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Paper Citation Record · LEDGER

Improving Audio Classification by Transitioning from Zero- to Few-Shot

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.20036.

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

pith.paper-citation-record.v1
2507.20036 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:56:00.959111Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:55:57.464669Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:56:00.980511Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c7b0233-dc6d-426a-873f-3fac62f97c2d · outbound

This paper cites Competitions like DCASE [1] and accompanying datasets like TUT [2] and CochlScene [3] showcase the importance and interest in acous- tic scene classification and event detection.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Competitions like DCASE [1] and accompanying datasets like TUT [2] and CochlScene [3] showcase the importance and interest in acous- tic scene classification and event detection

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.295329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 25ff1e03-5199-47c7-afda-8bfde9958495 · outbound

This paper cites Improving Audio Classification by Transitioning from Zero- to Few-Shot.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Improving Audio Classification by Transitioning from Zero- to Few-Shot

Reference 2

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metadata mismatch
local_arxiv, observed 2026-08-06T13:56:00.985665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 53578a95-e264-4e44-8eda-1eddd994389f · outbound

This paper cites an unresolved cited work.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-06T13:56:01.287027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0b06484c-cd06-4e27-8e72-8882be3c8e65 · outbound

This paper cites Data The performance evaluation is based on three datasets: BBL (internal), ESC-50, and FSD50K.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Data The performance evaluation is based on three datasets: BBL (internal), ESC-50, and FSD50K

Reference 4

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raw_fallback, observed 2026-08-06T13:56:01.279903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9d95c1aa-c5db-43bb-b6c3-6cd294223879 · outbound

This paper cites For ESC-50 and FSD50K, results are obtained from the respective papers.

Improving Audio Classification by Transitioning from Zero- to Few-Shot For ESC-50 and FSD50K, results are obtained from the respective papers

Reference 5

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raw_fallback, observed 2026-08-06T13:56:01.272383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d197fded-a107-4617-b5f7-6d6448472ff3 · outbound

This paper cites Our few-shot approach, uti- lizing a small number of audio samples, consistently outper- formed zero-shot classifiers on different datasets by 2 to 10 % points in accuracy.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Our few-shot approach, uti- lizing a small number of audio samples, consistently outper- formed zero-shot classifiers on different datasets by 2 to 10 % points in accuracy

Reference 6

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raw_fallback, observed 2026-08-06T13:56:01.264562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:57.907142Z digest=sha256:a2b316b6142103d3e72702c8a3975910c38a1ab6cbd3981d68a25c1f7993bf28

Observation 3eba4646-2e12-4709-9253-0240c9fe1c84 · outbound

This paper cites Sound Event Detection in the DCASE 2017 Challenge,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Sound Event Detection in the DCASE 2017 Challenge,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:57.986893Z digest=sha256:4f2e2fffd5f4bbf4fb7bebb5fd6ab8c07f7405fc12549cbef86439b088428d2f

Observation 8cef8d3d-1f9c-4905-a693-41a48bc219e4 · outbound

This paper cites TUT database for acoustic scene classification and sound event detection,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot TUT database for acoustic scene classification and sound event detection,

Reference 8

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raw_fallback, observed 2026-08-06T13:56:01.248829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:58.097980Z digest=sha256:0267c56dadf5a6ad99f88d1d993def1cf86582be22861dd6865070ea726c6015

Observation 8c0dadef-6ba6-4097-8dfb-3ab0c3f07f3a · outbound

This paper cites CochlScene: Acquisition of acoustic scene data using crowdsourcing,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot CochlScene: Acquisition of acoustic scene data using crowdsourcing,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation db171a95-dedf-47c8-8460-94672db29cb7 · outbound

This paper cites A dataset and taxonomy for urban sound research,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot A dataset and taxonomy for urban sound research,

Reference 10

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raw_fallback, observed 2026-08-06T13:56:01.232163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e682b72d-556d-4167-a532-1256359f8444 · outbound

This paper cites AI-Based Acoustic Surveillance System for Smart Cities,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot AI-Based Acoustic Surveillance System for Smart Cities,

Reference 11

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raw_fallback, observed 2026-08-06T13:56:01.225041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:58.495691Z digest=sha256:5ba897434f9cbd684e6dbf8459b8ea3820eda65e733455da206d879bd85a5ac5

Observation e57da17f-93f1-48fb-83f7-352b518068ed · outbound

This paper cites Acoustic monitoring in- tegrated with electronic care planning,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Acoustic monitoring in- tegrated with electronic care planning,

Reference 12

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raw_fallback, observed 2026-08-06T13:56:01.217777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:58.696179Z digest=sha256:04ddfaa779a998672fdeecadbb98e4a0bb9c622624f24f901cef9a7f5f7d3924

Observation ea2128f1-2b5c-448b-89bf-c309e730a82c · outbound

This paper cites Passive acoustic monitoring in ecology and conserva- tion,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Passive acoustic monitoring in ecology and conserva- tion,

Reference 13

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raw_fallback, observed 2026-08-06T13:56:01.210278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:58.880001Z digest=sha256:bfb2821160759824d81cc51b8d4a954e715d240935027bbf0e376a8800347c54

Observation e43daeb5-c9e0-4e46-8f0a-e9fd75f3f879 · outbound

This paper cites SECP: A Speech Enhancement-Based Curation Pipeline for Scalable Acquisition of Clean Speech,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot SECP: A Speech Enhancement-Based Curation Pipeline for Scalable Acquisition of Clean Speech,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.202878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:59.081755Z digest=sha256:6fac21f62d6cedf8d01e454bfb840d685a23f4792217d1c085e87683073c06c3

Observation 0d79dbb0-f3f8-4304-88ef-5f5e7d401b8b · outbound

This paper cites Environmental sound classification with convolu- tional neural networks,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Environmental sound classification with convolu- tional neural networks,

Reference 15

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raw_fallback, observed 2026-08-06T13:56:01.195277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7d22bdf3-224e-4c5b-a71c-2128c33cc4df · outbound

This paper cites Ro- bust sound event classification using deep neural networks,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Ro- bust sound event classification using deep neural networks,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 33f1aa01-cb0e-42c6-b664-be0015fdaac3 · outbound

This paper cites DCasenet: An integrated pretrained deep neural network for detecting and clas- sifying acoustic scenes and events,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot DCasenet: An integrated pretrained deep neural network for detecting and clas- sifying acoustic scenes and events,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cd8dcf45-ec0c-4d26-87c9-cdfd90672397 · outbound

This paper cites Few-shot continual learning for audio classification,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Few-shot continual learning for audio classification,

Reference 18

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raw_fallback, observed 2026-08-06T13:56:01.171022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 65d0e0a7-4804-4308-9cae-35ea3c211b01 · outbound

This paper cites Towards Robust Few-shot Class Incremental Learning in Audio Classification using Con- trastive Representation,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Towards Robust Few-shot Class Incremental Learning in Audio Classification using Con- trastive Representation,

Reference 19

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raw_fallback, observed 2026-08-06T13:56:01.163659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 878cb629-db78-4adb-96c9-077dacd89154 · outbound

This paper cites Multi-label Few-shot Learning for Sound Event Recognition,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Multi-label Few-shot Learning for Sound Event Recognition,

Reference 20

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raw_fallback, observed 2026-08-06T13:56:01.155703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation aafd797c-96c9-436e-a3cf-45c4704fdbc3 · outbound

This paper cites Learning From Taxonomy: Multi-Label Few-Shot Classification for Everyday Sound Recog- nition,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Learning From Taxonomy: Multi-Label Few-Shot Classification for Everyday Sound Recog- nition,

Reference 21

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raw_fallback, observed 2026-08-06T13:56:01.147295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:59.874286Z digest=sha256:3bce12229dd7efbe86e05ff87ddca1d6a0797cab5e0daa6b0580515ee5bd2811

Observation 8d1f07f0-8259-402a-9fbc-8f63eac042b9 · outbound

This paper cites Learning Transferable Visual Models From Natu- ral Language Supervision,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Learning Transferable Visual Models From Natu- ral Language Supervision,

Reference 22

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raw_fallback, observed 2026-08-06T13:56:01.139722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 62cb8127-9e30-45a3-82cb-e9b87ae64b2a · outbound

This paper cites Wav2Clip: Learning Robust Audio Representations From Clip,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Wav2Clip: Learning Robust Audio Representations From Clip,

Reference 23

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raw_fallback, observed 2026-08-06T13:56:01.118309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.206044Z digest=sha256:713809754ff61dbf42ae692af8c345af352498d7d3ce78787a455549518fa2a5

Observation 275ecc51-f59d-4202-baef-a6b31f14ccb7 · outbound

This paper cites Audioclip: Extend- ing Clip To Image, Text and Audio,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Audioclip: Extend- ing Clip To Image, Text and Audio,

Reference 24

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raw_fallback, observed 2026-08-06T13:56:01.110520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3680d20d-f856-4182-9460-785de1b90c2d · outbound

This paper cites CLAP Learning Audio Concepts from Natural Language Supervision,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot CLAP Learning Audio Concepts from Natural Language Supervision,

Reference 25

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raw_fallback, observed 2026-08-06T13:56:01.102229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.288959Z digest=sha256:15a67db2604364cea17f89cf26dd4f2d9df835ba1f520afa6e3421dc420bc6e2

Observation e9c9c3d1-ff68-4f6a-92b2-15f2e6aa52a6 · outbound

This paper cites M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation,

Reference 26

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raw_fallback, observed 2026-08-06T13:56:01.094257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.424593Z digest=sha256:ffc41f4fe9150593556516073ef54169d840f244a25728ed42d8ba3d6ccc8585

Observation ae5ed3de-f4e8-4a70-9644-52b0e9cff862 · outbound

This paper cites Large-Scale Contrastive Language-Audio Pretrain- ing with Feature Fusion and Keyword-to-Caption Augmentation,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Large-Scale Contrastive Language-Audio Pretrain- ing with Feature Fusion and Keyword-to-Caption Augmentation,

Reference 27

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raw_fallback, observed 2026-08-06T13:56:01.086044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ead8258e-6f76-4d66-b669-c57daf0f1fd2 · outbound

This paper cites Natural Language Supervision For General-Purpose Audio Representations,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Natural Language Supervision For General-Purpose Audio Representations,

Reference 28

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raw_fallback, observed 2026-08-06T13:56:01.077737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.624072Z digest=sha256:783589819d3d8ad8cb84608d5f0af179321270e073eafdb9c574b3673faae0a4

Observation 97a7dea8-3560-4ea9-8c0d-f029d1ef3897 · outbound

This paper cites Audio-Text Models Do Not Yet Leverage Natural Language,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Audio-Text Models Do Not Yet Leverage Natural Language,

Reference 29

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raw_fallback, observed 2026-08-06T13:56:01.069753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.687167Z digest=sha256:f5e8b30cb76671613da6c48b015555b084e736b00398c623a508077884a5e295

Observation f70d964f-19c0-46d3-baec-f9e941f03046 · outbound

This paper cites Pengi: An Audio Language Model for Audio Tasks,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Pengi: An Audio Language Model for Audio Tasks,

Reference 30

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raw_fallback, observed 2026-08-06T13:56:01.059777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.752506Z digest=sha256:6d49a9bdd94f0f0b3bfe78b560b3274beca75a1fb1d11720716f7b47c6759d38

Observation 9a4b42f8-bf65-40b4-8aad-f2824df0ae16 · outbound

This paper cites Audio Flamingo: A Novel Audio Language Model with Few- Shot Learning and Dialogue Abilities,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Audio Flamingo: A Novel Audio Language Model with Few- Shot Learning and Dialogue Abilities,

Reference 31

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raw_fallback, observed 2026-08-06T13:56:01.051247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.828009Z digest=sha256:950001a7b121236b439f490b0964a3d60d8e3486cd7e6cda33775e2a638e40d6

Observation 9c654a83-6817-4b70-92d6-94326abc0b7a · outbound

This paper cites an unresolved cited work.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-06T13:56:01.042900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.901471Z digest=sha256:04c2d5c602ac32711ba674b5fd99b306ce9c72ab22262f197f933530d5e3d898

Observation c1873420-4353-4f0e-9b1e-e28e0190f750 · outbound

This paper cites Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE),.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE),

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.035782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.918845Z digest=sha256:74ed2b8bbd8ab13bcbaa1b4c2c9b2ce029fb1076575b128217b4c200bef73ca4

Observation 5d19d051-23d9-4a23-9abb-63005e9f7dcf · outbound

This paper cites Using Mutual Information for Selecting Features in Supervised Neural Net Learning,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Using Mutual Information for Selecting Features in Supervised Neural Net Learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.027171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.935191Z digest=sha256:15ef5d9492028e370f19f222a2b0ed1abbf869b1fc91140666e9a4ccef5e9a87

Observation 9acb9c03-688b-4639-87b3-fd162e5939a0 · outbound

This paper cites A review of feature selection methods based on mutual information,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot A review of feature selection methods based on mutual information,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.018768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.952000Z digest=sha256:0adfce5e0624bd9c4e1c0cb6135f95b9a1c97f7166a5728411e9c30fb3d9eb60

Observation 6780ce1d-4624-4f09-b1f4-a66e96f13fc6 · outbound

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

Improving Audio Classification by Transitioning from Zero- to Few-Shot Audio Set: An ontology and human-labeled dataset for audio events,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.010697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.954428Z digest=sha256:95eda0bba7219513cb2e3aaf94ed93bb4ee9ba52f4f54b3a7b73b27f51297015

Observation ba659608-11ac-4f75-86bc-dfe63b9e516f · outbound

This paper cites ESC: Dataset for environmental sound classifica- tion,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot ESC: Dataset for environmental sound classifica- tion,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:01.002614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.956976Z digest=sha256:81c4e672373d53f5ddc8cff356405c4f6bb1522545358bcf31d8b768a3ecd567

Observation 308ed1da-6f7d-4489-948c-c463838c22a0 · outbound

This paper cites FSD50K: An Open Dataset of Human-Labeled Sound Events,.

Improving Audio Classification by Transitioning from Zero- to Few-Shot FSD50K: An Open Dataset of Human-Labeled Sound Events,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:56:00.994784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:56:00.959111Z digest=sha256:38ac203dda1cb74b2f098bbb862cdcc083e6ac56d7846ed7cc91eb226d326fa7

Pith citing papers

Observation 25ff1e03-5199-47c7-afda-8bfde9958495 · inbound

Improving Audio Classification by Transitioning from Zero- to Few-Shot cites this paper.

Improving Audio Classification by Transitioning from Zero- to Few-Shot Improving Audio Classification by Transitioning from Zero- to Few-Shot

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T13:56:00.985665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:55:57.464669Z digest=sha256:3690cc75b14a5e7d7e0f5289327696327ff9b31cd169ab52bb9f7b31f6e0ffa1