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Paper Citation Record · LEDGER

Generative Learning of Densities on Manifolds

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.03963.

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

pith.paper-citation-record.v1
2503.03963 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:36:02.056124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:32:35.516292Z

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 d8157c60-5907-4007-abfa-132070c5ae55 · inbound

Generative Learning for Slow Manifolds and Bifurcation Diagrams cites this paper.

Generative Learning for Slow Manifolds and Bifurcation Diagrams Generative Learning of Densities on Manifolds

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T05:36:02.056124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:36:02.056124Z digest=sha256:eb18f51ce074c1425b17c478ce734e9988f4ec9bcfbd084bd0c3705ed1bd684a

Observation 374f2c34-fbd2-4085-b364-f1c586b8b93a · inbound

Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps cites this paper.

Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps Generative Learning of Densities on Manifolds

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:32:35.604978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:32:31.898795Z digest=sha256:3d2de0d751e3b9338fc82e8599a1ed80a5aaf282f8c938f34259f8723a9af723