Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:19:33.413935Z
Paper Citation Record · LEDGER
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare
As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2504.20921.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
Reference resolution
23 of 23 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 994733a6-57b2-4efe-acab-42df1df593cc · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.679764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3aff253e-a39f-4cfa-a291-33881de85a6c · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.669722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 32413a50-97c9-4ff0-befd-0b867bf59d67 · outbound
This paper cites Department of Health Human Services.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Department of Health Human Services
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.658153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9eff9f27-f3fc-48aa-83c4-fc4f30b69843 · outbound
This paper cites Regulation (eu) 2016/679 of the european parliament and of the council.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Regulation (eu) 2016/679 of the european parliament and of the council
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.646740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8ebd0d96-b7d4-4285-b48a-ab66a3f07946 · outbound
This paper cites J., Lu, M.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.635065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 80856cc4-ce44-4875-9c26-78e0a714ec3a · outbound
This paper cites The rise of synthetic data will boost ai performance.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare The rise of synthetic data will boost ai performance
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.624541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0d2f8c0c-eff8-4826-b56b-20c4648ac722 · outbound
This paper cites K., Lin, C.
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.613406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 32795186-455f-4ea5-a1b3-882991b0a68d · outbound
This paper cites & Van der Schaar, M.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare & Van der Schaar, M
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.602272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 105782ed-ad01-44cd-97bb-5e47cf4c8e73 · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.591595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 32131b03-9b73-4414-8cc3-297e5cde2e65 · outbound
This paper cites Language Models are Few-Shot Learners.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Language Models are Few-Shot Learners
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:19:33.363993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea253fff-156c-4cc3-86b8-0b862b798620 · outbound
This paper cites & McDonell, K.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.580744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0518fc70-0e06-415f-98ce-6dc2b617677b · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.570578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8a10fa23-311b-4a3b-9ee8-ba01b474c986 · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.560438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 029999f8-06b0-4b3b-a4f7-fe16c53c9a63 · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:19:33.378182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41144ad6-f4fa-465c-96f9-ae386ea4aa4d · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:19:33.382191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9b870d9-d367-4ee0-bee5-0b43b9a7ac1f · outbound
This paper cites & Cho, S.
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.542827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 81fc1def-ae14-4058-bbf0-d2daad495d8b · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.532322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b5c8ee3a-333d-472c-a9a6-941302c3af25 · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.521130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12a8f50d-6761-4f3d-9afe-099b62d7e301 · outbound
This paper cites an unresolved cited work.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:19:33.510271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fbdaf30a-00a9-4711-8f41-cbe256213dd0 · outbound
This paper cites C., Booth, S., Matari´c, M.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare C., Booth, S., Matari´c, M
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.499192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2afd2a74-92d6-49c8-92b3-299a47ac2397 · outbound
This paper cites D., Martani, A., Shaw, D., Elger, B.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare D., Martani, A., Shaw, D., Elger, B
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.487367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1cc384f8-df9b-45c6-af70-6904dc0cd238 · outbound
This paper cites Synthetic Data in Healthcare.
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare Synthetic Data in Healthcare
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:19:33.410022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f961246-a963-4830-ac3a-d4bc5b890e75 · outbound
This paper cites & Cook, D.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:19:33.475630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.