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Paper Citation Record · LEDGER

Explainable AI for Interpretable Credit Scoring

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.03749.

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

pith.paper-citation-record.v1
2012.03749 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:05:18.231685Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T17:34:25.439107Z

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 47410b3d-2aeb-4051-b4dd-cb13dc84a2ed · inbound

Explainability in Practice: A Survey of Explainable NLP Across Various Domains cites this paper.

Explainability in Practice: A Survey of Explainable NLP Across Various Domains Explainable AI for Interpretable Credit Scoring

Reference 1901

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T17:34:25.442834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-09T17:34:25.141259Z digest=sha256:961bacfb4977005c28521dff612a23a8dac6aec3133f5383fa65b32c82fca3bf

Observation 458ac118-f111-4f1b-84f2-9bea9e6ae45d · inbound

NOMADD: Numerical Optimization of Models Adapting to Data Drift cites this paper.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Explainable AI for Interpretable Credit Scoring

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T15:05:18.231685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:05:18.231685Z digest=sha256:72df384235324353e2f65de6fc47b3432afe76ec48d19d3a3d8cbfd86319475d