Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hierarchical Neural Simulation-Based Inference Over Event Ensembles
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.12584.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:54.279798Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation be282f6f-d144-4056-a868-256c0c177a79 · inbound
A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience cites this paper.
A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:47:54.279798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ce77912-46a0-442e-83bd-1ca904447b8d · inbound
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.
Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:28:03.687304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bddea0a-1ea2-4313-80f5-af4b3ef9fa11 · inbound
Tokenised Flow Matching for Hierarchical Simulation Based Inference cites this paper.
Tokenised Flow Matching for Hierarchical Simulation Based Inference Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T01:10:08.716409Z
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 337f5cf8-60f5-46e4-b63d-4875a1214679 · inbound
It Just Takes Two: Scaling Amortized Inference to Large Sets cites this paper.
It Just Takes Two: Scaling Amortized Inference to Large Sets Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:25:54.827408Z
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 32562933-288f-47cd-b3ce-85ff6247ce40 · inbound
Mono-X Signal Characterization from Two-component Dark Matter Using a Convolutional Neural Network cites this paper.
Mono-X Signal Characterization from Two-component Dark Matter Using a Convolutional Neural Network Hierarchical Neural Simulation-Based Inference Over Event Ensembles
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:54:16.789476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.