Paper Citation Record · LEDGER

Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.10020.

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

pith.paper-citation-record.v1
2411.10020 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:09.732604Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1ed3238e-88fa-4ceb-848b-439a68c6ee48 · inbound

A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes cites this paper.

A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.623979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b268e0c-cd95-41ee-ad57-87e6e31a034f · inbound

Enhancing Clinical Models with Pseudo Data for De-identification cites this paper.

Enhancing Clinical Models with Pseudo Data for De-identification Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:09.732604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ce9fcc-4d0f-4666-9d36-026fa432bc54 · inbound

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data cites this paper.

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:53.568216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9adf4121-e0e8-48d3-ac94-0310b764fa35 · inbound

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition cites this paper.

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:56:47.603473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.