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Paper Citation Record · LEDGER

Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.14132.

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

pith.paper-citation-record.v1
2107.14132 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:41:03.183317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:03:08.397963Z

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 4f202525-3d7a-4595-98c7-0760ba8a38e7 · inbound

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation cites this paper.

NE-PADD: Leveraging Named Entity Knowledge for Robust Partial Audio Deepfake Detection via Attention Aggregation Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T10:41:03.183317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:41:03.183317Z digest=sha256:4ad4904bb21ebed8d76a93fa0a57455392f9497a45d81a76ea8e65402f2531b5

Observation 12c8b23e-2ae6-4d06-853c-edb4f90a5add · inbound

Split and Conquer Partial Deepfake Speech cites this paper.

Split and Conquer Partial Deepfake Speech Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:03:08.399372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:02:57.786792Z digest=sha256:f7679c844c65bf8170ecb8ed4137dde6557ff3c25977b4a8717ec14affef5cc5