Paper Citation Record · LEDGER

Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.10148.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.10148 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:56.688015Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T08:57:47.945651Z

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 e4a8f369-3c23-4f8b-a51f-bc026f0a1e6a · inbound

Amplitude Uncertainties Everywhere All at Once cites this paper.

Amplitude Uncertainties Everywhere All at Once Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:47.067566Z

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 830f4261-f6d6-4bdc-be48-71788ab34c2a · inbound

GPT-like transformer model for silicon tracking detector simulation cites this paper.

GPT-like transformer model for silicon tracking detector simulation Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T13:27:36.549802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da00a814-9ddf-4d8a-b03c-b5a231bfa156 · inbound

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation cites this paper.

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.946961Z

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 417006af-f9bc-4dab-aa26-c14e2c5654a9 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:56.688015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.