Paper Citation Record · LEDGER

Deep Learning for Anomaly Detection: A Survey

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:1901.03407.

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

pith.paper-citation-record.v1
1901.03407 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:00:39.091615Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

1208
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 12c2c646-af88-4055-aed8-482085c4fc3f · inbound

Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds cites this paper.

Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds Deep Learning for Anomaly Detection: A Survey

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:14:50.784086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 866cea6a-b4a6-47c6-b336-8171bbc75eff · inbound

A Framework for Monitoring Human Physiological Response during Human Robot Collaborative Task cites this paper.

A Framework for Monitoring Human Physiological Response during Human Robot Collaborative Task Deep Learning for Anomaly Detection: A Survey

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:19:40.221905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4101bcaa-6c5c-471d-a01f-853b028bf4ec · inbound

Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset cites this paper.

Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset Deep Learning for Anomaly Detection: A Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T21:12:07.511067Z

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Observation a507a209-1743-4893-8b25-9e052f79a7ea · inbound

End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection cites this paper.

End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T15:42:34.041091Z

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Observation 20b0e1df-6bfa-4ebc-b462-ec729dd2daba · inbound

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data cites this paper.

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data Deep Learning for Anomaly Detection: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:39.876176Z

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Observation 4c57fa9e-43ad-4079-8152-5ecb8c3d48eb · inbound

Input-Output Optics as a Causal Time Series Mapping: A Generative Machine Learning Solution cites this paper.

Input-Output Optics as a Causal Time Series Mapping: A Generative Machine Learning Solution Deep Learning for Anomaly Detection: A Survey

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T05:44:47.839337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae151005-4f5a-44ea-9165-09eead7ab394 · inbound

siForest: Detecting Network Anomalies with Set-Structured Isolation Forest cites this paper.

siForest: Detecting Network Anomalies with Set-Structured Isolation Forest Deep Learning for Anomaly Detection: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T20:09:51.741339Z

Source-reported events for the cited work

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Observation d8a2819c-3b2e-495b-8266-f6d8a544e1bb · inbound

GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient cites this paper.

GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient Deep Learning for Anomaly Detection: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T17:50:02.404354Z

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Observation b1629c19-565d-480d-a093-1093b89065aa · inbound

Dive into Time-Series Anomaly Detection: A Decade Review cites this paper.

Dive into Time-Series Anomaly Detection: A Decade Review Deep Learning for Anomaly Detection: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T23:22:30.974918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585d077e-0f18-4414-af2e-670628023f71 · inbound

Score Combining for Contrastive OOD Detection cites this paper.

Score Combining for Contrastive OOD Detection Deep Learning for Anomaly Detection: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:29:59.141244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e865fdf3-6c27-47bf-afb2-e4f9555515af · inbound

Robust Conformal Outlier Detection under Contaminated Reference Data cites this paper.

Robust Conformal Outlier Detection under Contaminated Reference Data Deep Learning for Anomaly Detection: A Survey

Reference 2025

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Source-reported events for the cited work

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Observation 4c51f9ca-2e0a-4d22-8d4b-8f19d25ce8c0 · inbound

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network cites this paper.

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network Deep Learning for Anomaly Detection: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:39.091615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 040637ed-b7ed-431b-971b-fe3fb470a44a · inbound

Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks cites this paper.

Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks Deep Learning for Anomaly Detection: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:54:45.643497Z

Source-reported events for the cited work

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Observation 34dcc426-9fb4-40ef-894b-439a8f3b2610 · inbound

Shapley Value-driven Data Pruning for Recommender Systems cites this paper.

Shapley Value-driven Data Pruning for Recommender Systems Deep Learning for Anomaly Detection: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:43.583293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c79f7aa-ed79-49a5-a357-a971784c8eff · inbound

AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries cites this paper.

AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries Deep Learning for Anomaly Detection: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:39.786217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d9cd0b4-517a-46e2-82e2-df929715929c · inbound

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series cites this paper.

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series Deep Learning for Anomaly Detection: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:51:05.803687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18524ac6-e65d-4280-99d7-319eda11fe96 · inbound

Explainable anomaly detection for sound spectrograms using pooling statistics with quantile differences cites this paper.

Explainable anomaly detection for sound spectrograms using pooling statistics with quantile differences Deep Learning for Anomaly Detection: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:12.181157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089a3d0b-5c97-4562-948f-0039b34c375d · inbound

Out-of-distribution detection in 3D applications: a review cites this paper.

Out-of-distribution detection in 3D applications: a review Deep Learning for Anomaly Detection: A Survey

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:32.157817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 777c48cb-d981-472c-a07e-c4a5e5f13f96 · inbound

ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model cites this paper.

ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model Deep Learning for Anomaly Detection: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:44.735248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3b9d4a-2295-4168-86ba-4445f2492214 · inbound

We Need to Rethink Benchmarking in Anomaly Detection cites this paper.

We Need to Rethink Benchmarking in Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:29.619729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e6d330-381f-4097-8c0a-48f2aab9ae69 · inbound

Foundation Models and Transformers for Anomaly Detection: A Survey cites this paper.

Foundation Models and Transformers for Anomaly Detection: A Survey Deep Learning for Anomaly Detection: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:49.334575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c4f191-397e-43e4-a4ba-944813b94c2d · inbound

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation cites this paper.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Deep Learning for Anomaly Detection: A Survey

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-19T02:06:58.710700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ef5ef00-ebf8-465f-ac33-e21d3e0d50c5 · inbound

MA-CBP: A Criminal Behavior Prediction Framework Based on Multi-Agent Asynchronous Collaboration cites this paper.

MA-CBP: A Criminal Behavior Prediction Framework Based on Multi-Agent Asynchronous Collaboration Deep Learning for Anomaly Detection: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T22:55:15.223752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248bf690-54e4-44a1-aea4-ce31953871cc · inbound

Anomaly Detection for IoT Global Connectivity cites this paper.

Anomaly Detection for IoT Global Connectivity Deep Learning for Anomaly Detection: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T20:59:58.247369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add6b95d-f588-4d68-981b-7d9bfd639245 · inbound

Shift Detection and Adaptation for Network Intrusion Detection cites this paper.

Shift Detection and Adaptation for Network Intrusion Detection Deep Learning for Anomaly Detection: A Survey

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:34:24.325651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1048dc80-cdb5-44d7-8c43-d24f5ccdc7b8 · inbound

A layered architecture for log analysis in complex IT systems cites this paper.

A layered architecture for log analysis in complex IT systems Deep Learning for Anomaly Detection: A Survey

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T16:48:00.355575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf4c905-42de-4a25-9401-b01fc159c2b0 · inbound

Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection cites this paper.

Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T15:19:07.214940Z

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Observation 30bacbdf-a64e-49f0-997d-92d24f7faaff · inbound

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection cites this paper.

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection Deep Learning for Anomaly Detection: A Survey

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:10:40.758080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0cb08ac-332b-40ab-b29f-788ecd8b865d · inbound

Native Extrapolation Awareness in Flow-Based Conditional Generation cites this paper.

Native Extrapolation Awareness in Flow-Based Conditional Generation Deep Learning for Anomaly Detection: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T23:42:34.354292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49a8130-db3d-4a31-ad03-7abe31fbfb03 · inbound

Stochastic Particle Acceleration during Pressure-Anisotropy-Driven Magnetogenesis in the Pre-Structure Universe cites this paper.

Stochastic Particle Acceleration during Pressure-Anisotropy-Driven Magnetogenesis in the Pre-Structure Universe Deep Learning for Anomaly Detection: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-15T14:51:49.549353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f2ea247-87a7-4a52-a888-117d6a48a452 · inbound

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage cites this paper.

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage Deep Learning for Anomaly Detection: A Survey

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:03:25.239399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0370a428-b630-434a-abed-de0959e6a569 · inbound

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering cites this paper.

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering Deep Learning for Anomaly Detection: A Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:26.533116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee62c57a-4c2b-4527-a9c8-90c5f66abd9b · inbound

Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection cites this paper.

Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection Deep Learning for Anomaly Detection: A Survey

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:19.980979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d074e55-f5d6-477c-892f-0860d572df90 · inbound

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning cites this paper.

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning Deep Learning for Anomaly Detection: A Survey

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:36:08.990715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78533bb4-669e-45b2-b290-ae38bda33e13 · inbound

FactoryBench: Evaluating Industrial Machine Understanding cites this paper.

FactoryBench: Evaluating Industrial Machine Understanding Deep Learning for Anomaly Detection: A Survey

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:53.238871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cac5a61c-0734-4240-b627-1e9343cc6285 · inbound

Beyond Normal References: Discriminative Few-Shot Anomaly Detection cites this paper.

Beyond Normal References: Discriminative Few-Shot Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T04:55:23.668920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94dde1a8-f467-4df3-a2eb-6c713bff93cf · inbound

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers cites this paper.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Deep Learning for Anomaly Detection: A Survey

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-28T18:02:27.436322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24610a2c-dee8-4f2a-a8ad-7291103371c9 · inbound

Testing the Test: Score-Direction Instability in Class-Split Anomaly Detection cites this paper.

Testing the Test: Score-Direction Instability in Class-Split Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T14:14:45.454523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4981e947-7276-408e-94c7-133880c5e5e2 · inbound

Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder cites this paper.

Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder Deep Learning for Anomaly Detection: A Survey

Reference 130

Resolution: verified exact; local_arxiv, observed 2026-06-29T02:12:59.972954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70b68171-2d79-40d7-be3e-2047426e7c84 · inbound

What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics cites this paper.

What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics Deep Learning for Anomaly Detection: A Survey

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:24:21.004917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 782f5615-2782-447c-a855-70c6e800ad90 · inbound

Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning cites this paper.

Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning Deep Learning for Anomaly Detection: A Survey

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:37:18.212168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbd6ea3d-6aa2-45f9-ba43-9151b7260549 · inbound

Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning cites this paper.

Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning Deep Learning for Anomaly Detection: A Survey

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-07-03T22:18:59.138605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8e6559e-9acd-45ed-851e-0f4de15d8194 · inbound

Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning cites this paper.

Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning Deep Learning for Anomaly Detection: A Survey

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-12T10:07:59.312011Z

Source-reported events for the cited work

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Observation 35b2fdd5-7fb1-4d43-90c2-7d3c56d6d202 · inbound

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection cites this paper.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:21:20.391707Z

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Observation 91bafe90-ddf3-4717-a98a-1799fc882ffd · inbound

ZAPs: A Reward Attribution Framework for DeFi Ecosystems with Adversarial-Robust Scoring via Parallel Anomaly Ensemble Detection cites this paper.

ZAPs: A Reward Attribution Framework for DeFi Ecosystems with Adversarial-Robust Scoring via Parallel Anomaly Ensemble Detection Deep Learning for Anomaly Detection: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T00:12:30.481395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.