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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:14:04.463426Z

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.

source=pdf_text observed=2026-08-11T21:39:11.955651Z digest=sha256:f6f7c241ab0106cda22e32973f41696c259f611000e83f61e4ea9755a394edc0

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.

source=arxiv_source observed=2026-08-11T17:33:37.645535Z digest=sha256:1905bbec80c82fb005aba08870d8872bd6796ecab2f89b93583d87e875a72670

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.

source=pdf_text observed=2026-08-10T20:37:04.127976Z digest=sha256:96a8d96d99fc623fa456d1887d2def4dbad0ee0063539b4eb64e65c4c98ac7f7

Observation 02bf1ca1-c72f-4a6d-b15c-e872d9407c2c · inbound

Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars cites this paper.

Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T23:14:04.463426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:14:04.463426Z digest=sha256:a470657ee9981bb6ba60a53276a248d4582a9b4838f0d0b9082e71bc3b07231b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T19:40:42.789401Z digest=sha256:48092c7f04cd371502a5d10d5fd0520ea9cd4da536d3ee8abb19324289c80a9e