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Paper Citation Record · LEDGER

Dual Information Speech Language Models for Emotional Conversations

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.08095.

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

pith.paper-citation-record.v1
2508.08095 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:45:24.518469Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 023b16f8-f232-4b6d-ac52-531636f62c4d · outbound

This paper cites Towards emotional support dialog systems,.

Dual Information Speech Language Models for Emotional Conversations Towards emotional support dialog systems,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:27.983267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2fd5faf8-77f0-42b6-8ed4-1c4347e2aeef · outbound

This paper cites Advancing large language models to capture varied speaking styles and respond properly in spoken conversations,.

Dual Information Speech Language Models for Emotional Conversations Advancing large language models to capture varied speaking styles and respond properly in spoken conversations,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T21:45:27.811857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:21.812884Z digest=sha256:078312bf991e85f5febcfb9a5172a5347a5a15c3ed2db7595f3c5aac39596884

Observation 29000374-5301-4476-85e3-3b00a296f15a · outbound

This paper cites Paralinguistics-enhanced large language modeling of spoken dialogue,.

Dual Information Speech Language Models for Emotional Conversations Paralinguistics-enhanced large language modeling of spoken dialogue,

Reference 3

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raw_fallback, observed 2026-08-05T21:45:27.610817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f70ed20d-683a-4069-ad05-ac7c5be8df1e · outbound

This paper cites E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models.

Dual Information Speech Language Models for Emotional Conversations E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models

Reference 4

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no resolver link, observed 2026-08-05T21:45:21.987977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation badd5617-2e54-4ac5-8af2-03674bf846a1 · outbound

This paper cites BLSP-Emo: Towards Empathetic Large Speech-Language Models.

Dual Information Speech Language Models for Emotional Conversations BLSP-Emo: Towards Empathetic Large Speech-Language Models

Reference 5

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no resolver link, observed 2026-08-05T21:45:22.097811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:22.097811Z digest=sha256:9a0bc327af32613ee379e5178bb954cb21e155976e9cc5956f3df06fa3abcf0b

Observation 74403b0a-948f-405d-9850-ed7df164adbb · outbound

This paper cites WavChat: A Survey of Spoken Dialogue Models.

Dual Information Speech Language Models for Emotional Conversations WavChat: A Survey of Spoken Dialogue Models

Reference 6

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no resolver link, observed 2026-08-05T21:45:22.176873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:22.176873Z digest=sha256:1ed9bc0301b9cad48aff6397f718115722436c86110affc57bb0b2c9b90fdf93

Observation c9d2b378-e387-440f-bf8f-d280dfba3e0d · outbound

This paper cites Connecting speech encoder and large language model for asr,.

Dual Information Speech Language Models for Emotional Conversations Connecting speech encoder and large language model for asr,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:27.433636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:22.247832Z digest=sha256:02e4ae7cf4fa0bc5a05d02e31101fd63bad6a7c05d744be738d86869685aa580

Observation d2ab4cb9-f143-45b2-9f74-ba441f2be27a · outbound

This paper cites An Embarrassingly Simple Approach for LLM with Strong ASR Capacity.

Dual Information Speech Language Models for Emotional Conversations An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 8

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no resolver link, observed 2026-08-05T21:45:22.388008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:22.388008Z digest=sha256:fc100c203bcecc3c381c351c5e2bd82a0c6daf33dc422f2919fbf9b42e6d8ff9

Observation 9d916934-dc42-40b7-8b6b-61e984cb33b0 · outbound

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

Dual Information Speech Language Models for Emotional Conversations Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech

Reference 9

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no resolver link, observed 2026-08-05T21:45:22.464344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:22.464344Z digest=sha256:705ca4dc44be5dfbb0df7f6d8be42216a58bb549ed9cf03528a72e613c1450e4

Observation 5d0c1c21-a44d-4cc3-a0a5-e04b35f2d39a · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

Dual Information Speech Language Models for Emotional Conversations Prefix-tuning: Optimizing continuous prompts for generation,

Reference 10

Resolution
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raw_fallback, observed 2026-08-05T21:45:27.247680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:22.613988Z digest=sha256:fc9c47fe6741db2ceb49eb74ea1fae2b610f1a42af630b9d501f7fada2b0778d

Observation 39842294-ec26-4b48-8cdf-8fabd6c0fd86 · outbound

This paper cites AudioChatLlama: Towards general-purpose speech abilities for LLMs,.

Dual Information Speech Language Models for Emotional Conversations AudioChatLlama: Towards general-purpose speech abilities for LLMs,

Reference 11

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raw_fallback, observed 2026-08-05T21:45:27.053593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:22.693144Z digest=sha256:38a9a53755f0c159cdf61238f589318003252786fe0cbaeda912edf19aac7c86

Observation 246a53c1-09e4-4d34-81bb-321ee383cd53 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Dual Information Speech Language Models for Emotional Conversations P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 12

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source=pdf_text observed=2026-08-05T21:45:22.786563Z digest=sha256:ae1487618544dbffe6ed0f6d7c766bd9f090be518605d5eb7f2a1168972382e8

Observation 306c0a74-e426-4272-bc5d-06735aedee23 · outbound

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

Dual Information Speech Language Models for Emotional Conversations Secap: Speech emotion captioning with large language model,

Reference 13

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raw_fallback, observed 2026-08-05T21:45:26.886740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 568692f7-dfc3-4e27-bbe4-b75835cd4477 · outbound

This paper cites Stylecap: Automatic speaking-style captioning from speech based on speech and language self-supervised learning models,.

Dual Information Speech Language Models for Emotional Conversations Stylecap: Automatic speaking-style captioning from speech based on speech and language self-supervised learning models,

Reference 14

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raw_fallback, observed 2026-08-05T21:45:26.754260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:22.953545Z digest=sha256:95a6750f2f38be1ff52f5d5afe1dfaeafe24ecdd7b06a828cae937b04b05448f

Observation 793548fc-4a4c-4de7-adc4-683ce4ac6629 · outbound

This paper cites Qwen2-Audio Technical Report.

Dual Information Speech Language Models for Emotional Conversations Qwen2-Audio Technical Report

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:23.049151Z digest=sha256:44e074fd71baa74bbf06b702173dc5c9e2b7eba00109e8887cbdcce8d678b9ed

Observation 4d2b4f50-cebe-4ba4-bbab-19f35d7cb3da · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

Dual Information Speech Language Models for Emotional Conversations The power of scale for parameter-efficient prompt tuning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:26.587093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.165427Z digest=sha256:649d88aa110d3a1784a09fef64f578ce03e9eca70013166fea0d4f41e14d9568

Observation 24400545-1282-4060-8997-d2d214ffb384 · outbound

This paper cites Multitask prompt tuning enables parameter-efficient transfer learning,.

Dual Information Speech Language Models for Emotional Conversations Multitask prompt tuning enables parameter-efficient transfer learning,

Reference 17

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raw_fallback, observed 2026-08-05T21:45:26.462844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.275885Z digest=sha256:f58b7448ac243727de0e9d54c4b3a5f9adee01da60a43bf9ba3651e693ec9604

Observation 85ab5a0e-da1e-4863-ad51-c46e1ef307ec · outbound

This paper cites Factor-conditioned speaking-style captioning,.

Dual Information Speech Language Models for Emotional Conversations Factor-conditioned speaking-style captioning,

Reference 18

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raw_fallback, observed 2026-08-05T21:45:26.321953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.410486Z digest=sha256:b2a948e062a28d00bd48ae4fbfc12b7b0b0219819e302999dee7195956047717

Observation 96c53e59-f4c2-476b-9bf5-9215af47b2d4 · outbound

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

Dual Information Speech Language Models for Emotional Conversations Developing instruction-following speech language model without speech instruction-tuning data,

Reference 19

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raw_fallback, observed 2026-08-05T21:45:26.159406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.503271Z digest=sha256:4b40aee2df7b44068491a7e2afff4758a91c3924e7e4100261abf6805ab40673

Observation 792d39f8-481b-4be4-b504-921685e13154 · outbound

This paper cites Textrolspeech: A text style control speech corpus with codec language text-to-speech models,.

Dual Information Speech Language Models for Emotional Conversations Textrolspeech: A text style control speech corpus with codec language text-to-speech models,

Reference 20

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raw_fallback, observed 2026-08-05T21:45:25.993215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.581006Z digest=sha256:0bb084d7c10ffa75efbb8b95ec171a9e425a301ea3c052c50f1992ce6724733b

Observation b1b77b22-0a61-443a-86fe-d66d95a2aff7 · outbound

This paper cites MELD: A multimodal multi-party dataset for emotion recognition in conversations,.

Dual Information Speech Language Models for Emotional Conversations MELD: A multimodal multi-party dataset for emotion recognition in conversations,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:25.831124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.695583Z digest=sha256:f99c9de6c1b14284de12c1bfbca884ac1d8f58031d7ce77d3f9d7d12d04e1b79

Observation 58755def-fe82-4cd1-8e3a-6cf3c55178e0 · outbound

This paper cites Dailytalk: Spoken dialogue dataset for conversational text-to-speech,.

Dual Information Speech Language Models for Emotional Conversations Dailytalk: Spoken dialogue dataset for conversational text-to-speech,

Reference 22

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raw_fallback, observed 2026-08-05T21:45:25.642640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.771930Z digest=sha256:a83f5be02bfb35a35e33b3050ed3eecfa1e77c8051a4b4ffe8c716108836b22a

Observation c7f7120f-e0e7-4d47-8b88-15967f768e76 · outbound

This paper cites DailyDialog: A manually labelled multi-turn dialogue dataset,.

Dual Information Speech Language Models for Emotional Conversations DailyDialog: A manually labelled multi-turn dialogue dataset,

Reference 23

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raw_fallback, observed 2026-08-05T21:45:25.465767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:23.839897Z digest=sha256:6ed8768c221277747c1b79ddfcc97a8bc63457484e7a0798fc531caa7912766e

Observation 60e45a49-bb4c-47c9-8812-24061e498963 · outbound

This paper cites LLaMA-Omni: Seamless Speech Interaction with Large Language Models.

Dual Information Speech Language Models for Emotional Conversations LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Reference 24

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no resolver link, observed 2026-08-05T21:45:23.907075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:23.907075Z digest=sha256:769837001fc02ec95cd6860cf07131068b52c8323eaefe02d524fbdf40338f69

Observation 4a0e96f7-a40c-4f96-8799-3a84dff6ff16 · outbound

This paper cites Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought.

Dual Information Speech Language Models for Emotional Conversations Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought

Reference 25

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no resolver link, observed 2026-08-05T21:45:23.985849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:23.985849Z digest=sha256:4be6bf2355f26760e17fcbce99256cd3fd2c55f45f5ec868ba23aac3ed58fb61

Observation d5f62a89-62e8-4483-8378-ed1b28e34d37 · outbound

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

Dual Information Speech Language Models for Emotional Conversations Robust speech recognition via large-scale weak supervision,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:25.302036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:24.080046Z digest=sha256:217ee359d79b7ea04ebc0c579e01329af91970249319361be4ae9209c688cbd9

Observation 00ad5a76-e8d1-46c8-be3b-6931aa7534a1 · outbound

This paper cites Qwen2.5: A party of foundation models,.

Dual Information Speech Language Models for Emotional Conversations Qwen2.5: A party of foundation models,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:25.140468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:24.159674Z digest=sha256:4350323255d4488f7a87b07a5c69c90046228ce356e2dbda61f6aad1771fe7ae

Observation d8edb898-90d4-4542-a7b3-47ce4f314b6d · outbound

This paper cites The Llama 3 Herd of Models.

Dual Information Speech Language Models for Emotional Conversations The Llama 3 Herd of Models

Reference 28

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no resolver link, observed 2026-08-05T21:45:24.267806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:24.267806Z digest=sha256:003b357d3c124e1afe31f85920dde6ef8c464b8f966cfd4159db998c61d81a5c

Observation 2fa7f6e5-f4eb-4bef-a256-8e1a53b5d506 · outbound

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

Dual Information Speech Language Models for Emotional Conversations emotion2vec: Self-supervised pre-training for speech emotion representation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:24.959395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:24.367371Z digest=sha256:1e9e577aa47e8ea2520c6c9dcd70ebacea56590a115cdc28fbe572c06afe86af

Observation 0fef669a-c530-4ed1-be1b-4252f2184801 · outbound

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

Dual Information Speech Language Models for Emotional Conversations Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 30

Resolution
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no resolver link, observed 2026-08-05T21:45:24.447487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:24.447487Z digest=sha256:ed21d21b970cf4addb5451925e0a1f9ad8cea7a6794003d28baddecfc2dc0ca1

Observation 6fb68982-cf30-4234-a071-0e15d3246bf2 · outbound

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

Dual Information Speech Language Models for Emotional Conversations SALMONN: Towards generic hearing abilities for large language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:45:24.772470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T21:45:24.518469Z digest=sha256:4601825f5811ef685d6dc3f1f3778afb3c622fce595e5641f14aa8bbf90358e9

Pith citing papers

No inbound Pith citation observations are available.