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Paper Citation Record · LEDGER

Large Language Models are Few-Shot Clinical Information Extractors

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2205.12689.

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

pith.paper-citation-record.v1
2205.12689 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:01:44.542926Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

48
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9b875adf-69e3-4853-8200-67b25b7fd1b6 · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models Large Language Models are Few-Shot Clinical Information Extractors

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:32:33.442067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-24T04:32:33.271634Z digest=sha256:9ff3868a7548c91feeba78fc213d1b8138989e16987b0a95e5d934a9b888dea7

Observation 798aa888-9517-485e-acc5-367ec52dc422 · inbound

Understanding the Dark Side of LLMs' Intrinsic Self-Correction cites this paper.

Understanding the Dark Side of LLMs' Intrinsic Self-Correction Large Language Models are Few-Shot Clinical Information Extractors

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T11:50:54.952490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:50:54.952490Z digest=sha256:776aea57f0083131573d9f96bffe08c62fe84d5496a2c5e57434e524a7562f50

Observation ae4110b7-051f-4220-b9af-5e423bcc7c0e · inbound

Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search cites this paper.

Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search Large Language Models are Few-Shot Clinical Information Extractors

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T15:01:44.542926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:01:44.542926Z digest=sha256:09940eabd7aae101f7f7d3a21477f182c64f5a8ccb5b8dab5f03891209552638

Observation 6f437830-bdcc-4b1d-95a8-a95eae9871ed · inbound

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care cites this paper.

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care Large Language Models are Few-Shot Clinical Information Extractors

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:45:21.734669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T03:43:45.135458Z digest=sha256:af005c83a225c6b76126fc7f07507d459ea3b3db2a329d5eef434064b1187b6a

Observation 8ba517a2-598f-4197-b932-e45b7116030c · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Large Language Models are Few-Shot Clinical Information Extractors

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:02:44.759537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-11T13:02:43.571234Z digest=sha256:a128721bd85aca8cbad7cb21857be23ad3cfcde9bed74f375f46b5faff3d0635

Observation 79cc6ccc-9d14-46b1-bb4c-848f5cb1721d · inbound

Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information cites this paper.

Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information Large Language Models are Few-Shot Clinical Information Extractors

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T20:52:06.345626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T20:49:09.256527Z digest=sha256:786ebbf6a1cc57b9a6d26ad646e6381f8f62d324feb5509a54b2ad143f448749

Observation eeccb613-3fee-49b0-8200-a1b9b422d97c · inbound

CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports cites this paper.

CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports Large Language Models are Few-Shot Clinical Information Extractors

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:50.831728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:50.831728Z digest=sha256:5d5d9d3c70f0085b66cefcdacf582f7955fef24faa8c43a1399e3068fec15ad7

Observation 2936dc8d-da59-436e-959d-e062b05c1a46 · inbound

CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis cites this paper.

CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis Large Language Models are Few-Shot Clinical Information Extractors

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:23.364449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:23.364449Z digest=sha256:6f2953d26327107eec2df1ec7097c8e224c39d8efb0c8954c120b3f479714c0a

Observation 30e73594-66bc-4605-ab16-4aeadd1d512d · inbound

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models cites this paper.

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models Large Language Models are Few-Shot Clinical Information Extractors

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-04T19:27:04.906284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:27:04.906284Z digest=sha256:0b24269a67d11aba3836c46d49885dc5152cff8917cf8b631102da58692ad46c

Observation 53c28011-48cc-44f2-bd7f-d2da70c7a5fd · inbound

A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models cites this paper.

A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models Large Language Models are Few-Shot Clinical Information Extractors

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:25:51.556515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T19:10:24.243459Z digest=sha256:b63ef78b857b20317228b0a33018746898f971463b0ec262772e25878cc4b21d

Observation cc487ac6-91ae-4527-907b-7bffff6a0346 · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Large Language Models are Few-Shot Clinical Information Extractors

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:03.669584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T10:55:20.435471Z digest=sha256:46d3984905c08ab63070a3812904739faf385dd95d4c5795f8175a9ea540145a

Observation 2432b1cc-ddb4-4773-a97d-61681da59788 · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning Large Language Models are Few-Shot Clinical Information Extractors

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:57:31.609821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-10T18:50:22.827472Z digest=sha256:d8111b0316d8bc7e375f9314aaef7af62926d76f53d52eb0a21ca1e415e4393a