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Paper Citation Record · LEDGER

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2508.05581.

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

pith.paper-citation-record.v1
2508.05581 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:19:54.406950Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f01198e-3822-4fb7-9938-f6580bceb873 · outbound

This paper cites A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T23:19:54.406950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:19:54.406950Z digest=sha256:dda5246c9fa78de24fe2ec07e83d4711400771fbc2407f2c93cdb36143697e5b

Observation a96eda34-c79f-4d10-ac56-53224f251bf8 · outbound

This paper cites URL https://doi.org/10.1186/s44342-024- 00023-2.

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models URL https://doi.org/10.1186/s44342-024- 00023-2

Reference 742

Resolution
malformed identifier
doi_truncated, observed 2026-08-05T23:19:54.438498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:19:54.402770Z digest=sha256:445879e766b9089d61cb8822601196404cc4220b4bc60d6cceda957ec234b6df

Observation 2a80e5e0-0d68-44dc-bad7-a3858afcc7ab · outbound

This paper cites Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

Reference 3414

Resolution
unresolved
no resolver link, observed 2026-08-05T23:19:54.397599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:19:54.397599Z digest=sha256:4db8a7cf7d4c68a3fd005c04259c1b4edf8c7534605366851a78440f71baef1f

Pith citing papers

No inbound Pith citation observations are available.