Paper Citation Record · LEDGER

Constrained Reinforcement Learning with Smoothed Log Barrier Function

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.14508.

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

pith.paper-citation-record.v1
2403.14508 v1

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:07:09.385071Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:41:53.890373Z

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 d55bf51f-2cc4-4f0f-8774-b0fda9159b60 · inbound

Central Path Proximal Policy Optimization cites this paper.

Central Path Proximal Policy Optimization Constrained Reinforcement Learning with Smoothed Log Barrier Function

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:09.385071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a2d6e7-e460-4d72-858d-f24dd3f8a0a7 · inbound

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions cites this paper.

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Constrained Reinforcement Learning with Smoothed Log Barrier Function

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:41:53.894080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b69288b-54df-4c5c-8a1f-cb8f9293a4ad · inbound

CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning cites this paper.

CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning Constrained Reinforcement Learning with Smoothed Log Barrier Function

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:11:18.833400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c44fed68-873e-4483-a318-34f7ab5d875f · inbound

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants cites this paper.

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants Constrained Reinforcement Learning with Smoothed Log Barrier Function

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:31:29.659093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 656f01e4-20d2-485d-b238-fc7b38908248 · inbound

Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation cites this paper.

Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation Constrained Reinforcement Learning with Smoothed Log Barrier Function

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:05.169423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.