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Paper Citation Record · LEDGER

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2501.00805.

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

pith.paper-citation-record.v1
2501.00805 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:45:45.876390Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:28:53.542723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:32:03.639643Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1f13b47-4266-4b13-a672-b7e0e900163a · outbound

This paper cites Generative spoken dialogue language modeling,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Generative spoken dialogue language modeling,

Reference 1

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Source-reported events for the cited work

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Observation e90331e2-b278-4970-a764-49d840f4a831 · outbound

This paper cites Audi- olm: a language modeling approach to audio generation,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Audi- olm: a language modeling approach to audio generation,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation acd24cf1-1811-4016-bba1-ac85bbff0373 · outbound

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

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 3

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Observation 201c3ad0-9b03-45eb-8bd1-e1e7b63e572d · outbound

This paper cites Recent advances in deep learning based dialogue systems: A systematic survey,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Recent advances in deep learning based dialogue systems: A systematic survey,

Reference 4

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Unavailable: canonical work link unavailable.

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Observation c84f050a-679c-4bcc-af45-b4aa5639eded · outbound

This paper cites On temporal aspects of turn taking in conversational dialogues,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation On temporal aspects of turn taking in conversational dialogues,

Reference 5

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Source-reported events for the cited work

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Observation 21c358df-fe1a-4d25-824e-6247b26cc346 · outbound

This paper cites Pauses, gaps and overlaps in conversations,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Pauses, gaps and overlaps in conversations,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 11429796-fa42-4df1-82f7-533cbc482687 · outbound

This paper cites Conversational short-phrase speaker diarization via self-adjusting speech segmentation and embedding ex- traction,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Conversational short-phrase speaker diarization via self-adjusting speech segmentation and embedding ex- traction,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 164d34c5-ad3d-42a5-acab-ad72d66fd1c2 · outbound

This paper cites Improving spoken question answering using contex- tualized word representation,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Improving spoken question answering using contex- tualized word representation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9e29aa47-60df-43fd-9411-d16ad58fbb97 · outbound

This paper cites Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Compre- hension Test by Machine,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Compre- hension Test by Machine,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 274817dc-4519-47b6-af30-8f395b22c2e9 · outbound

This paper cites Unsupervised domain adaptation on end-to-end multi-talker overlapped speech recognition,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Unsupervised domain adaptation on end-to-end multi-talker overlapped speech recognition,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e57ab63f-7f48-447b-a47b-494ee226a9c6 · outbound

This paper cites Ada and grace: Direct interaction with museum visitors,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Ada and grace: Direct interaction with museum visitors,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9bcdade7-744e-4a57-8126-3d7d7481778a · outbound

This paper cites Turn-taking in conversational systems and human-robot interaction: A review,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Turn-taking in conversational systems and human-robot interaction: A review,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d67d6f99-992b-4725-a2c2-4ac3f8b982d7 · outbound

This paper cites Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Can a robot laugh with you?: Shared laughter generation for empathetic spoken dialogue,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7c2fe453-018e-4522-a8ae-666394fcce7d · outbound

This paper cites On gener- ative spoken language modeling from raw audio,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation On gener- ative spoken language modeling from raw audio,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6956d664-a7a5-4bbc-881d-7bf63c664fe4 · outbound

This paper cites CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations

Reference 15

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Observation 693c18de-3e3f-49ca-bd38-1c3933efa3dd · outbound

This paper cites Towards human-like spoken dialogue generation between AI agents from written dialogue.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Towards human-like spoken dialogue generation between AI agents from written dialogue

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 8771c1af-5131-4bcd-8e5e-d16ec87820db · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 2c35f0b9-6185-4317-a8ba-7cf5d52b2856 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d4432d16-84d4-4885-b814-d4d215301349 · outbound

This paper cites Asq: An ultra-low bit rate asr-oriented speech quantization method,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Asq: An ultra-low bit rate asr-oriented speech quantization method,

Reference 19

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Observation 525c54f2-c31a-49b8-a7e6-ee176b0879cd · outbound

This paper cites Self-supervised pre- training for attention-based encoder-decoder asr model,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Self-supervised pre- training for attention-based encoder-decoder asr model,

Reference 20

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Source-reported events for the cited work

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Observation e39b22d4-a555-4164-9233-9a0dad8387f9 · outbound

This paper cites Attention is all you need,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Attention is all you need,

Reference 21

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Observation 0c116020-6a96-4fef-9b11-db530a13886a · outbound

This paper cites Speech Resynthesis from Discrete Disentangled Self-Supervised Representations,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Speech Resynthesis from Discrete Disentangled Self-Supervised Representations,

Reference 22

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Source-reported events for the cited work

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Observation 0c46f2c8-a693-492d-a601-41ab705d5429 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5cfbc1d0-2916-46a0-a086-97fbaa7d6201 · outbound

This paper cites Audioldm 2: Learning holistic audio generation with self-supervised pretraining,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Audioldm 2: Learning holistic audio generation with self-supervised pretraining,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 296a36ba-acff-4f73-9302-aa3e644f23c7 · outbound

This paper cites Exploring speech recognition, translation, and understanding with discrete speech units: A compar- ative study,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Exploring speech recognition, translation, and understanding with discrete speech units: A compar- ative study,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c0fdd959-96bf-4f28-b536-3cb486d317f8 · outbound

This paper cites The fisher corpus: A resource for the next generations of speech-to-text.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation The fisher corpus: A resource for the next generations of speech-to-text

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e8b9763d-5e98-4bae-aa94-df9cd64aa802 · outbound

This paper cites Torchaudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for pytorch,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Torchaudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for pytorch,

Reference 27

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raw_fallback, observed 2026-08-10T22:45:46.092773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6d7b7f74-e19c-4e79-ac74-da75cdb3eeda · outbound

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

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Robust speech recognition via large-scale weak supervi- sion,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7825b56-12e1-401c-9f1b-5c8c8155044a · outbound

This paper cites GPT-4 Technical Report.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation GPT-4 Technical Report

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db416ff3-16a0-4d68-b017-fbe7f120d87a · outbound

This paper cites Park and J.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Park and J

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de0c52ae-1e58-4bc2-90f9-150170ce3067 · outbound

This paper cites Montreal forced aligner: Trainable text-speech alignment using kaldi.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Montreal forced aligner: Trainable text-speech alignment using kaldi

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:45:46.052561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 433cf986-2a44-4312-8716-9d4b95b1cda9 · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:45:46.035864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6dba7d08-9e29-46ad-a501-c2d0ccb2defb · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe,

Reference 33

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raw_fallback, observed 2026-08-10T22:45:46.018113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 66aa7c8c-3258-4548-b179-a856b212f780 · outbound

This paper cites Dialogpt: Large-scale generative pre-training for conversational response generation,.

SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation Dialogpt: Large-scale generative pre-training for conversational response generation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:45:45.993518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T22:45:45.876390Z digest=sha256:f033116f46a7893cdc7b700997b425b65a5d73e9b7a84f0c0109b6e1773067c7

Pith citing papers

Observation 497f7294-6426-4c88-8ee4-a722d4b124f6 · inbound

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

Breaking the Barriers of Text-Hungry and Audio-Deficient AI SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:53.542723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:28:53.542723Z digest=sha256:0aaf8ffef2cf5b18db41a191e5387cd855c81300f6c6d40d10fbe1d72f90d0be

Observation 7bd9e1fe-4305-4104-9a73-1fdd6317cf05 · inbound

ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching cites this paper.

ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:32:03.641862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T04:29:41.285194Z digest=sha256:c58d03f7a7c485b6380ec34641ea3f3534c2cbc4473e222496ec87e3ef98f01d