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Paper Citation Record · LEDGER

Prompting Techniques for Secure Code Generation: A Systematic Investigation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.07064.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.07064 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:00:07.976593Z

measured 0 of 1 external citation measurements

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 7ae9b429-d873-44ae-a469-c460d4b59319 · inbound

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems cites this paper.

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems Prompting Techniques for Secure Code Generation: A Systematic Investigation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T10:14:22.234416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:14:22.234416Z digest=sha256:852c80d3e9b29667da6395e19ce6af00edf192a84f124ac2cee2af38d5240e6f

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.

source=pdf_text observed=2026-08-08T17:00:30.480022Z digest=sha256:a63cab5ffc751a917e83f691c5bb0f600aa66b1b3bcb6db4a5731b86c99fd306

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.

source=pdf_text observed=2026-08-07T14:32:04.696817Z digest=sha256:6ae4887c789a5a545fce452b6895a61ce6f7411caad045b43964b638b4ca1b93

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.

source=pdf_text observed=2026-08-07T05:42:54.931250Z digest=sha256:f9cb787b16a353a7dab0a211bd9b210091a26bb8a257b175ee844d01b6f201f0

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.

source=pdf_text observed=2026-08-06T21:56:17.328324Z digest=sha256:5c1be1ec30cd8924fdb38d91d3a973b0989e758f5ca53474824df9986593357e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T21:24:10.211816Z digest=sha256:527a8df3f8fed9bb535b53da445a5e899d0863a892aa86274e6f343e464188e5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T20:48:19.988304Z digest=sha256:2890f750bc09ab91f48a0db22544270c1b383432c6dd5c746f3a6a66af20b136

Observation 33176de4-a6f0-4c6f-b7e6-27424973ee9f · inbound

Can AI Write Compliant Code, and to What Extent? Evaluating SOC 2 Compliance of Claude Fable 5, Claude Opus 4.8, and Claude Opus 5 Across Four Use Cases cites this paper.

Can AI Write Compliant Code, and to What Extent? Evaluating SOC 2 Compliance of Claude Fable 5, Claude Opus 4.8, and Claude Opus 5 Across Four Use Cases Prompting Techniques for Secure Code Generation: A Systematic Investigation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T04:17:02.629367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:17:02.629367Z digest=sha256:743829a14a274865edc157ee0abe3c65d7d0938def2d931b0407b7826c6211c5

Observation c21eaea6-6450-4e66-8b6d-5b95aecfc1e3 · inbound

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation cites this paper.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Prompting Techniques for Secure Code Generation: A Systematic Investigation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T14:00:07.976593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:00:07.976593Z digest=sha256:55c37507ff6091dfc449c014f1f4500c2177d098cafa38ad8e818c57fd898fac