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Paper Citation Record · LEDGER

Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.13097.

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

pith.paper-citation-record.v1
2202.13097 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:48:56.937160Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:42:17.303827Z

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 1aa4efc8-d337-4f2b-90f5-d1fdd50f4326 · inbound

Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization cites this paper.

Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:56.937160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:56.937160Z digest=sha256:b8c0f9ae84988b165e8e520bd18bc097df9cb73b1dadb0341ed55bfae20fef17

Observation 435a1d70-ef11-4fc9-b958-bf44366492ec · inbound

Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems cites this paper.

Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:42:17.310496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:42:17.025922Z digest=sha256:e4fb1fe38dd268f29b2c6c77c0ade1f1c3c45fb114b15051b6152a514716768d