Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Impact of Code Language Models on Automated Program Repair
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.05020.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:30:06.770392Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T04:48:54.218256Z
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 52af1a6e-2121-430d-a47c-0b8f3c53b5c5 · inbound
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Impact of Code Language Models on Automated Program Repair
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.014273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation edc28b95-c99e-4e36-8835-7cbfe3650336 · inbound
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors cites this paper.
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors Impact of Code Language Models on Automated Program Repair
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:48:54.222066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 221f190f-7459-432c-adb8-7bd455ea895f · inbound
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Impact of Code Language Models on Automated Program Repair
Reference 72
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:34:43.046895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 48a96e83-8497-4472-b6c1-93a31b65a1bc · inbound
Insights into resource utilization of code small language models serving with runtime engines and execution providers cites this paper.
Insights into resource utilization of code small language models serving with runtime engines and execution providers Impact of Code Language Models on Automated Program Repair
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:30:06.770392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4546af62-288e-4803-a79f-764d74d0ae2a · inbound
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation cites this paper.
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Impact of Code Language Models on Automated Program Repair
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:21:37.745220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.