Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.14296.
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 2026-08-06T10:26:17.973833Z
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
1
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 c0d42944-e952-4033-a903-fd4529d97e11 · inbound
How Quantization Impacts Privacy Risk on LLMs for Code? cites this paper.
How Quantization Impacts Privacy Risk on LLMs for Code? Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:26:17.973833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e94f03b7-3d85-4cad-8625-f13498ce400e · inbound
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
Reference 125
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:21:11.066329Z
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 1c6c4b08-950a-4774-8e53-0cfc6db1867f · inbound
Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications cites this paper.
Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:24:56.616101Z
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.