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Paper Citation Record · LEDGER

Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.00810.

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

pith.paper-citation-record.v1
2110.00810 v2

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 2026-08-05T13:28:03.878578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.799419Z

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 1b976559-005e-4938-a4ff-42e688f15d49 · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.878578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:03.878578Z digest=sha256:657a35f13bc7cceff0a8629bb806f1153f54c1377b8bb53e781d622653b1534b

Observation e0ae4f63-d0e9-4fd5-b642-fdf852490596 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.800856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:483632068514e608d3e82f35b1181767c9a12d4f023f4d623679c651e1572a18