Paper Citation Record · LEDGER

Deep Learning for Anomaly Detection: A Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 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 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:19:07.214940Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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

No source-named external measurement is stored.

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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+00:00.

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 2026-08-04T06:34:03.388597+00:00.

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 2026-08-04T06:34:03.388597+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.