Paper Citation Record · LEDGER

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data

As of 24 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 4 inbound Pith citation observations for arXiv:2412.01078.

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

pith.paper-citation-record.v1
2412.01078 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:46:16.782429Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:16.074875Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:24:03.552101Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b052b07-b8ff-4569-8727-922ce7be9484 · outbound

This paper cites this" or.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data this" or

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:16.985455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a01eef5-f9ec-4282-b3cf-a5c3ccfe2db8 · outbound

This paper cites Qwen2-Audio Technical Report.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Qwen2-Audio Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:16.729612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91cf2943-42c7-470c-a3dc-3a76cd0cb803 · outbound

This paper cites an unresolved cited work.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:46:16.953950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27835fd9-0449-4821-bda1-84734b888dcf · outbound

This paper cites Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:16.739240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83205df4-17bf-443e-9a74-7d2871d0382f · outbound

This paper cites MLS: A Large-Scale Multilingual Dataset for Speech Research.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data MLS: A Large-Scale Multilingual Dataset for Speech Research

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:16.744798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aaaaffc-32d2-4273-977e-4108622727d1 · outbound

This paper cites Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:16.749983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5efdad44-6388-4046-acd6-3c62a542dd26 · outbound

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

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:16.755242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36698443-574c-4354-b9f7-88641718841d · outbound

This paper cites an unresolved cited work.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:46:16.968375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1fdf82f8-b84e-45c2-a7b1-230f50630767 · outbound

This paper cites an unresolved cited work.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:46:16.939317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d0fc32ca-08c7-43ad-97a6-c069c226c1a3 · outbound

This paper cites an unresolved cited work.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:46:16.924599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56bdf33f-6dbe-4b09-91c6-31a3af7406b5 · outbound

This paper cites is_suitable_for_speech.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data is_suitable_for_speech

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:16.909892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88578298-d84e-4d76-9086-eb5c3100786c · outbound

This paper cites In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Pro- cessing (ICASSP), pages 6968–6972.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Pro- cessing (ICASSP), pages 6968–6972

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:46:17.001536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e5744f6-03e9-4d65-8dd9-c5a8f5045879 · outbound

This paper cites VoiceBench: Benchmarking LLM-Based Voice Assistants.

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data VoiceBench: Benchmarking LLM-Based Voice Assistants

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:16.724250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 46fcac79-c811-47f7-8aa0-85c9f5e7ab93 · inbound

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue cites this paper.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:16.074875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e3da9f-8225-4c8d-bd59-84db56e65a27 · inbound

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation cites this paper.

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:01:07.569586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8ff0edb-4d33-4701-92c7-17ec5418c873 · inbound

Voice "Cloning" is Style Transfer cites this paper.

Voice "Cloning" is Style Transfer Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:02:47.145012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a54bac18-3bdd-4ef9-9df4-cdabaf8bb88b · inbound

Voice "Cloning" is Style Transfer cites this paper.

Voice "Cloning" is Style Transfer Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:24:03.553542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.