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Paper Citation Record · LEDGER

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2506.04376.

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

pith.paper-citation-record.v1
2506.04376 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:28.914342Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:28.765592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T10:16:52.262825Z

Reference resolution

28 of 28 outbound references displayed

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  • verified fuzzy14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4e61e18-3070-4930-8736-afe2982452c6 · outbound

This paper cites the sound of a park.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification the sound of a park

Reference 1

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Observation 4dd9b47e-4cfa-474a-94a9-e80b351708c6 · outbound

This paper cites Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification

Reference 2

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Observation d7e0e20d-f622-4b69-8152-1ee00ba66f82 · outbound

This paper cites contribution.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification contribution

Reference 3

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Observation 92ec2aee-cefe-4001-a594-df1033b14613 · outbound

This paper cites Apart from this, ATMs also face the challenge of themodality gap, wherein embeddings from differ- ent modalities are separated into distinct regions within the la- tent space.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Apart from this, ATMs also face the challenge of themodality gap, wherein embeddings from differ- ent modalities are separated into distinct regions within the la- tent space

Reference 4

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Observation 4f5460a9-5a75-45b6-88df-fc21ff64ef33 · outbound

This paper cites We compare three settings: no do- main adaptation (Baseline), text-based adaptation (Text), and audio-based adaptation (Audio).

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification We compare three settings: no do- main adaptation (Baseline), text-based adaptation (Text), and audio-based adaptation (Audio)

Reference 5

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Observation ef8c88a0-b297-45c7-905b-8a53254520a8 · outbound

This paper cites To address these challenges, we propose a domain adaptation method that significantly improves classification accuracy in various background environments and SNR levels.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification To address these challenges, we propose a domain adaptation method that significantly improves classification accuracy in various background environments and SNR levels

Reference 6

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Observation 3401f92d-6fff-4442-81fa-6a1d47affa9a · outbound

This paper cites Audioclip: Extend- ing clip to image, text and audio,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Audioclip: Extend- ing clip to image, text and audio,

Reference 7

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Observation 80c4a7f3-67be-4eb6-aa20-26d1a6ff56fc · outbound

This paper cites Clap learning audio concepts from natural language supervision,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Clap learning audio concepts from natural language supervision,

Reference 8

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Observation d999c27a-5ab7-4459-97ac-45c249100aad · outbound

This paper cites Analysis of sampling methodologies for noise pollution assessment and the impact on the population,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Analysis of sampling methodologies for noise pollution assessment and the impact on the population,

Reference 9

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Observation e8408095-8619-498f-9e39-5289a44cc5f5 · outbound

This paper cites Audio surveillance of roads: A system for detecting anomalous sounds,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Audio surveillance of roads: A system for detecting anomalous sounds,

Reference 10

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Observation bfe845ee-7a5a-4842-886d-026521122933 · outbound

This paper cites “Not There Yet.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification “Not There Yet

Reference 11

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Observation 732eae0b-2ac7-4d93-a14c-7a9674ca6b35 · outbound

This paper cites Deep learning and gradient boosting for urban environmental noise monitoring in smart cities,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Deep learning and gradient boosting for urban environmental noise monitoring in smart cities,

Reference 12

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This paper cites Large-scale contrastive language-audio pretrain- ing with feature fusion and keyword-to-caption augmentation,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Large-scale contrastive language-audio pretrain- ing with feature fusion and keyword-to-caption augmentation,

Reference 13

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Observation f87c0cb0-84bc-4b0e-bf90-804ea1b3a7e5 · outbound

This paper cites Evalu- ation of deep audio representations for semantic sound similarity,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Evalu- ation of deep audio representations for semantic sound similarity,

Reference 14

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Observation 5dd03ca1-3479-4dcc-8524-d0cbbe9f08cb · outbound

This paper cites Domain Adaptation for Contrastive Audio-Language Models.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Domain Adaptation for Contrastive Audio-Language Models

Reference 15

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Observation 4de8cdcc-6e4a-43bb-ae7e-d7c13bb68182 · outbound

This paper cites PALM: Few-Shot Prompt Learning for Audio Language Models.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification PALM: Few-Shot Prompt Learning for Audio Language Models

Reference 16

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Observation 9d71fd9f-3731-42b3-86f1-f36b2357fe8d · outbound

This paper cites Audio-text mod- els do not yet leverage natural language,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Audio-text mod- els do not yet leverage natural language,

Reference 17

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Observation 633cf110-1276-4f79-8821-6b99dbc98274 · outbound

This paper cites It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap

Reference 18

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Observation 506e1fc3-5f00-470c-b5bb-88ce4c6617d4 · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning,

Reference 19

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Observation 4cd277b5-9295-4823-8162-c7187e06bddf · outbound

This paper cites Weakly-supervised Automated Audio Captioning via text only training.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Weakly-supervised Automated Audio Captioning via text only training

Reference 20

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Observation f8a28c14-893f-4633-b1f5-ce83b746869b · outbound

This paper cites A Multimodal Prototypical Approach for Unsupervised Sound Classification.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification A Multimodal Prototypical Approach for Unsupervised Sound Classification

Reference 21

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Observation c73b31af-4e38-45c5-b3df-216748c49878 · outbound

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

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Scaper: A library for soundscape synthesis and augmentation,

Reference 22

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Source-reported events for the cited work

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Observation e6f81e59-936b-4d22-b237-f1c52cfd8626 · outbound

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

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification A dataset and taxonomy for urban sound research,

Reference 23

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Observation 7a8d47e3-e49c-4be3-b16d-9819548ce567 · outbound

This paper cites A multi-device dataset for urban acoustic scene classification.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification A multi-device dataset for urban acoustic scene classification

Reference 24

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Observation c00439d2-804b-4d5f-a523-d5ca965fc72c · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Robust speech recognition via large-scale weak supervision,

Reference 25

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This paper cites Multi-label Zero-Shot Audio Classification with Temporal Attention.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Multi-label Zero-Shot Audio Classification with Temporal Attention

Reference 26

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Source-reported events for the cited work

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Observation 5ed4d4bb-e52e-4655-a1c0-6ee0e33e9a71 · outbound

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

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification TUT database for acoustic scene classification and sound event detection,

Reference 27

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Source-reported events for the cited work

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Observation d02162d2-d683-4f7d-8558-c416090ca006 · outbound

This paper cites DCASE 2017 challenge setup: Tasks, datasets and baseline system,.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification DCASE 2017 challenge setup: Tasks, datasets and baseline system,

Reference 28

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Pith citing papers

Observation 4dd9b47e-4cfa-474a-94a9-e80b351708c6 · inbound

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification cites this paper.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification

Reference 2

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Observation b31a2349-102d-4345-a36d-1ee53ea73214 · inbound

Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification cites this paper.

Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification

Reference 18

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