Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.11547.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:45:31.749992Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:15:39.603189Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 52005348-d56b-43ee-b26d-3cc7b7cc804f · inbound
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff41e1a0-f3d8-4e75-b5b0-4015fb3a88ce · inbound
A Generative Approach for Semantic Auditing of Electronic Health Records Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0939b216-abb3-4eac-9a58-27113995614a · inbound
CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f96098f3-8e63-4aae-a1d1-ccb6a5ec5b1b · inbound
Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.