Paper Citation Record · LEDGER

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.08704.

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

pith.paper-citation-record.v1
2505.08704 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:52:10.578979Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy12
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d16bb810-0cf9-4f7b-9b6f-4a7dd1fc6145 · outbound

This paper cites The evolving use of electronic health records (ehr) for research,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs The evolving use of electronic health records (ehr) for research,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.889261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54a2145a-b614-4d6e-9a42-c0b415bd66bb · outbound

This paper cites Mining electronic health records (ehrs) a survey,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Mining electronic health records (ehrs) a survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.492275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d377ea8-2441-4320-81f1-8a7b4d814620 · outbound

This paper cites Clinical named entity recognition: Challenges and opportunities,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Clinical named entity recognition: Challenges and opportunities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.865902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7815324c-00de-4771-8395-d73d1551c96e · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs GPT-NER: Named Entity Recognition via Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.501385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee893d76-82cc-4088-88aa-e11b4d40e346 · outbound

This paper cites Improving large language models for clinical named entity recognition via prompt engineering,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Improving large language models for clinical named entity recognition via prompt engineering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.851987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d91b2d97-94a7-42e9-8b90-940f5d64fbfc · outbound

This paper cites A survey on recent named entity recognition and relationship extraction techniques on clinical texts,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs A survey on recent named entity recognition and relationship extraction techniques on clinical texts,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.837772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9641fc4d-ac46-42be-96fe-fab85063b4a5 · outbound

This paper cites Clinical concept extraction: a methodology review,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Clinical concept extraction: a methodology review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.823647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac54c865-cbfe-4fb9-9348-6daca26213c1 · outbound

This paper cites Biobert based named entity recognition in electronic medical record,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Biobert based named entity recognition in electronic medical record,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.520769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c26633-78f3-4fff-a6b4-0c767ec0b743 · outbound

This paper cites Med-bert: A pretraining framework for medical records named entity recognition,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Med-bert: A pretraining framework for medical records named entity recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.798704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a3c701c-ff0c-43c3-82f3-d29226f7a524 · outbound

This paper cites LLM on FHIR -- Demystifying Health Records.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs LLM on FHIR -- Demystifying Health Records

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.529252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e75bb70b-3496-4c63-8700-18737ca48fd3 · outbound

This paper cites How reliable ai chatbots are for disease prediction from patient complaints?.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs How reliable ai chatbots are for disease prediction from patient complaints?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.782492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c26dc2b-6efc-4b65-86cd-d4c62d2e98ef · outbound

This paper cites Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.768481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f49cfbaa-d292-48b6-a9c7-3f4bf6d86436 · outbound

This paper cites A critical assessment of using chatgpt for extracting structured data from clinical notes,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs A critical assessment of using chatgpt for extracting structured data from clinical notes,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.753892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55323f95-9601-464b-89ba-a30ae670f9dc · outbound

This paper cites 2010 i2b2/va challenge on concepts, assertions, and relations in clinical text,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs 2010 i2b2/va challenge on concepts, assertions, and relations in clinical text,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.739649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f2ee5c7-2e03-492b-8643-ad812864b60d · outbound

This paper cites GPT-4o System Card.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs GPT-4o System Card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.552010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb620439-907a-4461-aef5-b30c7bc60366 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.556628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64dd1df-7d04-4c17-b1f9-767e7a6265e7 · outbound

This paper cites Alammar and M.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Alammar and M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.725466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a680e97-d725-4c77-bdc5-0e89ceda63bb · outbound

This paper cites Lost in the middle: How language models use long contexts,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Lost in the middle: How language models use long contexts,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.565326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b559abb0-f9da-4269-9c60-171dd2656373 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Chain-of-thought prompting elicits reasoning in large language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.569866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7426cd-706d-4665-b6bb-d2a0815f6b44 · outbound

This paper cites Autocompletion of chief complaints in the electronic health records using large language models,.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Autocompletion of chief complaints in the electronic health records using large language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:52:10.691985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9df20812-4257-414b-a090-f063301d9864 · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs Publicly Available Clinical BERT Embeddings

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:10.578979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.