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Paper Citation Record · LEDGER

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.08867.

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

pith.paper-citation-record.v1
2411.08867 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:22:38.678911Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation c3d2cee3-9e83-45ea-aecb-e9bd6f776afb · outbound

This paper cites an unresolved cited work.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Unresolved cited work

Reference 1

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Observation 8c1c6d61-fbdb-4740-9815-9050a6bb9e5d · outbound

This paper cites Time-window based group-behavior supported method for accurate detection of anomalous users,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Time-window based group-behavior supported method for accurate detection of anomalous users,

Reference 2

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Observation 3996658a-1749-46d5-b518-5fc60ca7445f · outbound

This paper cites One-class versus binary classification: Which and when?.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles One-class versus binary classification: Which and when?

Reference 3

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Observation bf2ae549-41ff-4e1f-8785-a8d5565f4cf8 · outbound

This paper cites On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles,

Reference 4

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Observation d5c519fc-7247-416d-9c91-fe0395af4768 · outbound

This paper cites Hierarchical density estimates for data clustering, visualization, and outlier detection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Hierarchical density estimates for data clustering, visualization, and outlier detection,

Reference 5

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Observation 249634cd-a892-46bf-a1b0-2257ea0786cb · outbound

This paper cites Cavalcante Araujo Neto, A Framework for Hierarchical Density- Based Clustering Exploration.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Cavalcante Araujo Neto, A Framework for Hierarchical Density- Based Clustering Exploration

Reference 6

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Observation aef5bd2c-28e9-4929-8983-736cf799fc09 · outbound

This paper cites A novel subspace outlier detec- tion method by entropy-based clustering algorithm,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles A novel subspace outlier detec- tion method by entropy-based clustering algorithm,

Reference 7

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Observation 625a59ef-9a1d-434b-b683-6c3d9696fb45 · outbound

This paper cites Core-sg: Efficient computation of multiple msts for density-based methods,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Core-sg: Efficient computation of multiple msts for density-based methods,

Reference 8

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Observation 4cffa245-c96f-4482-bbe5-e41cc6a79357 · outbound

This paper cites A unified notion of outliers: Properties and computation.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles A unified notion of outliers: Properties and computation

Reference 9

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Observation e2dba731-02ab-4509-97fe-f72d97e613e5 · outbound

This paper cites Efficient algorithms for mining outliers from large data sets,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Efficient algorithms for mining outliers from large data sets,

Reference 10

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Observation e1c33f9a-de73-4e5b-b2cc-8c2f9794773a · outbound

This paper cites Lof: identifying density-based local outliers,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Lof: identifying density-based local outliers,

Reference 11

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Observation b3965634-41f9-4df0-bc3d-acc99f9bfd10 · outbound

This paper cites Optics: Ordering points to identify the clustering structure,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Optics: Ordering points to identify the clustering structure,

Reference 12

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Observation ffdd65f0-c161-4856-8596-147ac6131907 · outbound

This paper cites Swersky, A study of unsupervised outlier detection for one-class classification.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Swersky, A study of unsupervised outlier detection for one-class classification

Reference 13

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Observation 8a0fae4c-862e-4ede-a66b-ffe1b49ad20c · outbound

This paper cites A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies,

Reference 14

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Source-reported events for the cited work

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Observation 10f45310-071d-441e-8a78-920f522e989b · outbound

This paper cites Automatic unsupervised outlier model selection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Automatic unsupervised outlier model selection,

Reference 15

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Observation 0c305449-70be-46e4-a483-8e3ca794bdb3 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 16

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Observation 2f3c079b-1f97-4558-a6b8-86a2e10eeccb · outbound

This paper cites Effi- cient computation and visualization of multiple density-based clustering hierarchies,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Effi- cient computation and visualization of multiple density-based clustering hierarchies,

Reference 17

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Observation 2baeb909-0199-4ec4-a1e8-2ae6ea539f94 · outbound

This paper cites On the internal evaluation of unsupervised outlier detection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles On the internal evaluation of unsupervised outlier detection,

Reference 18

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Observation cc0712e1-bb99-4625-ac90-675ba98c9afb · outbound

This paper cites Synthetic dataset for outlier detection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Synthetic dataset for outlier detection,

Reference 19

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Observation 16aeabfe-f27d-4973-9ef9-abb1c216f967 · outbound

This paper cites Adbench: Anomaly detection benchmark,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Adbench: Anomaly detection benchmark,

Reference 20

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Observation 3d9e1380-5a4c-4bfd-adc2-c1cf64afa534 · outbound

This paper cites Internal evaluation of unsupervised outlier detection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Internal evaluation of unsupervised outlier detection,

Reference 21

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Observation 3168270e-e665-431f-b3dc-3129367653c4 · outbound

This paper cites Instance reduction for one-class classification,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Instance reduction for one-class classification,

Reference 22

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Observation 64bb0cd5-4f0a-4325-8e66-6f49e65cbc6b · outbound

This paper cites On evaluation of outlier rankings and outlier scores,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles On evaluation of outlier rankings and outlier scores,

Reference 23

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Observation a3bf12d9-d07e-49c6-85a5-e75859fc3c43 · outbound

This paper cites Anton and C.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Anton and C

Reference 24

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Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Unresolved cited work

Reference 25

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This paper cites Parallel cover trees and their applications,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Parallel cover trees and their applications,

Reference 26

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This paper cites Hierarchical density-based clustering using mapreduce,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Hierarchical density-based clustering using mapreduce,

Reference 27

Resolution
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This paper cites Linear regression,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Linear regression,

Reference 28

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Observation 4857c4e0-0a05-4063-9bd4-eb2c22e40e3d · outbound

This paper cites Benchmarking unsupervised outlier de- tection with realistic synthetic data,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Benchmarking unsupervised outlier de- tection with realistic synthetic data,

Reference 29

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Observation 53bf3e43-6548-4fe4-95e1-62a4d0e4d542 · outbound

This paper cites Angle-based outlier de- tection in high-dimensional data,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Angle-based outlier de- tection in high-dimensional data,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5b45fd95-def1-4669-a54c-fe08d7abb10d · outbound

This paper cites Copod: copula-based outlier detection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Copod: copula-based outlier detection,

Reference 31

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Observation 345a9927-7bba-4ca6-90c0-828286d2a6b5 · outbound

This paper cites The milky way project second data release: bubbles and bow shocks,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles The milky way project second data release: bubbles and bow shocks,

Reference 32

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Observation 51e58685-e0ac-4ea1-9a61-e6aa2c851c96 · outbound

This paper cites Aircraft atypical approach detection using functional principal component analysis,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Aircraft atypical approach detection using functional principal component analysis,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e0718a37-f1d9-4bec-90ca-41ad4fcfef7b · outbound

This paper cites Similarity- based unsupervised evaluation of outlier detection,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Similarity- based unsupervised evaluation of outlier detection,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8cb3e0ea-1794-41e8-bb5a-959283467ee5 · outbound

This paper cites Station layout optimization and route selection of urban rail transit planning: A case study of shanghai pudong interna- tional airport,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Station layout optimization and route selection of urban rail transit planning: A case study of shanghai pudong interna- tional airport,

Reference 35

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raw_fallback, observed 2026-08-12T21:22:38.736099Z

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source=pdf_text observed=2026-08-12T21:22:38.675402Z digest=sha256:5f3613bba33d622a6598ebf0f2428c857d50c588d4388e992b6da860e84f57b5

Observation e65d6e09-2817-46bd-aaaa-5224c5cb8b8f · outbound

This paper cites Learning from imbalanced data sets with weighted cross-entropy func- tion,.

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles Learning from imbalanced data sets with weighted cross-entropy func- tion,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-12T21:22:38.724480Z

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source=pdf_text observed=2026-08-12T21:22:38.678911Z digest=sha256:a43b23dbef2776257b0a0e27c50e882f562f81929e5bf6453ef3bb949cc60aad

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