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Paper Citation Record · LEDGER

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2502.07181.

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

pith.paper-citation-record.v1
2502.07181 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:37:09.965612Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

48 of 48 outbound references displayed

  • verified exact7
  • verified fuzzy19
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90cd642f-6334-46a0-9402-aaa63b01ee05 · outbound

This paper cites Krizhevsky, I.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Krizhevsky, I

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1f548df4-367b-4f94-a0fc-9417d4d19a69 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-08T13:37:09.771359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 55a68ef7-fd13-46b6-ad12-c4584eeb603d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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unresolved
no resolver link, observed 2026-08-08T13:37:09.775900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:09.775900Z digest=sha256:ac285724b7638733dbb5e8896a6b6fd8e537303702ee5f8ea6b8a4377b3e391c

Observation 6af41795-de46-4a13-b174-8f78883d4512 · outbound

This paper cites Carion, F.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Carion, F

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d8a043b8-48d5-4172-b0c6-305bbd045fe3 · outbound

This paper cites Silver, J.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Silver, J

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 839cbd73-e71a-41fe-9009-960bb62199ec · outbound

This paper cites Grinsztajn, E.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Grinsztajn, E

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2d302008-3c7c-4dc0-8480-91ba467a4601 · outbound

This paper cites Borisov, T.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Borisov, T

Reference 7

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5321666e-0cad-4b43-8044-9474259c2899 · outbound

This paper cites Van Breugel, M.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Van Breugel, M

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 860da3a7-b194-4e7f-b22c-4c9beaf72227 · outbound

This paper cites Popov, S.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Popov, S

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2632eac3-86ed-46d7-a8a0-1f5abfcb7791 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dc7ede01-7c94-4c1b-be2f-0a4314b83c65 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae304464-be82-4b83-b13d-3af24d8a1005 · outbound

This paper cites Hollmann, S.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Hollmann, S

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 96ec9522-2640-4610-b686-dc57380213f0 · outbound

This paper cites Hollmann, S.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Hollmann, S

Reference 13

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unresolved
no resolver link, observed 2026-08-08T13:37:09.818827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:09.818827Z digest=sha256:cd5f546696b9a278c15214a1cf0bd68ab137c6fcc1e6e75cba1de5f15e6f77ce

Observation fb4e2170-08f5-41ca-b4ca-a6f5081eea5a · outbound

This paper cites Shavitt, E.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Shavitt, E

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a33e8b6c-efd2-4e4c-bdab-6ea2e05143b2 · outbound

This paper cites Kadra, M.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Kadra, M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:11.172989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:09.826918Z digest=sha256:03012380bd1f29fe51047fcf9d7399454e50d534214a0f86c8fc2c7b05c6d96e

Observation 882abe1c-f776-41a4-9ff4-936d772669ae · outbound

This paper cites Sharma, E.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Sharma, E

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:11.159071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5f04549e-58f7-43d0-9a7b-619b924d6d73 · outbound

This paper cites van der Maaten, G.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations van der Maaten, G

Reference 17

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no resolver link, observed 2026-08-08T13:37:09.835142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:09.835142Z digest=sha256:d9439cf79fb64cb185dfd504981a214b6c59b7d305a1179dfc28c5c6af6d2424

Observation d1463338-65c3-45e0-89c4-9ba3bab0a117 · outbound

This paper cites Bazgir, R.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Bazgir, R

Reference 18

Resolution
verified exact
doi, observed 2026-08-08T13:37:10.051479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6ff2452d-1496-4b4f-a456-91264ad76166 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 19

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T13:37:10.649530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9b71caf5-d976-4605-b6c4-22ea604f582c · outbound

This paper cites Buturovi´ c, D.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Buturovi´ c, D

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b479ddd6-c7ff-4e57-a9e5-8232261ff51f · outbound

This paper cites Nguyen, H.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Nguyen, H

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 561d73b4-8dd0-4517-80c1-0d00ae98d50e · outbound

This paper cites Shwartz-Ziv, A.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Shwartz-Ziv, A

Reference 22

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no resolver link, observed 2026-08-08T13:37:09.855725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5b3975c2-85d4-473b-84d9-ccdc83687ae0 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6698c005-d98e-49b1-87a8-da90a220d462 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-08T13:37:11.110773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3943c0ca-3f3c-4451-92c7-aa47811125ed · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 25

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eb1fbc6e-34be-46b2-a7fd-b7a4d21fc473 · outbound

This paper cites Synthesising Multi-Modal Minority Samples for Tabular Data.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Synthesising Multi-Modal Minority Samples for Tabular Data

Reference 26

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unresolved
no resolver link, observed 2026-08-08T13:37:09.871422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2d703e5-2804-4f88-a9c4-04b91a22da7e · outbound

This paper cites Mamdouh, M.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Mamdouh, M

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-08T13:37:11.084940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6f010935-7d6f-422b-8e3e-5a0d84877c05 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-08T13:37:11.071045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e7b6345c-0517-44ac-b704-a83688fc502d · outbound

This paper cites El-Melegy, A.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations El-Melegy, A

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-08T13:37:11.057517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 82a9ab07-f783-47f8-a11e-d45a6e3b3e06 · outbound

This paper cites Paivio, K.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Paivio, K

Reference 30

Resolution
verified exact
doi, observed 2026-08-08T13:37:10.028078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3a4a870f-5778-46cb-b483-1a3a25ac737e · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-08T13:37:11.043523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 41809d8a-7581-4df0-be43-cf4cab5f5491 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 32

Resolution
verified exact
doi, observed 2026-08-08T13:37:10.012767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dbcde63c-ea2c-4986-ac4c-848a7ae852b4 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:37:11.029768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:09.901400Z digest=sha256:7d0c2cc812f87baaefaf4c5e04d1614b0d0dd519e436ec2665a586b6d454322a

Observation f7c987b6-82e3-48a1-90bc-dc4cf58d3ec1 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:37:11.016446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 786c9cd7-2216-409c-8fe2-e41b42ef0591 · outbound

This paper cites Buslaev, V.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Buslaev, V

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:11.002978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9a95327a-aab9-4280-8b47-dbd330601c65 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:37:10.989148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba96c722-88d3-460a-a5b2-348c409cce13 · outbound

This paper cites Geurts, D.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Geurts, D

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 58977248-4caf-4f7d-a7ea-0a7d5bdc2c29 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 38

Resolution
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 89ded04b-8f00-4533-ab08-fc27c8cfd664 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:37:10.947403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 75eedab9-e34a-45a0-a7da-4d9e75e18e02 · outbound

This paper cites CatBoost: gradient boosting with categorical features support.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations CatBoost: gradient boosting with categorical features support

Reference 40

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e3858d4-1056-494a-8ccd-a1d86b2e49f1 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:37:10.932340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 81c06a81-40d8-44a5-8715-a8e9231b6ea4 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:37:10.918064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7b725776-64b4-4067-87dc-30b7edcec69f · outbound

This paper cites CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images

Reference 43

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7d0a04ab-714c-4c51-a60a-df13353bc077 · outbound

This paper cites Wightman, Pytorch image models, https://github.com/huggingface/pytorch-image-models (2019).

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Wightman, Pytorch image models, https://github.com/huggingface/pytorch-image-models (2019)

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b0467c52-e661-4c3f-a1e4-a963c97040ab · outbound

This paper cites Akiba, S.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Akiba, S

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:10.903837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 31162448-fefe-4f18-ae7c-bf28bc10955d · outbound

This paper cites Pedregosa, G.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Pedregosa, G

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c5947da4-6644-4a45-b5f2-7e833a635489 · outbound

This paper cites an unresolved cited work.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Unresolved cited work

Reference 47

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c8364185-3011-4c52-8a51-944411ce7c39 · outbound

This paper cites Cheung, D.-Y.

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations Cheung, D.-Y

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.