Paper Citation Record · LEDGER

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 8 inbound Pith citation observations for arXiv:2501.17202.

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

pith.paper-citation-record.v1
2501.17202 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:30:52.147660Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:28:47.037457Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:00:05.360195Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy11
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72f6b656-f1c1-4690-901a-b2d9f560d298 · outbound

This paper cites SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:51.999801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b5dfb2-17d1-469e-979f-074636907a6d · outbound

This paper cites According to the context, please judge if SpeechA is better or SpeechB is better. Only output ’[SpeechA]’ or ’[SpeechB]’, do not give any analysis.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators According to the context, please judge if SpeechA is better or SpeechB is better. Only output ’[SpeechA]’ or ’[SpeechB]’, do not give any analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.478830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8f58b33-42e1-48d5-8162-21e7b7495b96 · outbound

This paper cites Salm: Speech-augmented lan- guage model with in-context learning for speech recognition and translation.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Salm: Speech-augmented lan- guage model with in-context learning for speech recognition and translation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.602001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56e69171-dae9-441e-9911-22dcb5fc5c79 · outbound

This paper cites Ghostt5: generate more features with cheap operations to improve textless spoken question answering.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Ghostt5: generate more features with cheap operations to improve textless spoken question answering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.588957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 785c26a6-6838-4358-8ea6-728b54a3ca98 · outbound

This paper cites Qwen2-Audio Technical Report.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Qwen2-Audio Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.043996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6ae150-c2a3-4019-8461-8dec0dcc0e70 · outbound

This paper cites How do Voices from Past Speech Synthesis Challenges Compare Today?.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators How do Voices from Past Speech Synthesis Challenges Compare Today?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T12:30:52.398187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67fffb3a-0004-466f-bfee-4a17bb9aaebb · outbound

This paper cites Generalization ability of mos prediction networks.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Generalization ability of mos prediction networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.564190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f99a486-1e1d-4278-8654-29993913b120 · outbound

This paper cites Clotho: An audio captioning dataset.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Clotho: An audio captioning dataset

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.552390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 99e646cd-c4c4-4ed1-b863-3c2239f1ecc6 · outbound

This paper cites Prompting large language models with speech recognition abilities.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Prompting large language models with speech recognition abilities

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.540069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af01fda4-9b9f-4db8-b018-cab064837118 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.069262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ec89678-f4b5-4d0e-a619-1e8f71e72fff · outbound

This paper cites WavLLM: Towards Robust and Adaptive Speech Large Language Model.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators WavLLM: Towards Robust and Adaptive Speech Large Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.072980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef43b0a-9349-4030-b0a8-5cd18c9f655b · outbound

This paper cites WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T12:30:52.348858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e338897b-139b-4f6c-89cd-c03b2dc76461 · outbound

This paper cites MOSNet: Deep Learning based Objective Assessment for Voice Conversion.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators MOSNet: Deep Learning based Objective Assessment for Voice Conversion

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.080500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be93759f-f1ab-42ed-97ef-c47e7ef11280 · outbound

This paper cites NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.089145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc70127-4c19-4bfa-b837-93d4f26b9626 · outbound

This paper cites Whispering llama: A cross-modal generative error correction frame- work for speech recognition.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Whispering llama: A cross-modal generative error correction frame- work for speech recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.526693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 714ba838-3b14-40d6-b964-3367cd81ea53 · outbound

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

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.099804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de610b51-3a87-41b9-8064-5dcb08fbdf24 · outbound

This paper cites Large language model-based emo- tional speech annotation using context and acoustic feature for speech emotion recognition.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Large language model-based emo- tional speech annotation using context and acoustic feature for speech emotion recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.514233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95c70b80-3a3d-4e1a-acd9-5e242e341fc7 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.106870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d887ba-6232-4255-b4e9-aaab41a0aae8 · outbound

This paper cites Extending large language models for speech and audio captioning.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Extending large language models for speech and audio captioning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.501554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe446ed3-36a1-40ec-b0c3-b413ca1f4057 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators LLaMA: Open and Efficient Foundation Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.114839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2368ce1-04f7-4276-9826-ba0755ec981e · outbound

This paper cites Towards measuring fairness in speech recognition: Fair-Speech dataset.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Towards measuring fairness in speech recognition: Fair-Speech dataset

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.119226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f0a4d9-b092-4129-845f-35131503a03f · outbound

This paper cites Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T12:30:52.228037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bd2fd62-9bab-4198-8585-37b31aac14d6 · outbound

This paper cites AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.131510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de16e73-a858-4fdb-a294-805dacb001cb · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.135405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c5dfe3-80e9-4824-9cce-ed51a1483fc7 · outbound

This paper cites Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Can LLMs "Reason" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.139252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4227ac8c-0e9f-43de-b704-ca92fdc2644e · outbound

This paper cites The overall MOS is:.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators The overall MOS is:

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.490160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbe61ebe-1ea8-4841-a900-d20a5fa16e6f · outbound

This paper cites AudioBench: A Universal Benchmark for Audio Large Language Models.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators AudioBench: A Universal Benchmark for Audio Large Language Models

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.122984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906cd69b-d30e-43f9-9143-7bb3626278ef · outbound

This paper cites SpeechVerse: A Large-scale Generalizable Audio Language Model.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators SpeechVerse: A Large-scale Generalizable Audio Language Model

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.057019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28145f5d-254e-40d4-8700-a60560f4bed6 · outbound

This paper cites VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.092877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78d5ae2-659d-4f9f-ac33-a6669d093d25 · outbound

This paper cites mSLAM: Massively multilingual joint pre-training for speech and text.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators mSLAM: Massively multilingual joint pre-training for speech and text

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.016897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52791c61-0c25-417a-a2f8-6e053af36743 · outbound

This paper cites SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.084767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e780f9-a587-49a4-b6f5-4539d3c92ace · outbound

This paper cites An Actor-Critic Algorithm for Sequence Prediction.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators An Actor-Critic Algorithm for Sequence Prediction

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.011797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86eb0baa-8cc8-41de-b3b5-487722b3924c · outbound

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

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.039285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d190569-ab3c-40ea-b88f-2df489d5d019 · outbound

This paper cites Language models are few-shot learners.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Language models are few-shot learners

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.021805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23cb481-5b37-4662-9441-e97edffc5004 · outbound

This paper cites Neural mos prediction for synthesized speech using multi-task learning with spoofing detection and spoofing type classification.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Neural mos prediction for synthesized speech using multi-task learning with spoofing detection and spoofing type classification

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:30:52.576421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a820f333-86f3-46f8-b3e8-c2ec82ea625a · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Common Voice: A Massively-Multilingual Speech Corpus

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T12:30:52.006659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ffd1783b-d96b-45b3-875b-cd32e9e3f7cc · inbound

Breaking the Barriers of Text-Hungry and Audio-Deficient AI cites this paper.

Breaking the Barriers of Text-Hungry and Audio-Deficient AI Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:28:47.037457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4438c967-708a-4a77-b424-5c1fea0523df · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:45.789315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ac5bb8-720a-4bd5-9a60-a338f7edbafb · inbound

LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement cites this paper.

LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T18:15:19.109526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f15453f-4e66-438b-9c6a-b6ef15e87eff · inbound

Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning cites this paper.

Character Beyond Speech: Leveraging Role-Playing Evaluation in Audio Large Language Models via Reinforcement Learning Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:25:30.041088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 87afe5aa-34f3-4a35-8bf4-c560a04f6c03 · inbound

JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions cites this paper.

JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:01:08.390150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c8cc6cd-a618-4569-aef5-029501514883 · inbound

Leveraging Audio-LLMs to Filter Speech-to-Speech Training Data cites this paper.

Leveraging Audio-LLMs to Filter Speech-to-Speech Training Data Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:38:28.985717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cde5ebd0-4423-4e58-9e2a-a4b0db38dcef · inbound

ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge cites this paper.

ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:00:05.362056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f011e11f-c333-499d-8a32-f0ac6a4bab85 · inbound

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment cites this paper.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Reference 145

Resolution: unresolved; no resolver link, observed 2026-08-01T07:12:17.685669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.