Paper Citation Record · LEDGER

Representation Learning on Out of Distribution in Tabular Data

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.10095.

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

pith.paper-citation-record.v1
2502.10095 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:30:43.616922Z

measured 39 of 39 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 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

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d05dd39-1f95-4b23-bd87-3dea749222c2 · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out- of-distribution data,.

Representation Learning on Out of Distribution in Tabular Data Generalized odin: Detecting out-of-distribution image without learning from out- of-distribution data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:44.069487Z

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

Observation 90d6a6cf-c2f5-4d59-a595-3c87cd7230f2 · outbound

This paper cites A baseline for detecting mis- classified and out-of-distribution examples in neural networks,.

Representation Learning on Out of Distribution in Tabular Data A baseline for detecting mis- classified and out-of-distribution examples in neural networks,

Reference 2

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Observation 96e63647-b90a-4ed8-9ee1-2997e466d2bf · outbound

This paper cites Computational power and the social impact of artificial intelligence,.

Representation Learning on Out of Distribution in Tabular Data Computational power and the social impact of artificial intelligence,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:44.051492Z

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Observation 1067cfce-d211-44c2-a06a-145ce9fb6484 · outbound

This paper cites The de-democratization of ai: Deep learning and the compute divide in artificial intelligence research,.

Representation Learning on Out of Distribution in Tabular Data The de-democratization of ai: Deep learning and the compute divide in artificial intelligence research,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:44.042026Z

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Observation 3dcfb481-3fb9-46fc-be2a-09426a7bce65 · outbound

This paper cites Multi-Class Data Description for Out-of-distribution Detection,.

Representation Learning on Out of Distribution in Tabular Data Multi-Class Data Description for Out-of-distribution Detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:44.013813Z

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Observation 98109ae1-92cd-447b-b99a-455ae924b455 · outbound

This paper cites Multi-class data description for out-of-distribution detection,.

Representation Learning on Out of Distribution in Tabular Data Multi-class data description for out-of-distribution detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.981426Z

Source-reported events for the cited work

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Observation 0431541f-f03a-4436-80ce-9e7562855e18 · outbound

This paper cites Towards open set deep net- works,.

Representation Learning on Out of Distribution in Tabular Data Towards open set deep net- works,

Reference 7

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Source-reported events for the cited work

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Observation ce3a5209-920f-4b14-864c-ac2c94cab6dc · outbound

This paper cites Dropout as a bayesian approxi- mation: Representing model uncertainty in deep learning,.

Representation Learning on Out of Distribution in Tabular Data Dropout as a bayesian approxi- mation: Representing model uncertainty in deep learning,

Reference 8

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Observation 71d78163-48bd-45e8-9530-e0785c10f7d1 · outbound

This paper cites Enhancing the reliability of out-of-distribution image detection in neural networks,.

Representation Learning on Out of Distribution in Tabular Data Enhancing the reliability of out-of-distribution image detection in neural networks,

Reference 9

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Observation 481a889b-17f6-429b-aea0-358523f92d6a · outbound

This paper cites Why do tree- based models still outperform deep learning on typical tabular data?,.

Representation Learning on Out of Distribution in Tabular Data Why do tree- based models still outperform deep learning on typical tabular data?,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.934390Z

Source-reported events for the cited work

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Observation 3ab1a8ba-7a7b-4b08-a6b1-a990f1a511d5 · outbound

This paper cites Contrastive federated learn- ing with tabular data silos,.

Representation Learning on Out of Distribution in Tabular Data Contrastive federated learn- ing with tabular data silos,

Reference 11

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Source-reported events for the cited work

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Observation c70f9158-5e2d-45e7-8776-9ecdb9eab672 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Representation Learning on Out of Distribution in Tabular Data A simple framework for contrastive learning of visual representations,

Reference 12

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Source-reported events for the cited work

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Observation 53119d36-f626-4122-ae9a-0d3b3275df3a · outbound

This paper cites Subtab: Subset- ting features of tabular data for self-supervised representation learning,.

Representation Learning on Out of Distribution in Tabular Data Subtab: Subset- ting features of tabular data for self-supervised representation learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.901065Z

Source-reported events for the cited work

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Observation bcf2bd5c-b832-4a2d-92ea-943789275c70 · outbound

This paper cites Speed/accuracy trade-offs for modern convolutional object detectors,.

Representation Learning on Out of Distribution in Tabular Data Speed/accuracy trade-offs for modern convolutional object detectors,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.890393Z

Source-reported events for the cited work

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Observation 7c84fca5-1d05-4ad4-bdaf-f74f8687bd48 · outbound

This paper cites Probabilistic outputs for support vector ma- chines and comparisons to regularized likelihood methods,.

Representation Learning on Out of Distribution in Tabular Data Probabilistic outputs for support vector ma- chines and comparisons to regularized likelihood methods,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.880449Z

Source-reported events for the cited work

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Observation 8b20abab-fe11-4b97-86ad-3feef5163b8c · outbound

This paper cites On calibra- tion of modern neural networks,.

Representation Learning on Out of Distribution in Tabular Data On calibra- tion of modern neural networks,

Reference 16

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Source-reported events for the cited work

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Observation f3177a9a-82d3-4837-8a7a-e6a01ddfb09f · outbound

This paper cites Pytorch-ood: A library for out-of-distribution detection based on pytorch,.

Representation Learning on Out of Distribution in Tabular Data Pytorch-ood: A library for out-of-distribution detection based on pytorch,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.858784Z

Source-reported events for the cited work

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Observation 148c015a-7271-4b5c-b4d9-19552a76b497 · outbound

This paper cites Multi-class data description for out-of-distribution detection,.

Representation Learning on Out of Distribution in Tabular Data Multi-class data description for out-of-distribution detection,

Reference 18

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Observation 933a28b5-915b-4694-9d12-810ff3d2849d · outbound

This paper cites Feature selection using a multilayer perceptron,.

Representation Learning on Out of Distribution in Tabular Data Feature selection using a multilayer perceptron,

Reference 19

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Source-reported events for the cited work

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Observation 11caab99-bd71-4f17-8016-4cedcc8dcc70 · outbound

This paper cites Tabr: Tabular deep learning meets nearest neighbors in 2023,.

Representation Learning on Out of Distribution in Tabular Data Tabr: Tabular deep learning meets nearest neighbors in 2023,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.827317Z

Source-reported events for the cited work

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Observation 12a75256-8e76-4e5a-9ab3-c885bd077390 · outbound

This paper cites Self-normalizing neural networks,.

Representation Learning on Out of Distribution in Tabular Data Self-normalizing neural networks,

Reference 21

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Observation 6e4b3910-4a46-47d8-9b6a-1a031bd574a8 · outbound

This paper cites Attention is all you need,.

Representation Learning on Out of Distribution in Tabular Data Attention is all you need,

Reference 22

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Observation 98443829-9e57-450a-b4bc-024fa6607cc2 · outbound

This paper cites Rest-net: Diverse activation modules and parallel subnets-based cnn for spatial image steganalysis,.

Representation Learning on Out of Distribution in Tabular Data Rest-net: Diverse activation modules and parallel subnets-based cnn for spatial image steganalysis,

Reference 23

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Observation b6ee3322-0b9c-448b-9981-b5406192fe10 · outbound

This paper cites Dcn v2: Improved deep and cross network and practical lessons for web-scale learning to rank systems,.

Representation Learning on Out of Distribution in Tabular Data Dcn v2: Improved deep and cross network and practical lessons for web-scale learning to rank systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.791143Z

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Observation 8419656f-6a97-4ffc-b5bb-dda476633294 · outbound

This paper cites Autoint: Automatic feature interaction learning via self-attentive neural networks,.

Representation Learning on Out of Distribution in Tabular Data Autoint: Automatic feature interaction learning via self-attentive neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.780626Z

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Observation c3466329-922f-44df-8e4b-5bce1b922674 · outbound

This paper cites Neural oblivious decision ensembles for deep learning on tabular data,.

Representation Learning on Out of Distribution in Tabular Data Neural oblivious decision ensembles for deep learning on tabular data,

Reference 26

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Source-reported events for the cited work

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Observation 2f1705a1-fdd8-4bad-99ba-3ee27d924ee7 · outbound

This paper cites Tabnet: Attentive interpretable tabular learning,.

Representation Learning on Out of Distribution in Tabular Data Tabnet: Attentive interpretable tabular learning,

Reference 27

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Observation 3e668d32-ad97-442c-b593-b64b747c8436 · outbound

This paper cites Gradient boosting neural networks: Grownet,.

Representation Learning on Out of Distribution in Tabular Data Gradient boosting neural networks: Grownet,

Reference 28

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This paper cites SCARF: SELF- SUPERVISED CONTRASTIVE LEARNING USING RAN- DOM FEATURE CORRUPTION,.

Representation Learning on Out of Distribution in Tabular Data SCARF: SELF- SUPERVISED CONTRASTIVE LEARNING USING RAN- DOM FEATURE CORRUPTION,

Reference 29

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Representation Learning on Out of Distribution in Tabular Data Becker and R

Reference 30

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This paper cites Analysis of the automl challenge series 2015-2018,.

Representation Learning on Out of Distribution in Tabular Data Analysis of the automl challenge series 2015-2018,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.728009Z

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Observation 6b210a1d-7073-4a05-a2cf-c780d77740fa · outbound

This paper cites Searching for exotic particles in high-energy physics with deep learning,.

Representation Learning on Out of Distribution in Tabular Data Searching for exotic particles in high-energy physics with deep learning,

Reference 32

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Source-reported events for the cited work

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Observation c60a2bbe-e5f4-46ab-9755-6da646b01687 · outbound

This paper cites The amsterdam library of object images,.

Representation Learning on Out of Distribution in Tabular Data The amsterdam library of object images,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.706495Z

Source-reported events for the cited work

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Observation e0cf0ebb-2663-4c13-beaf-ce963d03fcb5 · outbound

This paper cites Comparative accuracies of ar- tificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables,.

Representation Learning on Out of Distribution in Tabular Data Comparative accuracies of ar- tificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables,

Reference 34

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Observation e6a552ef-ef3a-4a7d-8752-34527aef9932 · outbound

This paper cites Sparse spatial autoregressions,.

Representation Learning on Out of Distribution in Tabular Data Sparse spatial autoregressions,

Reference 35

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This paper cites The million song dataset,.

Representation Learning on Out of Distribution in Tabular Data The million song dataset,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.679914Z

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Observation ed2cff01-a225-4cf3-ae78-5e8aa0c536a5 · outbound

This paper cites Yahoo! learning to rank challenge overview,.

Representation Learning on Out of Distribution in Tabular Data Yahoo! learning to rank challenge overview,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.669617Z

Source-reported events for the cited work

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Observation 76e44c44-2e16-455a-b28f-09e98e3fafb8 · outbound

This paper cites Introducing LETOR 4.0 Datasets.

Representation Learning on Out of Distribution in Tabular Data Introducing LETOR 4.0 Datasets

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T19:30:43.613107Z

Source-reported events for the cited work

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Observation b26746d1-0b20-4931-ad08-63ec10b65ed2 · outbound

This paper cites Tabular contrastive learning (tcl).

Representation Learning on Out of Distribution in Tabular Data Tabular contrastive learning (tcl)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:30:43.657590Z

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.

Pith citing papers

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