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Paper Citation Record · LEDGER

Non-Parametric Estimation of Manifolds from Noisy Data

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.04754.

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

pith.paper-citation-record.v1
2105.04754 v2

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:50:42.557107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.257350Z

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 808be388-52ce-41d7-ac36-5872d53cbabd · inbound

Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization cites this paper.

Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization Non-Parametric Estimation of Manifolds from Noisy Data

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T12:50:42.557107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:50:42.557107Z digest=sha256:92c4ef9444f1e61b4ab641aa5bbc2ab31b045a872c9c836bf1a83f67e8b396a3

Observation 1a3ebb6d-1d87-43a2-9297-321a994a6564 · inbound

Denoising Distances in Metric Measure Spaces cites this paper.

Denoising Distances in Metric Measure Spaces Non-Parametric Estimation of Manifolds from Noisy Data

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:02.769701Z

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=arxiv_source observed=2026-06-26T22:11:59.777496Z digest=sha256:74f491f00aaf2470e159f1ade017417c1f6de469b1e104276db2df081120ba47

Observation ff241c16-0064-4994-a9f7-a5bb0040159f · inbound

Denoising Distances in Metric Measure Spaces cites this paper.

Denoising Distances in Metric Measure Spaces Non-Parametric Estimation of Manifolds from Noisy Data

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:55:30.471200Z

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=arxiv_source observed=2026-07-01T07:55:25.805883Z digest=sha256:9e692de0eb266b83e19a60115effe25be7e1dbc8bc866e80e819c273e588e5e1

Observation e0bfbd3a-d8e3-4bf2-91ce-063d42ba452a · inbound

Manifold Fitting: A Review of Methods and Applications cites this paper.

Manifold Fitting: A Review of Methods and Applications Non-Parametric Estimation of Manifolds from Noisy Data

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:09:43.258790Z

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=2026-06-26T10:27:04.422931Z digest=sha256:7acaef59563f83e4491b81372425e95c17b180afa046399a36f45338026ab39c