Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.12165.
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 2026-05-13T22:05:25.133535Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T22:08:20.735381Z
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 24bcba15-9e03-445b-9185-156c05acad75 · inbound
PHMForge: Evaluating LLM Agents on Industrial Prognostics through MCP-Native, Algorithm-Grounded Tools cites this paper.
PHMForge: Evaluating LLM Agents on Industrial Prognostics through MCP-Native, Algorithm-Grounded Tools Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:08:20.736656Z
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.
Observation 42843d5e-873b-47e6-92fd-549ce7134d7b · inbound
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs cites this paper.
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs Building AI Agents for Autonomous Clouds: Challenges and Design Principles
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:41:13.607466Z
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.