Objective research vocabulary
Research Features
ResearchFeatureExtractor output over the verified CKB mainnet corpus. Every value is a deterministic measurement derived from stored evidence. Nothing here is scored, ranked, valued or classified.
Feature extraction run
Runs against the already verified blocks 0–99 corpus only. Raw evidence tables are never modified.
Cells analyzed
0
Live Cells
0
Consumed Cells
0
With type script
0
Non-empty data
0
Unique lock fingerprints
0
Unique type fingerprints
0
Capacity range (shannons)
—
Data size range
—
Manifest
—
Runtime
—
Failures
0
Capacity distribution
Occurrence counts by order of magnitude (shannons).
Data-size distribution
Occurrence counts by payload size band.
Creation-height distribution
Occurrence counts per 10-block band.
Lifetime distribution
Observed lifetime in blocks for consumed Cells only.
Lock script fingerprint frequency
Population 0 · dataset —
| Fingerprint | Occurrence count | Frequency |
|---|
Type script fingerprint frequency
Population 0 · "NONE" means no type script observed
| Fingerprint | Occurrence count | Frequency |
|---|
Feature records
Filter the objective feature set; no ordering by significance.
| Object id | Height | Capacity (shannons) | Data size | Type script | Lifecycle |
|---|
Features are derived from stored, RPC-verified evidence and are reproducible: the same extractor version over identical source data produces identical values and an identical feature hash. Occurrence counts and frequencies describe this dataset population only — a low occurrence count is not a claim of rarity, value or significance. Simulated BTC/ETH/LTC/DOGE/XMR research data is never mixed into these counts.