- Home
- Research skills
- Referencing and Citation Management
Referencing and Citation Management
Cite accurately in any style family, avoid the too-close paraphrase, and verify every reference against the actual source before you submit.
Free. Works on Claude, ChatGPT, Gemini or any assistant that accepts a skill file.
What this skill does
The method, encoded.
Referencing is taught as compliance and therefore learned badly, which produces four predictable failures: a reference list reconstructed in the final two days from memory and browser history; paraphrases that sit too close to the original, the commonest form of unintentional plagiarism; claims attributed to sources that make a different claim, because the citation was copied from another author's summary; and, increasingly, references that are perfectly formatted and entirely fictional.
This skill treats citation as what it actually is: a route from your claim to the evidence, so a reader can check it. From that one idea, most of the difficult decisions resolve. It covers the three style families (author-date, numeric and note-based) generically, with the instruction to ask which is required and to follow your institution's own guide wherever it differs from any general account. It covers quoting, paraphrasing and summarising and the different plagiarism risk in each, a procedural test for the too-close paraphrase, when a page number is required, why the original beats a secondary citation, and a two-way reconciliation of in-text citations against the reference list.
It is uncompromising on one point. A reference is never produced from memory or plausibility. AI-fabricated citations are a well-documented, career-damaging failure, and every reference must be verified against the actual source.
Best used for
- Setting up a citation practice at the start of a project
- Applying an unfamiliar required style consistently
- Deciding whether to quote, paraphrase or summarise
- Testing whether a paraphrase is too close to the original
- Handling sources encountered only inside other sources
- Reconciling in-text citations against a reference list before submission
- Checking whether references in an AI-assisted draft are real
Typical inputs
What you give it.
The required referencing style, and the institution's own guide where one exists, Sources that can actually be opened, The draft or passage to be checked, Optional marking criteria wording on referencing, Optional reference management tool already in use, Optional word count rules on whether quotations count
Typical outputs
What you get back.
Style declaration naming the governing guide, Source register with retrieval and verification status per source, Note record tagging each extract as quotation, paraphrase or summary, Formatted reference list with incomplete fields visibly flagged, Two-way reconciliation report of citations against the list, Paraphrase check log with actions taken, Secondary citation register, Fabrication audit confirming personal retrieval of every reference
Method coverage
What the skill works through.
- What a citation is actually for
- The three style families and how to tell which you are in
- Why your institution's guide beats every other authority
- Capturing references at the point of reading
- Verifying a reference against the source
- Quoting, paraphrasing and summarising, and their different risks
- The too-close paraphrase, and a test that catches it
- Page numbers and locators: when they are required
- Citing something you found inside another source
- Reconciling citations against the reference list
- Auditing an AI-assisted draft for fabricated references
Download
Free skill. One file.
Enter your email once. Every skill you download after that takes a single click.
How to install
Add the skill file and the five kernel protocols to a Claude Project, a ChatGPT Project, a Gemini Gem, or paste them at the top of any assistant conversation. Then give it your real research material, not a description of it.
Download skillQuestions
Common questions.
Which referencing style should I use?
The one your institution requires for this assessment, which you should ask about rather than infer. Programmes within a single department frequently differ. Once you know the style, follow your institution's own guide over any general account of it, including published style manuals: local guides routinely diverge on author lists, punctuation and electronic source formats, and markers apply the local version.
How close is too close when paraphrasing?
If any phrase of more than about three consecutive words matches the original, or if your sentence order mirrors the original's, it is too close, and a citation does not fix it. The reliable method is procedural: read until you understand the passage, close the source, write it from your own understanding, then reopen and compare. Technical terms should stay as they are; replacing them with near-synonyms introduces error.
Do I need a citation if I paraphrase rather than quote?
Yes. Quotation, paraphrase and summary all require a citation. The belief that only direct quotation needs one is the single most common misconception about plagiarism, and it produces uncited paraphrase, which is plagiarism.
When do I need a page number?
Always for a direct quotation. In practice also for any specific claim: a finding, a figure, a definition, a particular argument. Not when you are citing a whole work for its overall position. The test is whether a reader could find what you are pointing at without reading the entire source. For sources without pages, use whatever stable locator exists: a section, a paragraph number, a timestamp.
How do I cite a source I found quoted in another source?
Find and read the original if you possibly can, because the intermediary may have misread or compressed it, and because a reference list built on secondary citation shows how far the reading went. Where the original is genuinely unobtainable, use your style's "cited in" convention and list only what you actually read, or both, exactly as your guide specifies. Never cite the original as though you had read it.
Are AI-generated references real?
Frequently not. The characteristic fabrication has plausible authors who really do publish in the field, a real journal, a plausible year, and a title that sounds exactly like something that would exist, and no such article. It is detected by the simplest possible test: trying to open it. Never place a reference in a submitted document that you have not personally retrieved and opened, and never accept an assurance that a reference "appears genuine".
How do I check my reference list before submitting?
Two passes. Forward: every in-text citation has a matching list entry, with the same author spelling and year. Backward: every list entry is cited at least once in the text. Then check ordering and consistency, and spot-check entries against the actual documents, because reference managers import publisher metadata that is often wrong and cannot detect a reference that does not correspond to a real document.
Is it better to have more references?
No. A shorter list where every entry has been opened and says what you claim it says is stronger and safer work than a longer one containing entries nobody has checked. Markers increasingly open references as routine.
The skill chain
Works well with.
Research where people already are.
Analyse it where you already work.
Yazi helps researchers conduct surveys, AI interviews and longitudinal research directly through WhatsApp.
%202.png)
