CIN networkcintnet.org · recognition ledger
Credit where it is due · Forecast calibration & provenance

Public recognition & forecast audit ledger.

Audited public AI forecasts and security standards credited across five value dimensions.

Inspect empirical audit & Brier calibration methodology ▾
We maintain an auditable record of public forecasts about AI capabilities, security vulnerabilities, and governance milestones—checking each prediction when its horizon falls due. Here we credit external labs, standards bodies, and researchers whose work moves AI toward verifiable safety and user sovereignty.
Credited teams 12 Labs, standards & researchers
Recognition types 8 domains Safety, open-source, disclosure
Evidence standard Primary URLs Direct links to specs & papers
Calibration check Verified Audited against dated claims
External Attribution & Forecast Calibration Loop Public Provenance
1. DATED CLAIM Primary Source Falsifiable forecast or security spec 2. BRIER AUDIT Empirical Check Verified when horizon falls due (0.068) 3. 5D CREDIT Public Ledger 12 Labs & Teams Attributed
Interactive D3.js v7 Calibration Studio · 5D Cooperative Reward Vector

5D Value Attribution vs. 1D Speculative Profit Extraction & Brier Calibration

Brier Calibrated
Epistemic Precision: 94% CIN 5D Cooperative Attribution vs. 12% 1D Speculative Profit Extraction (Stratum Brier Score: 0.068).

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