Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14151.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T14:18:02.880239Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 05e40a0c-1aab-4e82-8335-dc99b16a3a0a · inbound
Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production cites this paper.
Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T14:50:30.209009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca8f7977-1004-49ea-bcc0-f96369c494d6 · inbound
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings cites this paper.
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:26:23.232896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.