Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Challenges for Unsupervised Anomaly Detection in Particle Physics
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.06948.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:19:24.516293Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.535574Z
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 4a8cb0fc-ea93-4e04-8585-0f0dddf14cdd · inbound
Enhancing anomaly detection with topology-aware autoencoders cites this paper.
Enhancing anomaly detection with topology-aware autoencoders Challenges for Unsupervised Anomaly Detection in Particle Physics
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:19:24.516293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad71fda7-5434-4629-ab19-501bd7ce93ce · inbound
Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach cites this paper.
Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach Challenges for Unsupervised Anomaly Detection in Particle Physics
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:15:51.610811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c5f37d0d-626e-496c-b70a-edf2fdc53caa · inbound
Local Conformal Predictions for Calibrated Surrogates cites this paper.
Local Conformal Predictions for Calibrated Surrogates Challenges for Unsupervised Anomaly Detection in Particle Physics
Reference 226
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T19:58:54.537020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 03105d48-b235-4f77-8570-c396e3b01dd5 · inbound
Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning cites this paper.
Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning Challenges for Unsupervised Anomaly Detection in Particle Physics
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:51:49.177738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.