Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1901.04670.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T07:05:16.379996Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
45
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7d1dcfcd-1b96-40b3-8b14-9e4473fbf8b5 · inbound
The hidden risks of temporal resampling in clinical reinforcement learning cites this paper.
The hidden risks of temporal resampling in clinical reinforcement learning Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T07:07:29.250477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.