Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent Memory
How a memory is worded decides which record an agent goes back and checks — and appending an id can cancel the wording that worked.
Sep 2026AI agent memory
Glasp Research
What millions of highlights reveal about how people read — and how AI agents handle inherited memory. Every paper ships with its reproducibility bundle.
How a memory is worded decides which record an agent goes back and checks — and appending an id can cancel the wording that worked.
Handed a stale memory, agents act on it three times out of four — and the error is allocation, not reasoning.
A provenance link that is available is not a link that gets read.
Machines can now recover 60% of the predictable part of crowd attention.
Language models agree with each other more than any of them agrees with human readers.
Scored fairly, a single human reader still edges out the best language model.
Reading identity is a durable trait: a six-month snapshot predicts you years later.
What a crowd will highlight on a brand-new page is predictable, and the win is in the long tail.
Readers form camps inside a document, but the camps do not travel with them.
Personalization lives in what you choose to read, not in where you highlight.
Within a page, people mostly highlight the same things.
Measuring AEO honestly means separating it from the platform's own growth.
Most research on highlighting comes from small lab studies. Glasp's platform captures how people highlight in the wild, at scale, across years. Publishing what we find, including the negative results, keeps our product decisions honest. Questions or collaboration ideas: [email protected].