Paper Citation Record · LEDGER

An Enhanced Model-based Approach for Short Text Clustering

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.13793.

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

pith.paper-citation-record.v1
2507.13793 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:22:44.905345Z

measured 46 of 46 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

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e36a9030-031c-437d-8c7e-246c1d187865 · outbound

This paper cites Consensus clustering based on a new probabilistic rand index with application to subtopic retrieval,.

An Enhanced Model-based Approach for Short Text Clustering Consensus clustering based on a new probabilistic rand index with application to subtopic retrieval,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:46.077490Z

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Observation 3aec522d-d261-4360-a270-8bf9455c2007 · outbound

This paper cites Streamcube: Hierarchical spatio-temporal hashtag clustering for event exploration over the twitter stream,.

An Enhanced Model-based Approach for Short Text Clustering Streamcube: Hierarchical spatio-temporal hashtag clustering for event exploration over the twitter stream,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:46.048965Z

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Observation 097185e6-1a85-45ac-b879-ed34de1f15ed · outbound

This paper cites Sumblr: continuous summarization of evolving tweet streams,.

An Enhanced Model-based Approach for Short Text Clustering Sumblr: continuous summarization of evolving tweet streams,

Reference 3

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Observation 72d0bb36-f8fa-4c97-b4cf-bb1454cb4336 · outbound

This paper cites Content-based recommendation systems,.

An Enhanced Model-based Approach for Short Text Clustering Content-based recommendation systems,

Reference 4

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Observation a21aaa49-4a93-4dc0-8c13-c5a65152a7b3 · outbound

This paper cites A survey of clustering data mining techniques,.

An Enhanced Model-based Approach for Short Text Clustering A survey of clustering data mining techniques,

Reference 5

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Observation 036c7f6f-8a6e-4f12-8402-e1279472c2cc · outbound

This paper cites A survey of text clustering algorithms,.

An Enhanced Model-based Approach for Short Text Clustering A survey of text clustering algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.946304Z

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Observation 369f77bd-dbb4-40ac-a3a2-a390a1ad1f19 · outbound

This paper cites Concept decompositions for large sparse text data using clustering,.

An Enhanced Model-based Approach for Short Text Clustering Concept decompositions for large sparse text data using clustering,

Reference 7

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Observation d3e01263-ddbb-4821-8bf5-7e555a0f8fb1 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

An Enhanced Model-based Approach for Short Text Clustering Modern hierarchical, agglomerative clustering algorithms

Reference 8

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Observation abc0d2a0-e00f-4c12-a7c7-bf4561c4848b · outbound

This paper cites A vector space model for automatic indexing,.

An Enhanced Model-based Approach for Short Text Clustering A vector space model for automatic indexing,

Reference 9

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Observation 65239f71-4315-4353-9bd0-002d4376f0db · outbound

This paper cites Text clas- sification from labeled and unlabeled documents using em,.

An Enhanced Model-based Approach for Short Text Clustering Text clas- sification from labeled and unlabeled documents using em,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.880547Z

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Observation 30f56e4b-7db2-4c79-a394-5f439d074a84 · outbound

This paper cites Latent dirichlet allocation,.

An Enhanced Model-based Approach for Short Text Clustering Latent dirichlet allocation,

Reference 11

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Observation e4a23ba2-f927-4807-b314-d3583deb92ca · outbound

This paper cites A dirichlet multinomial mixture model-based approach for short text clustering,.

An Enhanced Model-based Approach for Short Text Clustering A dirichlet multinomial mixture model-based approach for short text clustering,

Reference 12

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Observation 7a318e9e-db78-4baa-b3f5-a13d5c60535a · outbound

This paper cites McLachlan and K.

An Enhanced Model-based Approach for Short Text Clustering McLachlan and K

Reference 13

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Observation 54877139-7e8a-4db3-9627-0d4a69c4dc5e · outbound

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An Enhanced Model-based Approach for Short Text Clustering Unresolved cited work

Reference 14

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Observation 9d7ef495-7ba0-4736-8d11-e75549d0dceb · outbound

This paper cites Parameter estimation for text analysis,.

An Enhanced Model-based Approach for Short Text Clustering Parameter estimation for text analysis,

Reference 15

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Observation a8e0a126-dbbf-4d9b-a52d-ae0dd12f113b · outbound

This paper cites Dirichlet process,.

An Enhanced Model-based Approach for Short Text Clustering Dirichlet process,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.778024Z

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Observation 2e43ab66-95b9-4275-bf21-1de06eef588a · outbound

This paper cites V oronoi diagrams,.

An Enhanced Model-based Approach for Short Text Clustering V oronoi diagrams,

Reference 17

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Observation dfce10cb-172d-413a-96e5-fd937461bbdc · outbound

This paper cites Improving multi-class text classification with naive bayes,.

An Enhanced Model-based Approach for Short Text Clustering Improving multi-class text classification with naive bayes,

Reference 18

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Observation 520fe8c0-9944-4253-a735-42eec405d3d5 · outbound

This paper cites Modeling word burstiness using the dirichlet distribution,.

An Enhanced Model-based Approach for Short Text Clustering Modeling word burstiness using the dirichlet distribution,

Reference 19

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Observation 7615b4e3-5852-481b-8b04-84ad8dc5952e · outbound

This paper cites Tackling the poor assumptions of naive bayes text classifiers,.

An Enhanced Model-based Approach for Short Text Clustering Tackling the poor assumptions of naive bayes text classifiers,

Reference 20

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Observation 2cd98905-3570-4c5a-9304-a0f746aa0d55 · outbound

This paper cites Clustering documents with an exponential-family approxi- mation of the dirichlet compound multinomial distribution,.

An Enhanced Model-based Approach for Short Text Clustering Clustering documents with an exponential-family approxi- mation of the dirichlet compound multinomial distribution,

Reference 21

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Observation 6d62f021-07c5-4033-8d38-3df20d36565b · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

An Enhanced Model-based Approach for Short Text Clustering SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 22

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Observation 0a6ff7d5-48b5-4b07-a232-25ee60512cce · outbound

This paper cites Latent dirichlet allocation,.

An Enhanced Model-based Approach for Short Text Clustering Latent dirichlet allocation,

Reference 23

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Observation 6195d22a-0614-499a-a75b-5e514c19b7d4 · outbound

This paper cites A biterm topic model for short texts,.

An Enhanced Model-based Approach for Short Text Clustering A biterm topic model for short texts,

Reference 24

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Observation 4290771e-3536-42a6-bcff-559a68c03722 · outbound

This paper cites Word network topic model: a simple but general solution for short and imbalanced texts,.

An Enhanced Model-based Approach for Short Text Clustering Word network topic model: a simple but general solution for short and imbalanced texts,

Reference 25

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Observation 351042dd-5768-4d3c-8e13-56c804554207 · outbound

This paper cites Topic modeling of short texts: A pseudo-document view,.

An Enhanced Model-based Approach for Short Text Clustering Topic modeling of short texts: A pseudo-document view,

Reference 26

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Observation a7425844-0d4c-4a93-a46a-d73c41a9f297 · outbound

This paper cites A latent concept topic model for robust topic inference using word embeddings,.

An Enhanced Model-based Approach for Short Text Clustering A latent concept topic model for robust topic inference using word embeddings,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.579607Z

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Observation 379bbf3c-5a46-49fd-bf73-ec8f2f627dd1 · outbound

This paper cites Supporting clustering with contrastive learning,.

An Enhanced Model-based Approach for Short Text Clustering Supporting clustering with contrastive learning,

Reference 28

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Observation 578a2e57-e31c-49bc-8d04-fc3d88d91fc6 · outbound

This paper cites Clustering of short texts based on dynamic adjustment for contrastive learning,.

An Enhanced Model-based Approach for Short Text Clustering Clustering of short texts based on dynamic adjustment for contrastive learning,

Reference 29

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Observation 81db43fe-78f5-47d3-a64b-2357d199ebc7 · outbound

This paper cites Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering.

An Enhanced Model-based Approach for Short Text Clustering Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

Reference 30

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Observation 54edd5da-ebe3-4f35-8618-dd17f5fce926 · outbound

This paper cites A multi-view clustering algorithm for short text,.

An Enhanced Model-based Approach for Short Text Clustering A multi-view clustering algorithm for short text,

Reference 31

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Observation c2de6864-d52f-4b9c-94e7-b7d64ec93638 · outbound

This paper cites Visualizing data using t-sne,.

An Enhanced Model-based Approach for Short Text Clustering Visualizing data using t-sne,

Reference 32

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An Enhanced Model-based Approach for Short Text Clustering Unresolved cited work

Reference 33

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Observation fc957e03-62f2-48c0-bb9b-0f11930341f0 · outbound

This paper cites Document clustering via dirichlet process mixture model with feature selection,.

An Enhanced Model-based Approach for Short Text Clustering Document clustering via dirichlet process mixture model with feature selection,

Reference 34

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Observation 69aac705-ace7-4cd8-ae9d-8dcdcd30a37f · outbound

This paper cites Dirichlet process mixture model for document clustering with feature partition,.

An Enhanced Model-based Approach for Short Text Clustering Dirichlet process mixture model for document clustering with feature partition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.420876Z

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Observation e4c29ee7-9a80-4854-8270-9983e9f1e7c0 · outbound

This paper cites Data clustering: 50 years beyond k-means,.

An Enhanced Model-based Approach for Short Text Clustering Data clustering: 50 years beyond k-means,

Reference 36

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Observation b51f1471-277a-453f-bd03-942aec157ed7 · outbound

This paper cites Comparative study of clustering techniques for short text documents,.

An Enhanced Model-based Approach for Short Text Clustering Comparative study of clustering techniques for short text documents,

Reference 37

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Observation 5424838a-7e23-44c4-8882-51011e7f4a3d · outbound

This paper cites Clustering by passing messages between data points,.

An Enhanced Model-based Approach for Short Text Clustering Clustering by passing messages between data points,

Reference 38

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This paper cites Clustering short texts using wikipedia,.

An Enhanced Model-based Approach for Short Text Clustering Clustering short texts using wikipedia,

Reference 39

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Observation ae630db8-73b3-4acd-b1d7-55036f635ba1 · outbound

This paper cites Probabilistic latent semantic indexing,.

An Enhanced Model-based Approach for Short Text Clustering Probabilistic latent semantic indexing,

Reference 40

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Observation 34153270-381c-433d-a06a-e12ba1597dc8 · outbound

This paper cites Short text clustering via convolutional neural networks,.

An Enhanced Model-based Approach for Short Text Clustering Short text clustering via convolutional neural networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.325047Z

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Observation 52072047-7140-45ee-9263-4bbd0c230c09 · outbound

This paper cites Deep feature-based text clustering and its explanation,.

An Enhanced Model-based Approach for Short Text Clustering Deep feature-based text clustering and its explanation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.303606Z

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Observation 1c5dc6af-7c1b-4fca-a203-0fb4904c71f2 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

An Enhanced Model-based Approach for Short Text Clustering Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 43

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Observation 0c612a6d-fbd5-433c-ac4b-102cbb67e9a2 · outbound

This paper cites Attentive representation learn- ing with adversarial training for short text clustering,.

An Enhanced Model-based Approach for Short Text Clustering Attentive representation learn- ing with adversarial training for short text clustering,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.278551Z

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Observation 37a8d44e-886f-428a-8aa8-9bd615552113 · outbound

This paper cites Attention is all you need,.

An Enhanced Model-based Approach for Short Text Clustering Attention is all you need,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.259381Z

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Observation 3a2a340e-84d5-4910-a36a-c9ae5813a392 · outbound

This paper cites Deep em- bedding clustering based on contractive autoencoder,.

An Enhanced Model-based Approach for Short Text Clustering Deep em- bedding clustering based on contractive autoencoder,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:22:45.241374Z

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.

Pith citing papers

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