Question derivations
36,000 have second-context AI mathematical and bilingual semantic review; 0 remain display/symbol-checked candidates.
OCME · Bilingual mathematics & derivations
About OCME
OCME (Open Chinese Mathematical Encyclopedia) publishes knowledge, teaching derivations, practice and evidence in Chinese and English. The name preserves its origins; the reading experience is bilingual.
- Bilingual question derivations
- 36,000
- Knowledge objects
- 302
- Concept guides
- 299
- Learning paths
- 59
Understanding verification states
Formal evidence
5 Lean evidence objects are linked to 4 knowledge objects; 298 objects have no linked formal evidence.
Read exact claims and Lean sourcesSource and review are separate
Source questions retain candidate and English retains ai_candidate. Second-context AI review is neither human review nor a whole-bank Lean proof. Finite checks support only their stated scope.
Public data & reading formats
HTML, Markdown and JSON use the same public sources. Search, filters, pagination and language changes retain URL state. Existing question numbers and derivation links remain valid.
Original mathematical data, formulas, ASTs, source snapshots and revision history are preserved. ISQL-M/SREG remain internal research and are not published in this website update.
AI / plain-text reading entry · Public site catalogue JSONCollaboration & publication principles
Content generation, bilingual checks, mathematical review, source adoption, formal proof and publication are separate steps. Evidence supports its exact stated claim; a website update does not promote Canonical truth.
CC BY-SA 4.0 · MIT · EveMissLab
Technical governance: R1–R7 & roles
Trust comes from visible scope, replayable procedures, preserved disagreement, and human retention of decision authority.
R1 · State and events
Preserve objects, claims, and transitions as verifiable events.
R2 · Materialization queue
Derive dependency-safe work batches from the Atlas.
R3 · Design / build / verify
Role outputs follow explicit contracts and do not modify Canonical state directly.
R4 · Mechanical trust
Bind test results to an exact candidate revision.
R5 · Risk and disagreement
Do not flatten high risk, correlated bias, or unresolved objections.
R6 · Real providers
Connect external models through credential boundaries and retain exact model versions.
R7 · High-order adjudication
Reserve for cross-domain integration and strict mathematical review.
Three layers of work without authority collapse
Daily lead architecture
Site, topic selection, research packets, MKOs, user-triggered batches, publication decisions, and cross-role integration.
High-order mathematical review
Frontier models may perform low-frequency whole-library rigor and architecture integration only after explicit discussion.
Batch question production
An approved fast model produces 100-question candidate batches only after the user starts a governed brief.