Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of Constraint Formulations in Safe Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.02025.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:07:20.946727Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T18:03:47.876016Z
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 63d80279-eab4-4b46-9c77-8c9549ea32b3 · inbound
Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms cites this paper.
Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:21:10.610357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 767f3ad2-b1a2-408c-a0ce-848dda4d1fba · inbound
A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems cites this paper.
A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:49:15.083871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0e71e40-0621-4489-bd8f-1eca630c09a9 · inbound
From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning cites this paper.
From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:49:05.129364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34839c64-92a4-4981-b39c-d2064ffd9e14 · inbound
Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints cites this paper.
Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:39:03.491422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 633b528b-47a3-434b-9bb6-8af44e840e21 · inbound
Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment cites this paper.
Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T18:03:47.877433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6dff0780-35bf-4f90-b4be-263e2439b5af · inbound
Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning cites this paper.
Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:15:40.588353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5c8db99-4b75-4016-aa4b-6512e73b5a51 · inbound
From Network Automation to Trustworthy Autonomous Networking in the LLM Era: A Network Control Intelligence Perspective cites this paper.
From Network Automation to Trustworthy Autonomous Networking in the LLM Era: A Network Control Intelligence Perspective A Survey of Constraint Formulations in Safe Reinforcement Learning
Reference 215
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:07:20.946727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.