Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:04.799644Z
Paper Citation Record · LEDGER
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning
As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.13982.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
22 of 22 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved20
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 388c6a20-ca1f-4f53-8161-3db5cc81c64e · outbound
This paper cites Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.592353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a81b4c55-3cc6-4486-8031-756808a683b2 · outbound
This paper cites Neural Network-Based Approach to Phase Space Integration.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Neural Network-Based Approach to Phase Space Integration
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.598666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d100678-8883-45a1-833f-961040c97540 · outbound
This paper cites Improved Neural Network Monte Carlo Simulation.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Improved Neural Network Monte Carlo Simulation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.608425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9990b9dc-00be-40d2-be1c-535d9bb898b9 · outbound
This paper cites Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.617962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29fd561e-58c2-4d80-ae86-2bc5f7876cf0 · outbound
This paper cites How to GAN away Detector Effects.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning How to GAN away Detector Effects
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.630384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3cfd12d-45d6-44c3-ab2b-0871d1132c67 · outbound
This paper cites Exploring phase space with Neural Importance Sampling.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Exploring phase space with Neural Importance Sampling
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.637337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 398b4ebe-bf13-48bb-80f3-d58aaa7cf2e0 · outbound
This paper cites Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.646977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9566df37-032d-461f-bbea-a6ef00597052 · outbound
This paper cites Unweighting multijet event generation using factorisation-aware neural networks.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Unweighting multijet event generation using factorisation-aware neural networks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.662299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58e83a36-9c8a-4719-8a76-54e9e8768c97 · outbound
This paper cites Efficient phase-space generation for hadron collider event simulation.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Efficient phase-space generation for hadron collider event simulation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.672769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac192e1c-50d4-4e71-9f9f-0a3a2c02307c · outbound
This paper cites (Machine) Learning amplitudes for faster event generation.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning (Machine) Learning amplitudes for faster event generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.679519Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2fc188e-dc5a-4588-a5a5-a2e4312f6adf · outbound
This paper cites A factorisation-aware Matrix element emulator.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning A factorisation-aware Matrix element emulator
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.686413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 864f1339-42a8-412c-b588-18add198f4c5 · outbound
This paper cites Event Generation with Normalizing Flows.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Event Generation with Normalizing Flows
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.696630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bbaebd3-ebe2-4975-a54c-25d12873e187 · outbound
This paper cites MadNIS -- Neural Multi-Channel Importance Sampling.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning MadNIS -- Neural Multi-Channel Importance Sampling
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.705647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62511486-0bf1-449d-88f7-e63169e687e4 · outbound
This paper cites Normalizing Flows for High-Dimensional Detector Simulations.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Normalizing Flows for High-Dimensional Detector Simulations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.714477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f6dc973-698b-4092-8cbb-513dab43924c · outbound
This paper cites Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows.
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 ab43d942-fde0-40ad-bded-855f2c15685e · outbound
This paper cites Rudin, Principles of Mathematical Analysis.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Rudin, Principles of Mathematical Analysis
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:42:05.630677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7a15b9d2-98cb-4726-bf70-b4742fd9fc3f · outbound
This paper cites Exploration of Parameter Spaces Assisted by Machine Learning.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Exploration of Parameter Spaces Assisted by Machine Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.752686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c1014f1-8fbf-45cb-a4e2-e4dfdc8f064e · outbound
This paper cites Adaptive Multidimensional Integration: VEGAS Enhanced.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Adaptive Multidimensional Integration: VEGAS Enhanced
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.759975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8234c9ba-c641-4629-bc09-aaa2da9c190a · outbound
This paper cites LHAPDF6: parton density access in the LHC precision era.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning LHAPDF6: parton density access in the LHC precision era
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.773535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2994bcb0-d508-4558-b42a-e0cf39ec6ad1 · outbound
This paper cites Parton distributions with LHC data.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Parton distributions with LHC data
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.780588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97e126af-0f80-45d7-8a0b-7b0599dfb44f · outbound
This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.791157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26aa59d4-e032-4ea7-b30a-b0fa0c06dace · outbound
This paper cites Brun and F.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Brun and F
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:42:05.590070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.