Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lectures on Numerical and Machine Learning Methods for Approximating Ricci-flat Calabi-Yau Metrics
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.17125.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:59:51.244104Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9862fb02-e585-4ead-bc78-aa89cce7f43e · inbound
Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfaces cites this paper.
Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfaces Lectures on Numerical and Machine Learning Methods for Approximating Ricci-flat Calabi-Yau Metrics
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:59:51.244104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9bcea8a-11f3-469c-bcec-484c9f8610d2 · inbound
Machine Learning Gravity Compactifications on Negatively Curved Manifolds cites this paper.
Machine Learning Gravity Compactifications on Negatively Curved Manifolds Lectures on Numerical and Machine Learning Methods for Approximating Ricci-flat Calabi-Yau Metrics
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:10:03.839619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d39e67e2-8b4d-4b5b-b4e8-6af088dbab52 · inbound
The Sharp Edges of Calabi-Yau Manifolds: Designing Symmetric Models for Ricci-flat Metrics cites this paper.
The Sharp Edges of Calabi-Yau Manifolds: Designing Symmetric Models for Ricci-flat Metrics Lectures on Numerical and Machine Learning Methods for Approximating Ricci-flat Calabi-Yau Metrics
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T03:28:57.480476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.