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Paper Citation Record · LEDGER

Accuracy-based Curriculum Learning in Deep Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.09614.

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

pith.paper-citation-record.v1
1806.09614 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:41:34.578090Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T07:06:44.596500Z

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 7d6cf578-631c-4d71-849a-32e0cf78ae83 · inbound

Efficient Skill Discovery via Regret-Aware Optimization cites this paper.

Efficient Skill Discovery via Regret-Aware Optimization Accuracy-based Curriculum Learning in Deep Reinforcement Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T22:41:34.578090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:41:34.578090Z digest=sha256:e5ba6a28d0f4026067aae09c3b7073f251183a83d544f470bb69acce9aaba6e1

Observation 0d262074-7a51-49a2-a9f6-75fc09677e7c · inbound

Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees cites this paper.

Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees Accuracy-based Curriculum Learning in Deep Reinforcement Learning

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:06:44.597797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T07:07:30.760507Z digest=sha256:908e0bd918514ba1e027c5b80949dfa14c8934b5d407602a993a6eef40af205a