Paper Citation Record · LEDGER

Regression Augmentation With Data-Driven Segmentation

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2508.01455.

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

pith.paper-citation-record.v1
2508.01455 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:39:16.578852Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

57 of 57 outbound references displayed

verified exact5
verified fuzzy28
unresolved22
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d56e1093-45d7-4905-b8fe-aec902f34caf · outbound

This paper cites write newline.

Regression Augmentation With Data-Driven Segmentation write newline

Reference 1

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Source-reported events for the cited work

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Observation 6b054c5f-e63d-4da1-a555-7fbc2fba9728 · outbound

This paper cites An introduction to outlier analysis.

Regression Augmentation With Data-Driven Segmentation An introduction to outlier analysis

Reference 2

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Observation fcc43b7d-9902-4ff7-bf1c-8d1804d913b2 · outbound

This paper cites Local distribution-based adaptive oversampling for imbalanced regression.

Regression Augmentation With Data-Driven Segmentation Local distribution-based adaptive oversampling for imbalanced regression

Reference 3

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Observation c2d4ac61-025a-4ff2-a25d-8dc01f348d90 · outbound

This paper cites SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression.

Regression Augmentation With Data-Driven Segmentation SMOGAN: Synthetic Minority Oversampling with GAN Refinement for Imbalanced Regression

Reference 4

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Observation 9f9ea009-67c4-44fb-9ef9-60477e0cb8b9 · outbound

This paper cites Alcalá-Fdez, A.

Regression Augmentation With Data-Driven Segmentation Alcalá-Fdez, A

Reference 5

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Observation cfd1a762-3036-4f5c-aa8d-ce3444c3f193 · outbound

This paper cites Ar k and Tomas Pfister.

Regression Augmentation With Data-Driven Segmentation Ar k and Tomas Pfister

Reference 6

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Source-reported events for the cited work

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Observation 83924263-f674-4104-97f0-da0d3a54f6f7 · outbound

This paper cites Wasserstein GAN.

Regression Augmentation With Data-Driven Segmentation Wasserstein GAN

Reference 7

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Source-reported events for the cited work

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Observation 084067ae-f38e-44a8-9ef9-f1e6c3dcd355 · outbound

This paper cites Mmote: A Mahalanobis distance-based oversampling approach for improving minority class classification in parkinson’s disease detection.

Regression Augmentation With Data-Driven Segmentation Mmote: A Mahalanobis distance-based oversampling approach for improving minority class classification in parkinson’s disease detection

Reference 8

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Observation 8728d8e5-85ef-4c56-b193-868397199e18 · outbound

This paper cites Branco, L.

Regression Augmentation With Data-Driven Segmentation Branco, L

Reference 9

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Observation 9fa683c0-5805-4cde-8138-b7df65714585 · outbound

This paper cites Branco, L.

Regression Augmentation With Data-Driven Segmentation Branco, L

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:24.878580Z

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Observation 2033e403-04c5-4979-832e-383f76865cc7 · outbound

This paper cites Branco, L.

Regression Augmentation With Data-Driven Segmentation Branco, L

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:24.730984Z

Source-reported events for the cited work

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Observation 69099573-43d6-4489-aa52-caf06823c9cc · outbound

This paper cites Random forests.

Regression Augmentation With Data-Driven Segmentation Random forests

Reference 12

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Source-reported events for the cited work

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Observation b23f1866-1e78-4bae-9ddd-46d979aedb3a · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 13

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Observation 9eef0d85-527f-40fb-b960-399108edd9c6 · outbound

This paper cites Camacho and F.

Regression Augmentation With Data-Driven Segmentation Camacho and F

Reference 14

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Observation 9b43b777-4097-4b49-96b2-af1e420d82e2 · outbound

This paper cites Camacho, G.

Regression Augmentation With Data-Driven Segmentation Camacho, G

Reference 15

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Observation d1f8debf-c4c9-4d1e-a663-9f921b7a2fc0 · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 16

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Observation dbe13ec2-af3f-4cce-9d67-0079c3338677 · outbound

This paper cites an unresolved cited work.

Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 17

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Observation 388cd8fb-e91a-4536-bf43-049b0351671c · outbound

This paper cites Domingos.

Regression Augmentation With Data-Driven Segmentation Domingos

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:24.007226Z

Source-reported events for the cited work

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Observation 24bb9fec-481a-4d42-8c5c-e35b90831762 · outbound

This paper cites an unresolved cited work.

Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 19

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Observation 82fc12dc-f861-45af-97bc-e8d1285b4043 · outbound

This paper cites Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning.

Regression Augmentation With Data-Driven Segmentation Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning

Reference 20

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Source-reported events for the cited work

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Observation 3f128e30-4562-4866-b569-4aa5ab9bacfc · outbound

This paper cites Mahalanobis distance and its application for detecting multivariate outliers.

Regression Augmentation With Data-Driven Segmentation Mahalanobis distance and its application for detecting multivariate outliers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:23.746168Z

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Observation 138596c9-c770-4030-860e-0731e87307c8 · outbound

This paper cites Deep Learning.

Regression Augmentation With Data-Driven Segmentation Deep Learning

Reference 22

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Observation 996931a2-d5e7-4c06-a3a7-0753cc7978b3 · outbound

This paper cites Improved training of Wasserstein GANs.

Regression Augmentation With Data-Driven Segmentation Improved training of Wasserstein GANs

Reference 23

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Observation 69455627-593a-470e-8724-f859e2aa17f0 · outbound

This paper cites an unresolved cited work.

Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 24

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Observation 5aad9cc1-f5b8-40c2-b7ca-949ff19a5e08 · outbound

This paper cites He and E.

Regression Augmentation With Data-Driven Segmentation He and E

Reference 25

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Observation 035059d4-6402-4241-afef-d2af20825d84 · outbound

This paper cites A GAN ‐based anomaly detection approach for imbalanced industrial time series.

Regression Augmentation With Data-Driven Segmentation A GAN ‐based anomaly detection approach for imbalanced industrial time series

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:23.095775Z

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Observation f47fa986-47be-42b0-ba30-f01474d2adea · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 27

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Observation 23b2e753-ddee-4fb6-8876-ee74253402be · outbound

This paper cites Sams, B.\, Nuno Dokoozlian, Luis Sanchez, and M.

Regression Augmentation With Data-Driven Segmentation Sams, B.\, Nuno Dokoozlian, Luis Sanchez, and M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:22.777709Z

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Observation a3c0e6a2-a956-4b21-8277-fb56b0f4d32f · outbound

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Regression Augmentation With Data-Driven Segmentation Krawczyk

Reference 29

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 30

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Observation 38ac2c9d-9cd0-4b9f-8cd7-f08c53b7c429 · outbound

This paper cites Gan-based imbalanced data intrusion detection system.

Regression Augmentation With Data-Driven Segmentation Gan-based imbalanced data intrusion detection system

Reference 31

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Source-reported events for the cited work

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Observation b8b772c3-3704-469a-b712-2fd60003ea8a · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 32

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Observation 83020f78-7397-4fc9-ab02-94246d3d9b56 · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 33

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Observation 0243ba7a-4a9f-4255-9edd-d685f97e3522 · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 34

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Observation 35913511-05ec-422c-8044-e46ea72db6e0 · outbound

This paper cites BAGAN: Data Augmentation with Balancing GAN.

Regression Augmentation With Data-Driven Segmentation BAGAN: Data Augmentation with Balancing GAN

Reference 35

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Source-reported events for the cited work

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Observation 9ce666b6-0b9c-46a6-9132-81327cc158c6 · outbound

This paper cites The EM algorithm and extensions.

Regression Augmentation With Data-Driven Segmentation The EM algorithm and extensions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:21.515525Z

Source-reported events for the cited work

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Observation 57dc00e9-7591-4f76-b345-01a5801fcd3e · outbound

This paper cites Moniz, L.

Regression Augmentation With Data-Driven Segmentation Moniz, L

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:21.376771Z

Source-reported events for the cited work

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Observation 836b070f-bffd-475b-b90f-942956b481d8 · outbound

This paper cites Software defect prediction using over-sampling and feature extraction based on mahalanobis distance.

Regression Augmentation With Data-Driven Segmentation Software defect prediction using over-sampling and feature extraction based on mahalanobis distance

Reference 38

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Observation 04c232f7-c076-48a0-8149-2c25de3b1324 · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 39

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Observation c39ad406-5217-4cb6-b05c-99e8e3be5b0a · outbound

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Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 40

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Observation 543ad8e5-4077-4091-b843-55f48f6e1b3d · outbound

This paper cites an unresolved cited work.

Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 41

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Observation 571d63f1-2b72-4b8d-bb4d-724a2be9ab22 · outbound

This paper cites On the use of the Gaussian mixture model and the Mahalanobis distance for fault diagnosis in dynamic components of electric motors.

Regression Augmentation With Data-Driven Segmentation On the use of the Gaussian mixture model and the Mahalanobis distance for fault diagnosis in dynamic components of electric motors

Reference 42

Resolution: verified exact; doi, observed 2026-08-06T05:39:17.022926Z

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Observation 58ff8b7a-d646-47d4-b733-e7e4feb6de8a · outbound

This paper cites Scheepens, D.\, R.

Regression Augmentation With Data-Driven Segmentation Scheepens, D.\, R

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:20.693671Z

Source-reported events for the cited work

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Observation e08c9162-7f38-4c0b-a374-d4e77c42d062 · outbound

This paper cites SMOTified - GAN for class imbalanced pattern classification problems.

Regression Augmentation With Data-Driven Segmentation SMOTified - GAN for class imbalanced pattern classification problems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:20.481277Z

Source-reported events for the cited work

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Observation d908052b-fdbf-4194-8f32-446668d6b66c · outbound

This paper cites Steininger, K.

Regression Augmentation With Data-Driven Segmentation Steininger, K

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:20.233278Z

Source-reported events for the cited work

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Observation fbb62b15-4c9d-4f7f-b08c-bd99deb0592d · outbound

This paper cites Data augmentation using GANs.

Regression Augmentation With Data-Driven Segmentation Data augmentation using GANs

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:20.077796Z

Source-reported events for the cited work

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Observation e713ff9d-9800-43bb-be69-9f9e3629f626 · outbound

This paper cites Torgo, R.

Regression Augmentation With Data-Driven Segmentation Torgo, R

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:19.939558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2733e33-5985-4c69-a861-b873056a986e · outbound

This paper cites Utility-based regression.

Regression Augmentation With Data-Driven Segmentation Utility-based regression

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:19.780016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af6857e3-8b9d-4757-af86-9f65843266d5 · outbound

This paper cites Precision and recall for regression.

Regression Augmentation With Data-Driven Segmentation Precision and recall for regression

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:19.593846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 478cb60b-cb00-4607-9eee-ab10c779fb45 · outbound

This paper cites Visualizing data using t-sne.

Regression Augmentation With Data-Driven Segmentation Visualizing data using t-sne

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:19.399615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8192533c-ab20-48c4-a771-d35f8b29f257 · outbound

This paper cites Gaussian mixture modeling by exploiting the mahalanobis distance.

Regression Augmentation With Data-Driven Segmentation Gaussian mixture modeling by exploiting the mahalanobis distance

Reference 51

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T05:39:17.591211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 181c4434-ab58-489e-87ae-61bbe8f32c51 · outbound

This paper cites Wilcoxon.

Regression Augmentation With Data-Driven Segmentation Wilcoxon

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:19.168522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 933a7ed4-71b1-448f-a18c-162c65c82995 · outbound

This paper cites an unresolved cited work.

Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 82842cf3-2794-4799-918b-59e4465e43cd · outbound

This paper cites an unresolved cited work.

Regression Augmentation With Data-Driven Segmentation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:39:18.821177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4818a74c-7a4e-46ea-97c8-70a96f4e05d9 · outbound

This paper cites Evolutionary mahalanobis distance-based oversampling for multi-class imbalanced data classification.

Regression Augmentation With Data-Driven Segmentation Evolutionary mahalanobis distance-based oversampling for multi-class imbalanced data classification

Reference 55

Resolution: verified exact; doi, observed 2026-08-06T05:39:16.808038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f98ce2b7-017c-44fb-9402-4631f840bc59 · outbound

This paper cites Phan, and Peng Chench.

Regression Augmentation With Data-Driven Segmentation Phan, and Peng Chench

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:18.642879Z

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Observation 28502fb6-e44d-4518-921b-93014febca43 · outbound

This paper cites Zhou and X.-Y.

Regression Augmentation With Data-Driven Segmentation Zhou and X.-Y

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:39:18.459607Z

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