Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.00260.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:19:09.230237Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T19:29:21.621421Z
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 3f75761d-a2b1-46fb-8592-5ef783c64fe5 · inbound
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch cites this paper.
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:19:09.230237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aba04cd-9a8c-4beb-aaf0-e641fb6a70f4 · inbound
Benchmarking Batch Deep Reinforcement Learning Algorithms cites this paper.
Benchmarking Batch Deep Reinforcement Learning Algorithms Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T19:29:21.625100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6b5b4348-cc1d-4e48-95ff-820d138ec647 · inbound
Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading cites this paper.
Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:44:13.937694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.