Paper Citation Record · LEDGER

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue

As of 23 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2504.14482.

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

pith.paper-citation-record.v1
2504.14482 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:16.119395Z

measured 18 of 18 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 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

18 of 18 outbound references displayed

verified exact0
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23025637-b2e8-46b9-897d-722c79fa1631 · outbound

This paper cites Chatgpt-edss: Empathetic dialogue speech synthesis trained from chatgpt-derived context word embeddings,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Chatgpt-edss: Empathetic dialogue speech synthesis trained from chatgpt-derived context word embeddings,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.342219Z

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 ff0eb451-5926-4fd1-aa02-0abceeeaeb35 · outbound

This paper cites The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.331779Z

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 a9e57a09-d308-4b66-8c98-826ee22cbad3 · outbound

This paper cites WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:16.063059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0db38a81-6ab3-4599-9bf3-271a8ca01cf8 · outbound

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

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Dailytalk: Spoken dialogue dataset for conversational text-to-speech,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.320288Z

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 7573f7ce-cf10-4799-adb6-eb09a6b1bd78 · outbound

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

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue The fisher corpus: a resource for the next generations of speech-to-text,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.309519Z

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 46fcac79-c811-47f7-8aa0-85c9f5e7ab93 · outbound

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

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 52a88e97-08e5-4153-8603-d405db37e1ab · outbound

This paper cites Naturalspeech 2: Latent diffusion models are natural and zero- shot speech and singing synthesizers,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Naturalspeech 2: Latent diffusion models are natural and zero- shot speech and singing synthesizers,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.299320Z

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 681d596d-cff6-4974-9d13-ef9053b9a477 · outbound

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

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Dailydialog: A manually labelled multi-turn dialogue dataset,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.289089Z

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 02d54387-e4b2-40a6-9441-5c708751ba3c · outbound

This paper cites Anygpt: Unified multimodal LLM with discrete sequence modeling,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Anygpt: Unified multimodal LLM with discrete sequence modeling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.277111Z

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 e758b9a1-b503-4277-92dc-c12fdd1f5ecc · outbound

This paper cites Explain-analyze-generate: A sequential multi-agent collaboration method for complex reasoning,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Explain-analyze-generate: A sequential multi-agent collaboration method for complex reasoning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.266436Z

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 06cc2892-99aa-4e3a-8728-2e9b03a8b9fa · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Encouraging divergent thinking in large language models through multi-agent debate,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.255504Z

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 f27017aa-0351-4327-b699-6f82ccee1f02 · outbound

This paper cites Chateval: Towards better llm-based evaluators through multi-agent debate,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Chateval: Towards better llm-based evaluators through multi-agent debate,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.243546Z

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 16e21172-d7ba-4caf-9a18-ab61a0896eff · outbound

This paper cites Recon- cile: Round-table conference improves reasoning via consensus among diverse llms,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Recon- cile: Round-table conference improves reasoning via consensus among diverse llms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.232292Z

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 753fcd7d-13dd-4126-bcb6-be9b6b69ec78 · outbound

This paper cites Speechagents: Human-communication simulation with multi-modal multi-agent systems,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Speechagents: Human-communication simulation with multi-modal multi-agent systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.219422Z

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 91708e35-a769-4885-94a9-075393c1de53 · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Common voice: A massively-multilingual speech corpus,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.207418Z

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 1196a7a2-43ea-455d-8b40-2b5f0c216b9c · outbound

This paper cites UTMOS: utokyo-sarulab system for voicemos challenge 2022,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue UTMOS: utokyo-sarulab system for voicemos challenge 2022,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.195808Z

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 d7e69188-32b5-44c1-a05e-3cbe0563a3d8 · outbound

This paper cites Natural TTS synthesis by conditioning wavenet on MEL spectro- gram predictions,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Natural TTS synthesis by conditioning wavenet on MEL spectro- gram predictions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.183976Z

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 801bf84c-f2ed-4ef9-bc61-0cdda20c687b · outbound

This paper cites Fastspeech 2: Fast and high-quality end-to-end text to speech,.

DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue Fastspeech 2: Fast and high-quality end-to-end text to speech,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:16.172012Z

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.

Pith citing papers

No inbound Pith citation observations are available.