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Paper Citation Record · LEDGER

Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.05052.

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

pith.paper-citation-record.v1
2306.05052 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:32:46.520937Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:52.976413Z

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 6d4f3a20-2074-44f6-ba40-ac06fed04191 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:52.979965Z

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=2026-05-24T04:13:05.328492Z digest=sha256:c607631ff8f1b37cbcf2778fc91aa917f3b507a48869ca329a56057298609992

Observation 09c7ceea-687d-4aab-841f-bb57859f6cac · inbound

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models cites this paper.

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:46.520937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:46.520937Z digest=sha256:67c7fc011306ff47e5652f22751ab2ea49704916d5e7aaece11a1fc5b0521e92

Observation d14b06b8-7bf5-4c81-b7f5-65c8221df74b · inbound

Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs cites this paper.

Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:53.733436Z

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=2026-05-11T02:16:55.470827Z digest=sha256:705735878369d489a865859cd4de8484a95cd4364117d30efbedb922db1056c5