Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1603.04119.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:30:29.235726Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-25T15:00:57.577796Z
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 580a771f-42a0-44ef-871b-78f5452940f6 · inbound
ORRB -- OpenAI Remote Rendering Backend cites this paper.
ORRB -- OpenAI Remote Rendering Backend Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T15:00:57.581192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ee39351-b897-47f1-996a-fdfacaf85eb4 · inbound
Improving Deep Reinforcement Learning in Minecraft with Action Advice cites this paper.
Improving Deep Reinforcement Learning in Minecraft with Action Advice Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:30:29.235726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db8f9bd8-549c-4b0b-a230-faf6802ae756 · inbound
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
Reference 103
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T06:38:36.822532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.