HMH-GRA — defined scope complete
Current closeout summary, final scientific evidence root, tested infrastructure context and explicit unresolved claims.
Read the closeout summary →Research programme
Research that can survive contact with operations.
HMH-GRA has completed its defined technical validation scope and post-mission closeout. The programme now connects bounded evidence to commercial assessment and separately funded next-stage research.
Research records
Keep the lineage visible.
The closed project scope and the earlier baseline are separate records. New evidence does not silently rewrite an earlier version.
BPM-RN-001 · v1.0
From Governance Runtime to Evidence: Independent Cross-Infrastructure Validation. Historical document dated 24 September 2026; PDF identity preserved.
Open RN-001 →Proposed next mission · funded / co-funded only
HMH-GFA
HumAI MightHub Governed Fleet & Authority Validation. A distinct next-stage mission to examine heterogeneous model fleets, delegated authority, escalation and failure propagation. Scope and acceptance criteria must be agreed before execution.
Immutable parent evidence
HMH-GRA remains the closed parent record. Fleet consensus or model capability will not be treated as a source of execution authority.
No completed fleet claim
HMH-GFA is proposed work. Funding, infrastructure access, test scope and reviewer obligations are prerequisites; no fleet-wide validation is inferred from HMH-GRA.
Research tracks
Four connected questions.
The programme focuses on the gap between what AI can do and what an accountable system should be allowed to do.
Governance runtime
How can policy, permissions, escalation and human decision rights remain machine-enforceable during execution?
Governed model fleets
How should different models, agents and tools be coordinated without granting any one component uncontrolled authority?
Evidence engineering
What artifacts are required to make runtime behavior repeatable, reviewable and suitable for accountable acceptance?
Infrastructure-aware governance
Which governance properties must remain stable when workloads move across model, compute or deployment environments?
Working theses
Ideas under engineering pressure.
Research theses are not presented as universal proof. Each claim must move through an explicit evidence boundary before its status changes.
Capability ≠ Authority
Increasing model capability should not automatically increase permissions, decision rights or operational reach.
Governance Runtime → Evidence
A governance layer is incomplete if its decisions, overrides and failures cannot produce inspectable evidence.
Cross-infrastructure validation
Portability claims should be tested independently of one model or one compute environment when portability matters.
Publication maturity
Separate ideas from demonstrated claims.
A research item can progress without forcing every claim inside it to share the same evidence status.
Working thesisA proposition under investigation.
TestedExercised under stated conditions.
ReproducedRepeated under a declared repeatability boundary.
ValidatedAccepted against explicit criteria.
Publication readyDisclosure, provenance and limitations cleared.
PublishedPublic artifact with a stable identity and evidence boundary.
SupersededRetained and citable, but a newer public artifact replaces its current interpretation.
What we publish
Methods, boundaries and selected evidence.
Public research should let external reviewers understand the claim, validation logic and limitation without requiring access to private implementation detail.
What stays controlled
IP, security and sensitive context.
Internal thresholds, credentials, private repositories, proprietary orchestration logic and protected deployment information stay outside the public layer.
Publication engine
Published notes retain stable IDs, immutable versioned artifacts, SHA256 identities, claim boundaries, limitations and revision lineage. New research notes are released when material evidence justifies a new public artifact.
Research collaboration
Bring a funded question and a bounded mandate.
Major new R&D requires a funded or co-funded agreement, an explicit test contract and a disclosure boundary. Technical exchange can challenge existing public claims without implying execution of a new mission.