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Paper Citation Record · LEDGER

Frequency Dynamic Convolutions for Sound Event Detection

As of 12 August 2026, this Paper Citation Record lists 100 of 145 outbound references and 1 inbound Pith citation observation for arXiv:2506.12785.

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

pith.paper-citation-record.v1
2506.12785 v1

Coverage vector

measured 100 of 145 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:00.214066Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:55:00.075447Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:55:00.763800Z

Reference resolution

100 of 145 outbound references displayed

  • verified exact4
  • verified fuzzy20
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 539661d7-a3e5-4e90-9b0c-5f95a67c4e14 · outbound

This paper cites Virtanen, M.

Frequency Dynamic Convolutions for Sound Event Detection Virtanen, M

Reference 1

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source=pdf_text observed=2026-08-07T00:48:48.929412Z digest=sha256:8121c451742895345c31471154591c6928b05437db8a2fa0e3d0fd17cf4e6827

Observation 009ef111-9c0e-48ea-addf-e2cf7a9f0f9a · outbound

This paper cites Sound event detection in domestic environ- ments with weakly labeled data and soundscape synthesis,.

Frequency Dynamic Convolutions for Sound Event Detection Sound event detection in domestic environ- ments with weakly labeled data and soundscape synthesis,

Reference 2

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source=pdf_text observed=2026-08-07T00:48:49.028538Z digest=sha256:b8321dd4b1d47d20da4e9b880e1a0b30109a3200a08e5a130f953a066fd28da9

Observation d5863fd5-0920-4c1f-8dc9-c3aa8e8e5e32 · outbound

This paper cites Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection,

Reference 3

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source=pdf_text observed=2026-08-07T00:48:49.135308Z digest=sha256:8f9c123cc65b2dfa2b8cbf3360ba0a4bb2986c8ce12a11689c137b4c0e4fc2bf

Observation baf657a8-564c-425f-ade3-8c74096c6731 · outbound

This paper cites Metrics for Polyphonic Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Metrics for Polyphonic Sound Event Detection,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:49.215355Z digest=sha256:694a5991226bc50fb760ce4afaee0595616e9c633e249c787053b514819ebe5a

Observation b698f6a4-51d7-4cc4-ad3f-dd26681dfc21 · outbound

This paper cites Scaper: A library for soundscape synthesis and augmentation.

Frequency Dynamic Convolutions for Sound Event Detection Scaper: A library for soundscape synthesis and augmentation

Reference 6

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source=pdf_text observed=2026-08-07T00:48:49.421142Z digest=sha256:b925979b3134720ba11fdb067dc3c32a0fbcc9b1350c8c2a37de53e38a3d754e

Observation bd49262b-7575-4dfb-bb24-997b33b1fb4d · outbound

This paper cites Study on Frequency Dependent Convolution Methods for Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Study on Frequency Dependent Convolution Methods for Sound Event Detection,

Reference 7

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source=pdf_text observed=2026-08-07T00:48:49.490376Z digest=sha256:42bfec29ee12909b7ab89f92cdfa7b6b7f8ef3fa16c7740438a629e8f7a79126

Observation 8f6a84cc-8e1a-4027-aa10-b4e2c3453f8c · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition,.

Frequency Dynamic Convolutions for Sound Event Detection SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition,

Reference 8

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Observation b3829ef3-f868-41f5-a815-d801968543df · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition,.

Frequency Dynamic Convolutions for Sound Event Detection Conformer: Convolution-augmented Transformer for Speech Recognition,

Reference 9

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source=pdf_text observed=2026-08-07T00:48:49.729709Z digest=sha256:aa45903e3a011a290f18b90e8515a4e77d0844c34daf4645d4e446ec880c806d

Observation 25971b3c-4244-4ef1-95cd-98e32d4284f6 · outbound

This paper cites Coherence-Based Phonemic Analysis on the Effect of Reverberation to Practical Automatic Speech Recognition,.

Frequency Dynamic Convolutions for Sound Event Detection Coherence-Based Phonemic Analysis on the Effect of Reverberation to Practical Automatic Speech Recognition,

Reference 10

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source=pdf_text observed=2026-08-07T00:48:49.806183Z digest=sha256:889dadaf35d117bc08ec7f628ec9d421634500a12d1e63f0970a9abf1d6ae972

Observation 543d5265-b066-4211-8671-e584c7ae4fe7 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,.

Frequency Dynamic Convolutions for Sound Event Detection wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,

Reference 11

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source=pdf_text observed=2026-08-07T00:48:49.865503Z digest=sha256:a87163ed4cdda03071f6f8f2b36e0c2847653da0bed90b613a633aa0f086517b

Observation a1ab2f71-6425-44aa-ab16-1a6d510e50b4 · outbound

This paper cites Hu- BERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units,.

Frequency Dynamic Convolutions for Sound Event Detection Hu- BERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units,

Reference 12

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source=pdf_text observed=2026-08-07T00:48:49.989039Z digest=sha256:ebc96a3dd284512fd2a9a65782359c3dda982258ab6e9e6020982f6b7b0d7ce3

Observation 93aafc42-d3db-482b-bce1-3a066d83cf67 · outbound

This paper cites Attentive Statistics Pooling for Deep Speaker Embed- ding,.

Frequency Dynamic Convolutions for Sound Event Detection Attentive Statistics Pooling for Deep Speaker Embed- ding,

Reference 13

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source=pdf_text observed=2026-08-07T00:48:50.120642Z digest=sha256:fc389fc24042f6466197d24d9c42d042f0e19f602cc3adfca0d9638d114922fb

Observation 50d10190-faf3-4754-8aa8-425b654076d8 · outbound

This paper cites Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System,.

Frequency Dynamic Convolutions for Sound Event Detection Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System,

Reference 14

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source=pdf_text observed=2026-08-07T00:48:50.178270Z digest=sha256:5a25e496a2684bb9e7d9968da6235d1e12a1403719840fcc31dd6a7479268050

Observation d0702bd7-df97-45b6-b5b0-62281568aa1d · outbound

This paper cites Analysis-Based Optimization of Temporal Dynamic Convo- lutional Neural Network for Text-Independent Speaker Verification,.

Frequency Dynamic Convolutions for Sound Event Detection Analysis-Based Optimization of Temporal Dynamic Convo- lutional Neural Network for Text-Independent Speaker Verification,

Reference 15

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source=pdf_text observed=2026-08-07T00:48:50.290418Z digest=sha256:63f34d33c08808f43955d5a54a2065ab2eff792546ad72a244324eab63c15cf8

Observation f9c91ecd-ca29-4e94-a001-8f477756c92a · outbound

This paper cites Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification,.

Frequency Dynamic Convolutions for Sound Event Detection Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification,

Reference 16

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source=pdf_text observed=2026-08-07T00:48:50.382625Z digest=sha256:04b559500dc09d2519731a8f66c60b4f8031af2acd4379f468db09f6e6570704

Observation 0ce2a84c-7945-4549-8601-af9f9daaec9f · outbound

This paper cites Convolution-Based Channel-Frequency Attention for Text-Independent Speaker Verification,.

Frequency Dynamic Convolutions for Sound Event Detection Convolution-Based Channel-Frequency Attention for Text-Independent Speaker Verification,

Reference 17

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source=pdf_text observed=2026-08-07T00:48:50.465188Z digest=sha256:a696576fd033401ccd625869de1b4352273c5aafb51ceabb1f7c445e9c01bd15

Observation 8735e0cd-1a57-46b6-827e-e66c07bcbc4c · outbound

This paper cites PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition,.

Frequency Dynamic Convolutions for Sound Event Detection PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition,

Reference 18

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source=pdf_text observed=2026-08-07T00:48:50.576650Z digest=sha256:e745a625868e38f572b433b3d963e90ebc958c5db192b58007cdc8d93ead437c

Observation 3c071d20-36b5-4aee-94aa-7d47e032ecdd · outbound

This paper cites Deep Learning Based Cough Detection Camera Using Enhanced Features,.

Frequency Dynamic Convolutions for Sound Event Detection Deep Learning Based Cough Detection Camera Using Enhanced Features,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:50.681470Z digest=sha256:39a3bbec38776c2e372215cdc74f12c79f2ad3edc245e61526abcb4581551232

Observation a6bc8ebe-b381-46a5-b0bc-e4ac7885d74e · outbound

This paper cites Real-Time Sound Recognition System for Human Care Robot Considering Custom Sound Events,.

Frequency Dynamic Convolutions for Sound Event Detection Real-Time Sound Recognition System for Human Care Robot Considering Custom Sound Events,

Reference 20

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source=pdf_text observed=2026-08-07T00:48:50.719614Z digest=sha256:c06bf0b9c4cb2a28e652ce4b1e94312f581d1eb1256f0e84885959c2987df3aa

Observation c8dfdb10-6b0b-4d7a-af0a-da9b0c2221b5 · outbound

This paper cites AST: Audio Spectrogram Transformer,.

Frequency Dynamic Convolutions for Sound Event Detection AST: Audio Spectrogram Transformer,

Reference 21

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source=pdf_text observed=2026-08-07T00:48:50.852033Z digest=sha256:372c77d09deef03371e000d98c6c4a73a8e4e2eb166bba86509eef742e9388ff

Observation 03bbcb73-7b85-4ab6-834a-d7ff71fb0197 · outbound

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

Frequency Dynamic Convolutions for Sound Event Detection BEATs: Audio Pre-Training with Acoustic Tokenizers,

Reference 22

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source=pdf_text observed=2026-08-07T00:48:50.942043Z digest=sha256:729fd08b589887f16e3e5efbbf2ce12e66a45acf6c4150dc0d489986437d740e

Observation af00f5f9-75ce-4cba-b4e5-a9c454df266e · outbound

This paper cites Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019,.

Frequency Dynamic Convolutions for Sound Event Detection Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019,

Reference 23

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source=pdf_text observed=2026-08-07T00:48:51.042475Z digest=sha256:dcdb0a49be22d2dd79926d5c63a08efb94f4dee688988401d9cc9084e255744b

Observation 588e050b-c07c-4627-9df0-39bb83c073a4 · outbound

This paper cites STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events,.

Frequency Dynamic Convolutions for Sound Event Detection STARSS22: A Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events,

Reference 24

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source=pdf_text observed=2026-08-07T00:48:51.149327Z digest=sha256:577a7e8e7e494523e2ff593cac0af0a81ed52b6775cfbcfc3ea4e0c9daa4cee4

Observation 025c7a72-26c1-493c-b6f2-0bda529915da · outbound

This paper cites Data Augmentation and Squeeze-and-Excitation Network on Multiple Dimension for Sound Event Localization and Detection in Real Scenes,.

Frequency Dynamic Convolutions for Sound Event Detection Data Augmentation and Squeeze-and-Excitation Network on Multiple Dimension for Sound Event Localization and Detection in Real Scenes,

Reference 25

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source=pdf_text observed=2026-08-07T00:48:51.234638Z digest=sha256:47bbbe50144454d2755b6b70bbc12f1ed9889e7c1ea0d4287ba2bab6e6877457

Observation 36b643bd-7e4e-41c8-b955-7a66ffd24e78 · outbound

This paper cites Automated Audio Captioning with Recurrent Neural Networks,.

Frequency Dynamic Convolutions for Sound Event Detection Automated Audio Captioning with Recurrent Neural Networks,

Reference 26

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source=pdf_text observed=2026-08-07T00:48:51.360647Z digest=sha256:3a27ab42277ae9d7b8cd9d3c75948c419fd8540058813d2a3d7a3e99f771f02b

Observation 7006ec6c-f6e2-4d8b-87d9-e8cd8a19b6bc · outbound

This paper cites Clotho: An Audio Captioning Dataset,.

Frequency Dynamic Convolutions for Sound Event Detection Clotho: An Audio Captioning Dataset,

Reference 27

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source=pdf_text observed=2026-08-07T00:48:51.441687Z digest=sha256:3c31f6b6864fb55de752e38793b0c794c8eeb66c8ca5f88e3576ead4464c642d

Observation af296f04-7ddf-45d0-9ad4-3ac66604e07b · outbound

This paper cites ChatGPT Caption Paraphrasing and FENSE-Based Caption Filtering for Automated Audio Captioning,.

Frequency Dynamic Convolutions for Sound Event Detection ChatGPT Caption Paraphrasing and FENSE-Based Caption Filtering for Automated Audio Captioning,

Reference 28

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source=pdf_text observed=2026-08-07T00:48:51.519482Z digest=sha256:d62d0a0093bbe5f4beeb7b88f3ad986a0f8ef6921653e4826220455bc9c5883d

Observation 1b6587ba-1f49-480a-9e20-210606e30101 · outbound

This paper cites Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection.

Frequency Dynamic Convolutions for Sound Event Detection Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection

Reference 29

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source=pdf_text observed=2026-08-07T00:48:51.639019Z digest=sha256:5522aac7b6dcff1f7120dcd3ebcb94f6237dc4855927bb6669a30c8256d0360a

Observation 17ad86ee-8566-4ad5-863b-f8680a4f79b2 · outbound

This paper cites Few-Shot Bioacoustic Event Detection Utilizing Spectro- Temporal Receptive Field,.

Frequency Dynamic Convolutions for Sound Event Detection Few-Shot Bioacoustic Event Detection Utilizing Spectro- Temporal Receptive Field,

Reference 30

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source=pdf_text observed=2026-08-07T00:48:51.738495Z digest=sha256:b5d2040188b99902472027e2bb36641b1b64cfe25b7d59c3429b5a928869c1a9

Observation 50138c18-555b-429d-ace1-6d8ed3057757 · outbound

This paper cites PRTFNet: HRTF Individualization for Accurate Spectral Cues Using a Compact PRTF,.

Frequency Dynamic Convolutions for Sound Event Detection PRTFNet: HRTF Individualization for Accurate Spectral Cues Using a Compact PRTF,

Reference 31

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source=pdf_text observed=2026-08-07T00:48:51.852790Z digest=sha256:4530f4fbe851d3680d2e0f6b4b7bd1fd54ab62ef6c545431128717840f8e0321

Observation 77be3d1d-84d7-411d-a82a-4cf4cbff3180 · outbound

This paper cites FilterAugment: An Acoustic Environmental Data Augmentation Method,.

Frequency Dynamic Convolutions for Sound Event Detection FilterAugment: An Acoustic Environmental Data Augmentation Method,

Reference 32

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source=pdf_text observed=2026-08-07T00:48:51.945743Z digest=sha256:fe9a520948dd8e88b80228c336513330aab6123ea7a983352d5c67051a8dd5bc

Observation 0907f3aa-a798-490d-83ac-8dce902108fe · outbound

This paper cites AudioLDM: Text-to-Audio Generation with Latent Diffusion Models,.

Frequency Dynamic Convolutions for Sound Event Detection AudioLDM: Text-to-Audio Generation with Latent Diffusion Models,

Reference 33

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source=pdf_text observed=2026-08-07T00:48:52.089579Z digest=sha256:3295edc4c0c3c8183be4f97ecf97c6c2d33c862614245bf79cf3ac2171a2ed3c

Observation a14bed1b-37af-44b5-bbf7-37f8f58e66a6 · outbound

This paper cites AudioGen: Textually Guided Audio Generation,.

Frequency Dynamic Convolutions for Sound Event Detection AudioGen: Textually Guided Audio Generation,

Reference 34

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source=pdf_text observed=2026-08-07T00:48:52.177252Z digest=sha256:0976d1e4631ff52405914496c5452feff3d9c64a743cbb1279858434485936fe

Observation f6779d7c-020d-46bb-9cb3-d052f200cfd9 · outbound

This paper cites VIFS: An End-to-End Variational Inference for Foley Sound Synthesis,.

Frequency Dynamic Convolutions for Sound Event Detection VIFS: An End-to-End Variational Inference for Foley Sound Synthesis,

Reference 35

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source=pdf_text observed=2026-08-07T00:48:52.287249Z digest=sha256:0c3b6fafe02cdd0d039d5a127cad0cf9b9dd87063abf71fc2cc81328d0d10dd7

Observation b4c09c97-5adc-4de2-9fd9-ac57f1a29050 · outbound

This paper cites mixup: Beyond Empirical Risk Minimiza- tion,.

Frequency Dynamic Convolutions for Sound Event Detection mixup: Beyond Empirical Risk Minimiza- tion,

Reference 36

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source=pdf_text observed=2026-08-07T00:48:52.394553Z digest=sha256:2ee6c0c1c0b81362dcc71feee811344c8272c0de94cac7f69378f10628ca5b19

Observation e8a71842-8079-41f1-9f04-ccf6057dd2d5 · outbound

This paper cites Training sound event detection on a heterogeneous dataset,.

Frequency Dynamic Convolutions for Sound Event Detection Training sound event detection on a heterogeneous dataset,

Reference 37

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source=pdf_text observed=2026-08-07T00:48:52.541804Z digest=sha256:0772f74cd047568348023f3c33053f1c2cab91fae70c43559a8f5744db14b2d5

Observation fff92f36-5be2-48b4-ab32-2e11f7c78f6d · outbound

This paper cites Analysis of weak labels for sound event tagging,.

Frequency Dynamic Convolutions for Sound Event Detection Analysis of weak labels for sound event tagging,

Reference 38

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source=pdf_text observed=2026-08-07T00:48:52.641479Z digest=sha256:c29a92ea04dfcc0ba0fb3b1b30b43d8e8110c17d83c92bcfd1ead8b62b64396b

Observation 0a815ef5-a924-4bc5-9ee4-31c94e73ff45 · outbound

This paper cites Dynamic Convolution: Attention Over Convolution Kernels,.

Frequency Dynamic Convolutions for Sound Event Detection Dynamic Convolution: Attention Over Convolution Kernels,

Reference 39

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source=pdf_text observed=2026-08-07T00:48:52.768458Z digest=sha256:b95304961255e3ce906b524425f7e96cf290c6e69f8f53b2b1c65562ee8ef1fa

Observation b05d9815-b2d9-4937-a63e-3c139e363e1c · outbound

This paper cites Attention is All you Need,.

Frequency Dynamic Convolutions for Sound Event Detection Attention is All you Need,

Reference 40

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source=pdf_text observed=2026-08-07T00:48:52.896907Z digest=sha256:80c7e4979dabfce6524fdb1f0344fbae247f32874db956fb9d3ac1a7c72b83df

Observation de71caf9-122b-4640-bbd3-c92ec1a7d138 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results,.

Frequency Dynamic Convolutions for Sound Event Detection Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 42

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source=pdf_text observed=2026-08-07T00:48:53.110217Z digest=sha256:f46ccfb422b8c9fb5503a2673d8d592abc2b107630057f61c405e44a4a158090

Observation 1fbbbf31-12a2-4dc3-ad0b-dbf47f529fcd · outbound

This paper cites Multi-Dimensional Frequency Dynamic Convolution with Con- fident Mean Teacher for Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Multi-Dimensional Frequency Dynamic Convolution with Con- fident Mean Teacher for Sound Event Detection,

Reference 43

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source=pdf_text observed=2026-08-07T00:48:53.238103Z digest=sha256:747f70a3a8f8fa3e52fc23b9221cc3c542d372739ff5b09aa7e52299d38e84de

Observation 8dd12da7-9011-48f5-a0c1-d7e8de9cb0eb · outbound

This paper cites AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer,.

Frequency Dynamic Convolutions for Sound Event Detection AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer,

Reference 44

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source=pdf_text observed=2026-08-07T00:48:53.351756Z digest=sha256:b1d4d90d96774d8550aa425108c0460ed81488b976e5f767c58a9ff4d6ed1456

Observation 03104088-1234-43a0-8d58-dc3f0cf0eebf · outbound

This paper cites Fine-Tune the Pretrained ATST Model for Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Fine-Tune the Pretrained ATST Model for Sound Event Detection,

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:53.468657Z digest=sha256:b19421d262a9c8d58f2bdf6cbab9ba435224f84c88024ee58da914367302af90

Observation 31fbc260-106f-4357-a427-03a7acd400b3 · outbound

This paper cites Squeeze-and-Excitation Networks,.

Frequency Dynamic Convolutions for Sound Event Detection Squeeze-and-Excitation Networks,

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:53.580545Z digest=sha256:1087b731f22fc310bac689a2c6462edb0fbc631ad64580e275cf05ed9f627975

Observation 7c80d2b2-325c-4a46-a991-88186ba45a95 · outbound

This paper cites Learnable Sparse Filterbank for Speaker Verification,.

Frequency Dynamic Convolutions for Sound Event Detection Learnable Sparse Filterbank for Speaker Verification,

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:53.663826Z digest=sha256:85d3ab2c19a468e6c12c7b5725bd910601c369bb6685b6f31b0695a6061b73d3

Observation 0dc8b012-bfc2-40cb-b6b3-1651a5f9d0dd · outbound

This paper cites Selective Kernel Networks,.

Frequency Dynamic Convolutions for Sound Event Detection Selective Kernel Networks,

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:53.776576Z digest=sha256:dbfc02e5aa2e28609290bb46c3213be4723f6e8e8ae71209b87fb5e7854a1302

Observation 1879d434-8163-4089-ba53-5c9242459792 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Frequency Dynamic Convolutions for Sound Event Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:53.886070Z digest=sha256:f8a9eedd6bb27b50b0afb0f7cb865365904f865f55a584dc6013b89f75375c76

Observation 4e88fa42-4170-4696-8c22-6937e95a92bc · outbound

This paper cites Audio Set: An Ontology and Human-Labeled Dataset for Audio Events,.

Frequency Dynamic Convolutions for Sound Event Detection Audio Set: An Ontology and Human-Labeled Dataset for Audio Events,

Reference 50

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no resolver link, observed 2026-08-07T00:48:53.982180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:53.982180Z digest=sha256:524d8ba66832d78da6b9871cb1664b53225cf80db3974e110b9ed269a4fca8e7

Observation 3c310007-1b36-420d-a64a-a0ab95b30592 · outbound

This paper cites Convolution- Augmented Transformer for Semi-Supervised Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Convolution- Augmented Transformer for Semi-Supervised Sound Event Detection,

Reference 51

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unresolved
no resolver link, observed 2026-08-07T00:48:54.091369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.091369Z digest=sha256:be6016a2adf5db3e31d598d04197d9da2e3ac2125049851c98e3bc126eb8ae0a

Observation ad92f792-98ee-479d-a73e-9ff0ca7670a3 · outbound

This paper cites Zheng USTC Team’s Submission for DCASE2021 Task4 – Semi- Supervised Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Zheng USTC Team’s Submission for DCASE2021 Task4 – Semi- Supervised Sound Event Detection,

Reference 52

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no resolver link, observed 2026-08-07T00:48:54.196641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.196641Z digest=sha256:3bf490034a285f2eed32a9dfe3cc3f5a31c6b3274c9c52c54e12424991d3c19d

Observation 8525dc14-3a82-45bc-8a07-0a2325c11a30 · outbound

This paper cites Pre-Training and Self-Training for Sound Event Detection in Domestic Environments,.

Frequency Dynamic Convolutions for Sound Event Detection Pre-Training and Self-Training for Sound Event Detection in Domestic Environments,

Reference 53

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unresolved
no resolver link, observed 2026-08-07T00:48:54.348164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.348164Z digest=sha256:262c4c4e80e52632e5ce48653e2f0a93393f8d8ec41d72f5b07ba584aa7b2cb7

Observation 548cadaa-9e97-460f-a8ce-c8ee991120fd · outbound

This paper cites Semi-Supervised Sound Event Detection System for DCASE 2022 Task 4,.

Frequency Dynamic Convolutions for Sound Event Detection Semi-Supervised Sound Event Detection System for DCASE 2022 Task 4,

Reference 54

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unresolved
no resolver link, observed 2026-08-07T00:48:54.468430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.468430Z digest=sha256:6f5ede644592aa51d89eb12f5048338dc9993bf837df28bece7747aa055113b7

Observation eb34a07e-d00c-4b89-87dc-dc2b119579b3 · outbound

This paper cites Data Engineering for Noisy Student Model in Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Data Engineering for Noisy Student Model in Sound Event Detection,

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.575467Z digest=sha256:6760354d44eff609345b2be1c43eaa112068fffe14466fe48a99b4902f3111e4

Observation 88f87b0f-6ee1-4d55-b479-f599487b1434 · outbound

This paper cites Pretrained Models in Sound Event Detection for DCASE 2022 Challenge Task4,.

Frequency Dynamic Convolutions for Sound Event Detection Pretrained Models in Sound Event Detection for DCASE 2022 Challenge Task4,

Reference 56

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no resolver link, observed 2026-08-07T00:48:54.675730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.675730Z digest=sha256:7e1023d08a850fd03556c4af357ea091ab0f5b5566f417c09d75edb642905a97

Observation 3c528f63-c202-4aa1-8724-66a92e1114a4 · outbound

This paper cites Semi-Supervised Learning- Based Sound Event Detection Using Frequency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4,.

Frequency Dynamic Convolutions for Sound Event Detection Semi-Supervised Learning- Based Sound Event Detection Using Frequency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4,

Reference 57

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no resolver link, observed 2026-08-07T00:48:54.785567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.785567Z digest=sha256:6a5d335cd75cda4b19cc3fae9015ce84402d337f9fd03e14f9a05832cfa4a49f

Observation e073c72b-671b-4c0c-869e-f5f199eb4ac7 · outbound

This paper cites How Information on Soft Labels and Hard Labels Mutually Benefits Sound Event Detection Tasks,.

Frequency Dynamic Convolutions for Sound Event Detection How Information on Soft Labels and Hard Labels Mutually Benefits Sound Event Detection Tasks,

Reference 58

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no resolver link, observed 2026-08-07T00:48:54.884923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:54.884923Z digest=sha256:c067a64e632190ada49f1cdae132d6edbf459b946d5d554eb33b8929bf2206a2

Observation b9feec31-4096-4bda-be2e-046b6f56f864 · outbound

This paper cites Sound Event Detection with Weak Prediction for DCASE 2023 Challenge Task4A,.

Frequency Dynamic Convolutions for Sound Event Detection Sound Event Detection with Weak Prediction for DCASE 2023 Challenge Task4A,

Reference 59

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no resolver link, observed 2026-08-07T00:48:55.021297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.021297Z digest=sha256:6e67e78f796d6447357b362056b4b0544954d6535d054fc26e0cf07bfe5c0242

Observation 062a91e2-47ca-4ebe-92a3-fba57722d0a7 · outbound

This paper cites CHT+NSYSU Sound Event Detection System With Multiscale Channel Attention And Multiple Consistency Training For DCASE 2021 Task 4,.

Frequency Dynamic Convolutions for Sound Event Detection CHT+NSYSU Sound Event Detection System With Multiscale Channel Attention And Multiple Consistency Training For DCASE 2021 Task 4,

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.126449Z digest=sha256:0631e000ee10adc5eedd09d84a76fff1ae0a66d658c8b8bff141913d6f7728eb

Observation 3a3e0468-bf84-4561-a73f-cb3c8117da9a · outbound

This paper cites Sound Event Detection Based on Self-Supervised Learning of Wav2vec 2.0,.

Frequency Dynamic Convolutions for Sound Event Detection Sound Event Detection Based on Self-Supervised Learning of Wav2vec 2.0,

Reference 61

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unresolved
no resolver link, observed 2026-08-07T00:48:55.263627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.263627Z digest=sha256:0e8ace9292c4b38b844c53908f19f5b39787797c954c44e58a1f8c5201393b6d

Observation e266989d-f469-4232-8195-774fccff0fde · outbound

This paper cites Convolution-Augmented Conformer for Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Convolution-Augmented Conformer for Sound Event Detection,

Reference 62

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no resolver link, observed 2026-08-07T00:48:55.359735Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:55.359735Z digest=sha256:61ddd210c28e8d0cfe64e9138b19920852b844de4b85956c5b8edefdf68d8f31

Observation e4fda926-78d6-4ca5-8da1-05562365d70c · outbound

This paper cites Convolutional Network with Conformer for Semi-Supervised Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection Convolutional Network with Conformer for Semi-Supervised Sound Event Detection,

Reference 63

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unresolved
no resolver link, observed 2026-08-07T00:48:55.476794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.476794Z digest=sha256:ee02712f4ab5c9a136ebe918e40a91aca4188af3b71593d2db7b85ff2981ef54

Observation 601fbe49-1a2d-4fdd-a870-40443814e014 · outbound

This paper cites Integrating Advantages of Recurrent and Transformer Struc- tures for Sound Event Detection in Multiple Scenarios,.

Frequency Dynamic Convolutions for Sound Event Detection Integrating Advantages of Recurrent and Transformer Struc- tures for Sound Event Detection in Multiple Scenarios,

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.551242Z digest=sha256:c41d0f93a75d64d1f1abef1e30953c2306475d072718ae76447352f5eb807ec0

Observation 2d899e46-bd84-4a33-b855-eb7dad8974e3 · outbound

This paper cites Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions.

Frequency Dynamic Convolutions for Sound Event Detection Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions

Reference 65

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verified exact
local_arxiv, observed 2026-08-07T00:49:07.491883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:55.648253Z digest=sha256:8f32ec24d294f1b53c3555690fb5b3e2f83851eef722007c23c4f865e70b82ab

Observation e0c1ae3a-6404-4775-a04b-f94a0cb11d95 · outbound

This paper cites Semi-Supervised Sound Event Detection with Pre- Trained Model,.

Frequency Dynamic Convolutions for Sound Event Detection Semi-Supervised Sound Event Detection with Pre- Trained Model,

Reference 66

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:55.746826Z digest=sha256:6ef7c0c2624a79abd99d89c1d1c59210bb4ffcc59df90c5d0e0fffd4bda76223

Observation 368fe549-5815-4b60-af6b-0ad2d66c631f · outbound

This paper cites ATST: Audio Representation Learning with Teacher-Student Transformer,.

Frequency Dynamic Convolutions for Sound Event Detection ATST: Audio Representation Learning with Teacher-Student Transformer,

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.844003Z digest=sha256:7b8fbc0ffbb2079123442ad84567aa63f8d2455e5d78bb4eb8db6672163eee37

Observation a3bbbb66-4277-45d6-b6a0-e22dffd6e4aa · outbound

This paper cites Self-Supervised Audio Teacher-Student Transformer for Both Clip-Level and Frame-Level Tasks,.

Frequency Dynamic Convolutions for Sound Event Detection Self-Supervised Audio Teacher-Student Transformer for Both Clip-Level and Frame-Level Tasks,

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:55.950439Z digest=sha256:b08291d600c1ecdb45fa25957b9328c1e59202a4fb91002d30cf5ee42e331fc7

Observation c0e64447-78b3-4a82-ba6c-01a37139f9be · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions,.

Frequency Dynamic Convolutions for Sound Event Detection Multi-Scale Context Aggregation by Dilated Convolutions,

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:56.053610Z digest=sha256:3fcae234cd1d4a136653f990ca43ead08f4ee54ef8c76e1a490f50551fd86908

Observation 43f6041a-e12f-4145-89d6-3ab2c2e72947 · outbound

This paper cites Sound Event Detection with Depth- wise Separable and Dilated Convolutions,.

Frequency Dynamic Convolutions for Sound Event Detection Sound Event Detection with Depth- wise Separable and Dilated Convolutions,

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:56.212286Z digest=sha256:808c89f8709f70f78cc9aaf19609ab478fda3b6c04a9e63d85f8b1d086d71d2b

Observation 597134ed-69c5-49e6-bfe4-47073dd38cff · outbound

This paper cites Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks,.

Frequency Dynamic Convolutions for Sound Event Detection Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks,

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:56.327640Z digest=sha256:d9f48c309729f0e329e53f490f18ebdc05da55929af6728562cd93443f229bb5

Observation 59a3bbd8-cd61-4e8f-9e59-cb3922725008 · outbound

This paper cites Dilated Convolution Neural Network with LeakyReLU for Envi- ronmental Sound Classification,.

Frequency Dynamic Convolutions for Sound Event Detection Dilated Convolution Neural Network with LeakyReLU for Envi- ronmental Sound Classification,

Reference 72

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metadata mismatch
raw_fallback, observed 2026-08-07T00:49:07.129979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:56.441395Z digest=sha256:e40ecaa8d83d09f00f4519c6c439e51343913825e288676ad667c678820f4afe

Observation 25674e0f-e48d-45dd-81d3-1e5c5c3e047b · outbound

This paper cites Efficient Large-Scale Audio Tagging Via Transformer-to- CNN Knowledge Distillation,.

Frequency Dynamic Convolutions for Sound Event Detection Efficient Large-Scale Audio Tagging Via Transformer-to- CNN Knowledge Distillation,

Reference 73

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:56.558004Z digest=sha256:f75ac4eae7e0b5d90563f3f0a473d25c3c806da829dc8d1e9642add81d1879f5

Observation 814b4f09-2190-453e-b875-30f8e84190c5 · outbound

This paper cites Dynamic Convolutional Neural Networks as Efficient Pre-Trained Audio Models,.

Frequency Dynamic Convolutions for Sound Event Detection Dynamic Convolutional Neural Networks as Efficient Pre-Trained Audio Models,

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:56.657474Z digest=sha256:a67fce686ef33f3aabce3b5e0684ade7eab63775fb1ece40a2f9e1a7929317f8

Observation 471a936c-4d3a-4262-ad4a-ed40f7c8fdc3 · outbound

This paper cites BERT: Pre-training of Deep Bidirec- tional Transformers for Language Understanding,.

Frequency Dynamic Convolutions for Sound Event Detection BERT: Pre-training of Deep Bidirec- tional Transformers for Language Understanding,

Reference 75

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:48:56.790749Z digest=sha256:c6aa6d947d187094edd219284f6525f89edba3e6853a91242554db4563a00b2c

Observation 959557c2-1a47-44b0-befc-d8e6b4c6cc8b · outbound

This paper cites an unresolved cited work.

Frequency Dynamic Convolutions for Sound Event Detection Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-07T00:48:56.902037Z digest=sha256:47796de109d2d05d63839816d23c1b8ce87a79f18f9fae8cd2b72dcc7f72e178

Observation f604eba2-0bc7-4612-80a7-9d909eadbedd · outbound

This paper cites an unresolved cited work.

Frequency Dynamic Convolutions for Sound Event Detection Unresolved cited work

Reference 77

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:56.988292Z digest=sha256:70292b7214317bf021817f60f066709e1fcdd41b3735c0edc3244107e857d4b1

Observation b2d4df3e-386f-43ea-a41c-754f65ca3dd1 · outbound

This paper cites an unresolved cited work.

Frequency Dynamic Convolutions for Sound Event Detection Unresolved cited work

Reference 78

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unresolved
raw_fallback, observed 2026-08-07T00:49:22.858215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.090674Z digest=sha256:8fc1107e208b30140184725ab6d4216bab415f23162fb48cea05b85d57177e46

Observation 167e565a-458f-4ce2-879c-3e1a388627cb · outbound

This paper cites an unresolved cited work.

Frequency Dynamic Convolutions for Sound Event Detection Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:49:22.655940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.257002Z digest=sha256:e0e4718764ecbb320ef96776432f73f3930f5394bd9dea115a5127dbfb0586f6

Observation 5d4d6799-5fe6-4f6a-9a74-9a67b56fd0c9 · outbound

This paper cites Rabiner and R.

Frequency Dynamic Convolutions for Sound Event Detection Rabiner and R

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:22.515991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.411586Z digest=sha256:58fa3aea85d71f0c406fc4b59d79cdc274c8364bbdf125daa2124be5f1f3e37d

Observation 1914e889-473d-4cc1-a04a-10a4ae2fe6e9 · outbound

This paper cites DCASE2021 Task4 Baseline,.

Frequency Dynamic Convolutions for Sound Event Detection DCASE2021 Task4 Baseline,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:22.360628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.511691Z digest=sha256:6143f700b69c66bfa94806c4834c73e6109cdd90a03c28277e503b9837189ef6

Observation a78996bd-12d3-4910-9df4-272abdadc4f9 · outbound

This paper cites DCASE 2021 Challenge Task4: Sound event detection and separation in domestic environments,.

Frequency Dynamic Convolutions for Sound Event Detection DCASE 2021 Challenge Task4: Sound event detection and separation in domestic environments,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:22.115001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.644192Z digest=sha256:9197776ace623598d1febde15f91655eabcc6396fcdb633f87d7743a6a571f5b

Observation d196e834-0104-4b61-bb37-97753596fce9 · outbound

This paper cites Threshold Independent Evaluation of Sound Event Detection Scores,.

Frequency Dynamic Convolutions for Sound Event Detection Threshold Independent Evaluation of Sound Event Detection Scores,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:21.846053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.736201Z digest=sha256:2ce094a292f01c89ab6525e973c8d2dea8880f62aeb13720271af12162c06c8f

Observation f6fa45d7-4688-4a2a-858a-99c4e5a5e662 · outbound

This paper cites MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:21.690040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:57.847739Z digest=sha256:a8c613bf566c9b7a807258e934ca7b1870106d9c1f581dc5ef49aaf518075f6b

Observation cf60ad4f-7d8a-4f7d-a929-beb878c8033b · outbound

This paper cites Sound Event Bounding Boxes,.

Frequency Dynamic Convolutions for Sound Event Detection Sound Event Bounding Boxes,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:21.553296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.015459Z digest=sha256:d2a7ee59ce3b0ac366c427a2d89a83ca91ca8c092ab343a8a83d43b3b1ad2365

Observation 39b50c4d-6254-4c9a-8ae0-fad303a797de · outbound

This paper cites Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event Detection.

Frequency Dynamic Convolutions for Sound Event Detection Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event Detection

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:49:06.862041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.115642Z digest=sha256:52d46d3c45a8c3431dd55ff482b5bfbff33fd71ea9be6b22fa860b3f720e37ee

Observation 41a08306-86a5-43f6-ac29-7a8e1cba8bef · outbound

This paper cites Efficient Training of Audio Transformers with Patchout,.

Frequency Dynamic Convolutions for Sound Event Detection Efficient Training of Audio Transformers with Patchout,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:21.330693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.243154Z digest=sha256:e5e181da2a07aaa31b334393cb9a08badd895684260726b9e22c3dc1cd1225c0

Observation 6c7b03a0-1238-41c2-b87f-a2944c085284 · outbound

This paper cites IMPROVING AUDIO SPECTRO- GRAM TRANSFORMERS FOR SOUND EVENT DETECTION THROUGH MULTI-STAGE TRAINING,.

Frequency Dynamic Convolutions for Sound Event Detection IMPROVING AUDIO SPECTRO- GRAM TRANSFORMERS FOR SOUND EVENT DETECTION THROUGH MULTI-STAGE TRAINING,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:21.105017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.346322Z digest=sha256:f419b1127d5eb04232617318215dc2a29d23b6cbe2ce37b3131bd7b108f866f4

Observation 69faafe9-73e2-422b-9915-3f0ff8e4d52c · outbound

This paper cites The Ins and Outs of Speaker Recognition: Lessons from VoxSRC 2020,.

Frequency Dynamic Convolutions for Sound Event Detection The Ins and Outs of Speaker Recognition: Lessons from VoxSRC 2020,

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:58.482585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:58.482585Z digest=sha256:88e3e00ea2193e82219b7359ef4c39f4aec3d76b0f09f46ac3948da51c9279d5

Observation 87888996-d384-417a-8aeb-c053485142b3 · outbound

This paper cites In Defence of Metric Learning for Speaker Recognition,.

Frequency Dynamic Convolutions for Sound Event Detection In Defence of Metric Learning for Speaker Recognition,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:20.814887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.612610Z digest=sha256:dac245d0807c93cf7baf5701a6a67dbb5088e37110e5a14cd8159e763c426b88

Observation 2d237795-2a10-4df8-86eb-1a45731034a6 · outbound

This paper cites SSAST: Self-Supervised Audio Spectrogram Trans- former,.

Frequency Dynamic Convolutions for Sound Event Detection SSAST: Self-Supervised Audio Spectrogram Trans- former,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:20.475394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.734731Z digest=sha256:dd09e6beda3af7d2918f41fa0ddedd7257d90f586dfe5fdb896e3d29775b4985

Observation 15331e17-cbb3-4afb-b3a0-2f0b3836315f · outbound

This paper cites Masked Autoencoders that Listen,.

Frequency Dynamic Convolutions for Sound Event Detection Masked Autoencoders that Listen,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:20.198194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:58.882829Z digest=sha256:ea6c68fa4886a770f343e950ea7bb92034f65f31f9d7ec8bbd836d19e480bbc2

Observation 2cc1a712-d31e-4484-9f2a-5c1fd8484874 · outbound

This paper cites BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation,.

Frequency Dynamic Convolutions for Sound Event Detection BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:19.903177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.031693Z digest=sha256:a3dde81070aaa65a36c698d375f7acc11e6882121d0fec9c182c9e69044376e4

Observation 17a07bb4-e422-481f-ac03-4572f39d178f · outbound

This paper cites Jigsaw Clustering for Unsupervised Visual Representation Learning,.

Frequency Dynamic Convolutions for Sound Event Detection Jigsaw Clustering for Unsupervised Visual Representation Learning,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:19.580119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.139343Z digest=sha256:a750f992800a5ae8f8a238a3ec5683129aff412e94fb807330c42026b96ffb15

Observation 7037ad4d-860f-4b90-9259-0a2c473e453b · outbound

This paper cites Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer,.

Frequency Dynamic Convolutions for Sound Event Detection Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:19.394286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.274502Z digest=sha256:bae5330ac69af50e106b4ad7af3a828acee18727065f20f3975063094f3c6f16

Observation e68d9227-2c4b-46d5-a492-b66be2bd6216 · outbound

This paper cites Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification,.

Frequency Dynamic Convolutions for Sound Event Detection Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:19.255891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.388624Z digest=sha256:68c03561685371ad8337035c5eb6eab823300c764b4e833baaee1a24a9ad443a

Observation 37390c97-23fd-4638-a759-cb8189fe4e54 · outbound

This paper cites TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech,.

Frequency Dynamic Convolutions for Sound Event Detection TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:19.006200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.515530Z digest=sha256:705d2c4bfc6b32f1930973379ccefa93a1ff55984896d209e63d8bf03a54dfc4

Observation e9d7e153-c5c0-4574-9891-b0ce5a30571a · outbound

This paper cites Transformer-XL: Language Modeling with Longer-Term Dependency,.

Frequency Dynamic Convolutions for Sound Event Detection Transformer-XL: Language Modeling with Longer-Term Dependency,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:18.808956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.623284Z digest=sha256:132dbb58774f914c402e56ca63ca0e1354b9f7ee6c332652c3685333e1560f5e

Observation 750a43e0-989b-4cd2-9b2a-4d9fb449565d · outbound

This paper cites You Only Hear Once: A YOLO-Like Algorithm for Audio Segmentation and Sound Event Detection,.

Frequency Dynamic Convolutions for Sound Event Detection You Only Hear Once: A YOLO-Like Algorithm for Audio Segmentation and Sound Event Detection,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:18.660937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.703616Z digest=sha256:4fda7595613635df11ec2952683d8a4deb6c9074f7afd856a64df0f5adff5415

Observation b8c74fac-ef19-4f14-be1a-4be3064dd5ff · outbound

This paper cites Adaptive Convolutional Neural Network for Text-Independent Speaker Recognition,.

Frequency Dynamic Convolutions for Sound Event Detection Adaptive Convolutional Neural Network for Text-Independent Speaker Recognition,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:18.482031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.792347Z digest=sha256:fb299607fa5646fd23616ad6b968fb84cee7354de96cda34885076ea7b69ee10

Observation c41fd78a-b033-4d62-9a10-ee39757ea5f5 · outbound

This paper cites Temporal Dynamic Convolutional Neural Network for Text- Independent Speaker Verification and Phonemetic Analysis,.

Frequency Dynamic Convolutions for Sound Event Detection Temporal Dynamic Convolutional Neural Network for Text- Independent Speaker Verification and Phonemetic Analysis,

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:49:18.345383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:48:59.970395Z digest=sha256:4fcaec7d27a0945b786215da271057b662d1b8d03bbd0ae2b196449863a2c437

Observation d1ee8a92-291b-4ea0-8345-2989f0f605b8 · outbound

This paper cites Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map.

Frequency Dynamic Convolutions for Sound Event Detection Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map

Reference 102

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:49:06.683409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T00:49:00.214066Z digest=sha256:ee2af458ca8c75090a0005322bf6c0b3aaa7b3d5aa6d1895e5783af9529987d2

Pith citing papers

Observation 773b6fc6-25d1-44e5-86c6-7f4ef1b8a7d8 · inbound

Auditory Intelligence: Understanding the World Through Sound cites this paper.

Auditory Intelligence: Understanding the World Through Sound Frequency Dynamic Convolutions for Sound Event Detection

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:55:00.851246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T21:55:00.075447Z digest=sha256:060793b8260fc79eba0bd71a489a0b37c8ac825c96b9d1fc50cbdf2278044cf4