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Paper Citation Record · LEDGER

Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.09267.

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

pith.paper-citation-record.v1
2201.09267 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:41:16.447656Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e04e4734-9d17-4d7c-ada6-cdd22b46c1fb · inbound

Unsupervised Ground Metric Learning cites this paper.

Unsupervised Ground Metric Learning Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:41:16.447656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:16.447656Z digest=sha256:41fb2b1e66cefb361b53c48f021079dc91a7808e45b8a580cf3f018426032f02

Observation d305547e-0436-4063-88e9-65b3c61531ab · inbound

Foundations of Riemannian Geometry for Riemannian Optimization: A Monograph with Detailed Derivations cites this paper.

Foundations of Riemannian Geometry for Riemannian Optimization: A Monograph with Detailed Derivations Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:30:44.465660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:23:05.938250Z digest=sha256:9e4f3c55e6b6a5026c736f694277b77ed37f6bb461ba70193937db29b8a6d68e

Observation 33ecc5a4-cfd3-4f96-bacf-6c5901f09fc7 · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-06-26T00:28:42.864162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T00:27:41.609691Z digest=sha256:f72cc45df029b5b779d0d7b07dfc712fa203737d614d75b0f2579c6525902c13