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Research · Official source ledger

Official source ledger for machine intelligence and agentic AI

Every time-sensitive factual statement should be traceable to a named source, version or publication date, reviewed date, and use boundary. The ledger makes those dependencies visible and separates official material from strategy reports and company evidence.

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What is the LongTermIntelligence.com official source ledger?

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It is a reviewed registry of primary sources used to support factual orientation on AI risk management, management systems, agentic security, interoperability, telemetry, law and policy, search guidance, and crawler discovery. It records source status and use boundaries so retrieval systems and human reviewers can distinguish official facts from interpretation.

  • Use canonical public pages for the site’s guidance and the ledger for provenance.
  • Use the corrections register when a source supersedes or changes earlier material.
  • Do not treat an official source citation as proof that LongTermIntelligence.com is certified, compliant, secure, or endorsed.

Source basis: reviewed official references are listed on this page and in the source ledger. Interpretation and implementation guidance retain the stated assurance boundary.

Evidence hierarchy

What to consult first

Source authority and relevance depend on the claim being made.

Claim typePreferred sourceRequired qualification
Framework definition or statusFramework owner such as NISTName version, publication date, revision status, and voluntary scope.
Standard requirementsStandards organization such as ISOSeparate standard text, explainer material, mapping, audit, and certification.
Security taxonomyTaxonomy owner such as OWASPName release and treat the list as threat guidance, not assurance.
Protocol behaviorProtocol specification and architecture documentationName protocol version and distinguish interoperability from governance.
Telemetry fieldsSpecification or official project documentationRecord convention stability and instrumentation version.
Law or government policyRegulator, legislature, or issuing authorityState jurisdiction, role, scope, effective date, and legal-advice boundary.
Search or crawler behaviorSearch engine or service ownerAvoid guarantees; behavior, tools, and reporting can change.
Company outcomeApproved first-party evidenceA third-party standard cannot substitute for a verified client result.

Primary-source basis

Official source ledger

Each record includes publisher, source type, status, reviewed date, summary, and use boundary.

National Institute of Standards and Technology · Official Framework Hub

NIST AI Risk Management Framework

NIST's voluntary framework for incorporating trustworthiness considerations into the design, development, use, and evaluation of AI systems.

Status
Current With Revision Underway
Published
2023-01-26
Reviewed
2026-08-01

Use boundary: Use as risk-management guidance; do not describe alignment as certification or legal compliance.

Open official source

National Institute of Standards and Technology · Official Framework

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

The AI RMF 1.0 core framework organizes voluntary AI risk-management outcomes around Govern, Map, Measure, and Manage.

Status
Current Version Under Revision
Published
2023-01-26
Reviewed
2026-08-01

Use boundary: Verify the NIST revision status before describing 1.0 as the latest stable framework.

Open official source

National Institute of Standards and Technology · Official Profile

NIST AI 600-1: Generative AI Profile

A cross-sectoral companion profile for applying the AI RMF to risks that are distinctive to or intensified by generative AI.

Status
Current
Published
2024-07-26
Reviewed
2026-08-01

Use boundary: Use as a companion profile, not as proof that an implementation is compliant or safe.

Open official source

National Institute of Standards and Technology · Official Playbook

NIST AI RMF Playbook

Suggested actions for achieving AI RMF Core outcomes, organized around Govern, Map, Measure, and Manage.

Status
Current Pending Framework Revision
Published
2023-03-30
Reviewed
2026-08-01

Use boundary: NIST states that the Playbook is not a checklist to be followed in its entirety.

Open official source

National Institute of Standards and Technology · Official Resource Center

NIST AI Resource Center

NIST's resource center for the AI RMF, profiles, crosswalks, playbook material, use cases, and revision notices.

Status
Current
Reviewed
2026-08-01

Use boundary: Use this hub to confirm freshness before publishing time-sensitive NIST statements.

Open official source

International Organization for Standardization · Official Standard Page

ISO/IEC 42001:2023 — AI management systems

Requirements and guidance for establishing, implementing, maintaining, and continually improving an AI management system within an organization.

Status
Current
Published
2023-12
Reviewed
2026-08-01

Use boundary: Do not claim certification unless an accredited audit and certification process has been completed.

Open official source

International Organization for Standardization · Official Explainer

ISO 42001 explained

An official overview of ISO/IEC 42001 requirements, including leadership, policy, objectives, risk management, data governance, lifecycle controls, monitoring, and continual improvement.

Status
Current
Reviewed
2026-08-01

Use boundary: Use for plain-language orientation; consult the standard and qualified assurance professionals for formal implementation decisions.

Open official source

International Organization for Standardization · Official Standard Page

ISO/IEC 42006:2025 — bodies providing audit and certification of AI management systems

Requirements intended to support consistent and credible audit and certification of AI management systems against ISO/IEC 42001.

Status
Current
Published
2025
Reviewed
2026-08-01

Use boundary: This standard concerns certification bodies; it is not itself an organizational certification.

Open official source

OWASP GenAI Security Project · Official Security Taxonomy

OWASP Top 10 for Agentic Applications

A community-developed taxonomy covering ten major agentic application risk areas, from goal hijacking and tool misuse through memory poisoning, cascading failures, and rogue agents.

Status
Current
Published
2025-12-09
Reviewed
2026-08-01

Use boundary: Use as a threat-oriented taxonomy and mitigation aid, not as a certification or guarantee of security.

Open official source

OWASP Foundation · Official Project Hub

OWASP GenAI Security Project

Official project hub for OWASP GenAI and agentic security resources, initiatives, guidance, and updates.

Status
Current
Reviewed
2026-08-01

Use boundary: Confirm the latest project documents and versions before using specific taxonomy labels.

Open official source

Model Context Protocol · Official Protocol Specification

Model Context Protocol Specification — 2026-07-28

The reviewed MCP specification defines an open protocol for connecting language-model applications with contextual resources, prompts, and tools through host, client, and server roles.

Status
Current Reviewed Version
Published
2026-07-28
Reviewed
2026-08-01

Use boundary: MCP is an interoperability protocol, not a complete agentic control plane, governance program, or security guarantee.

Open official source

Model Context Protocol · Official Protocol Guide

Model Context Protocol architecture

Official architectural orientation for MCP components and message flows.

Status
Current
Reviewed
2026-08-01

Use boundary: Treat implementation and security controls as separate design responsibilities.

Open official source

OpenTelemetry · Official Technical Guide

Inside the LLM Call: GenAI Observability with OpenTelemetry

An official explanation of how OpenTelemetry can represent model calls, token use, optional content capture, tool calls, and tool results for GenAI observability.

Status
Current
Published
2026
Reviewed
2026-08-01

Use boundary: Telemetry enables investigation and measurement; it does not by itself evaluate correctness, enforce policy, or provide compliance.

Open official source

OpenTelemetry · Official Specification Hub

OpenTelemetry semantic conventions for generative AI systems

Official semantic-convention material for interoperable telemetry describing generative AI operations.

Status
Evolving
Reviewed
2026-08-01

Use boundary: Record the exact convention version implemented because names and stability levels can evolve.

Open official source

European Commission · Official Regulatory Overview

EU AI Act regulatory framework overview

The European Commission's overview of the AI Act, its risk-based framework, application stages, and implementation resources.

Status
Current
Reviewed
2026-08-01

Use boundary: This is general information, not legal advice; confirm which obligations and dates apply to a specific system and role.

Open official source

European Commission · Official Regulatory Update

AI Omnibus enters into force

The Commission's July 2026 update on the AI Omnibus and amended timing for parts of the AI Act implementation timetable.

Status
Current
Published
2026-07-27
Reviewed
2026-08-01

Use boundary: Use the amended dates rather than older summaries; obtain legal advice for application to a specific organization or system.

Open official source

Executive Office of the President, Office of Management and Budget · Official Federal Policy

OMB Memorandum M-25-21

Federal agency guidance issued April 3, 2025, that rescinds and replaces OMB Memorandum M-24-10 and establishes requirements for agency AI innovation, governance, transparency, and high-impact AI risk management.

Status
Current
Published
2025-04-03
Reviewed
2026-08-01

Use boundary: Applies to covered federal agency use; it is not a universal private-sector compliance standard.

Open official source

Google Search Central · Official Search Guidance

Optimizing your website for generative AI features on Google Search

Google's official guidance says generative AI visibility remains grounded in core SEO, crawlability, valuable people-first content, and clear technical structure; special AI-only files are not required for Google Search.

Status
Current
Published
2026-05-15
Reviewed
2026-08-01

Use boundary: No technical implementation can guarantee crawling, indexing, rankings, AI citations, or inclusion in generated responses.

Open official source

Google Search Central · Official Search Guidance

AI features and your website

Google states that standard SEO practices remain relevant and that there are no additional requirements or special optimizations for appearing in AI Overviews or AI Mode.

Status
Current
Reviewed
2026-08-01

Use boundary: Structured data must correspond to visible content; eligibility and display are not guaranteed.

Open official source

OpenAI · Official Crawler Documentation

OpenAI crawlers

Official documentation describing OpenAI crawler identities and their purposes, including search discovery and user-initiated retrieval.

Status
Current
Reviewed
2026-08-01

Use boundary: Site owners control crawler access through robots.txt; access does not guarantee citation or inclusion.

Open official source

Microsoft Bing · Official Search Documentation

AI Performance in Bing Webmaster Tools

Official Bing Webmaster Tools guidance for reviewing how content appears in AI-powered Bing experiences when the reporting feature is available.

Status
Current
Reviewed
2026-08-01

Use boundary: Measurement availability and reporting fields may vary by account and product rollout.

Open official source

IndexNow · Official Indexing Protocol

IndexNow protocol

A protocol for notifying participating search engines when URLs are added, updated, or deleted.

Status
Current
Reviewed
2026-08-01

Use boundary: Submission signals a change; it does not guarantee crawling, indexing, ranking, or display.

Open official source

Official-source citations establish provenance and scope. They do not establish LongTermIntelligence.com certification, endorsement, legal advice, client outcomes, or a guarantee that a control is effective.

Machine-readable provenance

Use the reference and correction registries

The JSON records can be reviewed independently of the rendered pages.

JSON

Official reference registry

All official references, topics, summaries, status, review dates, and use boundaries.

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JSON

Corrections registry

Recorded corrections and clarifications with affected sources and official references.

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CSV

Source verification register

Editable CSV for reviewing claims before publication.

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Templates are planning aids. They are not certifications, legal advice, security guarantees, or substitutes for client-specific validation.

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