Source class
What kind of evidence is this?
Official standard, regulator note, company filing, measurement study, academic paper, public dataset, direct quote, or internal observation.
Source Ledger
The proof surface behind the read.
The Source Ledger shows readers what a claim rests on: source class, claim posture, uncertainty, forecast criteria, and reuse path. It turns analysis into a public record that can be checked later.
Source classClaim postureUncertaintyResolution criteriaReuse path
Claim posture
What kind of claim is being made?
Reported fact, interpretation, forecast, operator implication, reader question, or watch item.
Calibration path
How does this become checkable?
When the evidence supports it, the ledger produces a question, answer, resolution criteria, and check date.
Example ledger row
Post-quantum certificate gap.
| Source | Used for | Claim posture | Caveat |
|---|---|---|---|
| arXiv:2606.16473 | Measurement snapshot of post-quantum readiness. | Evidence input | Measurement snapshot rather than final consensus. |
| NIST finalized PQC standards | Standards context for migration pressure. | Official context | Supports readiness framing, separate from any organization-specific claim. |
| Cloudflare deployment context | Implementation example and ecosystem movement. | Company deployment context | Context rather than endorsement. |
Public proof track
Why the ledger matters.
- Readers can see the evidence behind a claim.
- Forecasts gain resolution criteria and check dates.
- Daily Digest items can graduate into durable signals.
- Articles can be updated without hiding the original claim posture.
Reusable structure
Ledger fields.
Source → Claim → Interpretation → Uncertainty → Forecast question → Answer → Check date → Update record.
This is the backbone for HN articles, Signal Atlas calibration, and plain-language Fast Now sibling pieces.
Research integrity
The ledger now connects to locked studies.
Formal HNI studies add protocol hashes, all-primary-outcome reporting, verification evidence receipts, AI-use disclosure, and null-result publication commitments.