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Paper Citation Record · LEDGER

Learning Relational Tabular Data without Shared Features

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2502.10125.

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

pith.paper-citation-record.v1
2502.10125 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:26:29.642142Z

measured 44 of 44 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

44 of 44 outbound references displayed

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  • verified fuzzy26
  • unresolved17
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c112644f-2fba-437c-bdc9-0e72fb50d2ee · outbound

This paper cites write newline.

Learning Relational Tabular Data without Shared Features write newline

Reference 1

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Observation 328e30db-8d89-481f-a9d9-0100e8955b96 · outbound

This paper cites Airbnb prices dataset, 2019.

Learning Relational Tabular Data without Shared Features Airbnb prices dataset, 2019

Reference 2

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Observation c5299cac-271c-4902-8638-324eb041728b · outbound

This paper cites Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms.

Learning Relational Tabular Data without Shared Features Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms

Reference 3

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Observation a3f2e851-a955-415b-80e0-be24d89e2ff4 · outbound

This paper cites Layer Normalization.

Learning Relational Tabular Data without Shared Features Layer Normalization

Reference 4

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Observation c54493e4-6d82-4793-8d6e-6825c40555fa · outbound

This paper cites Ecml/pkdd 2002 discovery challenge: Hepatitis data set, 2002.

Learning Relational Tabular Data without Shared Features Ecml/pkdd 2002 discovery challenge: Hepatitis data set, 2002

Reference 5

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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 5fb07023-a55a-4ac6-93b7-01d80a27a2e7 · outbound

This paper cites Covertype, 1998.

Learning Relational Tabular Data without Shared Features Covertype, 1998

Reference 6

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Observation 8cb1322c-7e2c-497a-a871-d952cdd87965 · outbound

This paper cites and Guestrin, C.

Learning Relational Tabular Data without Shared Features and Guestrin, C

Reference 7

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Unavailable: canonical work link unavailable.

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Observation 4746f5b4-31e5-4814-bdd5-d6dde2a5ac80 · outbound

This paper cites Citi bike system data, 2016.

Learning Relational Tabular Data without Shared Features Citi bike system data, 2016

Reference 8

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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 3232ee25-c4d0-4e6c-b508-2821b734aa52 · outbound

This paper cites The Faiss library.

Learning Relational Tabular Data without Shared Features The Faiss library

Reference 9

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Observation e66eba4b-d8cd-4071-9eeb-d35fb5afcf89 · outbound

This paper cites Revisiting deep learning models for tabular data.

Learning Relational Tabular Data without Shared Features Revisiting deep learning models for tabular data

Reference 10

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Observation 0c35bf61-f721-4818-a904-bbe90b3dcf8d · outbound

This paper cites Tabm: Advancing tabular deep learning with parameter-efficient ensembling.

Learning Relational Tabular Data without Shared Features Tabm: Advancing tabular deep learning with parameter-efficient ensembling

Reference 11

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Observation ee5a3042-a988-4e22-bbec-9a3ef296f294 · outbound

This paper cites Gisette dataset, 2004.

Learning Relational Tabular Data without Shared Features Gisette dataset, 2004

Reference 12

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Source-reported events for the cited work

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Observation c164ea4d-a853-4988-8c18-29a44e619a7a · outbound

This paper cites Superconductivity data, 2018.

Learning Relational Tabular Data without Shared Features Superconductivity data, 2018

Reference 13

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Observation 95df9b8f-a68c-4af3-9c3c-9e7b31b3b5fa · outbound

This paper cites Fedcvt: Semi-supervised vertical federated learning with cross-view training.

Learning Relational Tabular Data without Shared Features Fedcvt: Semi-supervised vertical federated learning with cross-view training

Reference 14

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Source-reported events for the cited work

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

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Observation ab6ef1ae-8666-4138-98cb-618c566e04bf · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Learning Relational Tabular Data without Shared Features VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 15

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Observation 47aa2559-9da4-48b0-839b-cdcae85ccda6 · outbound

This paper cites Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions.

Learning Relational Tabular Data without Shared Features Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions

Reference 16

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Observation 68df7cdd-f122-4ccd-99ae-8ba489babb6c · outbound

This paper cites Learnable fourier features for multi-dimensional spatial positional encoding.

Learning Relational Tabular Data without Shared Features Learnable fourier features for multi-dimensional spatial positional encoding

Reference 17

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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 447a1d4c-33ee-475e-884f-bb52c8c76d55 · outbound

This paper cites Vertical federated learning: Concepts, advances, and challenges.

Learning Relational Tabular Data without Shared Features Vertical federated learning: Concepts, advances, and challenges

Reference 18

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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 177213d8-2fb3-45bb-8d03-4a15bcba9feb · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning Relational Tabular Data without Shared Features Decoupled Weight Decay Regularization

Reference 19

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Observation cbdc020d-48c5-4c46-a41e-f56f5ae8fd6e · outbound

This paper cites Discovering reliable approximate functional dependencies.

Learning Relational Tabular Data without Shared Features Discovering reliable approximate functional dependencies

Reference 20

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Observation 0a545098-9c9a-4c84-b90c-6fed171ad44d · outbound

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

Learning Relational Tabular Data without Shared Features When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, 36, 2024

Reference 21

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Observation 544f6cbb-2281-4103-886c-5a53d3a06a9b · outbound

This paper cites and Eich, M.

Learning Relational Tabular Data without Shared Features and Eich, M

Reference 22

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Observation d73bd3a7-32c4-4bdf-900a-dab5c46bf620 · outbound

This paper cites J., Pu, K.

Learning Relational Tabular Data without Shared Features J., Pu, K

Reference 23

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Observation 4ec16081-9988-4ee4-a88e-6886c908661a · outbound

This paper cites Tlc trip record data, 2016.

Learning Relational Tabular Data without Shared Features Tlc trip record data, 2016

Reference 24

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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 9c128682-43ff-4b03-825f-e2a7702eda3a · outbound

This paper cites Bridging data silos using big data integration.

Learning Relational Tabular Data without Shared Features Bridging data silos using big data integration

Reference 25

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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 ab82d4a9-9c85-4407-86dd-94bbf5eb9917 · outbound

This paper cites V., and Gulin, A.

Learning Relational Tabular Data without Shared Features V., and Gulin, A

Reference 26

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Observation c8dd15ab-84de-428f-a880-88e4476951d7 · outbound

This paper cites Kaggle dataset: Housing price in beijing, 2017.

Learning Relational Tabular Data without Shared Features Kaggle dataset: Housing price in beijing, 2017

Reference 27

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Observation 788123ed-afe3-448e-9790-b67625703328 · outbound

This paper cites and Nicolae, D.

Learning Relational Tabular Data without Shared Features and Nicolae, D

Reference 28

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Observation c8d0a92c-bd9e-4d15-9869-181453cc576c · outbound

This paper cites Secondary school rankings in singapore, 2020.

Learning Relational Tabular Data without Shared Features Secondary school rankings in singapore, 2020

Reference 29

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Source-reported events for the cited work

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Observation b35008e6-f6b0-4570-8552-2f1e3d251850 · outbound

This paper cites Resale flat prices in singapore, 2018.

Learning Relational Tabular Data without Shared Features Resale flat prices in singapore, 2018

Reference 30

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Source-reported events for the cited work

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Observation edc567fd-5f24-4eaf-90fd-9cd2731cbb7f · outbound

This paper cites Letter recognition, 1991.

Learning Relational Tabular Data without Shared Features Letter recognition, 1991

Reference 31

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Source-reported events for the cited work

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Observation 99c4baa1-b342-49fc-b2d8-147cdfda7fe9 · outbound

This paper cites Prometna varnost (traffic safety) statistics.

Learning Relational Tabular Data without Shared Features Prometna varnost (traffic safety) statistics

Reference 32

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Observation 2e098403-b8b0-4346-834c-d95bd3640a08 · outbound

This paper cites VL-BERT: Pre-training of Generic Visual-Linguistic Representations.

Learning Relational Tabular Data without Shared Features VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Reference 33

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Learning Relational Tabular Data without Shared Features Unresolved cited work

Reference 34

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Observation 60f66b11-558f-4651-8e8d-27544a3be6f1 · outbound

This paper cites Attention is all you need.

Learning Relational Tabular Data without Shared Features Attention is all you need

Reference 35

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Source-reported events for the cited work

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Observation 7a8b7565-f234-4e90-a1e6-4c73a172b493 · outbound

This paper cites Wikidbs: A large-scale corpus of relational databases from wikidata.

Learning Relational Tabular Data without Shared Features Wikidbs: A large-scale corpus of relational databases from wikidata

Reference 36

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verified fuzzy
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Source-reported events for the cited work

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Observation b8f35a14-7bb8-41c5-9515-58f5941e5437 · outbound

This paper cites Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix.

Learning Relational Tabular Data without Shared Features Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix

Reference 37

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Source-reported events for the cited work

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Observation ffce0cfe-f929-418b-94d9-f3ed650cf24f · outbound

This paper cites A coupled design of exploiting record similarity for practical vertical federated learning.

Learning Relational Tabular Data without Shared Features A coupled design of exploiting record similarity for practical vertical federated learning

Reference 38

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raw_fallback, observed 2026-08-07T19:26:30.024133Z

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=arxiv_source observed=2026-08-07T19:26:29.528291Z digest=sha256:af3cabcbad2ea63a98057d69000fe3a83d9c986c402f4e5eee2277a912d325ba

Observation 2baa854e-6fcc-40cf-a37c-ab3f614273b2 · outbound

This paper cites Federated transformer: Multi-party vertical federated learning on practical fuzzily linked data.

Learning Relational Tabular Data without Shared Features Federated transformer: Multi-party vertical federated learning on practical fuzzily linked data

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:26:30.014523Z

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=arxiv_source observed=2026-08-07T19:26:29.531465Z digest=sha256:11c58cde4dcc85abdbdeadce02e399de5212e0c02ec018209b83f549bd067f92

Observation 9ba83cdc-6d46-4477-b2f9-0eaddf532375 · outbound

This paper cites Unsupervised deep embedding for clustering analysis.

Learning Relational Tabular Data without Shared Features Unsupervised deep embedding for clustering analysis

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:26:30.004911Z

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=arxiv_source observed=2026-08-07T19:26:29.535425Z digest=sha256:b9b3ec2f498098a15d2416d698604c0d418acdfe9d1320d7357dba68bffd499b

Observation 797db4dc-1a6e-44bc-9edc-ef60e4496ad9 · outbound

This paper cites an unresolved cited work.

Learning Relational Tabular Data without Shared Features Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:29.539261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:26:29.539261Z digest=sha256:462b914563602b2e1b290fdb1761ecd2e4ad441a506a43d015b6875c21bda96b

Observation 65a787be-130b-40cf-a0e4-63c3fc2c9019 · outbound

This paper cites Ptarl: Prototype-based tabular representation learning via space calibration.

Learning Relational Tabular Data without Shared Features Ptarl: Prototype-based tabular representation learning via space calibration

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:26:29.981964Z

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=arxiv_source observed=2026-08-07T19:26:29.542493Z digest=sha256:0a1a67c6bd7e112b8f877f785696e8a4bef795699ad3725e057026620cbbaad3

Observation 0586776b-59e7-4e0b-90e4-8925c12b5403 · outbound

This paper cites Autoencoder and its various variants.

Learning Relational Tabular Data without Shared Features Autoencoder and its various variants

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:26:29.971542Z

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=arxiv_source observed=2026-08-07T19:26:29.556934Z digest=sha256:a715f4f31ad167f1e2b2756ad7b87c9b1be404494dc99802c5f0ab05d21f8454

Observation cba0921b-4ffe-459a-900a-aced4296743d · outbound

This paper cites and Soklic, M.

Learning Relational Tabular Data without Shared Features and Soklic, M

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T19:26:29.642142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:26:29.642142Z digest=sha256:0dc6cdc6fcd522848859cdc872cf917e3a68befc6872d03e6c64b4cec92d0c00

Pith citing papers

No inbound Pith citation observations are available.