Paper Citation Record · LEDGER

Measuring the Reliability of Reinforcement Learning Algorithms

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.05663.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1912.05663 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:24:18.579077Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T08:43:15.331093Z

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 661e17f2-5d64-4b2b-a7aa-02aabacb8ad9 · inbound

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent cites this paper.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Measuring the Reliability of Reinforcement Learning Algorithms

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:47.126595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbacacf-d7f0-4e2e-84d0-7a5398f0cb35 · inbound

Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics cites this paper.

Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics Measuring the Reliability of Reinforcement Learning Algorithms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:24:18.579077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339e7f89-55ec-4de5-a959-0e9b60b36113 · inbound

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity cites this paper.

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Measuring the Reliability of Reinforcement Learning Algorithms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:09.845886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018240d6-bb79-4b53-a23e-a436f655a5a6 · inbound

On Effectiveness and Efficiency of Agentic Tool-calling and RL Training cites this paper.

On Effectiveness and Efficiency of Agentic Tool-calling and RL Training Measuring the Reliability of Reinforcement Learning Algorithms

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:15.332447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.