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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2602.11138.

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

pith.paper-citation-record.v1
2602.11138 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

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

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d62d9f66-102f-4bc3-a458-5b3a894a577d · outbound

This paper cites Heck et al.,CORSIKA: A Monte Carlo code to simulate extensive air showers, Tech.

Demonstration and performance of an online data selection algorithm for liquid argon time projection chambers using MicroBooNE Heck et al.,CORSIKA: A Monte Carlo code to simulate extensive air showers, Tech

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T00:14:57.567870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:14:57.567870Z digest=sha256:b094317246f55f2f7eeb16f77d5bf37aed7a977f8df0acdafb4680de08d69689

Observation c02b6bb9-5ab7-4adb-bcb8-5d33ba3e9360 · outbound

This paper cites ICARUS at the Fermilab Short-Baseline Neutrino Program -- Initial Operation.

Demonstration and performance of an online data selection algorithm for liquid argon time projection chambers using MicroBooNE ICARUS at the Fermilab Short-Baseline Neutrino Program -- Initial Operation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T00:14:57.599368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:14:57.599368Z digest=sha256:ed3eba576c66bfece039e6476cd566173dbe7393e5484a7e3216177540445fd0

Observation ad3eab95-023e-4e5a-8751-1c58bed37bcc · outbound

This paper cites Real-time Anomaly Detection for Liquid Argon Time Projection Chambers.

Demonstration and performance of an online data selection algorithm for liquid argon time projection chambers using MicroBooNE Real-time Anomaly Detection for Liquid Argon Time Projection Chambers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T00:14:57.651015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:14:57.651015Z digest=sha256:8fb7ee6eed79bb5d3553806b754f8ba6b7f3bdf638dd1c868bf55e9c5b49d58d

Observation 15ab482e-91e7-493c-a746-11ec1a74e73e · outbound

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

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=sha256:41106557856eab707f76b47566af6e4277bd405ee469538d47ae7f5b58bfa77e

Pith citing papers

No inbound Pith citation observations are available.