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Paper Citation Record · LEDGER

Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.14717.

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

pith.paper-citation-record.v1
2401.14717 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 2026-08-15T20:34:14.385378Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:22:18.625438Z

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 5ee3bb03-3598-4de2-b895-bbd146171964 · 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 Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:34:14.385378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:34:14.385378Z digest=sha256:39654c612a068d1f8d0914e8ec303d564a469e5ce8e7340890d09326039ad901

Observation 365e75d5-2a22-4418-ba43-7a00be30e260 · inbound

Improving endpoint detection in end-to-end streaming ASR for conversational speech cites this paper.

Improving endpoint detection in end-to-end streaming ASR for conversational speech Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:22:18.632786Z

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=pdf_text observed=2026-08-15T20:22:18.565258Z digest=sha256:71ad5ad483f8c77c8526f288d7d7e308b31accf9a04a8d8786e1b806260ac176