Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:56:50.778982Z
Paper Citation Record · LEDGER
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework
As of 19 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2502.04288.
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 2026-08-19T06:32:44.657259+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
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f00d5991-addb-4269-bfda-9f4b6e8f8024 · outbound
This paper cites In 2024 32nd Euromicro International Conference on Parallel, Dis- tributed and Network-Based Processing (PDP) , 277–284.
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework In 2024 32nd Euromicro International Conference on Parallel, Dis- tributed and Network-Based Processing (PDP) , 277–284
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T22:56:50.904122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ddef4f87-d77b-4b90-8aa4-12c1d1e957e7 · outbound
This paper cites In Proceedings of International Conference on Data Science and Applications: ICDSA 2022 , volume 1, 369–382.
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework In Proceedings of International Conference on Data Science and Applications: ICDSA 2022 , volume 1, 369–382
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T22:56:50.889120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3ce454e0-a1e6-40ff-a17c-4f58a9c31b3b · outbound
This paper cites Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T22:56:50.843574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e1fdc267-96ae-46d8-a9fe-760c7c7569cc · outbound
This paper cites MGH Radiology Llama: A Llama 3 70B Model for Radiology.
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework MGH Radiology Llama: A Llama 3 70B Model for Radiology
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T22:56:50.821487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 04dfe9e7-2e45-49e1-a0a9-391a3544e8c8 · outbound
This paper cites GPT-4 Technical Report.
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework GPT-4 Technical Report
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:56:50.752069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caa052ce-4596-4696-b0bf-72183890f327 · outbound
This paper cites The Llama 3 Herd of Models.
Leveraging Geolocation in Clinical Records to Improve Alzheimer's Disease Diagnosis Using DMV Framework The Llama 3 Herd of Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:56:50.758024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.