Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1511.05942.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:36:40.018425Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:26:59.662043Z
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 6453a659-1f74-4a75-b9b2-fc57c8db5914 · inbound
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model cites this paper.
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:36:40.018425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0749e5ee-3154-4e4b-aeb2-676a8ef36a6f · inbound
Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models cites this paper.
Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:22:59.392815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef60e1ab-b1a6-4e72-8667-991c07cfcef7 · inbound
Representation Before Training: A Fixed-Budget Benchmark for Generative Medical Event Models cites this paper.
Representation Before Training: A Fixed-Budget Benchmark for Generative Medical Event Models Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:26:15.405812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.