Paper Citation Record · LEDGER

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.10682.

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

pith.paper-citation-record.v1
2105.10682 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:39:11.955651Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:36:06.081695Z

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 05999720-a7d4-4a56-9c5c-e66a0a6ebcc1 · inbound

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints cites this paper.

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:39:11.955651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d8aabc-e554-40fc-a42a-dc56489c2632 · inbound

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning cites this paper.

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:37.645535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e38fad77-df4c-4aef-baa5-1a414b832de5 · inbound

Continual Reinforcement Learning for Digital Twin Synchronization Optimization cites this paper.

Continual Reinforcement Learning for Digital Twin Synchronization Optimization Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T20:37:04.127976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f977dc62-1969-4f9d-bdb1-55cab4cd1a8e · inbound

Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning cites this paper.

Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:06.086148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.