Paper Citation Record · LEDGER

Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2111.00552.

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

pith.paper-citation-record.v1
2111.00552 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:29.933220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:33:29.067212Z

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 30321e7f-f1ca-43ca-b353-397626a5c5d1 · inbound

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs cites this paper.

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:33:29.072189Z

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.

Observation 701ec355-c83d-4a44-a034-63684c786d0b · inbound

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes cites this paper.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:29.933220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5f69ed-2c80-46e3-b39d-11e9649ee6c5 · inbound

A Survey of Reinforcement Learning For Economics cites this paper.

A Survey of Reinforcement Learning For Economics Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T18:34:53.495337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df579007-b292-45df-b016-df5ca0b64753 · inbound

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning cites this paper.

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T21:49:05.148370Z

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.

Observation d1be1882-45b9-43a8-97cb-c3cc5f78b772 · inbound

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints cites this paper.

Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T21:39:03.454185Z

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.

Observation 9625699f-beee-46a9-b5c6-3faa14b1200a · inbound

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning cites this paper.

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:40.155044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.