Paper Citation Record · LEDGER

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.18833.

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

pith.paper-citation-record.v1
2606.18833 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:40:17.473435Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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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

35 of 35 outbound references displayed

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verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db4adb89-2e18-4a4c-9fef-f31c4d85b030 · outbound

This paper cites an unresolved cited work.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Unresolved cited work

Reference 1

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Observation 5547e02b-fac2-4da4-bb4e-bd4ed2efda4e · outbound

This paper cites an unresolved cited work.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Unresolved cited work

Reference 2

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This paper cites an unresolved cited work.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Unresolved cited work

Reference 3

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Observation 61b196c9-1c73-48a2-b36e-dc49deabc35c · outbound

This paper cites k-means-: A unified approach to clustering and outlier detection.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection k-means-: A unified approach to clustering and outlier detection

Reference 4

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Observation afa06e14-b542-40bf-aaba-6c014830e490 · outbound

This paper cites In: BIBM (2024).

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection In: BIBM (2024)

Reference 5

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Observation b568116f-ab30-42a8-a2ec-6f0cc3602012 · outbound

This paper cites Springer Publish- ing Company, Incorporated, 1st edition, 2007.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Springer Publish- ing Company, Incorporated, 1st edition, 2007

Reference 6

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Observation 3bebc0e4-8043-498b-a0cb-df29dd04a35c · outbound

This paper cites an unresolved cited work.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Unresolved cited work

Reference 7

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Observation 7169080f-4a22-4bd1-b3b4-ecf02a37e13a · outbound

This paper cites Semi-supervised con- strained clustering: an in-depth overview, ranked taxonomy and future research directions.Artif.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Semi-supervised con- strained clustering: an in-depth overview, ranked taxonomy and future research directions.Artif

Reference 8

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Observation e771c6b9-9d40-46f1-96e5-7afcbe49002d · outbound

This paper cites Semi- supervised clustering under a compact-cluster assumption.IEEE Transactions on Knowledge and Data Engineering, 35(5):5244–5256, May 2023.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Semi- supervised clustering under a compact-cluster assumption.IEEE Transactions on Knowledge and Data Engineering, 35(5):5244–5256, May 2023

Reference 9

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This paper cites Unsuper- vised and semi-supervised clustering via density and distance-based label propagation and assignment.Information Systems, 136: 102639, 2025.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Unsuper- vised and semi-supervised clustering via density and distance-based label propagation and assignment.Information Systems, 136: 102639, 2025

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-26T21:50:09.112855Z

Source-reported events for the cited work

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Observation 6a41120e-3cbf-445f-9f74-0c023702b4fd · outbound

This paper cites Semi-supervised hierarchical clustering via low-density sepa- ration.Knowledge and Information Systems, 68(1), March.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Semi-supervised hierarchical clustering via low-density sepa- ration.Knowledge and Information Systems, 68(1), March

Reference 11

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Observation d54048c5-0e3b-4e18-9582-a5128af710fd · outbound

This paper cites doi: 10.1007/s10115-026-02717-1.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection doi: 10.1007/s10115-026-02717-1

Reference 12

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Observation 9a7d2e89-f337-4bdd-980e-7aa6d6d79ee6 · outbound

This paper cites Kamvar, Dan Klein, and Christopher D.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Kamvar, Dan Klein, and Christopher D

Reference 13

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Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Unresolved cited work

Reference 14

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Observation 8716931e-1fe5-4858-ae95-9ad27f3c64cd · outbound

This paper cites Exhaustive.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Exhaustive

Reference 15

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Observation bb05a84c-d240-41f1-9ee3-c4ed817be8eb · outbound

This paper cites Semi-supervised density-based clustering.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Semi-supervised density-based clustering

Reference 16

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Observation f2f7c6dc-6020-4e03-be08-31b104bdfb38 · outbound

This paper cites Structured sparse subspace clustering: A unified optimization framework.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Structured sparse subspace clustering: A unified optimization framework

Reference 17

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Observation 094c2c99-8b36-414a-9e3f-30c840927a8d · outbound

This paper cites Masked image pretraining on language assisted representation.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Masked image pretraining on language assisted representation

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T21:50:09.125847Z

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Observation b4f7a724-db63-440b-b877-8b56de845b32 · outbound

This paper cites Clustering with outlier removal.IEEE Trans.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Clustering with outlier removal.IEEE Trans

Reference 19

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This paper cites Hierarchical reference sets for robust unsupervised detection of scat- tered and clustered outliers.IEEE Internet of Things Journal, 13(5): 9350–9364, 2026.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Hierarchical reference sets for robust unsupervised detection of scat- tered and clustered outliers.IEEE Internet of Things Journal, 13(5): 9350–9364, 2026

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-26T21:50:09.110132Z

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Observation 09498646-775a-4500-a8b5-11eb477c5317 · outbound

This paper cites MacQueen.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection MacQueen

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

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Observation 5d18ad01-eb47-457c-b931-3ea946c695cc · outbound

This paper cites Henry Holt and Co., Inc., USA, 1982.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Henry Holt and Co., Inc., USA, 1982

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

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Observation 885a7509-ae93-461a-9bb8-97300244bc91 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 23

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Observation 6d3967f0-471a-4e96-b816-a984bf94a045 · outbound

This paper cites Anomaly Detection using Principles of Human Perception.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Anomaly Detection using Principles of Human Perception

Reference 24

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Observation 3f67ea22-223e-4c02-b15b-ef7950bf1386 · outbound

This paper cites Pedregosa, G.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Pedregosa, G

Reference 25

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Observation aa88a086-fe9e-45e5-be7d-ba18d76f5bf5 · outbound

This paper cites Fuzzy sets in pattern recognition: Methodology and methods.Pattern Recognition, 23(1-2):121–146, 1990.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Fuzzy sets in pattern recognition: Methodology and methods.Pattern Recognition, 23(1-2):121–146, 1990

Reference 26

Resolution: verified exact; doi, observed 2026-06-26T21:50:09.130416Z

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Observation a045a807-350d-4b59-a867-781d28f5e720 · outbound

This paper cites Deep clustering: A comprehensive survey.IEEE Transactions on Neural Networks and Learning Systems, 36(4):5858– 5878, 2025.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Deep clustering: A comprehensive survey.IEEE Transactions on Neural Networks and Learning Systems, 36(4):5858– 5878, 2025

Reference 27

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Source-reported events for the cited work

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Observation c32776e9-8d36-4049-97f5-405eadcc08af · outbound

This paper cites Computing gaussian mixture models with EM using equivalence constraints.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Computing gaussian mixture models with EM using equivalence constraints

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

Source-reported events for the cited work

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Observation 0e70db12-e994-4ba1-9677-296456a23740 · outbound

This paper cites Con- strained k-means clustering with background knowledge.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Con- strained k-means clustering with background knowledge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

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Observation 16d8fa45-b5b9-467e-b47d-88ab3c864124 · outbound

This paper cites Hierarchical grouping to optimize an objective function.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Hierarchical grouping to optimize an objective function

Reference 30

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Source-reported events for the cited work

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Observation 4bd399ce-c568-4984-a50a-15ef1a49ed6d · outbound

This paper cites Girshick, and Ali Farhadi.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Girshick, and Ali Farhadi

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

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Observation 59c7db12-a03a-4058-b660-5cf51c0f771a · outbound

This paper cites Sidiropoulos, and Mingyi Hong.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Sidiropoulos, and Mingyi Hong

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

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Observation a1796f1e-8bfe-4eca-9171-c419ef1a46ba · outbound

This paper cites Lal, Jason Weston, and Bernhard Sch¨ olkopf.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Lal, Jason Weston, and Bernhard Sch¨ olkopf

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

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Observation 724133ba-d995-4be1-b1ff-d46f8ffd6b36 · outbound

This paper cites Learning from labeled and unla- beled data with label propagation.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection Learning from labeled and unla- beled data with label propagation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T21:40:17.473435Z

Source-reported events for the cited work

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Observation 3467ce0d-f099-4409-87f1-651219a69534 · outbound

This paper cites SDENK: Unbiased subspace density-k- clustering.Neurocomputing, 567:131225, 2025.

Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection SDENK: Unbiased subspace density-k- clustering.Neurocomputing, 567:131225, 2025

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-26T21:50:09.120167Z

Source-reported events for the cited work

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Pith citing papers

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