Paper Citation Record · LEDGER

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2510.02060.

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

pith.paper-citation-record.v1
2510.02060 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:50:27.067056Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

46 of 46 outbound references displayed

verified exact0
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b74d22c-d3fd-42ac-8e3f-0d4133446b09 · outbound

This paper cites write newline.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:22.534728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b699ac-a2cb-4a4f-b865-56d38e1a5c68 · outbound

This paper cites Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:22.680359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd67fbc-2c67-470d-a4b1-4abb75afe1e1 · outbound

This paper cites Claude opus 4.1.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Claude opus 4.1

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:22.824237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 151e589a-b387-43ca-8b50-acd6aefcf3ad · outbound

This paper cites Classification-Based Anomaly Detection for General Data.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Classification-Based Anomaly Detection for General Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.007605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6244860a-54be-419f-99af-b53e8d2dddc6 · outbound

This paper cites Lof: identifying density-based local outliers.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Lof: identifying density-based local outliers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.180119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66049831-6f67-4d5c-a083-b0757003a664 · outbound

This paper cites Campos and J.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Campos and J

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.342238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00492f7-eb0e-420e-8604-b0bfdc041239 · outbound

This paper cites On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.522035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31b0e546-96cf-4438-af8a-3e73c3415105 · outbound

This paper cites Anomaly detection: A survey.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Anomaly detection: A survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.705360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb92b99-45ec-4c20-852f-01e13773df26 · outbound

This paper cites Xgboost: A scalable tree boosting system.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Xgboost: A scalable tree boosting system

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.863522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f036586c-023e-468d-8486-c2a63cd28b6a · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:23.981215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b20321-42d2-4209-90ce-8aeeda8cc5e2 · outbound

This paper cites Gpt-4.1 sets the standard in automated experiment design using novel python libraries.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Gpt-4.1 sets the standard in automated experiment design using novel python libraries

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.136352Z

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Unavailable: canonical work link unavailable.

Observation a49947aa-7898-4a0f-aec6-77ee69a14bcf · outbound

This paper cites Deep learning for medical anomaly detection--a survey.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Deep learning for medical anomaly detection--a survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.236576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe9ca0a0-6fd1-424d-a10e-7ce5ebd04eeb · outbound

This paper cites Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.371984Z

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Unavailable: canonical work link unavailable.

Observation 9d42e8bf-d1e2-4309-9876-9725c6f1f624 · outbound

This paper cites A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.543838Z

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Unavailable: canonical work link unavailable.

Observation 4413642c-b0b8-49e3-adec-0a6fde5e1e36 · outbound

This paper cites Adbench: Anomaly detection benchmark.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Adbench: Anomaly detection benchmark

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.673956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775497f0-53ae-4fbf-9e90-4b1ba4ebed5d · outbound

This paper cites Tabllm: Few-shot classification of tabular data with large language models.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Tabllm: Few-shot classification of tabular data with large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.767662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fab8c82-d9ec-440f-ac58-00f5e427f26e · outbound

This paper cites Comparative analysis of machine learning models for anomaly detection in manufacturing.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Comparative analysis of machine learning models for anomaly detection in manufacturing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.849883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54a7246-06b4-4cbd-a496-04ea99461c85 · outbound

This paper cites Large language models are zero-shot reasoners.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Large language models are zero-shot reasoners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.947264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a81b1b1-271e-4b0a-b243-ac3758f38e06 · outbound

This paper cites Deep learning for anomaly detection in log data: A survey.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Deep learning for anomaly detection in log data: A survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.050280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b982f3-31da-475f-b2ff-255c6c288ed3 · outbound

This paper cites Rca: A deep collaborative autoencoder approach for anomaly detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Rca: A deep collaborative autoencoder approach for anomaly detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.166110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7117f16-35c1-4d64-86a3-9592d595a00b · outbound

This paper cites Isolation forest.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Isolation forest

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.225959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d712e5-5c90-4c51-befe-0513dca07b23 · outbound

This paper cites On Diffusion Modeling for Anomaly Detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection On Diffusion Modeling for Anomaly Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.273612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 999b5a59-9b3a-46d6-8ee7-458806f71637 · outbound

This paper cites Lundberg and Su - In Lee.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Lundberg and Su - In Lee

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.400982Z

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Unavailable: canonical work link unavailable.

Observation ea18d1a6-c14f-4e59-9a72-9fc0caf0f109 · outbound

This paper cites Gpt-4o mini: Advancing cost-efficient intelligence.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Gpt-4o mini: Advancing cost-efficient intelligence

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.498862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561e6a69-098a-4dbb-831e-a96d8a39752c · outbound

This paper cites Learning representations of ultrahigh-dimensional data for random distance-based outlier detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Learning representations of ultrahigh-dimensional data for random distance-based outlier detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.602093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c64148-276b-41df-b069-91d923f26a47 · outbound

This paper cites Deep learning for anomaly detection: A review.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Deep learning for anomaly detection: A review

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.683378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56cb7276-4ce2-4f05-a8f2-7eb1539874c6 · outbound

This paper cites Neural transformation learning for deep anomaly detection beyond images.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Neural transformation learning for deep anomaly detection beyond images

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.765967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7047088a-469d-49ce-8fee-7782083153b9 · outbound

This paper cites Efficient algorithms for mining outliers from large data sets.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Efficient algorithms for mining outliers from large data sets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.816939Z

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Observation e6971c5a-c455-44e1-944c-4028f49d2757 · outbound

This paper cites Deep one-class classification.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Deep one-class classification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.876969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da1bf44-f262-4b83-8746-c8ce9edab1cd · outbound

This paper cites Kauffmann, Robert A.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Kauffmann, Robert A

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:25.919008Z

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Unavailable: canonical work link unavailable.

Observation ead7983b-36bf-40e1-945d-da00ade7eae7 · outbound

This paper cites A unifying review of deep and shallow anomaly detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection A unifying review of deep and shallow anomaly detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.006910Z

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Unavailable: canonical work link unavailable.

Observation 5b0b0ee9-5805-40bc-bff9-ec01c1d9870b · outbound

This paper cites The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.060860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f32b88-10f6-401f-b9b4-b2530b41f476 · outbound

This paper cites Support vector method for novelty detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Support vector method for novelty detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.120671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8557eaab-a1d7-481f-9380-ff9c283251c0 · outbound

This paper cites Estimating the support of a high-dimensional distribution.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Estimating the support of a high-dimensional distribution

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.194749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77d0489-cfc2-44d4-b569-94c4cc941eb2 · outbound

This paper cites A novel anomaly detection scheme based on principal component classifier.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection A novel anomaly detection scheme based on principal component classifier

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.254302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1144fe1c-1341-464a-bcba-d6322d23b5e8 · outbound

This paper cites Ano LLM : Large language models for tabular anomaly detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Ano LLM : Large language models for tabular anomaly detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.302063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33bb2fd2-24a6-4dc1-b1bd-6d564edac156 · outbound

This paper cites Unsupervised Representation Learning by Predicting Random Distances.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Unsupervised Representation Learning by Predicting Random Distances

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.354650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0683da75-eccc-49f1-803e-314638b95916 · outbound

This paper cites Deep isolation forest for anomaly detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Deep isolation forest for anomaly detection

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.408291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2bc456-c310-4243-b13d-4ad9397ff4e6 · outbound

This paper cites Fascinating supervisory signals and where to find them: Deep anomaly detection with scale learning.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Fascinating supervisory signals and where to find them: Deep anomaly detection with scale learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.492833Z

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Unavailable: canonical work link unavailable.

Observation 7e826925-8b93-4ee2-bcf5-3ce24bf66fa1 · outbound

This paper cites Qwen3 Technical Report.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Qwen3 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.580989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e994e687-5ee0-4968-b30e-68dc659773dc · outbound

This paper cites Drl: Decomposed representation learning for tabular anomaly detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Drl: Decomposed representation learning for tabular anomaly detection

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.663925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220bede6-b807-4a39-ae71-f0c90407394a · outbound

This paper cites Mcm: Masked cell modeling for anomaly detection in tabular data.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Mcm: Masked cell modeling for anomaly detection in tabular data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.748141Z

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Unavailable: canonical work link unavailable.

Observation be23f26d-59eb-4eef-bd1e-7d6c877f82f3 · outbound

This paper cites Pyod: A python toolbox for scalable outlier detection.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Pyod: A python toolbox for scalable outlier detection

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.839815Z

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Unavailable: canonical work link unavailable.

Observation 31da0e10-f810-41b5-95fc-04d34ceac64e · outbound

This paper cites @esa (Ref.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection @esa (Ref

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.903084Z

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Unavailable: canonical work link unavailable.

Observation e9f8f014-811c-48b5-8b44-b821d207b1e3 · outbound

This paper cites an unresolved cited work.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:26.978814Z

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Unavailable: canonical work link unavailable.

Observation 6b609642-23b7-4fc7-9833-53b260560de9 · outbound

This paper cites Record i : [feature\_name\_1=value\_1], [feature\_name\_2=value\_2],.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Record i : [feature\_name\_1=value\_1], [feature\_name\_2=value\_2],

Reference 46

Resolution: malformed identifier; no resolver link, observed 2026-08-04T12:50:27.067056Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.