Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.04070.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:01.871928Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T16:17:55.122651Z
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 2349b0ae-fef7-4eb9-9a5e-cdfef922c2cf · inbound
Modular Speaker Architecture: A Framework for Sustaining Responsibility and Contextual Integrity in Multi-Agent AI Communication cites this paper.
Modular Speaker Architecture: A Framework for Sustaining Responsibility and Contextual Integrity in Multi-Agent AI Communication Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:56:01.871928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbd92790-325c-4c88-b8c7-d7de4af81c14 · inbound
Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement cites this paper.
Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:17:55.129820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.