Paper Citation Record · LEDGER

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.05953.

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

pith.paper-citation-record.v1
2506.05953 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:29.954534Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy2
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1af85dc5-728c-4ef0-b73e-d409453afb69 · outbound

This paper cites Continuous control with deep reinforcement learning.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Continuous control with deep reinforcement learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:29.928004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a224fb8b-1410-48fe-9a42-989f10280e04 · outbound

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

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:29.937676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6091738d-e883-4ec0-96d1-66569de17fed · outbound

This paper cites an unresolved cited work.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:21:30.156809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65f17fcb-8643-478e-b787-55678502f56e · outbound

This paper cites an unresolved cited work.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:21:30.226107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c0e0e6c-6364-41b6-b6ab-16f999295e79 · outbound

This paper cites an unresolved cited work.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Unresolved cited work

Reference 2002

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:21:30.184116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3bff57d4-77ba-4980-b962-88df74cf03af · outbound

This paper cites an unresolved cited work.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Unresolved cited work

Reference 2006

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:21:30.197055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e3dabbf-8f89-4c53-80c7-b30bff4f7e6c · outbound

This paper cites Policy Gradient in Partially Observable Environments: Approximation and Convergence.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Policy Gradient in Partially Observable Environments: Approximation and Convergence

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:29.414918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7531016-6d4f-4552-8e16-26323277461b · outbound

This paper cites Journal of Optimization Theory and Applications 153, 688–708.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Journal of Optimization Theory and Applications 153, 688–708

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:30.240836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4271e805-bac3-4047-b529-7c02f71a29ea · outbound

This paper cites Safe Exploration in Continuous Action Spaces.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Safe Exploration in Continuous Action Spaces

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:29.646248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23eb6839-ec15-461b-983d-65b88833db7d · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) 33, 8378–8390.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Advances in Neural Information Processing Systems (NeurIPS) 33, 8378–8390

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:29.828608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Policy Optimization for Constrained MDPs with Provable Fast Global Convergence.

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 0dee27c5-8433-4924-9ad7-512cb59a7cf7 · outbound

This paper cites an unresolved cited work.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:21:30.170599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d26c38f-73b2-439c-9214-e1e4b74089e0 · outbound

This paper cites 11506–11533.

Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes 11506–11533

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:30.211143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.