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Paper Citation Record · LEDGER

DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.00885.

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

pith.paper-citation-record.v1
2112.00885 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:47.885604Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:35:53.447482Z

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 eff5fcfe-0b06-4347-bcf2-9688eb8b64b2 · inbound

An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints cites this paper.

An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:35:53.527372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:35:47.885604Z digest=sha256:ab2ab8e731ff46a6817bc07bb58808317ce5055fc1cecb5854364f9f3eb3d8a7

Observation 4c8a3749-18fd-421a-82cc-c787a6c54e92 · inbound

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents cites this paper.

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-13T10:33:19.825936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T10:33:19.825936Z digest=sha256:5f3fb4464d6fa8d91b502447f42e8543d0f83aaeadb8b8d3f883bc1d06807247