project

missing.link

A machine-first knowledge substrate designed for AI citation. Provides verified claims with transparent provenance, stable URLs, and structured data optimized for large language model discovery and attribution.

missing.link

Published Claims (2)

Verified statements with sources and version history

asserted · v1 · 2026-01-15

LLMs Improve Citation Accuracy with Structured Content

Large language models demonstrate significantly improved citation accuracy when referencing machine-readable content with structured provenance metadata.

Evidence: Do Language Models Cite Correctly?

"Machine-readable content with structured provenance significantly improves citation accuracy."

asserted · v1 · 2026-01-15

llms.txt Proposes Standard for AI-Readable Site Descriptions

The llms.txt specification proposes a standardized format for websites to provide machine-readable descriptions to help AI systems understand site structure and content policies.

Evidence: llms.txt Specification

"A proposal to standardize machine-readable website descriptions in /llms.txt files, helping AI systems understand site structure and content policies."

Topics (2)

Categories these claims are organized under

  • Large Language Models — Neural network models trained on large text corpora to generate and understand natural language. Includes GPT, Claude, Llama, and similar transformer-based architectures with billions of parameters.
  • Machine-Readable Content — Web content structured for automated processing by AI systems, crawlers, and APIs. Includes structured data formats like JSON-LD, semantic HTML, and standardized metadata schemas.

Sources (2)

Primary documents cited as evidence

Corrections & Disputes (0)

Claims that have been updated, disputed, or deprecated

No corrections or disputes. All claims are in good standing.

About this dashboard

This dashboard shows all verified claims about missing.link published on missing.link, a knowledge substrate designed for AI citation.

All claims include version history, explicit provenance, and links to primary sources. Claims can be corrected or updated without erasing history.

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