Paper Citation Record · LEDGER

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2502.05638.

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

pith.paper-citation-record.v1
2502.05638 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:36:08.159383Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

31 of 31 outbound references displayed

verified exact4
verified fuzzy15
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb07d34b-a447-4075-b2e2-e84ecfa4bf5c · outbound

This paper cites Frontiers i n Pharmacology (2023).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Frontiers i n Pharmacology (2023)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.716015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1df5a72f-d492-4faa-bde7-9cfa7757bb69 · outbound

This paper cites Internati onal Journal of Engineer- ing Business Management (2019).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Internati onal Journal of Engineer- ing Business Management (2019)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.706876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c65e7017-5d0b-40d1-b289-c705cff97d73 · outbound

This paper cites Scientiﬁc data (2018).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Scientiﬁc data (2018)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.696107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3dfede94-b487-400d-b569-f454a046e4a9 · outbound

This paper cites In: BIOCOMPUTING 2021: Proceedings of the Paciﬁc Symposium (2020).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports In: BIOCOMPUTING 2021: Proceedings of the Paciﬁc Symposium (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.686651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54a4b5b8-ad2e-435c-aadf-cf9d6450a1a5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.066699Z

Source-reported events for the cited work

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Observation 8bbfc9ed-dbda-4a76-943a-531d49065e6d · outbound

This paper cites an unresolved cited work.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:36:08.676413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c978b48b-f00c-43a2-8bb4-288adf1e406c · outbound

This paper cites an unresolved cited work.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:36:08.666493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e7bb24d-8c6c-4005-ab10-9c96e3131a3a · outbound

This paper cites an unresolved cited work.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-08T18:36:08.657255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6310e21-0dfd-441a-b732-b1a6c51caa06 · outbound

This paper cites Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.082526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b12a497-fa4c-4f60-a331-d2dea66d05bd · outbound

This paper cites The Llama 3 Herd of Models.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.086807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b449ef5-8172-4e45-92ef-970d7a5d3771 · outbound

This paper cites https://doi.org/10.5281/zenodo.14795642.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports https://doi.org/10.5281/zenodo.14795642

Reference 11

Resolution: verified exact; doi, observed 2026-08-08T18:36:08.262070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b62096c7-3245-474a-ad48-4549f8d5a014 · outbound

This paper cites https://doi.org/10.5281/zenodo.14793810.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports https://doi.org/10.5281/zenodo.14793810

Reference 12

Resolution: verified exact; doi, observed 2026-08-08T18:36:08.250968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a865d0c3-585f-4774-8764-d5af294d89d4 · outbound

This paper cites Yearbook of medical informatics (2020).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Yearbook of medical informatics (2020)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.647864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a8ec41d4-7817-4ec1-893f-82253620c794 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.101640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b82a732-9b93-46c4-8b92-db533682eb13 · outbound

This paper cites Journal of the American Medi cal Informatics Asso- ciation (2024).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Journal of the American Medi cal Informatics Asso- ciation (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.637249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cdb6fc98-ffcf-4ef7-b071-f0ac08cdcf98 · outbound

This paper cites Scott MARCUS, Bertin MARTENS, Christophe CARUGATI, A .B., and Ilsa GODLOVITCH: The European Health Data Space.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Scott MARCUS, Bertin MARTENS, Christophe CARUGATI, A .B., and Ilsa GODLOVITCH: The European Health Data Space

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.625740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a82a4f6-2b34-448b-8460-13b7c73648f8 · outbound

This paper cites ACM Com- puting Surveys 55(12), 1–38 (2023).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports ACM Com- puting Surveys 55(12), 1–38 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.614639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a0eaed5-b459-44a5-81ba-77901aa05dcc · outbound

This paper cites Knowl- edge and Information Systems (2023).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Knowl- edge and Information Systems (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.604086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0825f04-0a02-417d-908d-474899e6923c · outbound

This paper cites GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.117779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca428f88-2421-4c4f-9fb8-392ef9c6965c · outbound

This paper cites Journal of biomedical informatic s (2009).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Journal of biomedical informatic s (2009)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.593035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c115480-911a-4747-ae0d-d98a95820a79 · outbound

This paper cites Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:36:08.228133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33499770-e9f7-4ecb-b112-957dd4aa5b14 · outbound

This paper cites In: Jiang, J., Reit ter, D., Deng, S.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports In: Jiang, J., Reit ter, D., Deng, S

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.126889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aba9bfc-cea5-4afb-b21c-4193e89b68be · outbound

This paper cites , Wu, Y.: Model tuning or prompt tuning? a study of large language models for clinic al concept and relation extraction.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports , Wu, Y.: Model tuning or prompt tuning? a study of large language models for clinic al concept and relation extraction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.582589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3aa69d9a-3dc1-4adc-9f55-dad42018defa · outbound

This paper cites OpenAI blog (2 019).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports OpenAI blog (2 019)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.572462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbcafc52-4155-49c9-926c-46020ef725f1 · outbound

This paper cites A Medical Information Extraction Workbench to Process German Clinical Text.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports A Medical Information Extraction Workbench to Process German Clinical Text

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T18:36:08.206106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26499424-e6a1-4d3e-bfb9-e2e05fe9c772 · outbound

This paper cites Advances in ne ural information pro- cessing systems (2017).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Advances in ne ural information pro- cessing systems (2017)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.563013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48aa7f17-ee86-409d-b707-564cfd10ea53 · outbound

This paper cites ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.144414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce211aae-646b-41e1-a5a2-3e4c52e57fd3 · outbound

This paper cites Journal of the American Medical Informatics Associ ation (2020).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Journal of the American Medical Informatics Associ ation (2020)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.551454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab7601a1-9234-4121-bca3-f5c7b65b9078 · outbound

This paper cites In: Proceedings of BioNLP 15 (2015).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports In: Proceedings of BioNLP 15 (2015)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:36:08.539141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b05fd29-09e3-4749-8454-cc06ef7f386a · outbound

This paper cites In: Procs.

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports In: Procs

Reference 30

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T18:36:08.516186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e46008e4-73c4-46d6-a890-ad36a49788ac · outbound

This paper cites Scientiﬁc data 10(1), 909 (2023).

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports Scientiﬁc data 10(1), 909 (2023)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T18:36:08.159383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.