Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.07287.
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 2026-08-15T14:39:57.687898Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.769778Z
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 226a1481-0179-4857-900a-b80aa50766e6 · inbound
Local Conformal Predictions for Calibrated Surrogates cites this paper.
Local Conformal Predictions for Calibrated Surrogates An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC
Reference 290
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T19:58:54.770954Z
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 c720655a-6733-4564-87a3-6a6ac4709d61 · inbound
Generative Amplification with Surrogate Monte Carlo cites this paper.
Generative Amplification with Surrogate Monte Carlo An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC
Reference 278
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:39:57.687898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.