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Paper Citation Record · LEDGER

Dual Information Speech Language Models for Emotional Conversations

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:21.710941Z digest=sha256:ab2cc6dc31d8fede2172b0936bf7634efed159421e38a62aeb7af93faf22ddb7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:21.812884Z digest=sha256:efe83c5192d94ab1c8ba15d986c198f0763422a08eaf1b3ae1e9c783defd6029

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:21.891427Z digest=sha256:c61beb4c16cb7decf81b62218db6bdedc66fc859de857da1c5e6ea9efe1cfa5a

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.

source=pdf_text observed=2026-08-05T21:45:21.987977Z digest=sha256:be67a8e59d8719ca59412cb675e3633d71a50987504e48314c7f4f465f96b242

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:22.097811Z digest=sha256:97a5fc691f9798d4a1435963efbc4f33db6994f9b89555a3f70f657fc589449a

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:ca03107ed0e20ab58200f6c11004fc9c7b96f3296099738c3266b6a2219afd56

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:22.247832Z digest=sha256:2a6990751f5c8c4dca7f61d982d9ac9ec364e9e7d67cbb1119f8117c66305bf7

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=sha256:7b77f36be97e312678c56f378e2526d44c66f21f91a327c830a45fe8ce36f831

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=sha256:4bc9df1afaf3a17a392202bf416a04ef783070921a8cbf2680cd730be4f4c9bd

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:22.613988Z digest=sha256:af8a8a433fa7f0dcaa0e315eaa28f7495bc70791b999d9f5c728c763e246ae9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:22.693144Z digest=sha256:c39d69a765df5fc0c5ce81413e788a8ced35591d04e61172db89fcb89360382f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:22.786563Z digest=sha256:af2744165c3906f5830449dddb954758036ce643cb016c02b21f5481b715cbc1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:22.897147Z digest=sha256:3153660e5d99d4fc99ff080371f5bbc71edb59744da6218da152a592646ac1ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:22.953545Z digest=sha256:30ec496b582fe0437de5436f041d6196faab693691c3fc01a92b88a2978660ed

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=sha256:7e3614a133acc91ea1840126bea7574203036a3eb20631f098b96c07f49b702d

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.165427Z digest=sha256:d87a1e7356904b7b1316893a04ed74980bb69da20c4945934c06d4f2ee3e699f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.275885Z digest=sha256:ea93a5a10309f57395235cc3a3e1d2a8046645dd6ddee6561504c9798b08b852

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.410486Z digest=sha256:81588c47425404ac0433e4df5683bfbacbe5f528f0dfb37d9ffe4004606acd67

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.503271Z digest=sha256:1b2d4747a4087d3787a9bf3cd3090edf1d9f3a2976a22f8765c9bde4dd2389c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.581006Z digest=sha256:cff8f98659e2f7366276f85f6176b44a1fe9169c9a21cac5ff5300734581765e

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.695583Z digest=sha256:ee4669d65d44aba1a0405be2a0fc555f806365e2aea6fed3b6a4685c8b5134f1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.771930Z digest=sha256:3e6fe5b8dc536665582f9fc69c90bffc8fb1e6b23cfeb10327152b3158b708fc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:23.839897Z digest=sha256:71a90033738f4712d509ceef5f9a0584d4cf32ea07ec75aa25af2a35520b72ad

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:23.907075Z digest=sha256:27e33227e329c26a0db609e279a28e0f5488f0e9ceb9834a116109080d968a39

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:23.985849Z digest=sha256:639f034215e847f11b6c8f8718ae3c6916fb311402d5696d6f05ed3864a6eaaa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:24.080046Z digest=sha256:cb6d462f1ca45ce4ce23a5cf33adeddec9c144fd44c7c166a888548c1cff29f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:24.159674Z digest=sha256:3265f44113f833c2d0b67b9f1aaf12af2b8c3e49e4a6a969fb919a75d6b71137

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:b08b8588e637fcb9191c1b04119d8b973986bfd8366346f9c134593b5f4151d6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:24.367371Z digest=sha256:37dd51d189bf70f7a3a8be8891b9e734dc1f7ac51e801d619c86ee82396a0c97

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:45:24.447487Z digest=sha256:f765a98efceaaf61fd4b3ad4b47f9a77e4db6cf287b45a0917b32f1b497cc037

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T21:45:24.518469Z digest=sha256:d64c0a0bee749255c7887b772bf7527aec21e745e55aa4f2590a0c98f000c42d

Pith citing papers

No inbound Pith citation observations are available.