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Paper Citation Record · LEDGER

Real-time Inference with 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-rate Particle Imaging Detectors

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.05638.

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

pith.paper-citation-record.v1
2201.05638 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:14:57.703824Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 15ab482e-91e7-493c-a746-11ec1a74e73e · inbound

Demonstration and performance of an online data selection algorithm for liquid argon time projection chambers using MicroBooNE cites this paper.

Demonstration and performance of an online data selection algorithm for liquid argon time projection chambers using MicroBooNE Real-time Inference with 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-rate Particle Imaging Detectors

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T00:14:57.703824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:14:57.703824Z digest=sha256:d53a6bfccd2ffe5c9144ff0c2676edc5887fb75ab2aadbfe2bf65a19ce1b23b7

Observation f070501b-ef17-4749-ae24-fe22eeddd4bd · inbound

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network cites this paper.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Real-time Inference with 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-rate Particle Imaging Detectors

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T02:37:17.496806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:37:17.496806Z digest=sha256:b6cdecdff35dcfda63dde01a7bb61319210debee0d8cf85711acebf2b458bce1