Paper Citation Record · LEDGER

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2501.01604.

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

pith.paper-citation-record.v1
2501.01604 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:28:54.743038Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

22 of 22 outbound references displayed

verified exact1
verified fuzzy21
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5903e039-07be-43ac-911a-a4f074dbb6d0 · outbound

This paper cites Description and discussion on DCASE 2020 challenge task2: Unsu- pervised anomalous sound detection for machine condition monitoring,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Description and discussion on DCASE 2020 challenge task2: Unsu- pervised anomalous sound detection for machine condition monitoring,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:55.012243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9cf2fb50-4705-415a-8cd5-5ec0b4d7d783 · outbound

This paper cites First-shot unsupervised anomalous sound detection with unknown anomalies estimated by metadata-assisted audio generation,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift First-shot unsupervised anomalous sound detection with unknown anomalies estimated by metadata-assisted audio generation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:55.002205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e518aa2-06c9-40c1-a707-38bcf9dc4dd7 · outbound

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

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Anomalous sound detection using audio representation with machine id based contrastive learning pretraining,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.991365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f505dfbf-e396-4ef2-bfba-e2179d7e1bb5 · outbound

This paper cites Time-weighted frequency domain audio representation with GMM estimator for anoma- lous sound detection,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Time-weighted frequency domain audio representation with GMM estimator for anoma- lous sound detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.980611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a490b46a-7b77-466c-9194-71cbeb39dedf · 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,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Description and discussion on DCASE 2022 challenge task 2: Unsu- pervised anomalous sound detection for machine condition monitoring applying domain generalization techniques,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.970705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ece1e07a-a88f-4aa1-b243-72e0f5ba7c2b · outbound

This paper cites Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.960349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b73e2e7c-2dc3-4cef-8f96-518731b73101 · outbound

This paper cites Learning from synthetic data: Addressing domain shift for semantic segmentation,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Learning from synthetic data: Addressing domain shift for semantic segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.950492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a42af2c1-a7d4-4aa0-9935-9d38b3132123 · outbound

This paper cites Moment matching for multi-source domain adaptation,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Moment matching for multi-source domain adaptation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.940141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 168ab98f-25ab-43bd-aebc-34d106d20f4e · outbound

This paper cites Learning attributes equals multi-source domain generalization,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Learning attributes equals multi-source domain generalization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.929594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 00927a45-ab7c-4ff5-a875-d47ee3effd6f · outbound

This paper cites Hierarchical metadata information constrained self-supervised learning for anomalous sound detection under domain shift,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Hierarchical metadata information constrained self-supervised learning for anomalous sound detection under domain shift,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.919413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8b574b4-8168-464e-b983-fb866092b365 · outbound

This paper cites Description and discussion on DCASE 2021 challenge task 2: Unsupervised anomalous detection for machine condition monitoring under domain shifted conditions,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Description and discussion on DCASE 2021 challenge task 2: Unsupervised anomalous detection for machine condition monitoring under domain shifted conditions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.907777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c88d208e-9e4e-426f-a260-bc2e326a3b51 · outbound

This paper cites AITHU system for unsupervised anomalous detection of machine working status via sounding,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift AITHU system for unsupervised anomalous detection of machine working status via sounding,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.896567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52c844b4-6a49-4c53-ba2b-4e6bbbd3ed1f · outbound

This paper cites An outlier exposed anomalous sound detection system for domain generalization in machine condition monitoring,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift An outlier exposed anomalous sound detection system for domain generalization in machine condition monitoring,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.884954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ddc6576b-dcf4-47a2-ac7e-a3b00bcc9870 · outbound

This paper cites JLESS submission to DCASE 2022 task 2: Batch mixing strategy based method with anomaly detector for anomalous sound detection,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift JLESS submission to DCASE 2022 task 2: Batch mixing strategy based method with anomaly detector for anomalous sound detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.872601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80e8460a-2c5a-4922-975e-d79ce7364473 · outbound

This paper cites The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:28:54.780177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19ce7a5e-03b2-49f3-9d25-f36819cb2a22 · outbound

This paper cites DG-Mix: Domain generalization for anomalous sound detection based on self-supervised learning.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift DG-Mix: Domain generalization for anomalous sound detection based on self-supervised learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.861254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 886fb856-a84e-442e-96c9-7d82f48bae73 · outbound

This paper cites Anomalous sound detec- tion using spectral-temporal information fusion,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Anomalous sound detec- tion using spectral-temporal information fusion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.851141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 942fc59d-4d60-40dd-a93d-08c407071c7d · outbound

This paper cites Focal loss for dense object detection,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Focal loss for dense object detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.840013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 190d7bb1-14cd-49c5-bba9-f78582ff36e5 · outbound

This paper cites Domain-adversarial training of neural networks,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Domain-adversarial training of neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.828974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05ee5c71-d695-48a7-84c0-fe7825ac00ee · outbound

This paper cites Adam: A method for stochastic optimization,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Adam: A method for stochastic optimization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.817281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1ff1a05-1464-4c2a-af93-786a4f7bdce8 · outbound

This paper cites Mixup: Beyond empirical risk minimization,.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Mixup: Beyond empirical risk minimization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.806003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94ea8fc2-eb8d-443f-a166-ebbc27733304 · outbound

This paper cites Visualizing data using t-SNE.

Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift Visualizing data using t-SNE

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:28:54.795035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.