Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing the Performance of Large Language Models on Code Summarization
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.08018.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:23:34.592437Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:05:55.537734Z
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 106ef279-2395-4f9a-9fe6-3fd45a1debc4 · inbound
Resource-Efficient & Effective Code Summarization cites this paper.
Resource-Efficient & Effective Code Summarization Analyzing the Performance of Large Language Models on Code Summarization
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:23:34.592437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4339f942-a926-408f-85f6-97e235e4def0 · inbound
Large Language Models for Fault Localization: An Empirical Study cites this paper.
Large Language Models for Fault Localization: An Empirical Study Analyzing the Performance of Large Language Models on Code Summarization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:26:04.588284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fd4e263-55b6-4b40-b9da-58db98057205 · inbound
Boosting Automatic Java-to-Cangjie Translation with Multi-Stage LLM Training and Error Repair cites this paper.
Boosting Automatic Java-to-Cangjie Translation with Multi-Stage LLM Training and Error Repair Analyzing the Performance of Large Language Models on Code Summarization
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:05:55.542543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.