Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.11854.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:45:45.439047Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T03:12:28.770401Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b6439733-5280-432d-882c-c5d23bb9b936 · inbound
Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction cites this paper.
Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:45:45.439047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b5f9c3f-74c8-4e18-9f95-f9fa4d1172ee · inbound
FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.
FoNE: Precise Single-Token Number Embeddings via Fourier Features When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:12:28.772920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e1b50853-e204-44b5-864d-d581fed0823b · inbound
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment cites this paper.
LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:32:31.651069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.