Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2312.14190.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:35.532021Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T18:56:27.219001Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7974ca25-3fb3-4979-997d-a71b74c146e0 · inbound
Quantum similarity learning for anomaly detection Machine Learning for Anomaly Detection in Particle Physics
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a02563fc-473d-4323-9825-4d11687d6447 · inbound
Automatizing the search for mass resonances using BumpNet Machine Learning for Anomaly Detection in Particle Physics
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19f1b6b7-08a9-414f-a896-6ab92b07f648 · inbound
A Step Toward Interpretability: Smearing the Likelihood Machine Learning for Anomaly Detection in Particle Physics
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66b90693-cb56-4fb8-86d5-2a34ed7e3c14 · inbound
Enhancing anomaly detection with topology-aware autoencoders Machine Learning for Anomaly Detection in Particle Physics
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06188ca4-bd57-4c23-8383-b424d4335669 · inbound
Factorization for Collider Dataspace Correlators Machine Learning for Anomaly Detection in Particle Physics
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e586aa9-2cd1-42b8-8223-7994db64d22e · inbound
Search for new physics in final states with semi-visible jets or anomalous signatures using the ATLAS detector Machine Learning for Anomaly Detection in Particle Physics
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ff2ccf9-cb88-49c4-b388-ffe6e446d05a · inbound
Generator Based Inference (GBI) Machine Learning for Anomaly Detection in Particle Physics
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d57de07c-646b-4a0e-a8de-e21dc07b0e41 · inbound
Graph theory inspired anomaly detection at the LHC Machine Learning for Anomaly Detection in Particle Physics
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9649d0de-eac6-48c7-80ef-69ec8f73d954 · inbound
Shedding Light on Dark Matter at the LHC with Machine Learning Machine Learning for Anomaly Detection in Particle Physics
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18064867-2f9c-4a74-a00f-abcb32a3a09c · inbound
Look everywhere effects in anomaly detection Machine Learning for Anomaly Detection in Particle Physics
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c63565a1-1066-4c37-8d94-1c5064c382eb · inbound
Explicit or Implicit? Encoding Physics at the Precision Frontier Machine Learning for Anomaly Detection in Particle Physics
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aa11f76-32f0-4c23-a1bf-159177cc170c · inbound
Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach Machine Learning for Anomaly Detection in Particle Physics
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0a7a6f8c-7439-45b1-8ccd-d353629a9329 · inbound
Kitchen Sink Anomaly Detection Machine Learning for Anomaly Detection in Particle Physics
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8e23ddf2-ecb0-4ed3-bec6-abb264dca8a8 · inbound
Bump Hunting Inside Jets with Energy Correlators Machine Learning for Anomaly Detection in Particle Physics
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 66eb5989-2e2d-4d3b-a717-73b03953787c · inbound
Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Machine Learning for Anomaly Detection in Particle Physics
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb5a2def-25db-4b36-ab6b-7b2eaa407337 · inbound
Learning Standard Model structure from LHC data with Riemannian flow matching Machine Learning for Anomaly Detection in Particle Physics
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4258ad21-1a1a-49c2-9b93-4a8118df0b05 · inbound
Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders Machine Learning for Anomaly Detection in Particle Physics
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.