Paper Citation Record · LEDGER

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.22870.

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

pith.paper-citation-record.v1
2410.22870 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:52:40.850794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:35:52.098803Z

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 32cb0a56-09bb-4047-a6ee-54fd2bb9402b · inbound

Forecasting Generative Amplification cites this paper.

Forecasting Generative Amplification Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T21:31:19.922066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dbca65d-e4fc-4856-94de-2fd123724d33 · inbound

A universal vision transformer for fast calorimeter simulations cites this paper.

A universal vision transformer for fast calorimeter simulations Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T12:08:21.617907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation effcb59a-02ef-42f2-9335-d8260b5f8ef3 · inbound

Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model cites this paper.

Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:03:39.637183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf9d6db7-c42f-46b0-943c-f76be29cddce · inbound

Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model cites this paper.

Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:01.357431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f195745-7e9e-4028-a1ec-c10222d64e1d · inbound

Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data cites this paper.

Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:35:52.100062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c5ca7d1-bd31-4618-9a1f-e5ee39f0b9d1 · inbound

Interferometric Quantum Polynomial Chaos Expansion as a Generative Model for Calorimeter Shower Simulation cites this paper.

Interferometric Quantum Polynomial Chaos Expansion as a Generative Model for Calorimeter Shower Simulation Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T13:52:40.850794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.