Paper Citation Record · LEDGER

In defence of metric learning for speaker recognition

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.11982.

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

pith.paper-citation-record.v1
2003.11982 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:24:25.971627Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:59:54.740065Z

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 e33bdbb9-9350-4ae5-819e-86f39e2d4765 · inbound

Addressing malware family concept drift with triplet autoencoder cites this paper.

Addressing malware family concept drift with triplet autoencoder In defence of metric learning for speaker recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:25.971627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8caaa5-c78d-42d3-a4f4-95daf0c65737 · inbound

Non-Adaptive Adversarial Face Generation cites this paper.

Non-Adaptive Adversarial Face Generation In defence of metric learning for speaker recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:29.298723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95558c2-85a4-4065-87d2-ca1df8cabf54 · inbound

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable cites this paper.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable In defence of metric learning for speaker recognition

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:06:11.967733Z

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.

Observation 7bca6d9a-4869-4be9-8fd0-d407d90d552e · inbound

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable cites this paper.

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable In defence of metric learning for speaker recognition

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:59:54.744176Z

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.

Observation 3934e87d-94c5-474e-aa1b-c6cff3f7fb6b · inbound

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation cites this paper.

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation In defence of metric learning for speaker recognition

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:49:50.907717Z

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.