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Paper Citation Record · LEDGER

Manifold interpolation and model reduction

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.06502.

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

pith.paper-citation-record.v1
1902.06502 v3

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:09:29.691590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:11:21.913903Z

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 2e2eeec6-defc-4c63-8120-a18e0ab5f6cc · inbound

Hermite interpolation and data processing errors on Riemannian matrix manifolds cites this paper.

Hermite interpolation and data processing errors on Riemannian matrix manifolds Manifold interpolation and model reduction

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T13:09:29.691590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:09:29.691590Z digest=sha256:5d7a507a0d61789c74fcf0dc388e453160cd4b8be5361677ae0ae03f7c0fb7be

Observation 6daa0837-74c5-4247-8e25-cc2036ce06e7 · inbound

Deep Learning for Subspace Regression cites this paper.

Deep Learning for Subspace Regression Manifold interpolation and model reduction

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:11:21.916792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T12:07:17.051535Z digest=sha256:9f6c40dc3224364863dbab27bc2e61a2221c079e005ea2d8155219b8fe7b1498