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Paper Citation Record · LEDGER

New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution

As of 7 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2604.08814.

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

pith.paper-citation-record.v1
2604.08814 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:50:15.223870Z

measured 3 of 3 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 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

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a94c68ef-2b58-4900-86e9-26de009c269d · outbound

This paper cites Agostinelli, et al., Nucl.

New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution Agostinelli, et al., Nucl

Reference 1

Resolution
metadata mismatch
doi, observed 2026-05-10T16:50:35.858298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:50:15.223870Z digest=sha256:d4873969aa4b894547c2e474d83f181b1443bcf345dd30360b24a004c87b1056

Observation 1b85217f-716a-4c79-bf6c-8b7e6785d5ff · outbound

This paper cites doi: 10.1016/j.nima.2018.12.079.

New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution doi: 10.1016/j.nima.2018.12.079

Reference 2

Resolution
verified exact
doi, observed 2026-05-10T16:50:35.861595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:50:15.223870Z digest=sha256:b70f4a102640613ab09f5ced6ba8bb22a9511d4162e6d8664b590b5a33f02d94

Observation db2c5e22-40a4-488f-99a1-e817106caf32 · outbound

This paper cites Asymptotic formulae for likelihood-based tests of new physics.

New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution Asymptotic formulae for likelihood-based tests of new physics

Reference 3

Resolution
metadata mismatch
doi, observed 2026-05-11T01:50:14.583456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:50:15.223870Z digest=sha256:8d84a60c0b53b62fb52fbc178503473f1264b0e04b91bce323c8e77be0f76269

Pith citing papers

No inbound Pith citation observations are available.