Pith. sign in

Paper Citation Record · LEDGER

Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12671.

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

pith.paper-citation-record.v1
2403.12671 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:29:12.987593Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T05:42:55.545693Z

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 9c5e4894-9dc4-4273-aeed-7b8873f89677 · inbound

Optimizing AI-Assisted Code Generation cites this paper.

Optimizing AI-Assisted Code Generation Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T15:29:12.987593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:29:12.987593Z digest=sha256:73b938114110654879d154b4e888c962483fedab4e22ef1b275409c4267478e2

Observation 8d66b082-12af-45ae-a4f8-c397914ebcab · 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 Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:42:55.552944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:42:55.020771Z digest=sha256:64321e00edda1d2f209e3097b45d0cec693a28db79a30eaf24082351dfb5f6a0