Pith. sign in

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 2026-08-06T06:34:29.942622+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=sha256:80f4a01dd3fb32ae7a05e862b338631efc25e9e68f6c26affed63679c7389dcd

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.610871Z digest=sha256:1cbca5bfef55bf81d5a767bf696b890504f29e3af96634248d1f8655c531545a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.615279Z digest=sha256:1a85789c74d30cdf3c2a93d0712bdd4c73296ab57ff6601368421e11c85b492a

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=sha256:837ecc79cd53fe8c5ce9d769e202511bfd52e223f809f658147a9ceb79f7ffd8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.623978Z digest=sha256:fe70968c7e7cb9f4a2b112237f4626b76681792c0c98902825910bf0c9dd0ef7

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=sha256:296183e62ec3460a0fe46c37736c290475896fadefc3daf25d7819f12a0b6bf0

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:d2e6f24fed773fe1931d8311ebc811c584df867b134f8a12455f4f9aa51bd591

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:e32d124629a7ef781bffde5f167f938f8dc791c26833fc8d7030c69fade33426

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=sha256:9a32e5e827bda03ea83b7cb2a48904ccb035159666919fbed63fd1b10d97d8d4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.645569Z digest=sha256:02db114796cc126dd92b0c072960c87af9a85f43f22f139c8f897e233c249624

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.649666Z digest=sha256:e6d2566ca2b15244e465a6a41c5d0fd3a52d95678cd3bcdd0da8ce22a356d424

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.653485Z digest=sha256:c07c1b3c8b229c7681fec014521ee983fbbe5a503ee08c29d54cf314948ed7cc

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=sha256:87779371462b24bf32c13b42fca4e3c35de742ae38e61cb2d422e3b2e4fa44ab

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.661572Z digest=sha256:24fad70054838eb9386c5bb46d954b0e51a27ca2bef6ee123e60357ba16eca79

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.665537Z digest=sha256:90dda87f00bd68ded5d3019f0df56fd2e08ab4e22ad6876ec0c5a05ef4b2a5a4

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=sha256:1db4a12a5d434259ae85b607ae5409bf7b20bfa98bc8ddbee5db26e11f30bcc2

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:a63a31f1ba95ea126e42d1cd74b1183fe669f0f2eb7031c03d4c7bbea26aa350

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.682598Z digest=sha256:d69c2507def7210569c70c72921401114a5e08d311e54d00eb00ac5d52f6f6c8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.686915Z digest=sha256:751e9ef09c745580b1304e730dbfcfa7a195dd335f15d959319687242dc8c24b

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:d9bc78e7cc87303fe1e33c39bb2947924f2569b85f86b4962d7f44d798343c7a

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:ba50b12fe39a2bf0a558641a9727d61df7fbdfecf4cc8e9e2a0a1a17bc5a6819

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.699732Z digest=sha256:7ac56bc1626c13157353ccfefb2cc96eec15d904ca784d4ffa472dbcd7195da0

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=sha256:1c7cf07d63ab1f82b7ea55da72955fae75e3e62880d353c074d86ca9501b82a5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.707741Z digest=sha256:4be0978f0f1e5155d1f389dac4a5646b92186ff6d20ce0a20515ab44c8fd2c77

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.711947Z digest=sha256:7a8013da694be7806166dae23eb4aa7b192f3f3f35b7b0d6442bf0edaea100a4

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=sha256:755865b9cb0dbb4d528cc4aa804b2d4dfefb0741d8334a103fef2a93e026fd69

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.720634Z digest=sha256:8fade2e9df701ebfb8c393c78b216f653bf4065bf6933e9b1709c2a6e80e9b84

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=sha256:64fe2ac218875be79db3d80a8fd7007feda548d832f52c7e124fe37320f9151e

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=sha256:40a99cfc2db491fb97188fecd4142609e46bdcac93f772b76784a359b1180456

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.733730Z digest=sha256:4fc414eb9ef270e53596542598b1591064260b68194c23594d49cfb322e11fa5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.737643Z digest=sha256:145b2e7570b4b973937891dfab910766c6ef8f56f83701ef2352d95623d8abd7

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.742392Z digest=sha256:5e93f7cb1441b61f575590213887d0c5297239cf7f49c307ef22afbca21f2d09

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:bc8bfc501655f1b564c8a35e565d6b4fdb4179b68b5be939abba72a75a5102f4

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=sha256:1f537d30d371b3a40b8ace77d1ba1fc40c4d5c0fcbcf5873ff8d10fd97ceb69c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.754958Z digest=sha256:b81f1f1c85cdacdf52dcad8724aa98bafc584f76deb47bcdd6c700aabac4e76a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.759096Z digest=sha256:aed7204915aab262e1d1adafadc1ac99742f95399b1bb84375b47d4467317e27

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.763110Z digest=sha256:d24c17a2708a3c249bba309f7e0f06a2183b3de374a194b1a69b6fb6407034fa

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=sha256:1015fd4d35422eaf0c8bf5f1432904e41f5eceb210ca3637fb2c7a52efea3b69

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.771570Z digest=sha256:c15fc7f9ac22413b954ffcabb63b196759096e251147f708f308ea97a83b2523

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.781350Z digest=sha256:58c80169b25cb528fe7e3e69ab33586a7a6200dce620f5c8120de638874a19e5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.776191Z digest=sha256:cd8125901cb03ddd42889d5e884e2c7d0bb3bf8fc60fb3bf4f1ff19abce8dfca

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:b1f13085db2b6f1d7ba3120bf3e3aa14c2c0a5d61f2a5ec40539acdfbaf7c7de

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: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

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=sha256:725c9c3a796581bb5f7337cf0ab02d756adaa2acc77d75dcf93b1b43b329d9d9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.795073Z digest=sha256:56f3ed630e528eb2a744992e3d383687877f5e691b36627a5c99ed8539d30664

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:d77d4f3c55e8aee3069cab86e4b64b288c2722d8d4a41b46803d3afca19a3196

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=sha256:2df3b24c955183363232fd96e74c8349407ce12a0196e5d4e2b7a40549e45b8d

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

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.816144Z digest=sha256:faad3a87ad35b23141b4736f903a108292c51f7f47eee2db33ab46b1d088ed75

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=sha256:709e58ef33ea6f5e384ce6a4f323d54ad9c867932de79dc90ca0faf66d712e41

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

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.824532Z digest=sha256:b583f60270ef0d52d6a1dc2a14e67a03aaaa2a9d7d4dde679309e3af81d96d54

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=sha256:2685f7b08f3fecb14ee5c123ef4a5884deae0839b9f9c08072cbc240180c53f6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.834502Z digest=sha256:976bcf931f27e3afac481a34461cbba7569d80f185e3212e47deb6501da22153

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.829369Z digest=sha256:24ad93bbe977c6b0001ac10e0decc6575d28dd82af350e4c9f16f41237a023a5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.845618Z digest=sha256:5a01199e501cf2a19ed9328e6d7401b9b991f0fcba94e9a51d9e1d8ae4cfa86a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.839921Z digest=sha256:773cf3d2543b582418578c03a92e37de9ff74731e2685bae1a30dffb45d0a8b2

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=sha256:67db8d0e2a632ed16c6a7ee36ec4ba6c74a85a9511ce301361ed70c6794931c8

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:bdf4d7a9f6caad96a27a41ed51a5c09af7ed2bb60e5259a5873fea8e65955633

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=sha256:81b39ba5ee99398aa151538507d3af224c81ff11033bc2d5657e1c8c533b1fb3

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

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: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

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=sha256:4a414947a3b89a13616bcd24ba2d4b48bf22263afc6d937e1459f4e8df7def40

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

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.880251Z digest=sha256:a09cc317c2334fbd0f90be1565ae87c291fd73f40018a953c1b3af8d93cd5280

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.872136Z digest=sha256:face0cb28e5e942f5f70a438d85b541365467b4fe009dcbea224e48bce3e0a3d

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: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

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: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

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:cf4cc253326c5ca5c91589a9f2fd6d19c4148604a67a9ca31b14906bf3fd15c9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.889095Z digest=sha256:5124f70848d9dcb735233f6244873bc0ef914116f284a5ffddab6082c81a2398

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.906516Z digest=sha256:a5cef6ff2bbf749adf79cc8bfe36f77f96fe6bb775be0f544d4fc343e67bcfa9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.898594Z digest=sha256:3dc4193424942908a8d5744243b79fb324c2f4e6af88efd33a4a177be5512084

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=sha256:587edca40eba511138e3f3a96831d6f3756cadbfb77ba161c3ce02f30c4b3f6e

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

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.923081Z digest=sha256:3e15b2110c75b9dbed002ff3428397ef750572ae0e148cf8dad0f690332acbb7

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: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

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=sha256:6927b60ec393e017832f5901eb3ed8a7f01d5f9f27d58bcbe78136402c7bf8b3

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

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.918674Z digest=sha256:d4c0e05282c2ec741d6f7c535a566b4521079a9919c8c351f096a5d96af36424

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.940669Z digest=sha256:b25d4ded2b1aa144def0aec5f688cb9fd24ee7bee52b7b21360bb9e99bf4e468

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.927522Z digest=sha256:324b7367dcab364918acc6f705298708d9b70d0d7ccb7b1bb8e8a0cb0e636329

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.953535Z digest=sha256:6ef746b1b241d186de23a0c6e8458149d71de62f9dad6ac26131a152b87b0207

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:e67134d5d17336de42582d3ac2dc55488dc7ff31a844eb9e7202591681fb2b3d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.945202Z digest=sha256:044a473e7bc61cc71dc0b25690ac8aeae5c7448a81ed1e7f1a313fd303ecc600

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.949279Z digest=sha256:b92f9308cd7a1523fbb62e288ead5604d577bd210364333df39f55a02a55c8e2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T17:43:53.914562Z digest=sha256:9b473ea99d89c1f8767ed019b45307c80f813bb15e6e6be5f249c0d42207e00b

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:a667ce8ea68b71612927f065d045091c2d8dbc1fccbeaad51f6322cfcce02f9a

Pith citing papers

No inbound Pith citation observations are available.