Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.11271.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:17:15.746020Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.774638Z
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 33ff444b-0d70-4c16-8fc6-44a38b5ba8bd · inbound
Constraining Jet Quenching in Heavy-Ion Collisions with Bayesian Inference Jet tomography in heavy ion collisions with deep learning
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5ccc36d-826b-43bd-bda1-a36e9fcac6e5 · inbound
High-Dimensional Unfolding in Large Backgrounds Jet tomography in heavy ion collisions with deep learning
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a2a26ed-f75c-4848-bcc0-c1800ee04c8c · inbound
Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model Jet tomography in heavy ion collisions with deep learning
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66b2a6dd-4f48-4ed6-bb40-1df7798ccaa0 · inbound
Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning Jet tomography in heavy ion collisions with deep learning
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 96863c21-b3ef-40ce-859c-7257c5ea908e · inbound
Local Conformal Predictions for Calibrated Surrogates Jet tomography in heavy ion collisions with deep learning
Reference 216
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.