Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MadMiner: Machine learning-based inference for particle physics
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1907.10621.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:21:44.396225Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:37:42.840821Z
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 05c343d8-07af-48fe-8b50-38c4fcfc8d42 · inbound
Communicating Likelihoods with Normalising Flows cites this paper.
Communicating Likelihoods with Normalising Flows MadMiner: Machine learning-based inference for particle physics
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:21:44.396225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9600727b-a920-4aa5-8af3-b5dbea9e4617 · inbound
Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production cites this paper.
Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production MadMiner: Machine learning-based inference for particle physics
Reference 37
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-21T23:30:45.740451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b5adb4a6-f3f6-4c31-8776-21f2923c11af · inbound
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties MadMiner: Machine learning-based inference for particle physics
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:28:03.631172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b63f4599-10fe-4819-b9b5-a1e7ccd594c9 · inbound
Unbinning global LHC analyses cites this paper.
Unbinning global LHC analyses MadMiner: Machine learning-based inference for particle physics
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:29:30.480494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bcc9ca0-12ef-4a07-9c77-bb97edb09e63 · inbound
Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators cites this paper.
Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators MadMiner: Machine learning-based inference for particle physics
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:11:19.169881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a12b66a1-9e87-4d74-88ec-614726e4a526 · inbound
AI-Driven Discovery of Information-Efficient Collider Observables for Interference Measurements cites this paper.
AI-Driven Discovery of Information-Efficient Collider Observables for Interference Measurements MadMiner: Machine learning-based inference for particle physics
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T20:35:02.979029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2f949c13-14fc-47a1-b653-6c38b0a9379f · inbound
Matrix element method at NLO: A fine proof of concept in POWHEG cites this paper.
Matrix element method at NLO: A fine proof of concept in POWHEG MadMiner: Machine learning-based inference for particle physics
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:37:42.842720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.