Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A semi-supervised approach to dark matter searches in direct detection data with machine learning
As of 28 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.12248.
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 2026-07-28T06:31:03.373048+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T19:29:34.070294Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.742741Z
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 269b7052-57c0-4252-99e2-d52a8dbf9137 · inbound
Local Conformal Predictions for Calibrated Surrogates cites this paper.
Local Conformal Predictions for Calibrated Surrogates A semi-supervised approach to dark matter searches in direct detection data with machine learning
Reference 247
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T19:58:54.744039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.