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Paper Citation Record · LEDGER

Auditing the Ethical Logic of Generative AI Models

As of 23 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2504.17544.

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

pith.paper-citation-record.v1
2504.17544 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:14.626456Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39b75d1b-9d1d-4417-bdfc-2e921a015489 · outbound

This paper cites DeepSeek-V3 Technical Report.

Auditing the Ethical Logic of Generative AI Models DeepSeek-V3 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:14.618541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:14.618541Z digest=sha256:322a277a7112089d4f1b9541f4924332e669afd522b33f336b2ecc662a17ce93

Observation 99638424-ad4a-46c0-9db7-50ecc9b9852f · outbound

This paper cites Can Machines Learn Morality? The Delphi Experiment.

Auditing the Ethical Logic of Generative AI Models Can Machines Learn Morality? The Delphi Experiment

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:14.622694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:14.622694Z digest=sha256:147122b11eaf0ca31b764b2761d4365aee4c6c1dd0d68707061bafb5b14c85fc

Observation f8213530-7f86-44d8-8f6e-8d174902044b · outbound

This paper cites Reasoning with Large Language Models, a Survey.

Auditing the Ethical Logic of Generative AI Models Reasoning with Large Language Models, a Survey

Reference 6793

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:14.626456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:14.626456Z digest=sha256:4ddb6c3c77845985f488f0077d08d6f46091b5215a6e7a6cbf3f707d2cdfef74

Pith citing papers

No inbound Pith citation observations are available.