Skip to Content
SkillsFormat References in APA 7th (CNE examples)

Format References in APA 7th (CNE examples)

Category: research
Workflow Stage: present
Author: AI Research Skills Contributors
Last Updated: 2026-01-11

Tags: citation, reference, apa, formatting, bibliography

Format References in APA 7th (CNE examples)

Overview

This skill provides ready-to-test examples for formatting non-English (CJK) references in APA 7th, using the CNE (Cite Non-English) conventions:

  • Romanization + English translation in brackets
  • No original-script output in APA (in this CNE variant)

This is designed for:

  1. learning the formatting rules, and
  2. benchmarking/evaluating an AI workflow against fixed expected outputs (no AI calls required for the demo).

When to Use

  • You want APA 7 citations for non-English sources with romanization + translation.
  • You want a stable test set (“fixtures”) + gold outputs to evaluate formatting quality.

Interactive demo (fixtures + expected output)

Reproduce locally (benchmark + fixtures)
Dataset: citation/apa-7th-cne.en-US
Fixture file: benchmarks/citation/apa-7th-cne.en-US.json
Report file: benchmarks/reports/citation-apa-7th-cne.en-US.json
Run with core CLI:
# In ai-research-skills-core
# Note: pass the dataset filename (with .json)
npx tsx packages/cli/bin/run.js bench run citation/apa-7th-cne.en-US.json \
  --benchmarks-dir /path/to/ai-research-skills/benchmarks \
  --output /path/to/ai-research-skills/benchmarks/reports
(Lazy-loaded to keep page fast)

Procedure (human / workflow)

  1. Collect minimal fields: author(s), year, title, container (journal/book), publisher, pages, URL.
  2. Decide whether to include translations and how to bracket them (APA CNE uses [English translation]).
  3. Format using your preferred toolchain:
    • Zotero with a CSL style, or
    • a citeproc pipeline, or
    • a controlled template for special cases.
  4. Validate against fixtures (if you need repeatability):
    • same inputs → same outputs
    • compare to gold outputs and record diffs

Notes

  • The fixture dataset is intentionally small and representative. Expand it as your evaluation needs grow.
Last updated on