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Chris Royse / leapable.ai

Evidence Map - methodology v0.1 - updated 2026-04-25

Evidence without a scoreboard.

A public map of what labs have disclosed about data, evals, provenance, and output receipts.

01

What it shows

Rows cover data provenance, derived-signal posture, output receipts, evaluation cooperation, and disclosure cadence.

02

What it avoids

There is no single rank, no hidden score, and no claim that public evidence equals internal practice.

03

How to correct it

Send better public evidence through the contact page. The methodology marks cooperated rows and links the disclosure at /governance#issuer-pays.

Founder explainer

Evidence only matters when it traces back.

Watch on YouTube· 12:19

Document analysis with provenance back to source files

Chris walks through a document-intelligence pipeline that extracts text, metadata, images, entities, and source locations before asking questions over the corpus. That same proof posture drives the evidence map: claims need source rows, dates, and traceable artifacts.

Watch videoOpen the full video on YouTube

Current ratings

Frontier Evidence Map rows with five methodology axes and source labels.
EntityModel familyTDPDSPORPIECDCSourceLast rated
AnthropicClaude 4.xBCDC+Bpublic-only2026-04-25
Google DeepMindGemini familyC+C+DCC+public-only2026-04-25
MetaLlama familyBCDCBpublic-only2026-04-25
OpenAIGPT familyCCFDCpublic-only2026-04-25
xAIGrok familyCDFDCpublic-only2026-04-25

Rows shown: 5. Methodology version is printed on each row in the source dataset.

Embed the Index

Static JSON is published from the same source dataset that renders this page. Partner embed code is scheduled for the next wire phase; v0.1 exposes stable dated rows and methodology links.

Have one context problem?

Send the audience, data type, target task, proof bar, and sharing limits. The first pass should stay bounded.