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Paper Citation Record · LEDGER

Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.19361.

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

pith.paper-citation-record.v1
2410.19361 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:08.574641Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:51:11.885723Z

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 a1b5a6c5-7dbb-487a-927e-a55f5043e45f · inbound

Federated Learning: From Theory to Practice cites this paper.

Federated Learning: From Theory to Practice Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization

Reference 229

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:08.574641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:24:08.574641Z digest=sha256:33bf5f207a113d8aec43541803d587b190e9be83b6de27c5cf82e18b6b4b88c1

Observation f7ef0116-1c06-4990-bfc5-26cdffcaba85 · inbound

Beyond Explainability: The Case for AI Validation cites this paper.

Beyond Explainability: The Case for AI Validation Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:51:12.027708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:51:09.058117Z digest=sha256:3274c53f71db0192833bf489b339f812da49e5f22a0e1a68346c89e42c69b634