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Paper Citation Record · LEDGER

Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.09524.

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

pith.paper-citation-record.v1
2410.09524 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:54:32.910025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:13:52.960187Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation efeb0981-086e-489c-959d-87b30bb53901 · inbound

Improving French Synthetic Speech Quality via SSML Prosody Control cites this paper.

Improving French Synthetic Speech Quality via SSML Prosody Control Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T16:54:32.910025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:54:32.910025Z digest=sha256:5b233432c4d7e06e5b6b17edaaa74d5d26245019f770266efc38d478d98cf05b

Observation f7e8b0c6-8f00-411d-b483-646f1b423a40 · inbound

Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis cites this paper.

Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T04:33:41.756556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:33:41.756556Z digest=sha256:750d5a1095c879002d7b1ba04117b93cf0fb612acf525a716f56cc962cebe582

Observation fc76ea66-95ea-4a96-aeb0-c51490467d3f · inbound

Do Speech Emphasis Models Generalize across Languages and Emotions? cites this paper.

Do Speech Emphasis Models Generalize across Languages and Emotions? Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:52.961834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:53:20.354478Z digest=sha256:75a579a56de5d2b253d49b94f080b40c4649b6550e81e3948cad0fbc054688a4

Observation 07b0fa7c-55c9-4c02-a70c-5f8db7c58ad0 · inbound

AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis cites this paper.

AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T22:28:19.474750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:28:19.474750Z digest=sha256:e3d6609426567d6021c45fa899723930b597415dc8d908053fde7b8b98138b55

Observation f4ce2ccb-f563-4e8b-a927-64e26552e71a · inbound

AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis cites this paper.

AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis Emphasis Rendering for Conversational Text-to-Speech with Multi-modal Multi-scale Context Modeling

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T01:58:24.594826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:58:24.594826Z digest=sha256:c48d647d275c35e7c85984a25de0547dfed9b509ad5210717123f72c305ef8c2