Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.12849.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:35.353801Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T19:19:25.342602Z
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 a219c415-7553-478f-94cc-5cc8f6820b35 · inbound
A Step Toward Interpretability: Smearing the Likelihood Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7562ce82-405a-4ade-8f99-c96d7cd55d44 · inbound
Enhancing anomaly detection with topology-aware autoencoders Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a97fd7c4-6a0d-4ebd-8a7b-8af9cc835b56 · inbound
Factorization for Collider Dataspace Correlators Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dddf5c8-5934-4786-bf02-5aca421b24f2 · inbound
Machine-learning techniques for model-independent searches in dijet final states Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.