There is a piece of information the actor needs to use. They did not write it, and they cannot see where it came from. Checking it properly means re-researching it, cost of which might be too big. Also, fluent wrong output is accepted exactly as readily as right output, because the surface gives nothing to tell them apart.
Forces
- Mark vs. follow. The mark works on trust whether or not it is followed.
- Document vs. passage. A pointer to a whole document is cheap to produce and expensive to use: the actor has to find the supporting sentence themselves, and citation links “offer little guidance about what evidence they contain”. A pointer to the passage is what makes the check short.
- Staying vs. leaving. Professional fact-checkers verify by leaving the page and reading laterally; hover cards and in-place excerpts keep the actor inside the answer.
- Coverage vs. correctness. Citing during generation buys precision and loses coverage; attaching citations afterwards covers more and supports less.
- Every claim vs. the claims that need it. Marking everything makes the marks noise; marking nothing leaves the contentious claim indistinguishable from the banal one.
Solution
Citation attaches a pointer to each claim — a marker, a chip, a footnote — that resolves to the material the claim rests on. Render the marker so it can be read at a glance, previewed without leaving the answer, and opened into the source at the cited span. Place the sources where the actor meets them before any explanation of the answer, since a convincing explanation lowers the chance they look. Where a claim has nothing to point at, say so.
Variants
Ordered by how far the pointer sits from the evidence.
Passage at the claim
The marker resolves to the exact span, highlighted in the source, with the quoted text previewed on hover. NotebookLM’s numbered markers open the document scrolled to the highlighted paragraph; Anthropic’s Citations API makes the span the unit of the contract — each claim carries the cited text and its character range in a named document. Adobe Acrobat’s inline highlights and Granola’s transcript quotations are the same form on PDFs and recordings. The cost of following is lowest here; the risk is premature convergence on one source.
Chip with popover
A domain chip at the end of the claim (“northjersey +3”), opening an anchored card with title, snippet, favicon, and 1/N paging where several sources back one claim. Perplexity and ChatGPT both use it. The “+N” collapses multiplicity without cluttering the prose; the snippet is scent, not the evidence.
Source panel
A favicon stack in the answer bar opening a sidebar that lists every source as a card while the answer stays in view. This is the overview of the evidence base, complementary to the inline marks; on its own it gives the actor nothing to follow from.
Source list
Full URLs listed after the answer, unanchored to any claim.
Letting the user select a passage and ask for its sources to be re-checked without re-running the request
The Reference component carries a source document and a character range per reference, which is the data shape the passage-at-the-claim variant needs.
Research on this pattern
- Citation marks raise trust in generated answers even when the citations are random or hallucinated, and trust falls when participants check them — an example of the authority heuristic.
- Following is rare: most participants never open a source, answer engines draw a fraction of the source engagement search engines do, links inside Google’s AI summaries are clicked on 1% of visits, and whether an actor verifies at all is set more by prior disposition than by the answer.
- Unfolding evidence in place deepened what readers took from sources, though it measured reading depth, not reliance. Separately, sources reduced overreliance where explanations increased it — the basis for placing sources before explanations in the solution.
Consequences
- each claim now has somewhere to look, so checking one claim costs a follow rather than a search — and a checkable claim is what a deliberate pause before acceptance needs in order to land on something
- the mark raises trust whether or not anyone follows it, and most actors don't: the sign of checkability gets read as the fact of having checked, including when the citation is irrelevant or wrong
- the characteristic failure is not a dead link but a real source that doesn't say what the claim says, so a pointer to a document under-specifies the check — the passage is what makes it checkable
- citing narrows what gets said: the system leans toward what it can point at, and stricter citing trades coverage for correctness
Resources & references
- Liu, Zhang & Liang (2023) Evaluating verifiability in generative search engines — citation recall and precision
- Narayanan Venkit et al. (2024) Search engines in an AI era: the false promise of factual and verifiable source-cited responses — participant study, design recommendations, citation accuracy
- Kim, Vaughan, Liao & Lombrozo (CHI 2025) Fostering appropriate reliance on large language models: the role of explanations, sources, and inconsistencies — sources reduce reliance on wrong answers, explanations raise reliance on both, and explanations reduce source-checking
- Li & Aral (2025) Human trust in AI search: a large-scale experiment — citations raise trust even when hallucinated; uncertainty highlighting lowers it
- Ding et al. (AAAI 2025) Citations and trust in LLM generated responses — random citations raise trust as much as relevant ones
- Kambhamettu, Hwang, Laban & Head (2025) Attribution gradients: incrementally unfolding citations for critical examination of attributed AI answers — excerpts, evidence amounts, and second-degree citations in place
- Seo et al. (2026) Verified misguidance: measuring structural citation failures in search-augmented LLMs
- Onweller et al. (2026) Cited but not verified: parsing and evaluating source attribution in LLM deep research agents — link validity against factual accuracy
- Yazan, Situmeang & Verberne (2026) The decision to verify — verification driven by prior disposition, not answer properties
- Magesh et al. (2024) Hallucination-free? Assessing the reliability of leading AI legal research tools
- Saxena et al. (2025) Generation-time vs. post-hoc citation — the coverage–correctness trade-off
- Redi, Fetahu, Morgan & Taraborelli (2019) Citation needed: a taxonomy and algorithmic assessment of Wikipedia’s verifiability
- Wineburg & McGrew (2019) Lateral reading and the nature of expertise — fact-checkers verify by leaving the page
- Sundar (2008) The MAIN model: a heuristic approach to understanding technology effects on credibility — the authority heuristic; why the mark works without the checking
- Wathen & Burkell (2001) Believe it or not: factors influencing credibility on the web
- Anthropic (2025) Citations on the Claude Platform — the span as the unit of the contract
- Shape of AI — Citations, AI UX Playground — Perplexity citations teardown, aiuxpatterns.com — Show Citations
Appears in
Calibrating reliance
- Making the output checkable, step 2 — Ground the claims
Related patterns
Precedes
- Cognitive forcing functions — each claim now has somewhere to look, so checking one claim costs a follow rather than a search — and a checkable claim is what a deliberate pause before acceptance needs in order to land on something
Enacts
- Agency — gives the actor a place to check each claim, so trust can be selective rather than all-or-nothing
Complements
- Transparent reasoning — the evidence for a claim versus the path that produced it
- Explanation — where it came from versus why the system said it — and an explanation the actor finds convincing reduces their inclination to open the sources beside it
- Expressed uncertainty — how sure it is versus where it came from
- Provenance marking — who made it versus where it came from
Related to
- Annotation — a citation is a system-authored mark anchored to the claim it supports, where annotation is the actor's own layer over content they can't change
- Text lens — a summary whose sentences point back into the long document lets the actor go deeper at the relevant passage instead of re-reading
- Prose — a citation is the hyperlink in its citation mode — the anchor names its target and the reader may follow it for verification
Preceded by
- Generated content — the generated output is the material a citation attaches pointers to
- Reference material — the output is anchored in named material, and can point back to it — the attachment that went in is what a citation can later point out
Enabled by
- Link preview — hover previews let a source be weighed without leaving the claim