Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-16T06:30:59.297886+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
  • malformed identifier5
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.606270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.606270Z digest=sha256:ed536e4476665bb52cabb50f3fe9a05c3f4f5acde763680c5ab5c0299b17b72c

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:59.271855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.610871Z digest=sha256:b586369286b0fa267ef03cb1a59ecd80c818ca2298c7140563ba571a96801b59

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:59.103440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.615279Z digest=sha256:87fd5eeb97413a3b22aa87e05e76d927b2edfdd616346101d5b0919268f45d4b

Observation cec813aa-1da5-431f-9667-c983e9118e19 · 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 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.619500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.619500Z digest=sha256:eb6e7e7258a84503ace5e7e9b1a31cdcac9714ba6f43b08a27bc42a230c0d114

Observation 05d9d306-f318-4e95-96d0-44a9eb8ae090 · 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 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:58.900335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.623978Z digest=sha256:0ca4af1d134a25db6cb8538075bf6d1da427e5de186bd59009bb858b976436e6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.628734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.628734Z digest=sha256:66278031692d6859b160d4b3df667676226adf6571d96844ec245d72f46260d4

Observation b88bdf6c-d187-4653-87b8-671cf63cd02b · 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 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.633557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.633557Z digest=sha256:f24a9f702e33a90d8e37ce95531951b3a9d0c2ff9fb6692eff3e61e329e761fd

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:43:53.637534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.637534Z digest=sha256:5bb5f3d5e394a853f2dc143c7a9f87d0413bb46e2a3074a8116ead0a6372b093

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.641538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.641538Z digest=sha256:e756997d881d3daea907d429bc05bc956ae4596bb0149ea727a2fc4b959a93c3

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T17:43:55.388061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.645569Z digest=sha256:cc1809d31a266b395d5ee05d78e1ba2c0200fb65c7ab602ad180a85315d20f02

Observation 5fee9f79-f6ce-4e19-b179-984e39fd003c · 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 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:58.733718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.649666Z digest=sha256:87208f1b96350c426d3e4ff77a3460d6864026de0608ba3527b55a32d2d17b5d

Observation e50d687d-0282-49c6-b739-df56023b57f2 · 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 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:58.550332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.653485Z digest=sha256:82d62c3f0cee77c0710f19c35d332c75e49f96c0112b3f43f99f516fccff0f49

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.657338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.657338Z digest=sha256:c2a8e6d0e376ec608c13b89f92f30c840ed74407a8b391c1246075d0b0d23438

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:58.383761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.661572Z digest=sha256:2932efb1662c4e7092f0104922b94569a4c3c473ab60728fc976d833420a9986

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

This paper cites Duda, Peter E.

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

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:43:58.212649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.665537Z digest=sha256:d6b96067ec016f9d23e0435a88b41afe3f28d639cd22f68198ad489c4e0e2f42

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.669542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.669542Z digest=sha256:4e7d92b01cf62b6cc54eb2a44fcb2846b09040498d69a2b48e43e97ee626a900

Observation c6088632-2d38-4e5b-9f20-384c1e120ba2 · 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 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.673605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.673605Z digest=sha256:1f7e58d60fd58e5ec6ea11e0d3a9d0c2b7ac4d16bc270ec82ce5c56e406223c2

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T17:43:58.041526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.682598Z digest=sha256:f5da53d95eb11af8d89cb9478978e8373131ef6255a813fc7a0c45f9ea204e33

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

This paper cites Friedman.

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

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:43:57.885731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.686915Z digest=sha256:c6bedf24f48418b025aea2174bb30f32d6f591b85a285f269915462e236566d9

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

This paper cites Bias and Fairness in Large Language Models: A Survey.

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

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.690982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.690982Z digest=sha256:de81280669d052038d5a0a96e16be3757d778bba4c2f518eead68eb8955294c0

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

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

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

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.695473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.695473Z digest=sha256:fcccc2c17f78d63da3b19da245af4bff6c9515348f43c1718f707fc8782c9ee5

Observation cf34e9bb-9fe8-49e7-9cff-532e8970f5a7 · 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 22

Resolution
verified exact
doi, observed 2026-08-06T17:43:54.086324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.699732Z digest=sha256:7229ded6e0da12ce4b66968af3f9fa73082d888ea57bc4fb99d54236cf9cc8f4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.703634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.703634Z digest=sha256:fff4470e79459fb5ab86bc301001d8e04028e6e6ffeb32434366fcf1544f034e

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

This paper cites Enlarging of the sample to address multicollinearity.

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

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:43:55.137466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.707741Z digest=sha256:ce7494b0fc8f88763d2b522f4c82dd813fb6d0ccf40d3eb073bc96d7c3e4869d

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

Resolution
verified exact
doi, observed 2026-08-06T17:43:54.070348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.711947Z digest=sha256:c162dff755a019564af7adb5e55cfd0e328024c25ad72c24257525dfed441690

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.716115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.716115Z digest=sha256:0d0613646ad2e9347cd961c13bd5f926ca463fbd21a3f467081bf981674da234

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

This paper cites Tech Lab.

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

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:43:57.747783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.720634Z digest=sha256:0dcd62a2dc9cd00f60032fe25e52c3b0c1e89b6a108b47c080c5950d9fa7c42c

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

This paper cites Generating Images with Multimodal Language Models.

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

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.724609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.724609Z digest=sha256:1e13532afc68b1acc80dd79953f6f7778f5a154749bf0b5086eb8f87cde82146

Observation a21e7800-5d77-4875-b749-55040d54b546 · outbound

This paper cites TabDDPM: Modelling Tabular Data with Diffusion Models.

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

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.729012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.729012Z digest=sha256:1e8dac7a60f05474518fdb1ffb30ebf56564c10c113f6a85e0ee722dbe95ceb2

Observation 28b2fda6-7eab-41e1-824c-f46faa389dcc · 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 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:57.647486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.733730Z digest=sha256:86e0caf7c1f7f65a418e2a009560572038470a19d916f1ae57d11f868a95d641

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

This paper cites DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room.

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:43:55.040825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.737643Z digest=sha256:f33ca4311c5472176f046542f46246d2eb60b29bec11e770449723f36176aadc

Observation 3dc0f1e4-c225-4ed9-96ff-177784c51d07 · 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 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:57.553852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.742392Z digest=sha256:00791679df912851b2686440ebca2be4e9dfda95915f78f156b2ac2f6d011e1a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.746389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.746389Z digest=sha256:1a3f7b03494202a4039a182b878bc72cfe187f5221cbc1b164599d94d732a833

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

This paper cites Split and Merge: Aligning Position Biases in LLM-based Evaluators.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.750706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.750706Z digest=sha256:c356ba68cdc005a6c3e663b7d2363219c6072b8d1df8831bffeeb09a83548408

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

This paper cites McCallum and K.

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

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:43:57.461141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.754958Z digest=sha256:cb25449ed049179e42c372536d3842345ba0f981a4165db1b2395c2a4accf77b

Observation 3cb394c7-f3ce-4fb8-bbfc-94a27a87c96a · 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 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:57.383359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.759096Z digest=sha256:c63301a68436488abe0b4690575f14ae0896e13d08f694a88b46edc232113cfb

Observation 18d9950e-8767-4e1b-8655-f616c932aa99 · 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 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:57.126646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.763110Z digest=sha256:36656175eab2c151ede0181246d6be728d1ff46b12f371def4c35db5b0591ebe

Observation ab6a7e5e-d199-4021-a39c-088abe62ab77 · 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 38

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:43:53.766886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.766886Z digest=sha256:fa402210f0b024e9fd24580e7b8dc577c8ba4bf4650fffb31c621fa125bb2f3e

Observation e3c47cb8-ecc2-453c-9d23-02fdceec63e3 · 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 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:56.954294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.771570Z digest=sha256:16342e2d3fa3d6adab83274948c0aaa8a7119da0ec475ea131c8ef3fce27c2bd

Observation 014a77b0-e9d2-433b-9b65-1f21b59c8c09 · 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 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:56.758679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.781350Z digest=sha256:8d5a57e0eb7bc6dd262d8fe2d25c56ba93c4ce73583e0623fed4a74132da219c

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:43:54.905399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.776191Z digest=sha256:60e08e6fe74d565936f024c544b83b19d14630d47c82858a13a4fdcd5ebcbb4a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.790544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.790544Z digest=sha256:9dddc238390d6e8f8cc96c376cf0997a74fc71646f7047e057ca0dccc5f63f20

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.786241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.786241Z digest=sha256:0af49f3a496330edaf4dfa65db7010bad547bd8d77e6bada6d7f9ccb87871a3b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.799537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.799537Z digest=sha256:ce4ce78d9163b9290a6bb0566183495e71f5f3782f3a186de7b205d052b819cf

Observation 07568641-6e2f-4ac2-b2ca-9676d338dc2f · 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 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:56.556448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.795073Z digest=sha256:520d709b7ea40b1a122b369d5dbf5eff4c09e3d6a8c70d94f24bef7d9a9d8f9b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.808261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.808261Z digest=sha256:c083d515ef35eae6eb946b48ee3ecafe17926417379db108bd592dcd6ca0f661

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.803815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.803815Z digest=sha256:9604a317fd8f8770546117e25f08571d0611f0f10d396fcd4c0737103cd81024

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

Resolution
verified exact
doi, observed 2026-08-06T17:43:54.044649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.816144Z digest=sha256:8a70bdb67a68d7bb325d8a423f6d84f28cdeaf6d3388931ad9f88551dfceda2f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.812126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.812126Z digest=sha256:18c0effa6725e4014d8dbb8d26e4fc884367aafbc4df62e5f6aabf88fc79d80a

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:43:54.822234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.824532Z digest=sha256:35566d890853470db8ba87fbcf89e273327d82d15defbbcc42b0d343dfb29f42

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.820503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.820503Z digest=sha256:59f328f87b269af2465981f93c258decd38a6a18fe8ebb5a5c16fdc2ca26f3f9

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

Resolution
verified exact
doi, observed 2026-08-06T17:43:54.020040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.834502Z digest=sha256:938bc3338650f28406efde37fe4d22f0bdb23ee0ebf82b6baab06e431eb8e06a

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:43:54.736218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.829369Z digest=sha256:9ba5a8ca4e2b9cb089e869dfd72bd0bfcb13ccb6d9ab9b0b8db34731208ea4b0

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:56.152803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.845618Z digest=sha256:306a465f84214b1a834c4a88d00cbee9e9e0671b8ca0b7511dc88f364a7aad9b

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:56.351969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.839921Z digest=sha256:51ecb629bd91127cb49264cc65b5cf399bc2e92f8f5d1392033441583be4d207

Observation 0242dc05-d6f6-45e7-a79d-1a5593684e44 · 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 56

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.854928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.854928Z digest=sha256:050133c413e243d69948755550db9d63b99408ea4493d05ba75a3461c47b48ad

Observation b134a428-7c58-4881-9413-7b2efed154a1 · 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 57

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.850809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.850809Z digest=sha256:8404c7c1f8391130b0bda4edcec12567688c27b15cdaba314e8ccb00c4c0c827

Observation 83e19de0-5620-4ac2-b558-8606e194b77e · 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 58

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.868168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.868168Z digest=sha256:bd2cb88f1226317aa2e994fe1192c1c043be25d2b3f9c2ec88e7d4b97237931d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.859410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.859410Z digest=sha256:592dbf563d75cc8dd42745e91d6a75d7ad5f1bd4fae320c255b57ff2ab285bd5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.864011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.864011Z digest=sha256:eb560ac17603d3d6c1f22c617b0d9c3d9f8f6a30b1525e0874e05f3e61b9b562

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:43:54.509696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.880251Z digest=sha256:3f8960fe79f7085d9f806d3646be3a9290ac396d4b41df74966a2bf22624fe97

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T17:43:54.600360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.872136Z digest=sha256:30eb8e2edb47985f8fac30d10f7a5f3a46125d6f7b0fd4acf03368ee3a3c60c5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.876143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.876143Z digest=sha256:f7c65fd91396ec918eab6c829d371756ba35abd32ce5f1c33b2db90570cc9f91

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.893783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.893783Z digest=sha256:d90ab50b27d0db4cd4aa730ec6b55be15018c6e0d9700f7767a1e900661451ed

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.884678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.884678Z digest=sha256:412fb61e4ff5115cf3b7fcbe4936333041f5d9e53f8bbbd1924593edde0f3aec

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

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:43:54.469270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.889095Z digest=sha256:78f2c5bcf61c56a7ac9b95f1817488ad5b31dbcf998e023e7b553aa27ced0fc9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:43:55.802661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.906516Z digest=sha256:f990f49ad77d45b659dc79d52a803a89b6d257d5ffcc58cb299e8fbc40befd69

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:55.995568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.898594Z digest=sha256:155e91d38a4dadc5c749cd6b8a2f31e6cafdadf5c2fbb182fe307e858da13089

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.902621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.902621Z digest=sha256:cd092c446b55f2d16b84f1a4c8139dd30b6ca753d3f5818fd06a61c7cc608e86

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:43:54.342597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.923081Z digest=sha256:3df7e612c7192955dbbd34896f5d389bfa84cd42ec48b499ebd949c9e406a965

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.910285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.910285Z digest=sha256:744d169a488eabc41cad18122bf2f42a8e5420a4dcb6eae24e7d3a0659e361cc

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:43:53.931934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:53.931934Z digest=sha256:cabaf2955846d37362c9d93d6769e70761574118beaa635aebfc73fe326f1589

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:43:54.363201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.918674Z digest=sha256:124af46ce524e2ac8942ed5bd8533e26634ad71e49224a76ea0f43d90aa4c6dd

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:43:55.622737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.940669Z digest=sha256:44182eaef313b71b722208e1036a2f22d548ef6c262b7b30982e8f3852be0a9f

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:43:54.321500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.927522Z digest=sha256:fca2027838ce7ab73e3364eb2cd277bc7185b69008062f5c6a2cefc1d1f4d22d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.953535Z digest=sha256:1741310826579a3ff9bd7072cfe0f4484c7bf366d7fae45c608cc725af0494b3

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.

source=pdf_text observed=2026-08-06T17:43:53.936245Z digest=sha256:a2d5bf5eb119061b462775d0ce2f352ac7d74389b39a6836fce262f7fef93dc9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.945202Z digest=sha256:8e39b3957fc27f78da399cff0c7b9dd24e1a898b77ad275e7e7f5d1598c6f4dc

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.949279Z digest=sha256:186a1056405796897a81a5303dc937605b8c0092c818758de3e7f1d854311144

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:43:53.914562Z digest=sha256:f5f52daa2d0631745fa8121c6c90f3970f9d5c44414fc9219511063c71924dd4

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.

source=pdf_text observed=2026-08-06T17:43:53.677611Z digest=sha256:f78f3aab919599e5fc502d1d98d75c50668322731bd1a7e6babb48d46f7f4b95

Pith citing papers

No inbound Pith citation observations are available.