Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.00288.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:19:26.367153Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation cf407ddd-6bd9-4496-bbce-cffcffa80531 · inbound
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit cites this paper.
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:19:26.367153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2015689-d3e7-450d-87c9-88146aa8a9c3 · inbound
An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models cites this paper.
An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T18:15:41.957118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aebc0996-6950-42ac-b130-e24b4ab33d7e · inbound
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:34:26.691891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.