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Paper Citation Record · LEDGER

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice

As of 20 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2608.10054.

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

pith.paper-citation-record.v1
2608.10054 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:19:15.734750Z

measured 72 of 72 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

72 of 72 outbound references displayed

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External citation measurements

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Outbound references

Observation 78591bc6-440c-4cee-a776-8c2b1363e96a · outbound

This paper cites an unresolved cited work.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Unresolved cited work

Reference 1

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Observation 343f0361-d61d-4f39-a235-68556b6481bf · outbound

This paper cites Schnitzler and E.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Schnitzler and E

Reference 2

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Observation 545466bc-3d8b-4ab5-be19-1d0012636d5e · outbound

This paper cites Types and functions of ultrasonic vocalizations in laboratory rats and mice,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Types and functions of ultrasonic vocalizations in laboratory rats and mice,

Reference 3

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Observation b2ddb591-d403-487d-902c-d63a2e1957fd · outbound

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Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Unresolved cited work

Reference 4

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Observation 11560cc5-53c8-4331-8efe-4dcb507d794f · outbound

This paper cites Suppression of acoustic noise in speech using spectral subtrac- tion,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Suppression of acoustic noise in speech using spectral subtrac- tion,

Reference 5

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Observation 4c0f9492-bace-4bf3-ae66-1a50c1ad522a · outbound

This paper cites Bioacoustic signal denoising: a review,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Bioacoustic signal denoising: a review,

Reference 6

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Observation 21c9e834-48ee-45a3-bbab-73cc9d05bf9e · outbound

This paper cites Transfer learning for denoising the echolocation clicks of finless porpoise (neophocaena phocaenoides sunameri) using deep convolutional autoencoders,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Transfer learning for denoising the echolocation clicks of finless porpoise (neophocaena phocaenoides sunameri) using deep convolutional autoencoders,

Reference 7

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Observation e7bed102-008c-475f-8bba-42de3fa16664 · outbound

This paper cites Robust north atlantic right whale detection using deep learning models for denoising,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Robust north atlantic right whale detection using deep learning models for denoising,

Reference 8

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Observation 33c18cd1-ea9c-4830-991f-65002cb580ec · outbound

This paper cites Synthetic training set generation using text-to-audio models for environmental sound classification,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Synthetic training set generation using text-to-audio models for environmental sound classification,

Reference 9

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Observation 14201c6f-7d45-485d-8044-33d80a0c1bcd · outbound

This paper cites Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity,

Reference 10

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Observation 05ed15ee-de61-4e27-adf2-76a816ac447f · outbound

This paper cites Age-group estimation in free-ranging african elephants based on acoustic cues of low-frequency rumbles,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Age-group estimation in free-ranging african elephants based on acoustic cues of low-frequency rumbles,

Reference 11

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Observation b37109e8-b91e-4e03-964f-dc5953ba6be9 · outbound

This paper cites Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female,

Reference 12

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Source-reported events for the cited work

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Observation 440846c3-c1b0-4f2c-b91f-6abc8a75b128 · outbound

This paper cites Ultrasonic courtship vocalizations of male house mice contain distinct individual signatures,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Ultrasonic courtship vocalizations of male house mice contain distinct individual signatures,

Reference 13

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Source-reported events for the cited work

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Observation 80ae7c2b-a33e-4199-8660-3670706cb1fe · outbound

This paper cites Individual vocal recognition across taxa: a review of the literature and a look into the future,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Individual vocal recognition across taxa: a review of the literature and a look into the future,

Reference 14

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Source-reported events for the cited work

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Observation b409bf24-568a-4a77-8c94-3296b9bbff72 · outbound

This paper cites V ocal individual discrimination in japanese monkeys,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice V ocal individual discrimination in japanese monkeys,

Reference 15

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Observation 388b1aa7-363b-44e2-a677-1579ed745a60 · outbound

This paper cites Robust multicomponent tracking of ultrasonic vocalizations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Robust multicomponent tracking of ultrasonic vocalizations,

Reference 16

Resolution
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Observation 7afae4e8-a920-47a3-989d-e6028ec82bd9 · outbound

This paper cites Courtship vocalizations of wild house mice show highly dynamic changes and correlate with male copulatory success,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Courtship vocalizations of wild house mice show highly dynamic changes and correlate with male copulatory success,

Reference 17

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Observation bcc23423-e5eb-48be-af5f-3c4cea582f02 · outbound

This paper cites Marmaudio: A large annotated dataset of vocalizations by common marmosets,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Marmaudio: A large annotated dataset of vocalizations by common marmosets,

Reference 18

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Observation e0dd87d8-d186-4a87-9454-5f2b30c4461a · outbound

This paper cites F0 estimation for bioacoustics: A benchmark/training dataset of non-human vocalisations with annotated frequency contours,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice F0 estimation for bioacoustics: A benchmark/training dataset of non-human vocalisations with annotated frequency contours,

Reference 19

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Observation a8684d28-01d3-427f-a3ef-56bf680d5949 · outbound

This paper cites Male mice ultrasonic vocalizations enhance female sexual approach and hypothalamic kisspeptin neuron activity,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Male mice ultrasonic vocalizations enhance female sexual approach and hypothalamic kisspeptin neuron activity,

Reference 20

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Observation f243c57b-3abc-4b8e-92b4-9995645c15a8 · outbound

This paper cites Ultrasonic vocalizations in house mice depend upon genetic relatedness of mating partners and correlate with subsequent reproductive success,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Ultrasonic vocalizations in house mice depend upon genetic relatedness of mating partners and correlate with subsequent reproductive success,

Reference 21

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Observation 786fd9c7-9237-4596-b44d-37df79264bd6 · outbound

This paper cites Male mice song syntax depends on social contexts and influences female preferences,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Male mice song syntax depends on social contexts and influences female preferences,

Reference 22

Resolution
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Source-reported events for the cited work

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Observation ee1ecd45-ea9f-4c5d-9366-c9ca25acc3f5 · outbound

This paper cites Speech enhancement based on a priori signal to noise estimation,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Speech enhancement based on a priori signal to noise estimation,

Reference 23

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Observation f8d8dbd6-4127-4bce-937c-ae9418fbe9f6 · outbound

This paper cites Birdsong denoising using wavelets,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Birdsong denoising using wavelets,

Reference 24

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Observation 451ddf2a-d3ff-4149-bfe0-b41b4993622c · outbound

This paper cites Acoustic detection of elephant presence in noisy environments,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Acoustic detection of elephant presence in noisy environments,

Reference 25

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Observation 7c817c01-19e3-46d0-9fa6-9fc9c1141e9b · outbound

This paper cites Noisereduce: Domain General Noise Reduction for Time Series Signals.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Noisereduce: Domain General Noise Reduction for Time Series Signals

Reference 26

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Observation 65ebf698-72a9-4525-af12-4a38755cecf2 · outbound

This paper cites Mu- pet—mouse ultrasonic profile extraction: a signal processing tool for rapid and unsupervised analysis of ultrasonic vocalizations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Mu- pet—mouse ultrasonic profile extraction: a signal processing tool for rapid and unsupervised analysis of ultrasonic vocalizations,

Reference 27

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Observation 29d9b310-d540-41cf-bfb4-d0d38ab06e20 · outbound

This paper cites Usvseg: A robust method for segmentation of ultrasonic vocalizations in rodents,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Usvseg: A robust method for segmentation of ultrasonic vocalizations in rodents,

Reference 28

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Source-reported events for the cited work

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Observation fcc13e3e-00cd-4211-a66b-41d7166d18c4 · outbound

This paper cites Improved wavelet denoising via empirical wiener filtering,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Improved wavelet denoising via empirical wiener filtering,

Reference 29

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Source-reported events for the cited work

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Observation af66c88a-8cd1-400b-8833-d1326c1a112a · outbound

This paper cites Multitaper time-frequency reassignment for nonstationary spectrum estimation and chirp enhancement,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Multitaper time-frequency reassignment for nonstationary spectrum estimation and chirp enhancement,

Reference 30

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Source-reported events for the cited work

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Observation 855559e5-502d-4d39-8458-951a848ea2ef · outbound

This paper cites Improving the readability of time-frequency and time-scale representations by the method of re-assigment,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Improving the readability of time-frequency and time-scale representations by the method of re-assigment,

Reference 31

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Source-reported events for the cited work

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Observation 2eea9b83-7638-4613-a97c-cdde6366fba0 · outbound

This paper cites Bioacoustic processing and analyses of mouse vocalizations: current methods and future directions,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Bioacoustic processing and analyses of mouse vocalizations: current methods and future directions,

Reference 32

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Source-reported events for the cited work

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Observation 1d7b3734-66de-4219-b27c-601aef013f2c · outbound

This paper cites Low-latency single channel speech enhancement using u-net convolutional neural networks,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Low-latency single channel speech enhancement using u-net convolutional neural networks,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cc3af22b-c515-457a-879b-a4c1414c3fdf · outbound

This paper cites Deep learning for denoising,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Deep learning for denoising,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.573675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.635504Z digest=sha256:afa55725fd37a115e7d2cd8cdf069a99ebf4729b7ce68f5f79c1053612a97bf8

Observation f5f85be7-53d8-4692-b4e9-ba6110fc717b · outbound

This paper cites Automatic acoustic detection of birds through deep learning: the first bird audio detection challenge,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Automatic acoustic detection of birds through deep learning: the first bird audio detection challenge,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.466759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.665020Z digest=sha256:8dc4fafec8d9d00034956055500c7f27aed6b49f12050b334a6e6911ba27233f

Observation f9e359f4-f1bd-41dd-84c1-cfd789542288 · outbound

This paper cites Hybridmouse: a hybrid convolutional-recurrent neural network-based model for identification of mouse ultrasonic vocalizations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Hybridmouse: a hybrid convolutional-recurrent neural network-based model for identification of mouse ultrasonic vocalizations,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.430768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.693089Z digest=sha256:9ae087d6fa7a4462d4dc2812fe3f038120c6034492b9ce747131e1acc3596d2e

Observation 78e3ea7d-d45e-44db-a3be-569c8e25a8a9 · outbound

This paper cites Automated bat call classification using deep convolutional neural networks,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Automated bat call classification using deep convolutional neural networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.319259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.718831Z digest=sha256:c0321e184d3b5d965d8185a31315817920d2d8faeb3ecdac32d79a18e1ae5a0e

Observation 4863ae1b-d67d-40fa-aaf8-4b9320e50313 · outbound

This paper cites Birdvoxdetect: Large-scale detection and classification of flight calls for bird migration monitoring,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Birdvoxdetect: Large-scale detection and classification of flight calls for bird migration monitoring,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.254814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.774331Z digest=sha256:4e0e2bc2a578129836f68d9dd6694d42893f31913d1442471469f9de9c1764f8

Observation 0c217e3a-f345-43ca-a996-c0750577f29b · outbound

This paper cites Automatic bioacoustics noise reduction method based on a deep feature loss network,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Automatic bioacoustics noise reduction method based on a deep feature loss network,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.144757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.824763Z digest=sha256:10101333f1c0536adfaf05eba39c569e9e2cabf7b72938a621097831d6723866

Observation dd8d428a-46c0-4517-9efa-f13455977a43 · outbound

This paper cites A deep autoencoder approach to bird call enhancement,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice A deep autoencoder approach to bird call enhancement,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:18.066455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.867383Z digest=sha256:07e3f9e8adf5be6b0f43532a45dfe5338e6ab8a445fbcb10d18b6908d7a901d2

Observation d5ffed93-f772-4ac0-bb76-74ac362e9f7b · outbound

This paper cites Real time speech enhancement in the waveform domain,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Real time speech enhancement in the waveform domain,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.984746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.875202Z digest=sha256:dfc32309584a0c9bd6507e59563bbe17e0dd7d15bb2173874c75a7a1e663217f

Observation 4da6c2df-948f-4c0d-ad77-540dd5054e8c · outbound

This paper cites Singing voice separation with deep u-net convolutional networks,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Singing voice separation with deep u-net convolutional networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.912068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.883125Z digest=sha256:e062d2176d2073fe7d5e4cf5588ccad90c1ef16356bbb37f363cc9ebdbe457f0

Observation a63889d4-c6a4-427d-ab8c-8873b10b267a · outbound

This paper cites Speech derever- beration using fully convolutional networks,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Speech derever- beration using fully convolutional networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.885510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.899540Z digest=sha256:cabcdaef8ac20eacd3ecb5dea22481d9a10926199930ae0b22c7cf715a63f262

Observation b15f31c4-7303-4950-9b42-4f5e78675089 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice U-net: Convolutional networks for biomedical image segmentation,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T04:19:14.933394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:19:14.933394Z digest=sha256:8bd2d02e541d4f3d43044049877b8a0cab54d733a65adea7cefe36765c9fa960

Observation 4280ea65-18da-4c97-b0c5-7c08a029ef37 · outbound

This paper cites an unresolved cited work.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T04:19:14.938672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:19:14.938672Z digest=sha256:ab208c27c5246ed4b266533dd53f507f6ea21a8b2f8e3fc45cc169e8fdd3e784

Observation 2c6f32f2-689c-4684-a6fc-5eeb65258f26 · outbound

This paper cites Computational bioacoustics with deep learning: a review and roadmap,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Computational bioacoustics with deep learning: a review and roadmap,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T04:19:14.968266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:19:14.968266Z digest=sha256:34d55a06c6941ca1c11152150582026126e0becdfc8ad5dcb6ac67cfba8110a3

Observation da526063-7cfd-4e2e-b96e-95bfd67032fe · outbound

This paper cites Biodenoising: animal vocalization denoising without access to clean data,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Biodenoising: animal vocalization denoising without access to clean data,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.784380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:14.997993Z digest=sha256:d17a39b70189f106f15d2a2b2f39f20b582f28d33585657cbbdd5263a315599a

Observation 2b015b1c-1358-4dc7-ab79-4ec8585109c9 · outbound

This paper cites Synthetic data enables context-aware bioacoustic sound event detection.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Synthetic data enables context-aware bioacoustic sound event detection

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:19:15.932774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.009605Z digest=sha256:83686116a4bf28338c93c63a2eb931a53f76262e488bc380f890094ca60f9543

Observation 99c36ede-99aa-4eda-b1f5-e2920f7ed394 · outbound

This paper cites Automatic recognition of harmonic bird sounds using a frequency track extraction algorithm,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Automatic recognition of harmonic bird sounds using a frequency track extraction algorithm,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.750327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.029437Z digest=sha256:95239bb111bc5805f860f29b2ecc3c462e8ef8d0c6e007cc5816f864f83f88f9

Observation 9a4b6002-9fe8-40da-b552-b49b56fa279b · outbound

This paper cites Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Using deep learning to track time × frequency whistle contours of toothed whales without human-annotated training data,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.686577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.058830Z digest=sha256:def5ca08070b552b509eb4fea9628c9330bff040e7dcdf242b9ccf43eeaf8dc7

Observation d73a3f36-bd86-4e6b-bb7d-0f14cfb9c460 · outbound

This paper cites Bioacoustic fundamental frequency estimation: a cross-species dataset and deep learning baseline,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Bioacoustic fundamental frequency estimation: a cross-species dataset and deep learning baseline,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.638471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.090092Z digest=sha256:dae94ae04d059e5fef1c67e515800dd1ec6d1e8d9badca3905deee06eba2fb9a

Observation 0b1e5da8-93e2-483f-8cac-e174f76552a1 · outbound

This paper cites Automated extraction of dolphin whistles—a sequential monte carlo probability hypothesis density approach,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Automated extraction of dolphin whistles—a sequential monte carlo probability hypothesis density approach,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.603767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.108569Z digest=sha256:08e5ba4b9e1f56585efbd967d174a5d0ddbed3990a6850e8cadb035db666a356

Observation 6625c1ea-890a-454c-8733-bb633875060a · outbound

This paper cites Maturation of social-vocal communication in prairie vole (microtus ochrogaster) pups,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Maturation of social-vocal communication in prairie vole (microtus ochrogaster) pups,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.565739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.143129Z digest=sha256:d1d6aff373ce9dbf451b752e557dd623deeef98bb2efd2c1ccb782ef35c2f862

Observation 44748496-88ac-4ddb-94a2-201c5529c895 · outbound

This paper cites Biocppnet: automatic bioacoustic source separation with deep neural networks,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Biocppnet: automatic bioacoustic source separation with deep neural networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.499647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.170461Z digest=sha256:4373f1cac16c1ec04f6bdc9726b309be7fe51c76d6117917a794f3e2c256c810

Observation 2d92e4f7-51ad-42a8-9bf3-1112cb55a446 · outbound

This paper cites Rajbamshi, P.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Rajbamshi, P

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.462296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.190083Z digest=sha256:df67e8954141376738a92c0f7bb9881911561e4ccfbe1f0d0b6fd4866e9b7710

Observation 9a466e6b-cf42-4abc-8645-4b8d82c18f53 · outbound

This paper cites Complex ratio masking for monaural speech separation,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Complex ratio masking for monaural speech separation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.391277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.206225Z digest=sha256:677038301be8c45646c5a7e3badc48c306ae5f789a407c9873a4b65b35de5d91

Observation eade68b4-7374-42e0-a192-ae150a4f5826 · outbound

This paper cites Short term spectral analysis, synthesis, and modification by discrete fourier transform,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Short term spectral analysis, synthesis, and modification by discrete fourier transform,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.351415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.224289Z digest=sha256:7ad4d7f5493aa63030698f7dd1d65ede2dd536e4c8e9d45ba977a4955ec9a681

Observation 15679526-250e-49a8-9e95-675e94846f3b · outbound

This paper cites Calculation of a constant q spectral transform,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Calculation of a constant q spectral transform,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.315741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.242935Z digest=sha256:b0304238ffc6d76ec7925bce109c189afde2000cc14a6e61fb5ca3be30f65fa3

Observation de6a0708-6a92-49a9-bca4-a8c4f122f17b · outbound

This paper cites Uncertainty principles for time-frequency representations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Uncertainty principles for time-frequency representations,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.225703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.253140Z digest=sha256:16a49a6c14c9f98705a802f2fecd0acc8e14783514d223bf67095bf420d510a0

Observation 678b61f9-9985-47bb-aac3-4711ec5cb444 · outbound

This paper cites Reassignment and synchrosqueezing for general time–frequency filter banks, subsampling and processing,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Reassignment and synchrosqueezing for general time–frequency filter banks, subsampling and processing,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.166523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.282255Z digest=sha256:5975454f8b19b919e59be7de815d0cf549a00512ec0a79ed7bc54a5f8e41dad9

Observation 8bfe4a70-2870-488b-a65e-812c2d948efa · outbound

This paper cites A fast griffin-lim algorithm,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice A fast griffin-lim algorithm,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.106737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.314752Z digest=sha256:3fd2986d7b86ce916fbe1f8d15e4111679f3bf1969b877abfb4024e02b801e07

Observation bd9e34e6-a1f5-4dc7-9200-d74b968f86e2 · outbound

This paper cites Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:17.024912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.351921Z digest=sha256:da888e4db52277dc789e8fa6b99f7a67e3ec7db4bc077a22e922a8a1b299dc9a

Observation c2d49da5-07e9-4f68-b3a4-1f1e444530ff · outbound

This paper cites Deepsqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Deepsqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:16.944825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.384145Z digest=sha256:b706e2528918ed0563405f0347f1550314110325f59bae7ba1111584590229d4

Observation 430e7800-b900-4332-9325-4bc449eba99e · outbound

This paper cites Female presence and estrous state influence mouse ultrasonic courtship vocalizations,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Female presence and estrous state influence mouse ultrasonic courtship vocalizations,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:16.855057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.425876Z digest=sha256:ff5d1600b80280b9d3a044989c116d0fd7688be8734b8f955c208dc7814e4e78

Observation 2429539c-b528-4d7e-959b-2c26d62ada2c · outbound

This paper cites Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (bootsnap),.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (bootsnap),

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:16.745522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.464753Z digest=sha256:29f7115eaeb66fca4d13a3856304a279f48640472406a9643603c7e03d3af7bc

Observation d42a2597-1a5a-4f7f-850c-13693c437c0b · outbound

This paper cites librosa: Audio and music signal analysis in python.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice librosa: Audio and music signal analysis in python

Reference 66

Resolution
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no resolver link, observed 2026-08-14T04:19:15.504797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:19:15.504797Z digest=sha256:53bd407562212f856d72821a4c67b8d43b64958d268abc62aebce8501de2f8d7

Observation c4fc35e7-05bd-471d-a7f3-3a89aa0aee52 · outbound

This paper cites The large time-frequency analysis toolbox 2.0,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice The large time-frequency analysis toolbox 2.0,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:16.647022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:19:15.534608Z digest=sha256:36e35b3f2c7cfe35cf60baf6c71fb59d1da17e7aa009f11d98ff8d48c9b6e57f

Observation 1e0dd395-819f-4610-a0cc-e08abc2c8b01 · outbound

This paper cites The linear time frequency analysis toolbox,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice The linear time frequency analysis toolbox,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:19:16.555595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0b911c5b-157a-458a-8f65-9acf8a6ca612 · outbound

This paper cites A framework for invertible, real-time constant-Q transforms,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice A framework for invertible, real-time constant-Q transforms,

Reference 69

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Observation dd86c069-9d87-4d1d-aabd-388fd3795538 · outbound

This paper cites Sdr–half-baked or well done?.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Sdr–half-baked or well done?

Reference 70

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Observation 638f6b0f-c4cc-42a0-a8aa-674f5cd85208 · outbound

This paper cites Melody extraction from polyphonic music signals: Approaches, applications, and challenges,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Melody extraction from polyphonic music signals: Approaches, applications, and challenges,

Reference 71

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Observation 0f7ee701-5691-4209-9291-bd19752792e4 · outbound

This paper cites Improving bird classification with unsupervised sound separation,.

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice Improving bird classification with unsupervised sound separation,

Reference 72

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Pith citing papers

No inbound Pith citation observations are available.