Paper Citation Record · LEDGER

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.17306.

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

pith.paper-citation-record.v1
2412.17306 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:40:31.698202Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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verified fuzzy21
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04e40ff3-35ce-45d5-b695-55f1dfd1d640 · outbound

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Natural Language Supervision for General-Purpose Audio Representations

Reference 1

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Source-reported events for the cited work

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Observation 2040c3a2-49fc-4f85-af43-1ab463a0f718 · outbound

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Pengi: An Audio Language Model for Audio Tasks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:40:31.439659Z

Source-reported events for the cited work

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Observation e4cb841c-e23b-4f24-9b3a-8ebabbb7dd51 · outbound

This paper cites Listen, Think, and Understand.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Listen, Think, and Understand

Reference 3

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Observation 9681e8b6-9ed9-4f50-86a3-6805bbea8ee2 · outbound

This paper cites Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Reference 4

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Observation cb4adb77-a324-45c8-9c67-89d11e27b840 · outbound

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Clap learning audio concepts from natural language supervision,

Reference 5

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Observation b7158a8e-687d-4d01-8c30-0516c295d2d6 · outbound

This paper cites Audio-free Prompt Tuning for Language-Audio Models.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Audio-free Prompt Tuning for Language-Audio Models

Reference 6

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Observation 669095e8-b088-47f5-9fe7-635653ee80eb · outbound

This paper cites Adapting Language-Audio Models as Few-Shot Audio Learners.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Adapting Language-Audio Models as Few-Shot Audio Learners

Reference 7

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Observation c0ffef81-b74f-4916-8b2a-072dc9c4b0f5 · outbound

This paper cites Learning to prompt for vision-language models,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Learning to prompt for vision-language models,

Reference 8

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Observation 18f01fdf-9dd3-4bda-af63-13270fbab00e · outbound

This paper cites Conditional prompt learning for vision-language models,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Conditional prompt learning for vision-language models,

Reference 9

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Observation 5e698f11-f4b9-4354-ab08-9ccf5b5230f3 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Self-regulating prompts: Foundational model adaptation without forgetting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.208754Z

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Observation 89992154-a949-404f-8280-3d57fe622df2 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Learning transferable visual models from natural language supervision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.193156Z

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Observation e36b19b4-483a-4722-bbe2-63444d7deed0 · outbound

This paper cites Consistency-guided Prompt Learning for Vision-Language Models.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Consistency-guided Prompt Learning for Vision-Language Models

Reference 12

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Observation 223526c1-1c13-435f-95c6-d59c99ba487f · outbound

This paper cites Test-time training with self-supervision for generalization un- der distribution shifts,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Test-time training with self-supervision for generalization un- der distribution shifts,

Reference 13

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Observation fda7c0bb-4ac7-42c0-a225-90bda8560fc1 · outbound

This paper cites Ttt++: When does self-supervised test-time training fail or thrive?.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Ttt++: When does self-supervised test-time training fail or thrive?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.159054Z

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Observation 8bf5a476-bc61-4e62-84a8-6fbe22926a1b · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Tent: Fully test-time adaptation by entropy minimization,

Reference 15

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Source-reported events for the cited work

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Observation 5e632284-9d3f-47de-87b5-6ec7a31fc034 · outbound

This paper cites Test- time training with masked autoencoders,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Test- time training with masked autoencoders,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.126196Z

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Observation f981c864-0053-4c83-b789-efe25db29a87 · outbound

This paper cites Memo: Test time robust- ness via adaptation and augmentation,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Memo: Test time robust- ness via adaptation and augmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.112763Z

Source-reported events for the cited work

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Observation cb459315-4630-44df-b0d9-9b9ec9ee9456 · outbound

This paper cites Test-time prompt tuning for zero-shot gen- eralization in vision-language models,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Test-time prompt tuning for zero-shot gen- eralization in vision-language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.096763Z

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Observation 06ae624c-63b4-4377-8460-6d8a653621b8 · outbound

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Domain Adaptation for Contrastive Audio-Language Models

Reference 19

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Observation 3ce1eac3-33e9-4134-a263-25622c34312d · outbound

This paper cites Specaugment: A simple data augmenta- tion method for automatic speech recognition,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Specaugment: A simple data augmenta- tion method for automatic speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.078210Z

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Observation 55d91f44-20e3-4cdc-bfaa-cff60215624b · outbound

This paper cites Mixstyle-based contrastive test- time adaptation: Pathway to domain generalization,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Mixstyle-based contrastive test- time adaptation: Pathway to domain generalization,

Reference 21

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Observation 25af2e46-45d7-45a7-8ce3-bde4c3bdd708 · outbound

This paper cites Hts-at: A hierarchical token-semantic audio trans- former for sound classification and detection,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Hts-at: A hierarchical token-semantic audio trans- former for sound classification and detection,

Reference 22

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Observation 3758e241-d7ae-4b4b-99c3-4eb3b46656d2 · outbound

This paper cites Training Audio Captioning Models without Audio.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Training Audio Captioning Models without Audio

Reference 23

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Source-reported events for the cited work

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Observation 1ccfdcb9-1422-4bc2-bd7a-307e21e9e84d · outbound

This paper cites Language models are unsupervised multitask learners,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Language models are unsupervised multitask learners,

Reference 24

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Observation 885a3bd7-6b6e-4e88-b0df-bacdb83e701a · outbound

This paper cites Decoupled weight decay regular- ization,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Decoupled weight decay regular- ization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:32.021960Z

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Observation fd23fff8-6e7d-436e-9326-f8cccbdcbbd7 · outbound

This paper cites HEAR: Holistic Evaluation of Audio Representations.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio HEAR: Holistic Evaluation of Audio Representations

Reference 26

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Esc: Dataset for environmental sound classifica- tion,

Reference 27

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Observation 7439398e-b35c-4314-a75e-3098098f1981 · outbound

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio A dataset and taxonomy for urban sound research,

Reference 28

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Observation fab91357-9260-43c9-816e-dfdffd299061 · outbound

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

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio DCASE 2017 challenge setup: tasks, datasets and baseline system,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:31.960802Z

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Observation b209dba2-a00c-4ba3-b107-733d09a6c586 · outbound

This paper cites Automatic musical genre classification of audio signals,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Automatic musical genre classification of audio signals,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:31.940207Z

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Observation fcb18012-b845-4d2a-9d06-a363725828dd · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 31

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Source-reported events for the cited work

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Observation 6c73eea0-286a-4653-be60-5349df7dbda3 · outbound

This paper cites The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:31.919454Z

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Observation 0f3b915e-7d4e-4330-b00c-38dc6ae24e0e · outbound

This paper cites V ocalsound: A dataset for improving human vocal sounds recognition,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio V ocalsound: A dataset for improving human vocal sounds recognition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:31.905460Z

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Observation fe5de9aa-534f-463c-888e-2b32d79d636a · outbound

This paper cites Sound events for surveillance applications,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Sound events for surveillance applications,

Reference 34

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Source-reported events for the cited work

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Observation 7ccc4677-0cbb-480c-894e-0f5201124052 · outbound

This paper cites Neural audio synthesis of musical notes with wavenet autoencoders,.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Neural audio synthesis of musical notes with wavenet autoencoders,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:40:31.882388Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.