Paper Citation Record · LEDGER

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 5 inbound Pith citation observations for arXiv:2501.01384.

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

pith.paper-citation-record.v1
2501.01384 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:05.104984Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T23:17:03.456746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:17:28.830734Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy8
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f033cc8-adac-4012-aae0-4cf27578d44c · outbound

This paper cites SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.897175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6982a2-999e-4f38-8807-0b918d657330 · outbound

This paper cites Qwen2-Audio Technical Report.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Qwen2-Audio Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.927050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac489d20-9269-4d47-9b1f-015ee9aef61b · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios WavChat: A Survey of Spoken Dialogue Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.952630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea48f33-c7b0-4afa-98f3-7c95a493b137 · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Dailytalk: Spoken dialogue dataset for conversational text-to-speech

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.788900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1bda65c-69da-42a3-9bee-ba9a7428ecda · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.980466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab6075e-e96e-4126-8053-974c7a93de7b · outbound

This paper cites emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.987198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9a3be0-a176-45b5-bda9-b2bdf0e8327e · outbound

This paper cites EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.997721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe84b7f-9da2-47d1-bc17-7dabddfe33cb · outbound

This paper cites MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.020670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9671ed34-5a79-4e7e-bbbb-c4cda352f985 · outbound

This paper cites A neural network approach to context- sensitive generation of conversational responses.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios A neural network approach to context- sensitive generation of conversational responses

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.692164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ad2cbf5-6b74-41b7-9b27-00e041e858cf · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.053591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88a7abdf-79f4-43e8-81b2-56563feb7325 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.059346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5841562-877b-45c3-bd93-eb0892b3e020 · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.068528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43f5829-5526-46f4-9607-2323038d955b · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios AIR-bench: Benchmarking large audio-language models via generative comprehension

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.661560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adc1fbc1-a86d-44fb-aee8-b0fc8579a74b · outbound

This paper cites URL https://aclanthology.org/2024.acl-long.109.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios URL https://aclanthology.org/2024.acl-long.109

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.634168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01ab8409-5a99-4ad8-afe2-e538f4505f41 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios BERTScore: Evaluating Text Generation with BERT

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.104984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877814fe-560f-402c-b46d-27869174b329 · outbound

This paper cites The cocktail fork problem: Three-stem audio separation for real-world soundtracks.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios The cocktail fork problem: Three-stem audio separation for real-world soundtracks

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.769732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dc1f954-88bb-4038-835a-2cee7b608670 · outbound

This paper cites CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.935843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a13339-d729-401b-a598-487c74ecd778 · outbound

This paper cites EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.906306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7903c7-8257-44d3-9781-757f4e9e1fec · outbound

This paper cites Audiocaps: Generating captions for audios in the wild.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Audiocaps: Generating captions for audios in the wild

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.808751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d88343bf-aec6-4c1d-8fe9-89664e868fb1 · outbound

This paper cites FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.045777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b5d209-1f93-46e1-82d0-411060b47e74 · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:05.095673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbdf322f-519a-4dba-b972-20fc0eb0faa9 · outbound

This paper cites End-to-end task-oriented dialogue: A survey of tasks, methods, and future directions.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios End-to-end task-oriented dialogue: A survey of tasks, methods, and future directions

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.713573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9183a36-597e-44dd-b039-53690bfd8af4 · outbound

This paper cites Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.966190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b7864c-4b9e-420f-8ed2-081b2ee94f50 · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diariza- tion.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Powerset multi-class cross entropy loss for neural speaker diariza- tion

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:05.744280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 988a7467-632c-4296-85ca-059b6b981f90 · outbound

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

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.916461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f15a96-f792-494b-9a28-65498dc40a30 · outbound

This paper cites The Llama 3 Herd of Models.

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.944578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 98d0d316-9867-42b6-906e-0f4a5197af4f · inbound

DiscussLLM: Teaching Large Language Models When to Speak cites this paper.

DiscussLLM: Teaching Large Language Models When to Speak OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:10:42.302323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 591a55c2-6b29-4495-81f7-6d9c3820f334 · inbound

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs cites this paper.

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:45:45.501676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34137ee2-642b-454d-b847-092e5d8a2f04 · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.001064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 166861d5-7603-435a-95a3-54759ec464b2 · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:17:28.832711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 719381de-8387-42fb-8ead-4d789199210c · inbound

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems cites this paper.

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:16:53.731741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.