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Get Started Free →Use when positioning a manuscript against the existing economics literature, building the antecedents map for the introduction, deciding what to cite, or verifying that every reference in the bibliography is real, correctly attributed, and cited to the published version. Apply at topic selection for the novelty scan and again before drafting the introduction.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 25% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 66% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 123% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 150% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 94% | 0% |
This skill does two jobs that AER referees grade separately:
and missed, and choosing the value-added claim the paper can actually defend. A mispositioned paper draws the fatal report sentence "the authors appear unaware of paper]."
what the manuscript claims it says, and is cited to the right version.
The second job is non-negotiable for AI-assisted manuscripts. Language models produce plausible-looking citations that do not exist, attach real authors to invented titles, and attribute findings to papers that show the opposite. One hallucinated reference, found by a referee, destroys the credibility of every other sentence in the paper. The working rule:
> No citation is written from memory. Every entry is verified against a > fetched source before it enters the bibliography, and every claim about a > paper is verified against that paper's actual text.
aer-topic-selection, to run the novelty scan before committingaer-introduction, to build the antecedents paragraphaer-consistency)
Run all five channels — each finds papers the others miss:
live here for 2-4 years before publication; the novelty threat is almost always an unpublished working paper, not a published article.
on Y"), by method-in-setting, and by dataset name. Dataset search catches the most dangerous neighbor: someone using the same data.
who cited them since, sorted by recency.
family, ReStat, JEEA — last 3-5 years, scanning titles in the subfield.
Review of Economics surveys for the field's own map of itself.
Log every search (channel, query, date, hits) — the log answers the referee who asks "did you know about X?" and feeds the novelty audit in aer-topic-selection.
Reduce the search to the 3-6 closest papers and fill this table honestly — it is the skeleton of the introduction's antecedents paragraph and the evidence base for the contribution claim:
| Paper | Question | Data / setting | Identification | Headline finding | What it does not do | |---|---|---|---|---|---| | A (2019) | ... | ... | ... | ... | ... |
Rules:
introduction will say it in neutral language; referees include these authors.
defensible design, the contribution claim must change — return to aer-topic-selection rather than writing around the conflict.
early working papers often differ from the final result.
The value-added paragraph claims one primary move (plus at most two supporting ones):
| Move | Defensible when | |---|---| | New question | No antecedent asks it — and it matters that nobody has | | New identification | Antecedents are correlational or use a now-rejected design | | New data | Resolution, coverage, or linkage the literature lacked | | New mechanism | The why was open even though the whether was settled | | Opposite / corrected finding | A credibly identified sign flip or magnitude revision | | Unification | Two literatures explained by one framework or fact |
Match the claim to the map: a "new identification" claim dies instantly if row 3 of the antecedents table already used the same design.
AER: Insights far fewer. Padding is as suspicious as thinness.
and diagnostic (keys in docs/methods-reference.md, entries in references.bib); the source for every institutional fact and every benchmark magnitude used in Results.
stand-ins for the specific result being invoked; papers included only to flatter potential referees.
version of a 2021 AER paper signals a stale literature review. Cite a working paper only when it is genuinely unpublished — and re-check its status at submission time.
Run this pipeline for every reference. No step is skippable for entries the model "remembers."
Verify against an authoritative record: resolve the DOI (Crossref / doi.org), or match the exact title and author list on the journal page, RePEc, or the NBER/SSRN abstract page. A reference with no resolvable DOI and no locatable landing page does not go in the bibliography. Use a web search or fetch for every entry; if a Zotero or reference-manager connection is available, import from the verified record rather than typing fields.
Check, character by character, against the verified record: full author list and order, spelling and diacritics, year, exact title, journal, volume, issue, pages, DOI. The most common AI corruption modes: swapped coauthors, off-by-one years (working paper vs. publication), a real author pair attached to an invented title, and the wrong journal in the right family (AEJ: Applied vs. AEJ: Policy).
For every in-text sentence of the form "Author (year)] find/show/argue X," read at least the abstract — and the relevant table if a magnitude is quoted. The claim must match what the paper actually establishes, including sign, population, and design caveats. Misattribution to a real paper is more damaging than a fake one, because the referee may be its author.
Check that the paper has not been retracted or corrected, and whether a cited working paper has since been published (then cite the journal version). For replication-contested results, cite the dispute or choose a different benchmark.
Maintain a verification ledger alongside references.bib:
textKEY DOI-OK FIELDS-OK CLAIM-OK VERSION CHECKED goodman_bacon_2021 yes yes yes published 2026-06-12 hjort_poulsen_2019 yes yes yes published 2026-06-12
Any row that cannot reach all-yes is removed from the manuscript or explicitly flagged to the user as unverified. Never silently keep an unverified citation.
author_author_year lowercase(matching references.bib in this repository).
keys — aer-consistency runs this check as part of the full-manuscript audit.
verification is the assembly step, not a post-process
paper that scoops the contribution
discussion section
introduction's value-added contrast
Bundled with the installed skill, no repository checkout needed --- read it before the repo resources below:
references/citation-verification-protocol.md --- fetch-before-cite protocol, claim-audit table, BibTeX hygieneWhen working from the AER-skills repository or plugin bundle, load only the relevant resource:
docs/methods-reference.md and references.bib
examples/modern-aer-exemplars.md
examples/aer-exemplars.mdskills/aer-topic-selection/SKILL.md
textCLOSEST PAPERS MAPPED: <n> (target 3-6) SCOOP RISK: <none found / named paper + implication> POSITIONING MOVE: <new question | identification | data | mechanism | correction | unification> REFERENCES VERIFIED: <n>/<total> (existence / fields / claim / version) UNVERIFIED ENTRIES: <list, or "none — all verified"> NEXT SKILL: <aer-introduction | aer-topic-selection | aer-consistency>
standard; a fetched record is
claim uncontrasted
those sentences
Other measured skills in the registry, with their headline benchmark lift.