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Paper Citation Record · LEDGER

An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.08654.

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

pith.paper-citation-record.v1
2403.08654 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:27:59.124425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:41:30.565729Z

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 ffd426c4-a3c5-4a1e-b09c-22283fe12c2b · inbound

Alethia: A Foundational Encoder for Voice Deepfakes cites this paper.

Alethia: A Foundational Encoder for Voice Deepfakes An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:30.569243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T19:27:59.124425Z digest=sha256:5077b0a0c56256be0fb9e7293b79d74d0c7756ab85fd46b69a2795f22d3e1e26