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Paper Citation Record · LEDGER

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.02471.

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

pith.paper-citation-record.v1
2509.02471 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:21.180862Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy27
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4616288f-f979-4479-9aee-7f6bdbb51b27 · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring,

Reference 1

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c65d98f7-02c5-47fd-9ee0-4184ece0c4d7 · outbound

This paper cites Anomalous sound detection based on interpolation deep neural network,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Anomalous sound detection based on interpolation deep neural network,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dbe8f45a-19bf-426f-91ca-170b66f02e96 · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Self-supervised classification for detecting anomalous sounds,

Reference 3

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cb507ec8-20a3-4956-bfbd-089554dfb975 · outbound

This paper cites ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection

Reference 4

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local_arxiv, observed 2026-08-05T11:39:21.654119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a1b0fa75-187c-477b-b7a3-e0082208aa22 · outbound

This paper cites Flow- based self-supervised density estimation for anomalous sound detection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Flow- based self-supervised density estimation for anomalous sound detection,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a0ea5a19-e88a-4a25-82e2-f090e528e047 · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Anomalous sound detection using spectral-temporal information fusion,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a8b10445-c5bc-4935-9661-4694e4decc02 · outbound

This paper cites Sw-wavenet: learn- ing representation from spectrogram and wavegram using wavenet for anomalous sound detection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Sw-wavenet: learn- ing representation from spectrogram and wavegram using wavenet for anomalous sound detection,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 792cb9b2-2328-4d67-a7df-814cf7cc203b · outbound

This paper cites Noise supervised contrastive learning and feature-perturbed for anomalous sound detection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Noise supervised contrastive learning and feature-perturbed for anomalous sound detection,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 317a68d0-bf2c-49ac-ab17-a74d176545b6 · outbound

This paper cites Noisy-arcmix: Additive noisy angular margin loss combined with mixup for anomalous sound de- tection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Noisy-arcmix: Additive noisy angular margin loss combined with mixup for anomalous sound de- tection,

Reference 9

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b3e11751-eeed-4653-baf4-f65a16e53f51 · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection First- shot unsupervised anomalous sound detection with unknown anomalies estimated by metadata-assisted audio generation,

Reference 10

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c9ad019a-3d9a-4423-8a6c-1e92c2d61424 · outbound

This paper cites A dual- path framework with frequency-and-time excited network for anomalous sound detection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection A dual- path framework with frequency-and-time excited network for anomalous sound detection,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 254f7ead-6396-4ec9-8ae5-d8d755eaaa3e · outbound

This paper cites Time-weighted frequency domain audio representation with gmm estimator for anomalous sound detection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Time-weighted frequency domain audio representation with gmm estimator for anomalous sound detection,

Reference 12

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7efe5e66-2cba-4ab7-bb9d-ed0d1dfb060d · outbound

This paper cites Cst-former: Transformer with channel-spectro-temporal attention for sound event localization and detection,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Cst-former: Transformer with channel-spectro-temporal attention for sound event localization and detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 23221252-525e-46db-b88a-6278b51a98a1 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3e1b739-67dd-4420-9293-835f6823e10b · outbound

This paper cites Transformers are ssms: generalized models and efficient algorithms through structured state space duality,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Transformers are ssms: generalized models and efficient algorithms through structured state space duality,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cdc97766-d2cc-49b3-9128-99eea18c375e · outbound

This paper cites Selective structured state-spaces for long- form video understanding,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Selective structured state-spaces for long- form video understanding,

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation aebbd9dd-40a5-449e-ae23-cc8e64ebef56 · outbound

This paper cites TF-Mamba: A Time-Frequency Network for Sound Source Localization.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection TF-Mamba: A Time-Frequency Network for Sound Source Localization

Reference 17

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local_arxiv, observed 2026-08-05T11:39:21.413611Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2f5e31a8-a050-457a-ba7a-939bbc06c1af · outbound

This paper cites Audio mamba: Bidirectional state space model for audio representation learning,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Audio mamba: Bidirectional state space model for audio representation learning,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c508b44-d492-4bc9-bdb8-d4e1b34103be · outbound

This paper cites Ssamba: Self-supervised audio representation learning with mamba state space model,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Ssamba: Self-supervised audio representation learning with mamba state space model,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ea944e81-626f-4402-b62b-159ceedc9c53 · outbound

This paper cites Mamba in speech: Towards an alternative to self-attention,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Mamba in speech: Towards an alternative to self-attention,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9ec49f98-4851-40bb-b751-e79186fd3c2d · outbound

This paper cites Pooling Methods in Deep Neural Networks, a Review.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Pooling Methods in Deep Neural Networks, a Review

Reference 21

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no resolver link, observed 2026-08-05T11:39:20.632510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:20.632510Z digest=sha256:be9b7440e99e8fc2161bcdbf3a656aba30186a3eb391390b89b1b5095814f32b

Observation 5a6e0218-fcda-4568-86b1-afb761fbdaf4 · outbound

This paper cites Root mean square layer normalization,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Root mean square layer normalization,

Reference 22

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raw_fallback, observed 2026-08-05T11:39:24.330132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 445c56da-9dc1-4b2f-8408-e8ab4d19e393 · outbound

This paper cites Spectral conversion based on maximum likelihood estimation considering global variance of converted parameter,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Spectral conversion based on maximum likelihood estimation considering global variance of converted parameter,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d1e051c4-d679-4232-bc76-e1ea1c09d611 · outbound

This paper cites Anomalous sound detection using self-attention-based frequency pattern analysis of machine sounds,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Anomalous sound detection using self-attention-based frequency pattern analysis of machine sounds,

Reference 24

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raw_fallback, observed 2026-08-05T11:39:23.676639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a278de02-e092-4eb5-9327-27126a6fa304 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 25

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raw_fallback, observed 2026-08-05T11:39:23.378002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation faf4223f-8d63-40fd-810a-3e441388275e · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Arcface: Additive angular margin loss for deep face recognition,

Reference 26

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raw_fallback, observed 2026-08-05T11:39:23.104231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a7604022-0f59-46d5-9ade-2bf321fd3aa4 · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ec206e36-74c1-415b-b593-be4d3ceca394 · outbound

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

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection ToyADMOS: A dataset of miniature-machine operating sounds for anomalous sound detection,

Reference 28

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raw_fallback, observed 2026-08-05T11:39:22.593414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 56d5e2ea-71e8-48f2-9229-9fd51b0085b9 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 29

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raw_fallback, observed 2026-08-05T11:39:22.430880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8281ae4b-542c-4229-a272-988003e43bd4 · outbound

This paper cites Decoupled weight decay regulariza- tion,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection Decoupled weight decay regulariza- tion,

Reference 30

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raw_fallback, observed 2026-08-05T11:39:22.139789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 67053521-d4c1-4eb9-891c-e3e2dd706b64 · outbound

This paper cites t-distributed stochastic neighbor em- bedding (t-sne): A tool for eco-physiological transcriptomic analysis,.

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection t-distributed stochastic neighbor em- bedding (t-sne): A tool for eco-physiological transcriptomic analysis,

Reference 31

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raw_fallback, observed 2026-08-05T11:39:21.969062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.