Paper Citation Record · LEDGER

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2508.07273.

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

pith.paper-citation-record.v1
2508.07273 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:19:03.131803Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy27
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4826f91-e930-4571-af64-868e66878355 · outbound

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

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:18:57.881185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb81b11-8db1-4cfb-8362-02103d244f99 · outbound

This paper cites Qwen2-Audio Technical Report.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Qwen2-Audio Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T22:18:57.990172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fcdb65a-1231-4ffe-8460-ed12d2a6d3e6 · outbound

This paper cites GPT-4 Technical Report.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T22:18:58.130239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1436705d-17b9-439d-b5a3-4e5eb7a9d8b1 · outbound

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

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 4

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Source-reported events for the cited work

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Observation c9d18b3b-045c-439f-89c4-e4529e4a8c42 · outbound

This paper cites Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 5

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Observation e3f07d77-2dea-496e-8e8e-f7d5bfd38919 · outbound

This paper cites Paralinguistics- aware speech-empowered large language models for natural conversa- tion,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Paralinguistics- aware speech-empowered large language models for natural conversa- tion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:11.147456Z

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Observation e89fc06b-8bf9-41ef-91c5-30cafc19f03d · outbound

This paper cites Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T22:18:58.748810Z

Source-reported events for the cited work

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Observation f74ae3df-7fb6-47ad-a15e-ca1f4bd8c37e · outbound

This paper cites BLSP-Emo: Towards empathetic large speech-language models,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models BLSP-Emo: Towards empathetic large speech-language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:10.990667Z

Source-reported events for the cited work

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Observation ff0d1a75-3f6f-4567-879c-7ec9dd830f1c · outbound

This paper cites DeSTA: Enhancing speech language models through descriptive speech-text alignment,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models DeSTA: Enhancing speech language models through descriptive speech-text alignment,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:10.821861Z

Source-reported events for the cited work

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Observation f7cde303-a5b5-4319-838c-36ce2085b52c · outbound

This paper cites DeSTA2: Developing instruction-following speech language model without speech instruction-tuning data,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models DeSTA2: Developing instruction-following speech language model without speech instruction-tuning data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:10.568200Z

Source-reported events for the cited work

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Observation 396c684e-e5fa-4f94-9cb2-6c0ca3d20be2 · outbound

This paper cites Beyond silent letters: Amplifying LLMs in emotion recognition with vocal nuances,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Beyond silent letters: Amplifying LLMs in emotion recognition with vocal nuances,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:10.233939Z

Source-reported events for the cited work

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Observation 13f75bb6-1233-458d-9f6c-93ae9b31edc1 · outbound

This paper cites CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:09.973950Z

Source-reported events for the cited work

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Observation 7080ceca-6ea4-400f-9df0-0ebcb419c949 · outbound

This paper cites SECap: Speech emotion captioning with large language model,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models SECap: Speech emotion captioning with large language model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:09.690497Z

Source-reported events for the cited work

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Observation d5f71264-0a61-41af-9a2f-98dad20db104 · outbound

This paper cites Empower typed descriptions by large language models for speech emotion recognition,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Empower typed descriptions by large language models for speech emotion recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:09.371189Z

Source-reported events for the cited work

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Observation 10f686a7-c02d-4952-944b-47344877811a · outbound

This paper cites V oxDialogue: Can spoken dialogue systems understand information be- yond words?,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models V oxDialogue: Can spoken dialogue systems understand information be- yond words?,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:09.084928Z

Source-reported events for the cited work

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Observation 1b006634-4d6e-4d48-9493-50b63c761dd7 · outbound

This paper cites SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning

Reference 16

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Source-reported events for the cited work

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Observation cdf56ab7-5479-448e-8915-d9f2f0a21bb0 · outbound

This paper cites Joint audio and speech understanding,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Joint audio and speech understanding,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:08.715779Z

Source-reported events for the cited work

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Observation 51b62e32-e945-4c14-b2b6-cb1845bf5548 · outbound

This paper cites Audiobench: A universal benchmark for audio large language models,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Audiobench: A universal benchmark for audio large language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:08.375935Z

Source-reported events for the cited work

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Observation 284eb8ae-8932-40b7-91df-fa2f241005f9 · outbound

This paper cites Dynamic-superb: Towards a dy- namic, collaborative, and comprehensive instruction-tuning benchmark for speech,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Dynamic-superb: Towards a dy- namic, collaborative, and comprehensive instruction-tuning benchmark for speech,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:08.072863Z

Source-reported events for the cited work

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Observation d038238a-12da-4994-a9e6-9e592a756ec2 · outbound

This paper cites AIR-Bench: Benchmarking large audio-language models via generative comprehension,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models AIR-Bench: Benchmarking large audio-language models via generative comprehension,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:07.775254Z

Source-reported events for the cited work

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Observation f66111f0-5d6c-4ac9-ba14-ec29dfebf371 · outbound

This paper cites Listen, think, and understand,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Listen, think, and understand,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:07.482732Z

Source-reported events for the cited work

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Observation 9f16ec29-7210-4b16-b1a6-a47cc5d313d9 · outbound

This paper cites MMAU: A massive multi-task audio understanding and reasoning benchmark,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models MMAU: A massive multi-task audio understanding and reasoning benchmark,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:07.156600Z

Source-reported events for the cited work

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Observation 33fb1d05-d676-4deb-aa92-c26ab73481ce · outbound

This paper cites Contextual paralinguistic data creation for multi-modal Speech-LLM: Data condensation and spoken QA generation,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Contextual paralinguistic data creation for multi-modal Speech-LLM: Data condensation and spoken QA generation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:06.815227Z

Source-reported events for the cited work

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Observation 1dafea79-6319-40c9-8757-d75adf8e29ef · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:06.538955Z

Source-reported events for the cited work

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Observation add265d2-c0c9-41b1-84ba-4cc16fbbbcf8 · outbound

This paper cites emotion2vec: Self-supervised pre-training for speech emotion representation,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models emotion2vec: Self-supervised pre-training for speech emotion representation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:06.201026Z

Source-reported events for the cited work

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Observation 1e1bcdfa-e379-4a72-b7ea-215da3a5e14d · outbound

This paper cites Dawn of the transformer era in speech emotion recognition: Closing the valence gap,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Dawn of the transformer era in speech emotion recognition: Closing the valence gap,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:05.918481Z

Source-reported events for the cited work

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Observation 4afd48f4-8dce-4d01-844d-81078dea12cf · outbound

This paper cites Whis- perX: Time-accurate speech transcription of long-form audio,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Whis- perX: Time-accurate speech transcription of long-form audio,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:05.565564Z

Source-reported events for the cited work

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Observation ee166452-0ddc-4232-907a-c0e509467641 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:05.239830Z

Source-reported events for the cited work

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Observation b3964042-d69d-4891-8c9f-0de663cf8d1a · outbound

This paper cites MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Models.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models MERaLiON-AudioLLM: Bridging Audio and Language with Large Language Models

Reference 29

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Source-reported events for the cited work

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Observation 86bc0bfb-bce2-4a74-a663-beb72b7a2b4a · outbound

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

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Robust speech recognition via large- scale weak supervision,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:04.928009Z

Source-reported events for the cited work

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Observation 7d080e31-18cc-48e8-8da7-b94a6389b350 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Gemma: Open Models Based on Gemini Research and Technology

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T22:19:02.331972Z

Source-reported events for the cited work

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Observation d0ce1fd1-838f-4d9e-8d6e-d592d06956e6 · outbound

This paper cites Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T22:19:02.450512Z

Source-reported events for the cited work

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Observation 3c5d796a-1369-4324-b30d-6519a858bcf1 · outbound

This paper cites Building the Singapore English national speech corpus,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Building the Singapore English national speech corpus,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:04.706734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91c7c5e1-003d-4014-8862-e8d6e77e61ec · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models Librispeech: An ASR corpus based on public domain audio books,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:04.426180Z

Source-reported events for the cited work

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Observation 3dfe46cb-0dd2-4c44-8e9f-04d47fd8a869 · outbound

This paper cites IEMOCAP: interactive emotional dyadic motion capture database,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models IEMOCAP: interactive emotional dyadic motion capture database,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:04.166254Z

Source-reported events for the cited work

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Observation a005d119-3757-45ff-81ab-c69bfe6c25ea · outbound

This paper cites V oxceleb: A large-scale speaker identification dataset,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models V oxceleb: A large-scale speaker identification dataset,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:03.907253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce965b70-3779-478a-972c-2ff491567a98 · outbound

This paper cites The MSP-Podcast corpus for speech emotion recognition,.

Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models The MSP-Podcast corpus for speech emotion recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:19:03.588814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.