Paper Citation Record · LEDGER

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling

As of 6 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2603.05094.

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

pith.paper-citation-record.v1
2603.05094 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T15:40:07.421894Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T15:40:07.421894Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-15T15:41:12.087219Z

Reference resolution

44 of 44 outbound references displayed

verified exact12
verified fuzzy29
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External citation measurements

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Outbound references

Observation c2ad3e17-146d-47eb-8c94-d0335a3f926a · outbound

This paper cites TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:41:12.090471Z

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Observation c1d7ee02-2725-4d0a-b589-b43a669cf98f · outbound

This paper cites an unresolved cited work.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Unresolved cited work

Reference 2

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Observation 58dc4f1c-1a71-4e0c-bdd4-4c66a4cf9c8a · outbound

This paper cites acoustic long-tail.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling acoustic long-tail

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.539993Z

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Observation c3a18b3d-3762-497f-a18e-4ec2015e42aa · outbound

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TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Unresolved cited work

Reference 4

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Observation eaabe514-74a4-4f48-ace0-10d9ab9592d6 · outbound

This paper cites To preserve speech-free soundmarks, clips where both ASRs yield empty outputs bypass the text check.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling To preserve speech-free soundmarks, clips where both ASRs yield empty outputs bypass the text check

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.656907Z

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Observation a5c7abf1-20f0-4e0f-b76f-ef565e77dd8e · outbound

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TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Unresolved cited work

Reference 6

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Observation 61b305de-86fc-4728-85e5-ce1b2c649505 · outbound

This paper cites Hello everyone.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Hello everyone

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.670278Z

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Observation ba5f6592-67c2-4563-a3e3-aafa29c606b3 · outbound

This paper cites Experimental Setup Implementation Details:The proposed model, Tai-LALM, is developed as a localized adaptation of the DeSTA 2.5-Audio framework.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Experimental Setup Implementation Details:The proposed model, Tai-LALM, is developed as a localized adaptation of the DeSTA 2.5-Audio framework

Reference 8

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Observation 944ae7f0-7b37-4398-97ba-a9f7769ac5c6 · outbound

This paper cites Architectural scal- ing alone is insufficient for robust sound-to-meaning ground- ing without localized acoustic semantics.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Architectural scal- ing alone is insufficient for robust sound-to-meaning ground- ing without localized acoustic semantics

Reference 9

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Observation e02ad1cd-4a20-4dcf-8ac0-0ab1f5aaf742 · outbound

This paper cites Beyond the Taiwanese context, this pipeline offers a method for regional adaptation.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Beyond the Taiwanese context, this pipeline offers a method for regional adaptation

Reference 10

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Observation 3ab9292e-e197-4519-b3b5-3d214061f0da · outbound

This paper cites The perfor- mance gains underscore the necessity of the VGC pipeline for robust training-time curation and Dual-ASR arbitration for sta- bilizing inference.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling The perfor- mance gains underscore the necessity of the VGC pipeline for robust training-time curation and Dual-ASR arbitration for sta- bilizing inference

Reference 11

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Observation b65cae82-50fa-4474-8a71-11e63c0c172f · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 12

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Observation 75e9f46a-c54b-45ad-b32d-60bdc1d41b2e · outbound

This paper cites Dynamic-SUPERB Phase-2: A collaboratively expanding benchmark for measuring the capa- bilities of spoken language models with 180 tasks.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Dynamic-SUPERB Phase-2: A collaboratively expanding benchmark for measuring the capa- bilities of spoken language models with 180 tasks

Reference 13

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Observation 8dc8a962-a94b-49f4-a55e-d0b1629820e1 · outbound

This paper cites Listen, think, and understand.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Listen, think, and understand

Reference 14

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Observation e0a623f6-c828-4464-b9e0-9fc2fc9bb675 · outbound

This paper cites SALMONN: Towards generic hearing abilities for large language models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling SALMONN: Towards generic hearing abilities for large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.565753Z

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Observation 4eaee3f0-f2e7-4f2a-89ec-0f84c995de76 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 16

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Observation cce735d0-dced-49b6-86da-d08e9df6816c · outbound

This paper cites CultureLLM: Incorporating cultural differences into large language models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling CultureLLM: Incorporating cultural differences into large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.548439Z

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Observation 3adab25d-ddcf-42b0-b2ae-5dffbb57b0ea · outbound

This paper cites Universal paralinguistic speech representations using self-supervised con- formers.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Universal paralinguistic speech representations using self-supervised con- formers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.624284Z

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Observation a00cccf8-d019-448b-8617-d4d74dfe1569 · outbound

This paper cites Building a Taiwanese Mandarin Spoken Language Model: A First Attempt.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Building a Taiwanese Mandarin Spoken Language Model: A First Attempt

Reference 19

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Observation b4a85159-a69d-4ed1-a07f-9f381714c7cb · outbound

This paper cites Understanding sounds, missing the questions: The challenge of object hallucination in large audio-language models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Understanding sounds, missing the questions: The challenge of object hallucination in large audio-language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.611522Z

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Observation 04407e70-5fd3-4939-afd3-cddb23e862ff · outbound

This paper cites Mitigating subgroup dis- parities in multi-label speech emotion recognition: A pseudo- labeling and unsupervised learning approach.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Mitigating subgroup dis- parities in multi-label speech emotion recognition: A pseudo- labeling and unsupervised learning approach

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.556825Z

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Observation 0110998a-97a3-4756-a826-22975c002534 · outbound

This paper cites AudioSet: An ontology and human-labeled dataset for audio events.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling AudioSet: An ontology and human-labeled dataset for audio events

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.615657Z

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Observation cd723bb6-25f5-4c47-808b-76a4968ca288 · outbound

This paper cites Lib- riSpeech: An ASR corpus based on public domain audio books.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Lib- riSpeech: An ASR corpus based on public domain audio books

Reference 23

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Observation 31f3d6d9-cfe5-4661-a66a-4cf0dea0c4cd · outbound

This paper cites WenetSpeech: A 10000+ hours multi-domain mandarin corpus for speech recognition.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling WenetSpeech: A 10000+ hours multi-domain mandarin corpus for speech recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.652162Z

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Observation 9bc4780a-01bc-4901-8c04-2fb1c7fb6497 · outbound

This paper cites AudioGen: Tex- tually guided audio generation.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling AudioGen: Tex- tually guided audio generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.607808Z

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Observation da662ac1-43f3-41c4-bf05-78d6facf5437 · outbound

This paper cites When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:41:12.029178Z

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Observation 90cd461a-39cf-41a4-a45f-a9b9926f70e0 · outbound

This paper cites WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:41:12.042921Z

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Observation b8819a61-e5ed-4733-8bf8-cacc9813cd48 · outbound

This paper cites Ke- Speech: An open source speech dataset of Mandarin and its eight subdialects.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Ke- Speech: An open source speech dataset of Mandarin and its eight subdialects

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.569860Z

Source-reported events for the cited work

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Observation 0863d271-bea5-4dde-8292-44d96213b520 · outbound

This paper cites LESS: Large language model enhanced semi-supervised learning for speech foundational models using in-the-wild data.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling LESS: Large language model enhanced semi-supervised learning for speech foundational models using in-the-wild data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.597404Z

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Observation b00ad799-b7d4-4046-a998-7c2f3cda719e · outbound

This paper cites Training language mod- els to follow instructions with human feedback.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Training language mod- els to follow instructions with human feedback

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.586867Z

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Observation efa01878-ef1b-4e10-8478-cd0d23bff92e · outbound

This paper cites Data-centric lessons to improve speech-language pretraining.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Data-centric lessons to improve speech-language pretraining

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:41:12.056262Z

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Observation 300b3fd7-8048-4c67-ae5b-09cced34f132 · outbound

This paper cites Reducing ob- ject hallucination in large audio-language models via audio-aware decoding.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Reducing ob- ject hallucination in large audio-language models via audio-aware decoding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.592199Z

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Observation 075cd9f5-c2ee-428d-8f81-d231c6423f2a · outbound

This paper cites Beyond transcription: Mechanistic interpretability in ASR.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Beyond transcription: Mechanistic interpretability in ASR

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.602913Z

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Observation 46975b0f-9fff-4e39-bb9c-6e1e06c911ac · outbound

This paper cites TAU: A benchmark for cultural sound understanding beyond semantics.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling TAU: A benchmark for cultural sound understanding beyond semantics

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.619954Z

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Observation 63112cbf-69af-4d20-b282-69d48e16c237 · outbound

This paper cites DeSTA2.5-Audio: Toward general- purpose large audio language model with self-generated cross- modal alignment.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling DeSTA2.5-Audio: Toward general- purpose large audio language model with self-generated cross- modal alignment

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.628540Z

Source-reported events for the cited work

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Observation fb14dec9-9e30-49d3-ab98-5dc0eda6dfb4 · outbound

This paper cites Attention- passing models for robust and data-efficient end-to-end speech translation.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Attention- passing models for robust and data-efficient end-to-end speech translation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.638215Z

Source-reported events for the cited work

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Observation df6cac8d-acff-4af8-b471-8312b88f3a36 · outbound

This paper cites Lost in transcription, found in distribution shift: Demystifying hallucination in speech foundation models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Lost in transcription, found in distribution shift: Demystifying hallucination in speech foundation models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.582394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eafd01da-5065-411d-8b0c-f6a289d81f4a · outbound

This paper cites Teaching audio-aware large language models what does not hear: Mitigating hallucinations through synthesized negative samples.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Teaching audio-aware large language models what does not hear: Mitigating hallucinations through synthesized negative samples

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.577996Z

Source-reported events for the cited work

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Observation 2086a53c-cd28-4c44-8134-1640c39e5fea · outbound

This paper cites Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:41:12.022755Z

Source-reported events for the cited work

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Observation bd2de4d1-4754-464e-be92-2f2d992f940f · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Robust speech recognition via large-scale weak su- pervision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T15:41:12.573996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 814d604a-bab6-4ee4-a3bd-e5d0fba97762 · outbound

This paper cites FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:41:12.084111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c05e7224-bbf4-4475-ab49-064a0f8c7e9c · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:41:12.062679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1ab2d00-a676-43e9-bbfa-04079f2a6d73 · outbound

This paper cites Qwen2.5-Omni Technical Report.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Qwen2.5-Omni Technical Report

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:41:12.049671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33308ca8-b00c-4034-be1d-b4d7af0aec01 · outbound

This paper cites Qwen2-Audio Technical Report.

TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling Qwen2-Audio Technical Report

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:41:12.070080Z

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Pith citing papers

Observation c2ad3e17-146d-47eb-8c94-d0335a3f926a · inbound