Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Large Language Models Serve as Evaluators for Code Summarization?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.01333.
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 2026-08-06T13:17:42.262914Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T03:38:57.833957Z
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 d6813f7d-0b7f-4e78-8e46-f4d83a39b5ce · inbound
evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments cites this paper.
evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:17:42.262914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbca0308-c386-41ea-b3d0-3003a1157511 · inbound
Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.
Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:38:57.837063Z
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.
Observation 6c19b454-d264-47db-a20e-6d6c0a437ead · inbound
Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code cites this paper.
Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:09:52.817688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.