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Paper Citation Record · LEDGER

Clinical Trials Ontology Engineering with Large Language Models

As of 11 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2412.14387.

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

pith.paper-citation-record.v1
2412.14387 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:19:13.375923Z

measured 29 of 29 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 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

29 of 29 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved20
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a312ab0e-088e-462a-a5ad-bb5908b27c29 · outbound

This paper cites — github.com.https://github.com/ollama/ollama, [Accessed 16-06-2024].

Clinical Trials Ontology Engineering with Large Language Models — github.com.https://github.com/ollama/ollama, [Accessed 16-06-2024]

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:19:14.049534Z

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=2026-08-11T12:19:13.242196Z digest=sha256:bcac98fb57cdb0254c3821ceaafcc5519bd9ff2d4b52a8c29020fa8ae2cf3bb7

Observation 1382bb43-06be-4d47-969d-b7a56671a193 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Clinical Trials Ontology Engineering with Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.247467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.247467Z digest=sha256:89096664f5368d859ab42c1e5adc22012944e60463928305a825f06bb7b7181d

Observation 0030c49a-65f0-411f-98bd-8541c1b16a0f · outbound

This paper cites https://llama.meta.com/llama3/, [Accessed 16-06-2024].

Clinical Trials Ontology Engineering with Large Language Models https://llama.meta.com/llama3/, [Accessed 16-06-2024]

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:19:14.035279Z

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=2026-08-11T12:19:13.252385Z digest=sha256:3a24a64b4da8589e7a555bfc666cf3fb10731684f120fa2258016f58520093f4

Observation aebe1ee6-5c2f-4941-8075-1f2b5bacbf4b · outbound

This paper cites https://doi.org/10.1371/journal.pmed.1000326, https://www.ncbi.

Clinical Trials Ontology Engineering with Large Language Models https://doi.org/10.1371/journal.pmed.1000326, https://www.ncbi

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.256970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.256970Z digest=sha256:94830a27981f4bb7249f5d538538adf060932eced8eed43e0524a4509c14d48e

Observation 7513e5ab-fc65-43c7-864c-a06c07c78d93 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:14.018858Z

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=2026-08-11T12:19:13.261798Z digest=sha256:4624508e40c0458e0aba492b76e4ec3f3baa3d561e8c716404a9357e4096badd

Observation 36fc0d35-92dd-4b5d-b760-12c64372127c · outbound

This paper cites Scientific American 284(5), 34–43 (2001), https://www.jstor.org/stable/26059207, publisher: Sci- entific American, a division of Nature America, Inc.

Clinical Trials Ontology Engineering with Large Language Models Scientific American 284(5), 34–43 (2001), https://www.jstor.org/stable/26059207, publisher: Sci- entific American, a division of Nature America, Inc

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-11T12:19:13.876122Z

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=2026-08-11T12:19:13.266038Z digest=sha256:a8ae0624d24fc2941dfbf3e32a7c0e2bc752c862a002b8a0e6d978eee05b8483

Observation 4857e092-5cde-4c60-89ae-23d62e5fa465 · outbound

This paper cites Language Models are Few-Shot Learners.

Clinical Trials Ontology Engineering with Large Language Models Language Models are Few-Shot Learners

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.270756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.270756Z digest=sha256:fef5369a4793de3082252004afe8fa9d9154286e90446b69af7ce5b17fd822fd

Observation b0431a5c-bb16-4b3f-bb10-75c4caa7d677 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:14.004073Z

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=2026-08-11T12:19:13.274949Z digest=sha256:889af1d2404b60b1654fb1a82d527fee23cb7dc3956a32aadd56308705f46b59

Observation 3b6115f3-9d6b-4ca6-bd7b-c8781777d923 · outbound

This paper cites OK Google, What Is Your Ontology? Or: Exploring Freebase Classification to Understand Google's Knowledge Graph.

Clinical Trials Ontology Engineering with Large Language Models OK Google, What Is Your Ontology? Or: Exploring Freebase Classification to Understand Google's Knowledge Graph

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.279027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.279027Z digest=sha256:cc086b3ddeddf0b1bc47148a951747ff64ac4af4d4d13db62264ca4cac45d729

Observation 1df1e3a5-1730-483b-8389-7532d6952869 · outbound

This paper cites In: Proceedings of the 3rd Clinical Natural Language Pro- cessing Workshop.

Clinical Trials Ontology Engineering with Large Language Models In: Proceedings of the 3rd Clinical Natural Language Pro- cessing Workshop

Reference 10

Resolution
verified exact
doi, observed 2026-08-11T12:19:13.538878Z

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=2026-08-11T12:19:13.283561Z digest=sha256:efb2222394f0c06be439408cfaef27fe39a229a8d7265c5e3ffa40e2c2538983

Observation 4632a419-e2b3-4791-8d67-f15f553e803e · outbound

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

Clinical Trials Ontology Engineering with Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.288025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.288025Z digest=sha256:2b716f7a752a9374b6d3119a567a8e03fa9ea732a0851c8a55304fca528bb65b

Observation 82cc9253-4253-46bc-bd8a-9cd5873537bf · outbound

This paper cites Expert Systems with Applica- tions 40(7), 2696–2703 (Jun 2013).

Clinical Trials Ontology Engineering with Large Language Models Expert Systems with Applica- tions 40(7), 2696–2703 (Jun 2013)

Reference 12

Resolution
verified exact
doi, observed 2026-08-11T12:19:13.523304Z

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=2026-08-11T12:19:13.292525Z digest=sha256:96a43b3a542209705146d2d69b0c664930dcc02e1c4679dfe14e3f595698409f

Observation 186dc5b6-53aa-4b37-89ec-32b80f048c68 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:13.988881Z

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=2026-08-11T12:19:13.298123Z digest=sha256:d24e308b7e990049ae9bc50fd99c49ed8f547d631d3de7f1a6c4586cce917b0b

Observation d29e2247-2165-44b4-bfb8-3badefc22800 · outbound

This paper cites End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.

Clinical Trials Ontology Engineering with Large Language Models End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.303310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.303310Z digest=sha256:76c7f5100423ad9a4ddddd710a8a342c401313d2ab0386aaf2ef5d38e93e726c

Observation f47e2f4f-708c-4380-bd1b-0a0ae46b7186 · outbound

This paper cites (eds.) Handbook on Ontologies, pp.

Clinical Trials Ontology Engineering with Large Language Models (eds.) Handbook on Ontologies, pp

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-08-11T12:19:13.308965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.308965Z digest=sha256:5723827eb660ca3e8a839e9ff534e457a41c0babc373c53b7a653f8b3075c462

Observation 94d46544-1bf2-4f4e-a382-2f4f03432776 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-11T12:19:13.777921Z

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=2026-08-11T12:19:13.314432Z digest=sha256:265832977ad270ae6719d68a70a344eed1a6277b54f5cdc900288a5ae8074f5d

Observation dbf107cd-98d2-4661-ae2c-e099b5d64933 · outbound

This paper cites ACM Comput- ing Surveys 55(12), 248:1–248:38 (Mar 2023).

Clinical Trials Ontology Engineering with Large Language Models ACM Comput- ing Surveys 55(12), 248:1–248:38 (Mar 2023)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.319124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.319124Z digest=sha256:20c0596df575c13ecc05d5dfeb450c6821683fd916af3f8d7c4004f785f1f8c2

Observation 3c5a874a-726f-44ed-964f-19964f938e64 · outbound

This paper cites BMC Medical Informatics and Decision Making 10(1), 56 (Sep 2010).

Clinical Trials Ontology Engineering with Large Language Models BMC Medical Informatics and Decision Making 10(1), 56 (Sep 2010)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.324334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.324334Z digest=sha256:fbcd62c832f6d7da913eb185a1801c0a45af9388caec79ffa623431a7b290309

Observation c6b440dd-0aad-470d-a925-4d99b9b6887e · outbound

This paper cites Do We Still Need Clinical Language Models?.

Clinical Trials Ontology Engineering with Large Language Models Do We Still Need Clinical Language Models?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.329433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.329433Z digest=sha256:4c13ffc24e5254aa9e3f74c3600cc04630a2d680bf4439a5b1595e07b898dd81

Observation 236fa358-27c5-43df-a020-4988fd868686 · outbound

This paper cites In: 2021 IEEE 9th International Con- ference on Healthcare Informatics (ICHI).

Clinical Trials Ontology Engineering with Large Language Models In: 2021 IEEE 9th International Con- ference on Healthcare Informatics (ICHI)

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.335005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.335005Z digest=sha256:6b84f0113d99b26b3750b8f8043538c3d9b8347ac0cee7980a265e9ef75e7fdd

Observation 0bfcbef5-ff27-4197-8265-1569ef7943c8 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:13.971640Z

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=2026-08-11T12:19:13.340577Z digest=sha256:65b5e271a15b976317dfea1e54b188c7348dac9e130819474226c8275cb8cab2

Observation c13f0de0-ce28-40a5-ad4f-8e7b65a751dd · outbound

This paper cites AMIA Summits on Translational Science Proceedings 2021, 485–494 (May 2021), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378650/.

Clinical Trials Ontology Engineering with Large Language Models AMIA Summits on Translational Science Proceedings 2021, 485–494 (May 2021), https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378650/

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:19:13.955659Z

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=2026-08-11T12:19:13.345458Z digest=sha256:fe886a8c4f6986dd29efb1a780752e8e267a007e3671fae7e7af0fee79ca812d

Observation 51c188b7-5652-4750-9a17-256e843dc274 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:13.941449Z

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=2026-08-11T12:19:13.350404Z digest=sha256:52e7149080444f63805e9b852c0d86a7491343a14b327e1bdda0063201e1624b

Observation 1d6f78e0-2457-43d2-b0d8-d3c61b697966 · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:13.927705Z

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=2026-08-11T12:19:13.354953Z digest=sha256:82c0523eab0b5381a8b73c51706c4a2c0d678bfc44fa28a7b47c050b17e0015f

Observation be27b72b-eb37-4fff-ba67-70de6c72bf9d · outbound

This paper cites International Journal of Computing p.

Clinical Trials Ontology Engineering with Large Language Models International Journal of Computing p

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.359088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.359088Z digest=sha256:a2e2c19929656346939d39df1ed9cd2b6491e8ecf5b0ad2722b9cff5136d7be0

Observation 303d0540-d925-49dd-9484-0f80dd2cd88f · outbound

This paper cites Engineering Applications of Artificial Intelligence 63, 108–125 (Aug 2017).

Clinical Trials Ontology Engineering with Large Language Models Engineering Applications of Artificial Intelligence 63, 108–125 (Aug 2017)

Reference 26

Resolution
verified exact
doi, observed 2026-08-11T12:19:13.433198Z

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=2026-08-11T12:19:13.363266Z digest=sha256:d5031dbf607144d87495a9653e1807f39e4232c8b255abbafb0a7a4972428384

Observation 94c15745-eca1-48f2-8fc6-40f95156aa0b · outbound

This paper cites Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction.

Clinical Trials Ontology Engineering with Large Language Models Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.367348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.367348Z digest=sha256:fd85718ce419853f7a7e84cf118fa0eb57df6197d9bbc50872f4b9be9b373345

Observation b345e52e-efd3-4fd8-9728-74387dd4fe6a · outbound

This paper cites an unresolved cited work.

Clinical Trials Ontology Engineering with Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:19:13.904487Z

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=2026-08-11T12:19:13.371506Z digest=sha256:9311035a0ffdda54c92bb4393ab5a9a2ad1da3bd5ddf92723c91e676c52e2018

Observation f1450459-3e97-4766-8e4c-a46db83a0d93 · outbound

This paper cites Attention Is All You Need.

Clinical Trials Ontology Engineering with Large Language Models Attention Is All You Need

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:13.375923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:13.375923Z digest=sha256:ed2c4503682dbba4200e4e7561fcd006d626baa223bf66a5cd9809a7fe8eeee7

Pith citing papers

No inbound Pith citation observations are available.