Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.20407.
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 2026-08-11T12:42:04.731886Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.597513Z
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 3f6dc973-698b-4092-8cbb-513dab43924c · inbound
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning cites this paper.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.731886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e06fceb9-98eb-4045-a65d-97787438e64f · inbound
Amplitude Uncertainties Everywhere All at Once cites this paper.
Amplitude Uncertainties Everywhere All at Once Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:46.910662Z
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 c60a30e1-739a-4c95-97f4-c6daa86bcd58 · inbound
GPT-like transformer model for silicon tracking detector simulation cites this paper.
GPT-like transformer model for silicon tracking detector simulation Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:27:36.577772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2023712b-e494-472e-a11e-22019f222c0a · inbound
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T06:06:41.265000Z
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 7618586c-c687-4120-aa7d-6e5243324a37 · inbound
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:30:39.655656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 696eb1ea-1cc9-4b26-9379-d3f82d5d5ad6 · inbound
Local Conformal Predictions for Calibrated Surrogates cites this paper.
Local Conformal Predictions for Calibrated Surrogates Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T19:58:54.599608Z
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.