graph Structure Learning A comprehensive review of clustering tech- niques in artificial intelligence for knowledge discovery: Taxonomy, challenges, applications and future prospects,
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A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Scalable graph-based clustering with nonnegative relaxation for large hyperspectral image,
Reference 92
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Observation 96ebefee-fbb0-4fe7-9a71-65ff213831db · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Robust landmark graph-based clustering for high-dimensional data,
Reference 93
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Observation 38349cbb-3636-462f-8ac1-6eb8b40be284 · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning FGC SS: Fast graph clustering method by joint spectral embedding and improved spectral rotation,
Reference 94
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Observation 0740c623-db5b-4942-a42b-5c2dbf377c08 · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Reskm: a general framework to accelerate large-scale spectral clustering,
Reference 95
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Observation 00a3910f-e01b-4f31-a874-d8d2a2f1f2e8 · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Fast opti- mization of spectral embedding and improved spectral rotation,
Reference 96
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Observation a9db6e5a-fe2a-4c9c-818b-128efc1a50ec · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Spectral clustering with linear embedding: A discrete clustering method for large-scale data,
Reference 97
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Observation e8f5e0f5-dc37-4a0a-b65d-3fae2f937f89 · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning On the effect of hyperedge weights on hypergraph learning,
Reference 98
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Observation efea39fd-46ec-4b20-9e11-7fe1989c292b · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning A provable generalized tensor spectral method for uniform hypergraph partitioning,
Reference 99
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Observation 4773f51a-516a-42c3-9704-49b29e404a36 · outbound
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning Hypergraph learning with hyperedge ex- pansion,
Reference 100
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Observation 2b211a4d-d3aa-48d3-bf28-8e84524a8a1c · inbound
A Markov Categorical Framework for Language Modeling A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Reference 4
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Observation c11b3a47-0b7f-4163-be18-100ae5e9e95e · inbound
Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Reference 5
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Observation 54a313ee-dff2-4293-bc33-8c041144c991 · inbound
Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Reference 5
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Observation 11ff7d92-d459-401d-88b2-afb328d703e7 · inbound
Accurate and Efficient MCMC for Latent Position Models A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Reference 1
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