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Paper Citation Record · LEDGER

Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.23297.

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

pith.paper-citation-record.v1
2507.23297 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T07:05:05.761630Z

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 c0dd3fcd-d3a8-473b-a38a-89acf54f6a53 · inbound

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics cites this paper.

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-07-12T02:13:50.235522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:13:50.235522Z digest=sha256:648c52e11447d73b4dd6efc9f0b2693cca28241ca266a1f95b91fe5bbb0c66ce

Observation fb9fd227-15a2-40d7-80a2-240551323280 · inbound

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics cites this paper.

Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-07-13T07:05:05.761630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:05:05.761630Z digest=sha256:238a247e7c15e4631797fa79eabc22cbfd8a851ea2ca3bd7bc78f7975fec69e5