Pith. sign in

Paper Citation Record · LEDGER

Voice Activity Detection (VAD) in Noisy Environments

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.05815.

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

pith.paper-citation-record.v1
2312.05815 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:49:42.798923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:07:39.516042Z

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 3d98060d-e406-4277-9ed6-c2cd0d7ffbe0 · inbound

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization cites this paper.

SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Voice Activity Detection (VAD) in Noisy Environments

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:42.798923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:49:42.798923Z digest=sha256:c1fae63ce74059b3e82c7315a47c8e293400f323a84bdd6947c604723a395c27

Observation ab768946-d894-494f-a3bd-edcc98bfed03 · inbound

Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection cites this paper.

Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection Voice Activity Detection (VAD) in Noisy Environments

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:01.088279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T18:58:31.318883Z digest=sha256:b47c656821a6d435e0cc622954f78007b47e371276ad587ae1105128fc35ab4b

Observation 3510a592-298a-4e4e-8a67-cc90e78e970b · inbound

Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering cites this paper.

Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering Voice Activity Detection (VAD) in Noisy Environments

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:07:39.517802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:22:52.428152Z digest=sha256:1a1fd94112bec0cd77922c70d4ba60c5d686801909dfba9e7b687028aaca51ac