Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Studying and Benchmarking Large Language Models For Log Level Suggestion
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08499.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:16.552993Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:49:48.613544Z
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 61f5ba16-ede1-4d4b-8916-e333483f73e5 · inbound
Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation cites this paper.
Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation Studying and Benchmarking Large Language Models For Log Level Suggestion
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:02:16.552993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 409fe3d1-8f67-4e07-b682-aa352805d629 · inbound
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs cites this paper.
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs Studying and Benchmarking Large Language Models For Log Level Suggestion
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:49:48.614761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.