Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1709.06560.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:43:27.794855Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
366
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation b4b9ea1a-2cf5-4ec2-a603-c88bd4c641f5 · inbound
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Deep Reinforcement Learning that Matters
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4d1bfb09-22c5-4c4d-9d21-488274632bc0 · inbound
Soft Actor-Critic Algorithms and Applications Deep Reinforcement Learning that Matters
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ea5dab91-6196-4c2c-8df0-1b8cd61dfcf0 · inbound
Reproducibility in Machine Learning for Health Deep Reinforcement Learning that Matters
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a9eeaa5e-8e8c-4253-8604-2d5bf0bf0ae8 · inbound
Enhancing Reinforcement Learning in 3D Environments through Semantic Segmentation: A Case Study in ViZDoom Deep Reinforcement Learning that Matters
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75750cd0-2c0d-46aa-8205-b3d9a8f037e5 · inbound
Regimes of Scale in AI Meteorology Deep Reinforcement Learning that Matters
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02d3754b-0679-4dd9-8385-0dfd5b4748dd · inbound
Feedback-Normalized Developer Memory for Reinforcement-Learning Coding Agents: A Safety-Gated MCP Architecture Deep Reinforcement Learning that Matters
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42fd072f-03fe-4584-a842-ce4a5d844f3b · inbound
Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA Deep Reinforcement Learning that Matters
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e4590b28-abec-49b3-b43f-d28a15d96b44 · inbound
Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Deep Reinforcement Learning that Matters
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c6e3f277-1583-475f-9ee6-c12680adcf98 · inbound
Some Essential Constructive Foundations for Systems and Control Deep Reinforcement Learning that Matters
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.