Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.12806.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:24:37.693241Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:46:37.085152Z
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 bfaaaa3f-c29e-43ae-9ad1-19321b473462 · inbound
CAIP: Detecting Router Misconfigurations with Context-Aware Iterative Prompting of LLMs cites this paper.
CAIP: Detecting Router Misconfigurations with Context-Aware Iterative Prompting of LLMs Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:24:37.693241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f9f0a3a-5694-4348-94d2-f882f32775c1 · inbound
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:24:00.042254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc21f34e-1693-4da9-9dbe-26e7048f9768 · inbound
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:46:37.088472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.