Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:55:00.014770Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.28635.
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 2026-08-03T00:55:00.014770Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
31 of 31 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 52aa1218-5ed7-4113-9530-823ecbd223e6 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Biometrics 49(3), 803–821 (1993)
Reference 1
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Observation f7cfedf7-b1bd-427a-9535-db6968280a39 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM ACM Computing Surveys55(7), 1–39 (2022)
Reference 2
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Observation 9d2602d3-d582-431a-b50d-1139a20ec17d · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM In: ICDMW
Reference 3
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Observation a7b0a706-2ac0-480e-830d-0ad76eca9f7e · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 4
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Observation 97ed883f-76b4-4dca-afb0-6f224087017b · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Journal of the Royal Statistical Society: Series B39(1), 1–22
Reference 5
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Observation edc047f7-3077-4d01-88be-c35f419f3392 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Advances in neural information processing sys- tems27(2014)
Reference 6
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Observation 822e2a42-eac2-4edd-afbf-7d4e21fbca9f · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Pattern Recognition36(2), 463–473 (2003)
Reference 7
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Observation 6fe27d16-eaec-4699-9e4c-8e6996410620 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM John Wiley & Sons (2013)
Reference 8
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Observation 9f081e26-edb9-41d4-91cf-7112d8bd80f4 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 9
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Observation 959e4d42-36d0-4250-bf97-6c21a0efeffc · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Frontiers in Applied Mathematics and Statistics5(2020)
Reference 10
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Observation 0ced5d60-e6b0-48f6-8d90-113ef763575c · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Advances in Data Analysis and Classification pp
Reference 11
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Observation b4347872-1e7a-41fe-9c68-0a142f430bad · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 12
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Observation 3fea4915-d63b-45b8-80fc-c7b59927ce71 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 13
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Observation ec0f49fc-5c95-4b76-a511-63c4e90b166b · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 14
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Observation 64cc2025-7797-491d-99f7-324fdf6d0af7 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 15
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Observation ffaf0515-16ba-4fe4-ad36-a03d13a2ca01 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 16
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Observation 12037c01-33e9-4263-ba58-f7b2d4e2cb6f · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM In: Vlachos, A., Augenstein, I
Reference 17
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Observation 463afceb-7fa2-4bb1-8eea-100b66dbb5a3 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM In: Inter- national Symposium on Intelligent Data Analysis
Reference 18
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Observation 597aa2e2-c3c2-4ee1-ab15-d221a2b28e64 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM In: Companion proceedings of the web conference 2020
Reference 19
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Observation 67e7d95f-23e7-41f7-9a9e-48b6fd7a2ec3 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Khalal et al
Reference 20
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Observation aceadec7-ca97-468b-bdef-fc803749ce05 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM In: Pro- ceedings of the 2017 SIAM International Conference on Data Mining
Reference 21
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Observation 204a63b3-85cd-462a-bbb4-7efb7de013eb · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Data Mining and Knowledge Discovery31, 1218–1241 (2017)
Reference 22
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Observation d57260b0-ca1f-4857-b335-862c89f9a403 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Advances in Data Analysis and Classification 13, 591–620 (2019)
Reference 23
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Observation 18e78c96-db90-4b2f-a913-d1b796254406 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Nature631(8022), 755–759 (Jul 2024)
Reference 24
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Observation b574d350-4e38-43e6-a73a-9dbc1a7e3e4d · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Psychological methods9(3), 386 (2004)
Reference 25
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Observation b14528f5-c82d-472f-9d3c-fcdd8e69ced1 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Journal of machine learning research3(Dec), 583–617 (2002)
Reference 26
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Observation 38d1fdf2-507f-47ae-8ec1-faf19d76303a · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Halsted Press book
Reference 27
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Observation 9ad3f868-0bc7-438b-8370-8306c65ab583 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM In: the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
Reference 28
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Observation 62c8626b-6bea-43c9-80b7-b25563245e5b · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Unresolved cited work
Reference 29
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Observation f1bdf595-74b4-4236-a3d4-d27c09f3ee97 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM Journal of the American Statistical Association77(380), 841–847 (1982)
Reference 30
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Observation 5922a9a9-8648-4cf7-b116-e7b7d874fc53 · outbound
Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition
Reference 31
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No inbound Pith citation observations are available.