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Paper Citation Record · LEDGER

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.11700.

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

pith.paper-citation-record.v1
2306.11700 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:40:45.589096Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:40:27.192976Z

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 e7dc5fbf-0b77-45e9-bc34-8fb93dbf9c2d · inbound

Operator Splitting for Convex Constrained Markov Decision Processes cites this paper.

Operator Splitting for Convex Constrained Markov Decision Processes Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T12:40:45.589096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:40:45.589096Z digest=sha256:4fa4cea5b45ddb3728879395ef510d8aea3afd512d8ee79fc2345f4ccc09c54c

Observation dfc9da6f-50f7-4f59-9b1c-dfd2cf955bd6 · 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 Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:40:27.195127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T13:36:59.355147Z digest=sha256:5e23091e40c7d26e07e62d4fdcee1c4ccfc6b3929370a352ad6cf56d4ae20b5e