Corpus claims
Definitions for current, complete, verified, and evidence-backed.
Product ownerBlueprint · careervector.blueprint-graph/v5
Twenty composable top-level diagrams plus recursively nested 21×21 semantic layers. Nodes descend; boundary arrows cross to neighbours.
Cell 1.4 · governance · operations · evidence
Commercial promises are translated into enforceable corpus, provenance, publication, and customer obligations.
Definitions for current, complete, verified, and evidence-backed.
Product ownerAttribution, correction, takedown, suppression, and appeal.
Product and legalAvailability, export, retention, support, and service commitments.
Product ownerPaid placement cannot silently rewrite organic relevance or evidence.
Product ownerDefinitions for current, complete, verified, and evidence-backed.
Product ownerAttribution, correction, takedown, suppression, and appeal.
Product and legalAvailability, export, retention, support, and service commitments.
Product ownerPaid placement cannot silently rewrite organic relevance or evidence.
Product ownerCanonical architecture note
Open note ↗Collect obligations created specifically by operating JobCache as the commercial product. The shared Operating Stack still applies; this module contains only the product-specific extensions.
Each resolved item is an Operating Obligation record governed by Operating Obligation Model; this page is the product-specific source and index, not a second register.
| Category | Architectural concern |
|---|---|
| Corpus claims | What “current”, “complete”, “verified”, and “evidence-backed” are allowed to mean |
| Provenance | Source attribution, acquisition history, corrections, and contested facts |
| Customer contract | Availability, export, retention, support, and service commitments |
| Commercial model | JobCache UI is the monetized product; controls must not leak into CareerVector |
| Publication | Takedown, suppression, correction, and appeal paths for public corpus data |
| Automation | Honest disclosure of automated enrichment and its uncertainty |
Each obligation needs an accountable owner, a machine-readable rule where possible, an operator workflow, an audit record, and a user-visible explanation.