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Paper Citation Record · LEDGER

Best Practices for Responsible Machine Learning in Credit Scoring

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.20536.

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

pith.paper-citation-record.v1
2409.20536 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:28:41.497749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:14:06.649948Z

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 0fafbd82-55ec-4c1e-8f92-d997e8e2ab40 · inbound

Building crypto portfolios with agentic AI cites this paper.

Building crypto portfolios with agentic AI Best Practices for Responsible Machine Learning in Credit Scoring

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:14:06.655374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T18:14:06.608081Z digest=sha256:2d352a7010e754af61284d7296187cee8ebf1bb95b69836cbffff02fc4dc3b6e

Observation bc25e8c6-c0e5-4587-8f4a-135de5fcaf29 · inbound

Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example cites this paper.

Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example Best Practices for Responsible Machine Learning in Credit Scoring

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T04:28:41.497749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:28:41.497749Z digest=sha256:9a0c89a46c8beee450be039ccab4c5536bda98e4a431871129a9b0734ec718db