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Paper Citation Record · LEDGER

Regulating AI Adaptation: An Analysis of AI Medical Device Updates

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.16900.

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

pith.paper-citation-record.v1
2407.16900 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:55.206068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:51:33.228851Z

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 e23db86e-3970-45be-b156-406f6b9cdbf5 · inbound

AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification cites this paper.

AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification Regulating AI Adaptation: An Analysis of AI Medical Device Updates

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:55.206068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:55.206068Z digest=sha256:0c26f9c70c0eaf155c7f6fbb5799850f5ae11038ca57352927d812f66503e0cf

Observation aeeebdda-fe0f-4e02-bbba-7be0a2fb37d1 · inbound

An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness cites this paper.

An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness Regulating AI Adaptation: An Analysis of AI Medical Device Updates

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:33.230853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T03:58:19.554654Z digest=sha256:dd63611d17708b9b5a8d9525edf79bbf3f4b8ad42356c2177910123030983e53