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Paper Citation Record · LEDGER

Hyperparameter Tuning for Deep Reinforcement Learning Applications

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.11182.

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

pith.paper-citation-record.v1
2201.11182 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:58.773430Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T05:45:00.785528Z

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 b8ad65a8-f03b-48cb-98ef-df405ef0036e · inbound

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners cites this paper.

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Hyperparameter Tuning for Deep Reinforcement Learning Applications

Reference 2019

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:45:00.793440Z

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.

source=pdf_text observed=2026-08-11T05:45:00.394591Z digest=sha256:eb3757ea819d39e21533fc402593fdb68066b79ff9e3e445b825dddde08cbdee

Observation 29cf7fcd-e6e3-4b57-913a-9b6bd5350c96 · inbound

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges cites this paper.

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Hyperparameter Tuning for Deep Reinforcement Learning Applications

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:58.773430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:58.773430Z digest=sha256:3392f12184bd8dee0af6abbcfeb8c4604bd812ea614f72d27472dbf8cc915f3c