Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.02932.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T19:18:37.126985Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:10:51.188863Z
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 b687a259-1598-403d-b067-28e7e32d87a0 · inbound
Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks cites this paper.
Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:10:51.191794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36b6fa82-53f7-4623-af93-3af4fca3e3ef · inbound
Composition-Weighted Symbolic Regression for General-Purpose Property Prediction cites this paper.
Composition-Weighted Symbolic Regression for General-Purpose Property Prediction Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:05:36.515530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.