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Paper Citation Record · LEDGER

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering

As of 7 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2507.10088.

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

pith.paper-citation-record.v1
2507.10088 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:53.953535Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

81 of 81 outbound references displayed

  • verified exact12
  • verified fuzzy6
  • unresolved53
  • parse uncertain0
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External citation measurements

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Outbound references

Observation b0783815-7040-43ce-84d0-98a2630c1f38 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 1

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Observation 168dac2b-2fa5-4449-be73-4ff9058ebd40 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 2

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Observation b53cc0bd-a50e-49e7-80ae-129c34617ae4 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 3

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 4

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This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 5

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Observation 886f478c-0d1b-48a0-bd7e-ce8efe4a749e · outbound

This paper cites A Survey of Data Synthesis Approaches.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering A Survey of Data Synthesis Approaches

Reference 6

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Observation b88bdf6c-d187-4653-87b8-671cf63cd02b · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 7

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Observation 79a0c5f6-5563-4a56-bbd8-0a95636bf747 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 8

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Observation e01b675f-e5df-4299-a665-2789d87dab78 · outbound

This paper cites Premise Order Matters in Reasoning with Large Language Models.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Premise Order Matters in Reasoning with Large Language Models

Reference 9

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Observation ded3651d-20a1-422d-b24d-6d27894bee78 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 11

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This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 12

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Observation 0152c6d9-dfab-4a31-a244-4a064924b5ad · outbound

This paper cites DeepSeek-V3 Technical Report.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering DeepSeek-V3 Technical Report

Reference 13

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Observation cda3bd22-10b3-4e5f-a242-d76bb89d2d50 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 14

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Observation 645f64a9-07ee-4bf2-a440-bc63ff82a877 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Duda, Peter E

Reference 15

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Observation 085c05c8-4c51-411f-bca4-5b39bbc4ae2d · outbound

This paper cites To SMOTE, or not to SMOTE?.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering To SMOTE, or not to SMOTE?

Reference 16

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Observation c6088632-2d38-4e5b-9f20-384c1e120ba2 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 17

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Observation 74a9857c-4781-489c-929f-010cebf8f2b2 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 18

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Observation 421ffdff-fa52-4ce2-9908-44d08743cd90 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Friedman

Reference 19

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Observation 4ecffbf0-0783-475e-a7c3-b963a9146042 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Bias and Fairness in Large Language Models: A Survey

Reference 20

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Observation 05509347-9b8e-4835-a7e2-838dc3c8be80 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 21

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Observation cf34e9bb-9fe8-49e7-9cff-532e8970f5a7 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 22

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Observation 43f8cee4-0ffd-417c-803b-897c165fb643 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 23

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Observation c128d2fe-4b7c-45cc-b3de-04393f50bb08 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Enlarging of the sample to address multicollinearity

Reference 24

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Observation e1a29a07-aba8-4228-8f55-2cb9f93424cd · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 25

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Observation e4874d73-8834-4651-9fba-e1d760d4457e · outbound

This paper cites Stop Oversampling for Class Imbalance Learning: A Critical Review.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Stop Oversampling for Class Imbalance Learning: A Critical Review

Reference 26

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Observation 613a9f5d-6aec-4919-a29d-88ff3b1f8ae0 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Tech Lab

Reference 27

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Observation bd6d1203-8287-4d1b-9e07-c236e12c21c2 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Generating Images with Multimodal Language Models

Reference 28

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering TabDDPM: Modelling Tabular Data with Diffusion Models

Reference 29

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Observation 28b2fda6-7eab-41e1-824c-f46faa389dcc · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 30

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Observation 6f7d4a20-ff18-4a58-a247-caaea1aaf045 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room

Reference 31

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Observation 3dc0f1e4-c225-4ed9-96ff-177784c51d07 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 32

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Observation f65df38c-2eb7-4157-b69c-04ef09460760 · outbound

This paper cites Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions

Reference 33

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Observation ca2eab54-2c32-44bf-8009-df4890752fe7 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Split and Merge: Aligning Position Biases in LLM-based Evaluators

Reference 34

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Observation 9ee7e4b8-7745-4c55-87be-dba90199ae87 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering McCallum and K

Reference 35

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Observation 3cb394c7-f3ce-4fb8-bbfc-94a27a87c96a · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 36

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Observation 18d9950e-8767-4e1b-8655-f616c932aa99 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 37

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Observation ab6a7e5e-d199-4021-a39c-088abe62ab77 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 38

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Observation e3c47cb8-ecc2-453c-9d23-02fdceec63e3 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 39

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Observation 014a77b0-e9d2-433b-9b65-1f21b59c8c09 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 40

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Observation 411cf88c-91f2-4b78-bae0-ea74c6dfa550 · outbound

This paper cites Generating Realistic Tabular Data with Large Language Models.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Generating Realistic Tabular Data with Large Language Models

Reference 41

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Observation dbf7bf68-6215-43ff-958a-3430cb4ec809 · outbound

This paper cites Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation

Reference 42

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source=pdf_text observed=2026-08-06T17:43:53.790544Z digest=sha256:e60010c10d1720c8e3f4bbf51833c338ab8bc2688c6de1da768cf456ce74e41f

Observation e008506c-986c-45fe-95a1-b9a1fe5fa804 · outbound

This paper cites Confident Learning: Estimating Uncertainty in Dataset Labels.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 43

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source=pdf_text observed=2026-08-06T17:43:53.786241Z digest=sha256:b8d2570a7939e32d84e04e2452c2de11446b81257223e24e4c15cb0359e700a1

Observation d6fc0c38-8670-45b4-90a3-b283df5ff2c1 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 44

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source=pdf_text observed=2026-08-06T17:43:53.799537Z digest=sha256:725c9c3a796581bb5f7337cf0ab02d756adaa2acc77d75dcf93b1b43b329d9d9

Observation 07568641-6e2f-4ac2-b2ca-9676d338dc2f · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-06T17:43:53.795073Z digest=sha256:4cd2ae148f75821da2071f661cc28a625a1c9f66ed86353a1d0e1c411a8ba270

Observation c32aa3ed-6ca1-43ca-9554-14e3903c7673 · outbound

This paper cites Pedregosa, G.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Pedregosa, G

Reference 46

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Observation 3bb33d70-226d-4c7d-9a66-c83e164914ee · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-06T17:43:53.803815Z digest=sha256:2df3b24c955183363232fd96e74c8349407ce12a0196e5d4e2b7a40549e45b8d

Observation 8794fcdd-2312-4195-83ab-668c9e630df2 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 48

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Observation 0c2313cc-4f78-47ae-8242-033606cfcdae · outbound

This paper cites Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect

Reference 49

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source=pdf_text observed=2026-08-06T17:43:53.812126Z digest=sha256:709e58ef33ea6f5e384ce6a4f323d54ad9c867932de79dc90ca0faf66d712e41

Observation 9c60274a-ecb6-4778-8a97-da33673a260e · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-06T17:43:53.824532Z digest=sha256:f0858b90095c660277769fce700a45d1bb3f1972cebade159ac166a911de1719

Observation 8b3997fa-4740-4c6a-b175-abeb1e9a5cfb · outbound

This paper cites Pezoulas, Dimitrios I.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Pezoulas, Dimitrios I

Reference 51

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Observation 1c59db17-9c7a-439a-b5d2-190d8a59c887 · outbound

This paper cites Janes, Neal Navani, and Mihaela van der Schaar.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Janes, Neal Navani, and Mihaela van der Schaar

Reference 52

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Observation b18410dc-6d7d-4aad-8905-b5015a7c8bd9 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 53

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Observation 2e169a37-301c-4565-b344-06c126440048 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 54

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Observation 76f7be25-6ac7-4da3-8a78-ee1e70c2b2b5 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 55

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Observation 0242dc05-d6f6-45e7-a79d-1a5593684e44 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-06T17:43:53.854928Z digest=sha256:67db8d0e2a632ed16c6a7ee36ec4ba6c74a85a9511ce301361ed70c6794931c8

Observation b134a428-7c58-4881-9413-7b2efed154a1 · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-06T17:43:53.850809Z digest=sha256:bdf4d7a9f6caad96a27a41ed51a5c09af7ed2bb60e5259a5873fea8e65955633

Observation 83e19de0-5620-4ac2-b558-8606e194b77e · outbound

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Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-06T17:43:53.868168Z digest=sha256:81b39ba5ee99398aa151538507d3af224c81ff11033bc2d5657e1c8c533b1fb3

Observation a486d356-0992-46c6-97de-f8dc77c10bbe · outbound

This paper cites Generative Artificial Intelligence: A Systematic Review and Applications.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Generative Artificial Intelligence: A Systematic Review and Applications

Reference 59

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source=pdf_text observed=2026-08-06T17:43:53.859410Z digest=sha256:a7ae3e1a849e5239ebbd46b82b8bad12bfe967d8c3806c04ea8e5ed25f7bad78

Observation 1bdbe017-a8bb-44e9-a194-e657cad487c5 · outbound

This paper cites A Tutorial on Principal Component Analysis.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering A Tutorial on Principal Component Analysis

Reference 60

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source=pdf_text observed=2026-08-06T17:43:53.864011Z digest=sha256:4a414947a3b89a13616bcd24ba2d4b48bf22263afc6d937e1459f4e8df7def40

Observation dcbfb885-ac9d-4ad4-9b46-234c98066168 · outbound

This paper cites Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory

Reference 61

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source=pdf_text observed=2026-08-06T17:43:53.880251Z digest=sha256:331d6bb6ee8b89a9615565eb655c5fe98e0f4984c9c23d6769ec0b8a755a0688

Observation 3e22f2d5-d5ce-450d-bfca-bd0b13f0cbff · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-06T17:43:53.872136Z digest=sha256:69cb624f6557354720e59ab8728523e901455abaf9e0633639fd1284f387ac5c

Observation aaa13ae3-bc3f-48d4-8204-25c1169af31c · outbound

This paper cites REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Reference 63

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source=pdf_text observed=2026-08-06T17:43:53.876143Z digest=sha256:c3f20e863e5e6a13936d26f7e704caca40d032ac1b4eca98def06e41e3274cf8

Observation a5684bfc-50b1-436c-bc04-6f42c4ab0d8b · outbound

This paper cites CodeJudge: Evaluating Code Generation with Large Language Models.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering CodeJudge: Evaluating Code Generation with Large Language Models

Reference 64

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source=pdf_text observed=2026-08-06T17:43:53.893783Z digest=sha256:b810ab9dedbadf904a2a3b4f4008f90bc00a7145aef3f0df2529329c1ec376aa

Observation 139d1d4c-88a9-4e1f-a35b-d09d3e809837 · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 65

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source=pdf_text observed=2026-08-06T17:43:53.884678Z digest=sha256:67fa15f34e68c095e8c37320e58ea1beea0f72a05e7dffe5d8ae349591511f28

Observation e5909a11-93ef-46e2-97eb-d57122d8de7b · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-06T17:43:53.889095Z digest=sha256:7459dc57a8a76250f3b445fad08d33f6da75132dbbef7d4282884ca5e84cf691

Observation 4fb87af6-3362-469a-8ca6-d33328f43267 · outbound

This paper cites Wei and Y.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Wei and Y

Reference 67

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source=pdf_text observed=2026-08-06T17:43:53.906516Z digest=sha256:5db59e520e31793058ef7fe5a774149d3207fc3311d1a9c1a6569eef174a5984

Observation e277fcb9-8892-4e24-9da5-47cb2ef61897 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-06T17:43:53.898594Z digest=sha256:7e6d28f21b82eaf0b16e686f067c02f08a8cd8120e1257ccc929281903cad364

Observation a1cc5830-96e8-4fa8-aff5-235904dd7ad0 · outbound

This paper cites DRoP: Distributionally Robust Data Pruning.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering DRoP: Distributionally Robust Data Pruning

Reference 69

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source=pdf_text observed=2026-08-06T17:43:53.902621Z digest=sha256:587edca40eba511138e3f3a96831d6f3756cadbfb77ba161c3ce02f30c4b3f6e

Observation 76ca7cf0-edb7-463f-a934-fe273e9af2cb · outbound

This paper cites Generative AI for Visualization: State of the Art and Future Directions.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Generative AI for Visualization: State of the Art and Future Directions

Reference 70

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source=pdf_text observed=2026-08-06T17:43:53.923081Z digest=sha256:cf2e012519be13249c76a2955d434707bd84974ccbe57b152cc825d7de80cd1d

Observation 6d43bf99-76a4-40b0-b52a-bae9dce2ec4b · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-06T17:43:53.910285Z digest=sha256:c4cda845f45a829188294561a304e05fc74db4b6d92204787700e0a9f015669c

Observation 4373a058-2648-4b5f-bd9a-a15bda9c8587 · outbound

This paper cites Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 72

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source=pdf_text observed=2026-08-06T17:43:53.931934Z digest=sha256:6927b60ec393e017832f5901eb3ed8a7f01d5f9f27d58bcbe78136402c7bf8b3

Observation ed000c46-ba34-4686-a0c0-5f63b2ebd20d · outbound

This paper cites Utility Theory of Synthetic Data Generation.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Utility Theory of Synthetic Data Generation

Reference 73

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source=pdf_text observed=2026-08-06T17:43:53.918674Z digest=sha256:573b0ddb2a0cc5376d5dd66225212782b07534e37a7ec19cd98a425b04153545

Observation bde681a4-b5be-44f0-9dbd-bfadf10e6054 · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-06T17:43:53.940669Z digest=sha256:2e0d791a30dc813969386d720da4505fd92f67a37f535ce783d01515af50d0d9

Observation f59b6978-a3fd-492d-b398-44301ed4d42d · outbound

This paper cites SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems

Reference 75

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 452cfb36-1343-4e87-8c4c-b417cad5023b · outbound

This paper cites an unresolved cited work.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Unresolved cited work

Reference 76

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:43:54.222225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 738c7bb7-e772-4878-92cf-dc45196505f2 · outbound

This paper cites Real-Fake: Effective Training Data Synthesis Through Distribution Matching.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.936245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 510a3c05-37d0-49dc-b0cf-0cdcf6a33239 · outbound

This paper cites Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

Reference 79

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:43:54.266799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 106a55de-89fe-49b0-b58c-4b1155a9faad · outbound

This paper cites Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack

Reference 80

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verified exact
local_arxiv, observed 2026-08-06T17:43:54.243952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 405cb323-0713-407b-a698-ea8ba4556136 · outbound

This paper cites In Advances in Neural Information Processing Systems.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering In Advances in Neural Information Processing Systems

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:43:55.702546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5c63c5e1-b91e-4884-9344-0835111c1527 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.677611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.