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Paper Citation Record · LEDGER

Robust Constrained Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.06866.

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

pith.paper-citation-record.v1
2209.06866 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:27:42.254293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:03:30.892214Z

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 1df4ecea-cd46-421f-98dd-7165b08b020f · inbound

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form cites this paper.

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Robust Constrained Reinforcement Learning

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:03:30.895012Z

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=arxiv_source observed=2026-05-23T21:58:56.180393Z digest=sha256:e355766ca59ffee870f8de7be3036079ea0d26e6021c4a4088b14ab6bd31ba04

Observation af011cdb-4e83-4f46-af56-9400fcba9758 · inbound

Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees cites this paper.

Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees Robust Constrained Reinforcement Learning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:40:27.176165Z

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=2026-05-10T13:36:59.355147Z digest=sha256:21dbdffd28b8f96058faa156c44e9721265ff524f0863ac179f2a289dbbba44c

Observation 840bcb1f-cfb1-4b76-9202-9cb806b31959 · inbound

Robust Peak-cost Constrained Reinforcement Learning cites this paper.

Robust Peak-cost Constrained Reinforcement Learning Robust Constrained Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T23:27:42.254293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:27:42.254293Z digest=sha256:998e13dfdca19080b6d5a0e10029f1bb7c14fbee9065ce38fb956e61776592f6