Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty Aware Learning for High Energy Physics
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.08742.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.409164Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.818808Z
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 04ab790e-5b25-4292-95e4-c8a8c45ca074 · inbound
Optimizing The Cut And Count Method In Phenomenological Studies cites this paper.
Optimizing The Cut And Count Method In Phenomenological Studies Uncertainty Aware Learning for High Energy Physics
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T08:29:11.085193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4eac2ef-dfad-45a3-82ae-0f45b99247db · inbound
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Uncertainty Aware Learning for High Energy Physics
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:28:03.738087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaeac00f-a0f8-4f11-9c44-f50515829239 · inbound
Uncovering Hidden Systematics in Neural Network Models for High Energy Physics cites this paper.
Uncovering Hidden Systematics in Neural Network Models for High Energy Physics Uncertainty Aware Learning for High Energy Physics
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:50:56.083100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 00ed2515-6f4b-4e76-af83-b41f93d51edf · inbound
Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks cites this paper.
Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks Uncertainty Aware Learning for High Energy Physics
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:53:42.437558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 596713de-648a-4c70-9ff7-06af0a3d7e65 · inbound
Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks cites this paper.
Enhanced Ionization Charge Identification in the Short-Baseline Neutrino Program Neutrino Detectors with Deep Neural Networks Uncertainty Aware Learning for High Energy Physics
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:55:47.964821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4b57a2fa-e511-4a73-931e-42b536dd4052 · inbound
Local Conformal Predictions for Calibrated Surrogates cites this paper.
Local Conformal Predictions for Calibrated Surrogates Uncertainty Aware Learning for High Energy Physics
Reference 229
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T19:58:54.820064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a0588e3e-0997-4acd-a85b-7b1717b14aa3 · inbound
Generative Amplification with Surrogate Monte Carlo cites this paper.
Generative Amplification with Surrogate Monte Carlo Uncertainty Aware Learning for High Energy Physics
Reference 217
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:39:57.409164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.