Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:21.460456Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2506.05495.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:21.460456Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
77 of 77 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 020344df-0095-46d9-b10d-354eea1ab256 · outbound
Learning-Augmented Hierarchical Clustering Hierarchical clustering: A 0.585 revenue approximation
Reference 1
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Learning-Augmented Hierarchical Clustering Online metric algorithms with untrusted predictions
Reference 3
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Learning-Augmented Hierarchical Clustering Chen, and Piotr Indyk
Reference 4
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Learning-Augmented Hierarchical Clustering Hierarchical clustering in graph streams: Single-pass algorithms and space lower bounds
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Learning-Augmented Hierarchical Clustering 0(sqrt (log n)) approximation to SPARSEST CUT in \ o (n\( ^ 2 \)) time
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Learning-Augmented Hierarchical Clustering Aho, Yehoshua Sagiv, Thomas G
Reference 11
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Learning-Augmented Hierarchical Clustering On the compatibility of quartet trees
Reference 12
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Learning-Augmented Hierarchical Clustering Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, and Samson Zhou
Reference 13
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Learning-Augmented Hierarchical Clustering Learning-augmented maximum independent set
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Learning-Augmented Hierarchical Clustering The primal-dual method for learning augmented algorithms
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Learning-Augmented Hierarchical Clustering Advice querying under budget constraint for online algorithms
Reference 16
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Learning-Augmented Hierarchical Clustering Approximate hierarchical clustering via sparsest cut and spreading metrics
Reference 17
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Observation d45c3a3a-62f0-4a92-a04f-0ba425149954 · outbound
Learning-Augmented Hierarchical Clustering Approximate hierarchical clustering via sparsest cut and spreading metrics
Reference 18
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Learning-Augmented Hierarchical Clustering Hierarchical clustering better than average-linkage
Reference 19
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Learning-Augmented Hierarchical Clustering Hierarchical clustering for euclidean data
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Learning-Augmented Hierarchical Clustering Learning-augmented approximation algorithms for maximum cut and related problems
Reference 21
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Learning-Augmented Hierarchical Clustering Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David P
Reference 22
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Learning-Augmented Hierarchical Clustering Inapproximability for Local Correlation Clustering and Dissimilarity Hierarchical Clustering
Reference 23
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Learning-Augmented Hierarchical Clustering Chen, Piotr Indyk, and Tal Wagner
Reference 24
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Learning-Augmented Hierarchical Clustering Hierarchical clustering: Objective functions and algorithms
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Learning-Augmented Hierarchical Clustering On Approximability of $\ell_2^2$ Min-Sum Clustering
Reference 26
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Observation 25a28e73-ca52-43b0-927e-35bb5674a4ce · outbound
Learning-Augmented Hierarchical Clustering Triplet reconstruction and all other phylogenetic csps are approximation resistant
Reference 27
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Observation 1d22c34a-5854-4c68-9e3b-368ca32d4ff3 · outbound
Learning-Augmented Hierarchical Clustering Hierarchical clustering with structural constraints
Reference 28
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Observation 2903afe3-07c3-43d9-ad19-e100a3ede3f8 · outbound
Learning-Augmented Hierarchical Clustering Chen, Sandeep Silwal, Ali Vakilian, and Fred Zhang
Reference 29
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Observation 59fa90b5-d378-48a7-a230-5b12c0fd247f · outbound
Learning-Augmented Hierarchical Clustering Bisect and conquer: Hierarchical clustering via max-uncut bisection
Reference 30
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Observation e7bfc780-7242-4691-b803-1a6d1f86bb20 · outbound
Learning-Augmented Hierarchical Clustering A cost function for similarity-based hierarchical clustering
Reference 31
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Learning-Augmented Hierarchical Clustering On the price of differential privacy for hierarchical clustering
Reference 32
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Learning-Augmented Hierarchical Clustering Faster matchings via learned duals
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Observation 0dc34c72-f8e1-4445-b0c4-2655a7aead0f · outbound
Learning-Augmented Hierarchical Clustering Predictive flows for faster ford-fulkerson
Reference 34
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Learning-Augmented Hierarchical Clustering Learning-augmented streaming algorithms for approximating MAX-CUT
Reference 35
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Learning-Augmented Hierarchical Clustering Adaptive hierarchical clustering using ordinal queries
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Learning-Augmented Hierarchical Clustering Nguyen, Jung Hoon Seo, Ryan S
Reference 38
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Observation f72f0d28-fe1a-490a-91a9-648a30ff47c4 · outbound
Learning-Augmented Hierarchical Clustering Efficient algorithms for divisive hierarchical clustering with the diameter criterion
Reference 39
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Reference 40
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Reference 41
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Reference 42
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Reference 43
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Learning-Augmented Hierarchical Clustering Learning-based frequency estimation algorithms
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Reference 45
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Learning-Augmented Hierarchical Clustering Dimensionality reduction for wasserstein barycenter
Reference 46
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Learning-Augmented Hierarchical Clustering Kearney, and Ming Li
Reference 48
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Reference 49
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Reference 50
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Learning-Augmented Hierarchical Clustering Chi, Jeffrey Dean, and Neoklis Polyzotis
Reference 51
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Reference 52
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Reference 53
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Reference 54
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Reference 56
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Reference 58
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Reference 60
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Reference 63
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Reference 64
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Reference 65
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Reference 66
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Learning-Augmented Hierarchical Clustering Procopiuc, and Claudio Gentile
Reference 67
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Learning-Augmented Hierarchical Clustering A comparison of document clustering techniques
Reference 68
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Learning-Augmented Hierarchical Clustering Improved learning-augmented algorithms for the multi-option ski rental problem via best-possible competitive analysis
Reference 69
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Learning-Augmented Hierarchical Clustering Breast cancer classification and prognosis based on gene expression profiles from a population-based study
Reference 70
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Reference 71
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Learning-Augmented Hierarchical Clustering A linear time approximation scheme for maximum quartet consistency on sparse sampled inputs
Reference 72
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Learning-Augmented Hierarchical Clustering Goodfellow, and Rob Fergus
Reference 73
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Learning-Augmented Hierarchical Clustering Who belongs in the family? Psychometrika , 18(4):267--276, 1953
Reference 74
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Learning-Augmented Hierarchical Clustering Hierarchical grouping to optimize an objective function
Reference 75
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Reference 76
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Learning-Augmented Hierarchical Clustering Optimal robustness-consistency trade-offs for learning-augmented online algorithms
Reference 77
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No inbound Pith citation observations are available.