Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fitting a manifold to data in the presence of large noise
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.10598.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:21.078094Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:58:51.582088Z
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 6e8a106d-dcbe-4fcb-b262-ca1f46dec7df · inbound
Reconstructing the Geometry of Random Geometric Graphs cites this paper.
Reconstructing the Geometry of Random Geometric Graphs Fitting a manifold to data in the presence of large noise
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:58:51.586528Z
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.
Observation eb743bd7-cf35-485b-8888-998c435f4396 · inbound
Local Averaging Accurately Distills Manifold Structure From Noisy Data cites this paper.
Local Averaging Accurately Distills Manifold Structure From Noisy Data Fitting a manifold to data in the presence of large noise
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:00:21.078094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddd764db-fdf8-4766-ad2b-b93f5ee000b8 · inbound
Denoising data using convex relaxations cites this paper.
Denoising data using convex relaxations Fitting a manifold to data in the presence of large noise
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:34.780388Z
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.