Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:17:00.813671Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.10261.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:17:00.813671Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
23 of 23 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 143d5786-922f-4504-81f2-6f585129f95c · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 1
Source-reported events for the cited work
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Observation 2e5df69b-1961-4f92-9fa8-09e72ce5e94a · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine M., Ohno-Machado, L
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25f7faff-0ae3-43a8-9834-913bbb1b2390 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7bc8904e-f631-4496-872f-208582da5671 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01d3e9bd-5f9d-4849-bf90-0ee836c68ad5 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Language Models are Few-Shot Learners
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecae6a04-7ce4-43df-9a78-d000348cea97 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine GPT-4 Technical Report
Reference 6
Source-reported events for the cited work
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Observation 72e88aa5-7bb7-4eb6-8859-1992c0e66dfe · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine OpenAI o1 System Card
Reference 7
Source-reported events for the cited work
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Observation eb64c07e-8e00-4b60-b403-29547acfb076 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 8
Source-reported events for the cited work
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Observation 44faf304-2f77-4ea5-a75d-5bc30b617f8f · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 9
Source-reported events for the cited work
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Observation c2b32396-9181-4c4f-90c9-60545ad69860 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 07f00526-c46f-4eed-ac28-b9ef2536e55b · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 445b0cbd-2883-47f1-90f6-3f9e4da0c768 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine & Melville, J
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa07d11f-c3ff-47ed-96d6-f032f9487a17 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81b60f52-7f49-4f4b-a903-9715fca96196 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e20f7542-27a8-4397-8b06-285a7bd62f9f · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e945a7ab-e963-43d0-adf7-93755e21898d · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 250473b7-e4f5-4c24-8632-59c20fb751f7 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b5062dc1-6edc-4b10-b2c2-784e630fca13 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Gemini 2.5: Our most intelligent AI model
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4874f177-25ef-4e5a-9049-9fc8454896af · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine https://openai.com/index/o3-o4-mini-system-card/
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5738bf46-2760-4694-bbc2-009b7d73bc14 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2d35602d-ef19-43eb-86ab-d538023eb9e9 · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine Unresolved cited work
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b93e5e71-020f-44c1-a110-61615f22a1a0 · outbound
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4fb7a39a-02be-4d70-90ba-456139d1b32c · outbound
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine GPT-4o System Card
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.