Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompting Techniques for Secure Code Generation: A Systematic Investigation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.07064.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:00:30.480022Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T20:53:58.481361Z
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 6b4bbb02-05f1-4d65-a38b-885ee715680a · inbound
Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models cites this paper.
Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models Prompting Techniques for Secure Code Generation: A Systematic Investigation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:00:30.480022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3aec64e7-a861-409e-b623-8f2d121b099d · inbound
$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models cites this paper.
$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models Prompting Techniques for Secure Code Generation: A Systematic Investigation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:04.696817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35edb29a-4daf-4478-a599-a89916fbca75 · inbound
SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows cites this paper.
SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows Prompting Techniques for Secure Code Generation: A Systematic Investigation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:42:54.931250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76321b80-7bce-4802-ad99-becd12186589 · inbound
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation cites this paper.
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Prompting Techniques for Secure Code Generation: A Systematic Investigation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:56:17.328324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9e51d07-51f2-4f43-8f52-ce2441bf0618 · inbound
Constrained Code Generation with Discrete Diffusion cites this paper.
Constrained Code Generation with Discrete Diffusion Prompting Techniques for Secure Code Generation: A Systematic Investigation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T21:27:47.967442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d11f8fd0-3b00-4349-a315-93628067700f · inbound
A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions cites this paper.
A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions Prompting Techniques for Secure Code Generation: A Systematic Investigation
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T20:53:58.482866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.