Paper Citation Record · LEDGER

Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2101.05436.

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

pith.paper-citation-record.v1
2101.05436 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:01.325378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.780266Z

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 408f81f4-d12b-4dc5-a5c6-700b24d2b82f · inbound

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics cites this paper.

Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:01.325378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8f3c86-9749-477e-850e-3cb9fb8df3ae · inbound

Stochastic Neural Control Barrier Functions cites this paper.

Stochastic Neural Control Barrier Functions Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T22:29:59.543378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f41542e-2f9c-4b9d-8226-99b5eb7dd7ab · inbound

From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails cites this paper.

From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:44:22.059580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0a4c76be-6abe-4581-9a7d-23813e9cf49d · inbound

FORMULA: FORmation MPC with neUral barrier Learning for safety Assurance cites this paper.

FORMULA: FORmation MPC with neUral barrier Learning for safety Assurance Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:00:48.291241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0820f3c7-1149-448c-8dec-4ac36524116f · inbound

Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees cites this paper.

Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.585185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5411dafe-8e76-474e-b6e3-ef2944596952 · inbound

Stationary Robust Mean-Field Games under Model Mismatches cites this paper.

Stationary Robust Mean-Field Games under Model Mismatches Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

Reference 181

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:49:42.781772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.