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Paper Citation Record · LEDGER

Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.05401.

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

pith.paper-citation-record.v1
2406.05401 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:43:08.798686Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:25:28.014860Z

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 674f8a57-6c60-49c6-974d-a887ccba5baa · inbound

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis cites this paper.

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T16:43:08.798686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:43:08.798686Z digest=sha256:4821ddf3a326461f0fb07e6f17b09e14200d5109513722a11a0817250f688a7f

Observation 3e3a62d0-6f2a-47c5-a44b-15eb5ad24685 · inbound

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis cites this paper.

Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:28.021971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:27.899184Z digest=sha256:2ee5c3ea3ed772f9701bfb9d27f5e1db72f47b23a8d933fc4a0967588ee34855