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Paper Citation Record · LEDGER

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.06265.

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

pith.paper-citation-record.v1
2412.06265 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:57:55.211212Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:16:57.141567Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T18:16:17.926450Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4485e9f8-60f4-46e4-acc7-af0538d52b5a · outbound

This paper cites and Pfister, T.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations and Pfister, T

Reference 1

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Observation 1045ffdc-5447-4067-a110-33cca5be8200 · outbound

This paper cites G., van Rijn, J.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations G., van Rijn, J

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 24c59f20-e598-49b3-a477-41834d715da5 · outbound

This paper cites Trompt: Towards a Better Deep Neural Network for Tabular Data.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Trompt: Towards a Better Deep Neural Network for Tabular Data

Reference 3

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Observation 098eddf9-8271-41cf-b00c-447fa2991c91 · outbound

This paper cites and Guestrin, C.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations and Guestrin, C

Reference 4

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Observation 60760460-a0ae-48e8-acc3-42047a99ea04 · outbound

This paper cites Notes from the ai frontier: Insights from hundreds of use cases.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Notes from the ai frontier: Insights from hundreds of use cases

Reference 5

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Observation 098a0478-f7f5-4dab-b29d-804b3b673f22 · outbound

This paper cites Support-vector networks.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Support-vector networks

Reference 6

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source=arxiv_source observed=2026-08-11T19:57:55.125909Z digest=sha256:7fcc0b85f48038f67312395b9df3ffe276807503affd33546131bce785e0943c

Observation 94245caa-3e72-4675-b5fa-3265a52c79d9 · outbound

This paper cites an unresolved cited work.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-11T19:57:55.129124Z digest=sha256:509e194a0e1314eef83ce0875136bab13bcc67f2bce46885553d10232fc42fd6

Observation fafeb81d-72be-47dc-b5b8-18451164bc3f · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 8

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source=arxiv_source observed=2026-08-11T19:57:55.133052Z digest=sha256:34a631c2390b94bf3e175f6618e042fdd480e588bf3dbeb74320ac60d78310d0

Observation d91df94b-8340-4a60-a316-e0fa44967627 · outbound

This paper cites TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 9

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Observation 85baaad7-8f54-4143-8428-179490845f84 · outbound

This paper cites Revisiting deep learning models for tabular data.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Revisiting deep learning models for tabular data

Reference 10

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source=arxiv_source observed=2026-08-11T19:57:55.138837Z digest=sha256:fa487d7f4f92a4fa6903fbd74f22894fbb6767bdbc4047cb0490e06f206ff4f6

Observation 8a137e93-6b0f-49b2-af2e-a52beea6b6ac · outbound

This paper cites On embeddings for numerical features in tabular deep learning.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations On embeddings for numerical features in tabular deep learning

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4e0d4de5-cb4c-4f76-97a1-9b909f97e251 · outbound

This paper cites TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling

Reference 12

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Observation f2843e57-e8d5-4628-b886-678d841ca9d4 · outbound

This paper cites M., Rasch, M.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations M., Rasch, M

Reference 13

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Observation 04217ddc-a284-42a3-978d-ec1046d0d101 · outbound

This paper cites and Porter, D.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations and Porter, D

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 275600bd-2a04-4e9e-93f3-1897abcef386 · outbound

This paper cites Tab PFN : A transformer that solves small tabular classification problems in a second.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Tab PFN : A transformer that solves small tabular classification problems in a second

Reference 15

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Observation bc3d20da-f45c-4ba5-aaa2-4e3fd0edb312 · outbound

This paper cites An introduction to statistical learning, 2013.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations An introduction to statistical learning, 2013

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dbd0df61-2e50-4ae5-b5d4-b9a744520725 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Lightgbm: A highly efficient gradient boosting decision tree

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 3a09232d-41f6-43e1-8a49-160fdab54dae · outbound

This paper cites Classification and regression by randomforest.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Classification and regression by randomforest

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d0c2e194-d1de-4112-926b-9f96bf9ff2ed · outbound

This paper cites and Hutter, F.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations and Hutter, F

Reference 19

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Observation 65f05b82-9293-417c-9194-c2b9d4ea68d6 · outbound

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Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Unresolved cited work

Reference 20

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Observation 46923127-831f-4378-b438-59998c2f24d3 · outbound

This paper cites Hacnet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Hacnet: End-to-end learning of interpretable table-to-image converter and convolutional neural network

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 880ff12e-2bf2-4cdd-b71d-7cbc7ea1df83 · outbound

This paper cites When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, 36, 2024.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, 36, 2024

Reference 22

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Observation 3019f4e6-1482-40dd-9c75-d2cf5f16c27d · outbound

This paper cites V., and Gulin, A.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations V., and Gulin, A

Reference 23

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Observation f49bf1ad-62ff-4834-af0e-16d0c0d8f355 · outbound

This paper cites A., and Tsunoda, T.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations A., and Tsunoda, T

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bb1a7702-c641-40f7-b8ce-4772f48e7756 · outbound

This paper cites P., Bishop, R., Rueckert, D., and Wang, Z.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations P., Bishop, R., Rueckert, D., and Wang, Z

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:55.438573Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c7ed0745-471b-4c59-884e-91507abff214 · outbound

This paper cites and Armon, A.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations and Armon, A

Reference 26

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source=arxiv_source observed=2026-08-11T19:57:55.188929Z digest=sha256:95ec8bb88613a11c06f273a424f743eb3bd63679432e406ce2f954c125a0360b

Observation cd44edf0-782a-4c78-a06d-a41ef9f824e2 · outbound

This paper cites B., and Goldstein, T.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations B., and Goldstein, T

Reference 27

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 31280908-61e4-49c4-a12d-c6e480ccc153 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Dropout: a simple way to prevent neural networks from overfitting

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 97b102ca-76b5-4275-bd71-86f9c584e5c4 · outbound

This paper cites Hybrid pixel-unshuffled network for lightweight image super-resolution.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Hybrid pixel-unshuffled network for lightweight image super-resolution

Reference 29

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doi, observed 2026-08-11T19:57:55.246701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c18a713d-fbc6-4bc4-9299-4ad5a593e629 · outbound

This paper cites A., Xiao, C., and Koh, E.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations A., Xiao, C., and Koh, E

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:55.406863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:57:55.201987Z digest=sha256:6ffddbfb974280a86001d32ed073c66fcda452818bd3ff4c6e4fc805cb50a148

Observation bc0901f8-8cf5-47a9-9afe-2cd06afacc7c · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 31

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Observation e600185c-b5c3-4977-87c1-8db39f6eb11c · outbound

This paper cites A., Doroshow, J.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations A., Doroshow, J

Reference 32

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raw_fallback, observed 2026-08-11T19:57:55.397567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T19:57:55.208227Z digest=sha256:2bd495b3c56a7b483686b2ce1e728b956c33da26f551afb1f4a431f46ba3687d

Observation b9074ca2-e38a-4442-96de-fd5c893138ff · outbound

This paper cites write newline.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations write newline

Reference 33

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source=arxiv_source observed=2026-08-11T19:57:55.211212Z digest=sha256:09b86212f827cb58cf76df7338e41098642a993035b0a57ecebe71b4dcb36a58

Pith citing papers

Observation a805a6e5-97e2-49fa-b2b4-e0229a431b7b · inbound

Tabular Image: a method to convert tabular data to images for convolutional neural networks cites this paper.

Tabular Image: a method to convert tabular data to images for convolutional neural networks Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations

Reference 289

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local_arxiv, observed 2026-08-10T14:16:57.255992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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