Paper Citation Record · LEDGER

Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.12006.

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

pith.paper-citation-record.v1
2302.12006 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:14:32.737074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:54:57.678603Z

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 42797431-dcd4-43bb-a5ec-95ac1b903ee8 · inbound

Good practices for evaluation of machine learning systems cites this paper.

Good practices for evaluation of machine learning systems Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T22:14:32.737074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af714903-70a8-4e95-9ea9-50e3f8b7561e · inbound

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems cites this paper.

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:44:00.873218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7cf67ffd-9870-4371-952d-5fd4c94a1d51 · inbound

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems cites this paper.

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:56:18.932527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7decf5f-fb35-413d-a6c0-5f309b16a389 · inbound

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems cites this paper.

ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:54:57.679912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.