Paper Citation Record · LEDGER

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection

As of 20 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2601.08480.

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

pith.paper-citation-record.v1
2601.08480 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:53:15.301193Z

measured 49 of 49 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

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation 5e8526a1-c69e-438a-afc5-6d7198620660 · outbound

This paper cites Scream and gunshot detection and localization for audio-surveillance systems,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Scream and gunshot detection and localization for audio-surveillance systems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.188893Z

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Observation 8fa653d5-ae2a-4c4a-8b4f-24741e488929 · outbound

This paper cites De- tection and analysis of abnormal situations through fear-type acoustic manifestations,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection De- tection and analysis of abnormal situations through fear-type acoustic manifestations,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.192151Z

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Observation c99c4a3b-3622-4e43-86e0-b3f0bf9268d9 · outbound

This paper cites Unsu- pervised detection of anomalous sound based on deep learning and the neyman–pearson lemma,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Unsu- pervised detection of anomalous sound based on deep learning and the neyman–pearson lemma,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.194760Z

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Observation f52fce91-bc0a-4d1b-9f8b-bbe3154a1268 · outbound

This paper cites A review on machinery di- agnostics and prognostics implementing condition-based maintenance,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection A review on machinery di- agnostics and prognostics implementing condition-based maintenance,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.197288Z

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Observation b6c34ccf-d6d4-4ee6-9e79-8fa71a4e0a97 · outbound

This paper cites Description and discussion on DCASE2020 challenge task2: Unsuper- vised anomalous sound detection for machine condition monitoring,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Description and discussion on DCASE2020 challenge task2: Unsuper- vised anomalous sound detection for machine condition monitoring,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.200115Z

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Observation 5718a6e2-a031-4033-bbff-e3bb22e03ff4 · outbound

This paper cites Complementary set varia- tional autoencoder for supervised anomaly detection,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Complementary set varia- tional autoencoder for supervised anomaly detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.202605Z

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Observation efbd312f-b85c-42b9-819f-d68f6979414d · outbound

This paper cites Non-linear prediction with lstm recurrent neural networks for acoustic novelty detection,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Non-linear prediction with lstm recurrent neural networks for acoustic novelty detection,

Reference 7

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Observation d2610646-b6f2-4095-b093-fe24a4260d3d · outbound

This paper cites Self-supervised classification for detecting anomalous sounds,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Self-supervised classification for detecting anomalous sounds,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.207539Z

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Observation 31511e8e-af1d-480e-a3a5-e545ec109926 · outbound

This paper cites Self-supervised acoustic anomaly detec- tion via contrastive learning,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Self-supervised acoustic anomaly detec- tion via contrastive learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.209836Z

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Observation ec2e9d71-f241-45ce-bdb2-2508b67ded4f · outbound

This paper cites Activity-Guided Industrial Anomalous Sound Detection against Interferences.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Activity-Guided Industrial Anomalous Sound Detection against Interferences

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.212039Z

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Observation 5691b6d5-4546-410e-b730-cc70ce106ec1 · outbound

This paper cites A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.214925Z

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Observation 24a28d11-3273-45fa-a0ea-a967e96a8267 · outbound

This paper cites A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional lstm neural networks,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional lstm neural networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.217149Z

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Observation f3ed4689-96ab-41a5-8b7b-49e826837863 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Arcface: Additive angular margin loss for deep face recognition,

Reference 13

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Observation 5b827828-3910-4788-ab31-a4e234bf4d69 · outbound

This paper cites Revisiting self-supervised visual representation learning,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Revisiting self-supervised visual representation learning,

Reference 14

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Observation 90828c70-e1f2-43a1-ac36-a57b40c2d037 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 15

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Observation 9d423bea-326d-425e-b43d-1f38802de24c · outbound

This paper cites Events detection for an audio- based surveillance system,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Events detection for an audio- based surveillance system,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.226286Z

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Observation 7890bfb9-35a3-420b-9f0c-29ae9907e6c9 · outbound

This paper cites Audio surveillance of roads: A system for detecting anomalous sounds,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Audio surveillance of roads: A system for detecting anomalous sounds,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.228624Z

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Observation 1016bafe-3599-4d4f-8e6a-d1c07b398373 · outbound

This paper cites Recognizing Abnormal Heart Sounds Using Deep Learning.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Recognizing Abnormal Heart Sounds Using Deep Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.230846Z

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Observation 24d7589c-8a3e-409e-9a0b-97267928fcb6 · outbound

This paper cites Fault detection and diagnosis of railway point machines by sound analysis,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Fault detection and diagnosis of railway point machines by sound analysis,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.233983Z

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Observation 659a2cf5-63d9-467f-b14b-23bba1d72530 · outbound

This paper cites A multimodal anomaly detector for robot-assisted feeding using an lstm-based variational autoencoder,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection A multimodal anomaly detector for robot-assisted feeding using an lstm-based variational autoencoder,

Reference 20

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Observation 7f9defed-f1e5-4f0a-ab53-4c47598b0855 · outbound

This paper cites ToyAD- MOS: A dataset of miniature-machine operating sounds for anomalous sound detection,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection ToyAD- MOS: A dataset of miniature-machine operating sounds for anomalous sound detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.238298Z

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Observation f24bb5f8-8460-4674-8f1d-3170a4a09f1e · outbound

This paper cites MIMII dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection MIMII dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,

Reference 22

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Observation 663b2e59-e319-4357-bf0f-00369bb7641a · outbound

This paper cites Toyadmos2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Toyadmos2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions,

Reference 23

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Observation 050f4d3e-1758-47bb-ae56-e38653faf4d2 · outbound

This paper cites Description and discussion on DCASE 2022 challenge task 2: Unsu- pervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Description and discussion on DCASE 2022 challenge task 2: Unsu- pervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.245183Z

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Observation 380aa6f8-f39f-4d92-a353-e1277cebf38b · outbound

This paper cites Transformer-based autoencoder with id constraint for unsupervised anomalous sound detection,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Transformer-based autoencoder with id constraint for unsupervised anomalous sound detection,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.247354Z

Source-reported events for the cited work

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Observation f63e9c23-073d-4af1-b11d-c525683c9a3b · outbound

This paper cites Anomalous sound detection with ensemble of autoencoder and binary classification approaches,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Anomalous sound detection with ensemble of autoencoder and binary classification approaches,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.249468Z

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Observation 7199a168-9c59-4fda-9d98-fd80b4c52aa0 · outbound

This paper cites Representational learning for an anomalous sound detection system with source separation model,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Representational learning for an anomalous sound detection system with source separation model,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.251611Z

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Observation 8bf480b2-0959-4fc5-ba75-49637823b091 · outbound

This paper cites Unsupervised anomalous sound detection for industrial monitoring based on arcface classifier and gaussian mixture model,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Unsupervised anomalous sound detection for industrial monitoring based on arcface classifier and gaussian mixture model,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.253722Z

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Observation de0b3a5b-b77b-47e8-8793-1bf25830badc · outbound

This paper cites Why do angular margin losses work well for semi-supervised anomalous sound detection?.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Why do angular margin losses work well for semi-supervised anomalous sound detection?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.256086Z

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Observation 2a8fed5b-2892-43c9-b388-f1660851ff19 · outbound

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

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection A simple framework for contrastive learning of visual representations,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.258264Z

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Observation b9aaa0dc-cc30-4576-939b-9661aa2098df · outbound

This paper cites Exploring simple siamese representation learning,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Exploring simple siamese representation learning,

Reference 31

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Observation 2b552eca-84b7-4ff2-ada7-bb6a2dcb0a03 · outbound

This paper cites Anomalous sound detection using audio representation with machine id based contrastive learning pretraining,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Anomalous sound detection using audio representation with machine id based contrastive learning pretraining,

Reference 32

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Observation 0ee47b9f-1b44-48b2-b38b-b9af80c234d7 · outbound

This paper cites BEATs: Audio Pre-Training with Acoustic Tokenizers.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection BEATs: Audio Pre-Training with Acoustic Tokenizers

Reference 33

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Observation 0b193d5c-c354-413f-8ed2-36dd74c775ae · outbound

This paper cites EAT: Self-Supervised Pre-Training with Efficient Audio Transformer.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

Reference 34

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Observation 05b140bd-36d8-4c5f-a632-3f7619062f00 · outbound

This paper cites Pre-trained model enhanced anomalous sound detection system for dcase2025 task2,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Pre-trained model enhanced anomalous sound detection system for dcase2025 task2,

Reference 35

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This paper cites Genrep for first-shot unsupervised anomalous sound detection of dcase 2025 challenge,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Genrep for first-shot unsupervised anomalous sound detection of dcase 2025 challenge,

Reference 36

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Observation cf5e2469-0322-4c8c-85df-899fe957e6c3 · outbound

This paper cites Visualizing data using t-sne,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Visualizing data using t-sne,

Reference 37

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This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 38

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This paper cites Understanding intermediate layers using linear classifier probes.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Understanding intermediate layers using linear classifier probes

Reference 39

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Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Designing and Interpreting Probes with Control Tasks

Reference 40

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This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Understanding contrastive representation learning through alignment and uniformity on the hypersphere,

Reference 41

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This paper cites How well do self- supervised models transfer?.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection How well do self- supervised models transfer?

Reference 42

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This paper cites Decoupled Weight Decay Regularization.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Decoupled Weight Decay Regularization

Reference 43

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Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Deep residual learning for image recognition,

Reference 44

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This paper cites Anomalous sound detection based on sound separation,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Anomalous sound detection based on sound separation,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T10:53:15.292599Z

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This paper cites Cmgan: Conformer-based metric- gan for monaural speech enhancement,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Cmgan: Conformer-based metric- gan for monaural speech enhancement,

Reference 46

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Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Conformer: Convolution-augmented transformer for speech recognition,

Reference 47

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This paper cites Audio set: An ontology and human- labeled dataset for audio events,.

Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Audio set: An ontology and human- labeled dataset for audio events,

Reference 48

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Observation e10cf1f7-46b9-4df9-be82-9fc306f31b32 · outbound

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Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection Sdr–half-baked or well done?

Reference 49

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