Paper Citation Record · LEDGER

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2606.31587.

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

pith.paper-citation-record.v1
2606.31587 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:02:12.747334Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:02:12.747334Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T12:05:42.774435Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy25
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f391ff07-c5d3-4cc2-aa6b-ebf3e0f2a2e6 · outbound

This paper cites ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T12:05:42.775862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6df10088-3af6-4c27-aad6-1a173728eae1 · outbound

This paper cites CLAP [2] and AudioCLIP [3], for example, extend this paradigm to align audio and textual representations, enabling robust audio classification and cross-modal retrieval.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models CLAP [2] and AudioCLIP [3], for example, extend this paradigm to align audio and textual representations, enabling robust audio classification and cross-modal retrieval

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.191033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c84f05c-079f-480b-941d-e3099af70cc3 · outbound

This paper cites Letxdenote an input audio waveform, and lett={t 1, t2,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Letxdenote an input audio waveform, and lett={t 1, t2,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.156178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 976ee923-f887-4ba7-8c9b-339d884c92ad · outbound

This paper cites an unresolved cited work.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Unresolved cited work

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-07-07T02:53:19.212469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6acfbc7-87da-46df-bf58-97f336ec15bb · outbound

This paper cites an unresolved cited work.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-07-07T02:53:19.182915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a1cb418e-6639-448e-9e38-07c739dbbf8c · outbound

This paper cites All ideas, analyses, and con- clusions are the authors’ own.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models All ideas, analyses, and con- clusions are the authors’ own

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.200136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0d7cf67-741f-4679-acc4-f30859e58bf6 · outbound

This paper cites Pengi: An audio language model for audio tasks.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Pengi: An audio language model for audio tasks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.226313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 311c7117-47ab-4c23-96f6-bc306843131b · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Clap learning audio concepts from natural language supervision

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.203347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2889ab81-2a13-4060-b349-7be5c3da9b1d · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Audioclip: Extend- ing clip to image, text and audio,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.243999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd5b1fe2-c139-470c-9911-d559c83b4927 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Vision-language models for vision tasks: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.239760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd2278ee-6757-4e75-a6b0-1efff03b6ad4 · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Learning to prompt for vision-language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.210081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 364d61c0-bc26-4dfc-a1d2-ff3460e29081 · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Conditional prompt learning for vision-language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.228879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04c0be75-8aac-4215-a030-46dfe30143d4 · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Learning transferable visual models from natural language supervision,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.168555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29510b11-2cee-45ee-927b-eff60a3f63ee · outbound

This paper cites A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:05:42.782901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55c04c54-cc87-4936-b775-19f692a5d798 · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.177858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4569e2d-53c5-49b0-9eea-d6bb7ea67b88 · outbound

This paper cites Baple: Backdoor attacks on medical foundational models using prompt learning,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Baple: Backdoor attacks on medical foundational models using prompt learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.196579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0566b9ee-f14a-4d61-90f5-65b2de30567a · outbound

This paper cites Noise is an efficient learner for zero-shot vision-language models,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Noise is an efficient learner for zero-shot vision-language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.254943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e53037aa-b078-48bc-954b-72374016606a · outbound

This paper cites Palm: Few- shot prompt learning for audio language models,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Palm: Few- shot prompt learning for audio language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.222850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62cb95ba-b300-4d36-965e-0f5cec1874fa · outbound

This paper cites Pat: Parameter-free audio-text aligner to boost zero-shot audio classification,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Pat: Parameter-free audio-text aligner to boost zero-shot audio classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.206706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27c71d1d-a572-4367-80b8-e7dc5b32af1c · outbound

This paper cites Trojan- wave: Exploiting prompt learning for stealthy backdoor attacks on large audio-language models,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Trojan- wave: Exploiting prompt learning for stealthy backdoor attacks on large audio-language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.232097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6b66873-4cf4-4ebf-b61d-8bc1d646c9c9 · outbound

This paper cites A study of instrument-wise onset detection in beijing opera percussion ensembles,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models A study of instrument-wise onset detection in beijing opera percussion ensembles,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.160392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c880aa7-acd3-4b86-b9f5-974a803e3a5d · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Neural audio synthesis of musical notes with wavenet autoencoders,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.215600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d0746e9-0807-4fc1-b81b-9c8e61d16a83 · outbound

This paper cites ESC: Dataset for Environmental Sound Classification.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models ESC: Dataset for Environmental Sound Classification

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:05:42.779511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fa86aa7-1fe2-4a09-9682-cf2b2e52663a · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models A dataset and taxonomy for urban sound research

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.151001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3957af81-3dfc-4892-bafe-a5a7bc58f739 · outbound

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

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Crema-d: Crowd-sourced emotional multimodal actors dataset

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.247644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16110210-5e4a-4124-88ef-633eb027ab46 · 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.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models 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 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.164147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b1a7854a-9f86-4735-a876-a6aff44dd2ce · outbound

This paper cites Psla: Improving audio tagging with pretraining, sampling, labeling, and aggregation,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Psla: Improving audio tagging with pretraining, sampling, labeling, and aggregation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.172339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d829212-10db-4f33-bad5-8dbe07a4c83d · outbound

This paper cites Sound events for surveillance applications,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models Sound events for surveillance applications,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.235706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6cd39ea4-0d31-4062-8610-1640389cc73e · outbound

This paper cites TUT Acoustic Scenes 2017, Development dataset,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models TUT Acoustic Scenes 2017, Development dataset,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.251370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 991620df-a455-4857-921f-284bf80f245e · outbound

This paper cites An analysis of the gtzan music genre dataset,.

ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models An analysis of the gtzan music genre dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:53:19.187011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation f391ff07-c5d3-4cc2-aa6b-ebf3e0f2a2e6 · inbound