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Paper Citation Record · LEDGER

Parametric UMAP embeddings for representation and semi-supervised learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.12981.

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

pith.paper-citation-record.v1
2009.12981 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:30:55.381094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:33:02.005245Z

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 2a19b8c6-5376-4a8f-8987-a48c3ea43130 · inbound

Generalizable Spectral Embedding with an Application to UMAP cites this paper.

Generalizable Spectral Embedding with an Application to UMAP Parametric UMAP embeddings for representation and semi-supervised learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T18:30:55.381094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:30:55.381094Z digest=sha256:bf49b4ada95e94d510c7884fe64bf8bd5f8c8f5ccec97e697ac637172c000601

Observation b5e91755-5604-4192-99a9-461f9ff7e202 · inbound

Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias cites this paper.

Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias Parametric UMAP embeddings for representation and semi-supervised learning

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:33:02.010017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T08:32:43.480761Z digest=sha256:1b9c6233272f8cedc2ab0a589d07fe6fa512510e7b3b75fac6684e01cc774739

Observation 8b819704-dbff-4515-9373-ce57681ae9d7 · inbound

Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization cites this paper.

Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization Parametric UMAP embeddings for representation and semi-supervised learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T10:44:00.510611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:44:00.510611Z digest=sha256:025495cdf59016797fb37107edd3a97bf7cc8e76e46c98e986e338662a943380

Observation bedf1a81-d5f8-4ffc-b900-2350f4208150 · inbound

A Comparative Study of UMAP and Other Dimensionality Reduction Methods cites this paper.

A Comparative Study of UMAP and Other Dimensionality Reduction Methods Parametric UMAP embeddings for representation and semi-supervised learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:46:23.835817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T17:42:12.787819Z digest=sha256:78d35027260a9b31b4ddb4da6e698d7624ea01d37a786b49d72fb72632398137