Paper Citation Record · LEDGER

TabSOM: A tabular-to-image encoding method based on self-organizing maps

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.13513.

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

pith.paper-citation-record.v1
2608.13513 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:23:32.180267Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy27
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfddcc89-7908-47ea-9cac-73f437762a1d · outbound

This paper cites Representation learning for tabular data: A comprehensive survey.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Representation learning for tabular data: A comprehensive survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.764318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e43087fb-4d40-4180-bdd7-9743dd7ba733 · outbound

This paper cites Tab2Visual: Deep Learning for Limited Tabular Data via Visual Representations and Augmentation.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Tab2Visual: Deep Learning for Limited Tabular Data via Visual Representations and Augmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.753064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47e28183-7878-4493-ad02-518c11ea3f91 · outbound

This paper cites A comprehensive bench- mark of spatial encoding methods for tabular data with deep neural networks.

TabSOM: A tabular-to-image encoding method based on self-organizing maps A comprehensive bench- mark of spatial encoding methods for tabular data with deep neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.644184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe2f950a-cb2e-4f71-9551-6428106d505c · outbound

This paper cites DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture.

TabSOM: A tabular-to-image encoding method based on self-organizing maps DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.539226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3502cda-a0ad-41b0-89ff-74d31bcefe2b · outbound

This paper cites TINTO: converting tidy data into image for classifi- cation with 2-dimensional convolutional neural networks.

TabSOM: A tabular-to-image encoding method based on self-organizing maps TINTO: converting tidy data into image for classifi- cation with 2-dimensional convolutional neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.527138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7c1d77bb-3b34-4cc5-9373-aa5f74a336f1 · outbound

This paper cites Repre- sentation of features as images with neighborhood dependencies for compatibility with convolutional neural networks.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Repre- sentation of features as images with neighborhood dependencies for compatibility with convolutional neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.514514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2efe843-cda2-459c-9941-badf02d26f36 · outbound

This paper cites Transfer learning for a tabular-to-image approach: A case study for cardiovas- cular disease prediction.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Transfer learning for a tabular-to-image approach: A case study for cardiovas- cular disease prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.467908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca74e17e-0ba4-4252-b33f-839f5b813986 · outbound

This paper cites Enhanced diabetes prediction using pre-trained CNNs, LSTM, and conditional GAN on trans- formed numerical data.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Enhanced diabetes prediction using pre-trained CNNs, LSTM, and conditional GAN on trans- formed numerical data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.436247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 393d89b4-647c-4c11-8333-6be6452db093 · outbound

This paper cites Tabular- to-Image Encoding Methods for Melanoma Detection: A Proof-of- Concept.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Tabular- to-Image Encoding Methods for Melanoma Detection: A Proof-of- Concept

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.423142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0e7a82f-9f8b-498e-85dd-3252fcfd3e93 · outbound

This paper cites In- terpretable Hybrid Vision Transformer Architectures for MIMO- Based Indoor Localization using Synthetic Spatial Representa- tions.

TabSOM: A tabular-to-image encoding method based on self-organizing maps In- terpretable Hybrid Vision Transformer Architectures for MIMO- Based Indoor Localization using Synthetic Spatial Representa- tions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.410756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8505c81-ff5b-4dc0-93eb-d5f4f5c6c5b9 · outbound

This paper cites MIMO-Based Indoor Localisation with Hybrid Neural Networks: Leveraging Synthetic Images from Tidy Data for Enhanced Deep Learning.

TabSOM: A tabular-to-image encoding method based on self-organizing maps MIMO-Based Indoor Localisation with Hybrid Neural Networks: Leveraging Synthetic Images from Tidy Data for Enhanced Deep Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.322191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7577f0aa-25d8-4dc2-a09f-84c2599534a2 · outbound

This paper cites A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation.

TabSOM: A tabular-to-image encoding method based on self-organizing maps A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.251151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e6871de-075c-4561-97ad-75e2f21979b6 · outbound

This paper cites Image-based vulnerability detection based on a hybrid deep learning model in the Industrial Internet of Things using convolution neural network and transformer architectures.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Image-based vulnerability detection based on a hybrid deep learning model in the Industrial Internet of Things using convolution neural network and transformer architectures

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.229001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6ce0623-f216-42ea-811a-cb8d6606092c · outbound

This paper cites Engineering applications of the self-organizing map.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Engineering applications of the self-organizing map

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:33.013828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae1bf2f1-e530-4b34-a737-585a489013fe · outbound

This paper cites Data-driven visual characterization of patient health-status using electronic health records and self-organizing maps.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Data-driven visual characterization of patient health-status using electronic health records and self-organizing maps

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.979733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ff748b0-6f8f-4c7a-b891-26b689eec394 · outbound

This paper cites Self-organizing maps applied to ecological sciences.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Self-organizing maps applied to ecological sciences

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.967300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 478cfa54-a2a5-42e8-8658-1f9c60da18f7 · outbound

This paper cites Topology-oriented self-organizing maps: a survey.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Topology-oriented self-organizing maps: a survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.954901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d436af4-18da-4280-8302-e4d810d7d60d · outbound

This paper cites Topological Activation Maps for Visual Representation Learning from Tabular Data.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Topological Activation Maps for Visual Representation Learning from Tabular Data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.941168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7af6565-93e7-4975-b6ea-758c87962869 · outbound

This paper cites Classification with 2-D convolutional neural networks for breast cancer diagnosis.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Classification with 2-D convolutional neural networks for breast cancer diagnosis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.774235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68eb868d-c015-48f6-8900-b50c4e34977b · outbound

This paper cites Tabular-to-image transformations for the classification of anonymous network traffic using deep residual networks.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Tabular-to-image transformations for the classification of anonymous network traffic using deep residual networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.737844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad820145-04fd-43e1-b507-3a349db44f54 · outbound

This paper cites Supertml: Two-dimensional word embedding for the precognition on struc- tured tabular data.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Supertml: Two-dimensional word embedding for the precognition on struc- tured tabular data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.610940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1de049da-4496-40c2-bc70-f2fc9a31bd86 · outbound

This paper cites Tab2visual: overcom- ing limited data in tabular data classification using deep learning with visual representations.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Tab2visual: overcom- ing limited data in tabular data classification using deep learning with visual representations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.518177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08b5ecde-0c1f-44cb-a513-f66f611d3e88 · outbound

This paper cites Transforming tabular data into images via enhanced spatial relationships for CNN processing.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Transforming tabular data into images via enhanced spatial relationships for CNN processing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.411106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28179944-83c4-4f8d-9bb7-24ee9a424eb2 · outbound

This paper cites Towards efficient image-based rep- resentation of tabular data.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Towards efficient image-based rep- resentation of tabular data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.270880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9134138-c189-4c75-ae30-fd7f83a8efcd · outbound

This paper cites Converting tabular data into images for deep learning with convolutional neural networks.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Converting tabular data into images for deep learning with convolutional neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.258140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2f9b37d-d0f3-4513-a455-993ae6c17753 · outbound

This paper cites LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks.

TabSOM: A tabular-to-image encoding method based on self-organizing maps LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.246487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35fb67dd-4211-4cbd-b1da-a1542dcc455d · outbound

This paper cites Bie: binary image encoding for the classification of tabular data.

TabSOM: A tabular-to-image encoding method based on self-organizing maps Bie: binary image encoding for the classification of tabular data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:23:32.233267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.