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Paper Citation Record · LEDGER

How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.05161.

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

pith.paper-citation-record.v1
2209.05161 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:14.270144Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:27:45.818671Z

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 79cdeb04-0309-497a-9002-27e1a8c88aba · inbound

Real-Time Textless Dialogue Generation cites this paper.

Real-Time Textless Dialogue Generation How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:27:45.824949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T21:27:45.543343Z digest=sha256:0ed9dc6bb23f22f6cce28d103e4a607be03438394405c18dd8d82e8276eaba2e

Observation 4224da80-59ab-4f07-bf6c-cf1b48698908 · inbound

Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals cites this paper.

Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:34:14.270144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:34:14.270144Z digest=sha256:e179947e9359aea8231390b119690a2ea480ffff41d86645eb6e6dad79d3a147