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Paper Citation Record · LEDGER

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.05749.

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

pith.paper-citation-record.v1
2205.05749 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:21:43.724147Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:00:04.746818Z

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 74becf85-391b-4a33-9a7a-1eec4c161f4d · inbound

Set Visualizations for Comparing and Evaluating Machine Learning Models cites this paper.

Set Visualizations for Comparing and Evaluating Machine Learning Models Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T23:21:43.724147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:21:43.724147Z digest=sha256:5d7d50715c5caacaa8464c031f48fd2f3355c84315a3474051ad4dfd5f9a8c45

Observation a5e524a3-9383-4f42-9b75-7dc119e6ac35 · inbound

A Mathematical Framework and Software Implementation for Uncertainty Visualisation cites this paper.

A Mathematical Framework and Software Implementation for Uncertainty Visualisation Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:00:04.748501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-25T22:11:20.643717Z digest=sha256:95acdf17cc0365cd7923dfaea59862e0e768ab50c4d5590c0db39b3440191273