Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluation of ChatGPT Model for Vulnerability Detection
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.07232.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:44.358751Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:52:39.977745Z
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 3bf500e9-fcad-4780-92d1-c94b81be5ae1 · inbound
Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points cites this paper.
Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points Evaluation of ChatGPT Model for Vulnerability Detection
Reference 157
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:52:39.980173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 991c20e0-8993-40c1-b5f7-794dc69a079f · inbound
An Initial Exploration of Fine-tuning Small Language Models for Smart Contract Reentrancy Vulnerability Detection cites this paper.
An Initial Exploration of Fine-tuning Small Language Models for Smart Contract Reentrancy Vulnerability Detection Evaluation of ChatGPT Model for Vulnerability Detection
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:24:44.358751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc61c80-be9b-4462-a8f2-f3e0fdd7bdff · inbound
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis cites this paper.
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis Evaluation of ChatGPT Model for Vulnerability Detection
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:09.055205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c6b7d6e-2e75-42f3-988e-bfb76d2c769a · inbound
Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.
Large Language Models for Security Operations Centers: A Comprehensive Survey Evaluation of ChatGPT Model for Vulnerability Detection
Reference 256
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:32:21.563272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0793d5a-e6be-48d5-afb7-c5eef46aaac1 · inbound
QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing cites this paper.
QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing Evaluation of ChatGPT Model for Vulnerability Detection
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:03.489601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.