New WebMEM MapPointer spec links JSON-LD maps to YAML payloads with cryptographic integrity, ensuring AI systems recognize fact fragments as information — not code — and trust them as authentic.
— Prescott, Arizona — September 29, 2025 — David Bynon, creator of the WebMEM™ Protocol, today announced the release of the WebMEM MapPointer (WM-MP) specification, a new standard that defines how JSON-LD maps connect to YAML payloads for AI retrieval. The MapPointer spec provides a verifiable bridge between lightweight semantic markup and canonical fact payloads — something Schema.org and JSON-LD alone cannot accomplish.
The Visibility Problem
Today’s AI agents often misinterpret YAML fragments embedded in HTML. Without clear signaling, YAML-in-HTML looks like inert code blocks, not structured information. As a result, valuable fact payloads are overlooked, leaving retrieval systems to scrape noisy tables or rely on incomplete Schema.org metadata.
The MapPointer Solution
MapPointer fixes this by introducing a YamlFragmentPointer object in JSON-LD. Each pointer links directly to a YAML payload in the page, complete with:
– Fragment identity (fragmentId)
– Location (cssSelector or fragmentUrl)
– Content type (application/x-webmem+yaml)
– integrity metadata (sha256, dateModified)
With this bridge, agents can quickly discover, fetch, and verify fact payloads without confusing them for decorative code.
Why Integrity Matters
MapPointer also introduces integrity metadata. By publishing a canonical sha256 checksum, publishers give AI agents a way to confirm that the YAML payload they ingest is authentic and unchanged. If the computed checksum doesn’t match, agents can detect stale or altered data before it pollutes their memory.
“Schema tells AI what’s here,” said David Bynon, WebMEM Protocol Author. “MapPointer tells AI where the facts live, how to retrieve them, and how to trust them. Without MapPointer, YAML looks like noise. With MapPointer, it becomes verifiable machine memory.”
Beyond Schema.org
Schema.org and JSON-LD transformed how search engines read the web, but they were never designed for fragment-level retrieval or integrity validation. WebMEM MapPointer extends that foundation into what Bynon calls the memory layer of the web — where AI systems ingest, cache, and cite facts with provenance.
Availability
The WebMEM MapPointer Specification (WM-MP v1.0 Draft) is now available at:
webmem.com/specification/mappointer/
About WebMEM
WebMEM™ is an open protocol for publishing fragment-level, trust-scored memory surfaces in HTML. By embedding structured fragments with provenance and glossary alignment, WebMEM transforms web content into a machine-ingestible memory substrate for AI systems.
About David Bynon
David W. Bynon is a digital publisher, protocol designer, and the inventor of Memory-First Publishing. He has filed multiple patent applications covering structured AI memory and trust conditioning and is the author of the WebMEM Protocol.
For those who want a deeper dive into the visibility problem, checksum integrity, and why Schema.org alone isn’t enough, Bynon has published a detailed explainer on LinkedIn Pulse:
WebMEM MapPointer: Bridging Schema.org and AI Memory
Contact Info:
Name: David Bynon
Email: Send Email
Organization: David Bynon
Address: 101 W Goodwin St # 2487, Prescott, Arizona 86303, United States
Website: https://davidbynon.com
Source: PressCable
Release ID: 89171040
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