Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1805.12298.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:04:38.836400Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T08:49:42.747936Z
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 c85aec80-3401-46e5-a3e0-edbbcdfea887 · inbound
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 214
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:33:21.583455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22c0192b-9c1c-4cbf-a725-bdb8b0389629 · inbound
Treatment, evidence, imitation, and chat cites this paper.
Treatment, evidence, imitation, and chat Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:22:10.855492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22e4a638-523a-46ca-bf1f-f1a50b3792db · inbound
Pragmatic Policy Development via Interpretable Behavior Cloning cites this paper.
Pragmatic Policy Development via Interpretable Behavior Cloning Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:04:38.836400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 443f21f4-e2ed-4a34-81a7-0c1ba257ae11 · inbound
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression cites this paper.
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:26:22.334398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34d53b90-b855-42ad-bde2-7c6f50195ee7 · inbound
Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning cites this paper.
Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T20:12:54.889602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cdd0321d-a40a-404c-92da-52a0c69b6e62 · inbound
MedGym:A Unified Continuous-Time Benchmark for Dynamic Medical Treatment Reinforcement Learning cites this paper.
MedGym:A Unified Continuous-Time Benchmark for Dynamic Medical Treatment Reinforcement Learning Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T21:06:13.701308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b01709d8-0743-45a2-9610-4ebf2aa32f5f · inbound
Stationary Robust Mean-Field Games under Model Mismatches cites this paper.
Stationary Robust Mean-Field Games under Model Mismatches Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Reference 236
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T08:49:42.749139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.