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Paper Citation Record · LEDGER

Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10632.

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

pith.paper-citation-record.v1
2406.10632 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:54.567255Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:18:54.846219Z

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 0b30d4bf-3590-4942-8a92-0de08b047280 · inbound

SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector cites this paper.

SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T20:18:54.853677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:18:54.567255Z digest=sha256:1d72b81dee2c41b18ce353f5a77262177821ca337cea5239b5eecee8029b0ce9

Observation 545cd5e0-c379-409a-8e31-1a156d9670e2 · inbound

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations

Reference 151

Resolution
unresolved
no resolver link, observed 2026-08-04T17:04:41.276046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:04:41.276046Z digest=sha256:15f154c9ba7cb56dba80ccebf57b8502ec4a4a898fc2b8d893d672a68e84cf01