ZAPHAN Provenance Record

Governed Enterprise AI.

Public evidence record for DecisionGraph Weekly™ · August 15, 2026.

EVALUATE

Claude Sonnet 5 admission

Source publication: DGW-2026-08-15, DecisionGraph Weekly™
Evidence role: Vendor Evidence
Public-safe evidence: Anthropic system-card disclosures describe capability, evaluation, safeguard, and deployment-risk changes.
Confidence and limitations: Vendor results require enterprise transfer testing; no production-readiness conclusion is asserted.
Expected outcome status: Prospective; no achieved result recorded.
Correction history: None recorded.

EVALUATE

R1-style reasoning methods

Source publication: DGW-2026-08-15, DecisionGraph Weekly™
Evidence role: Research Evidence
Public-safe evidence: Research on reinforcement learning and distillation supports governed investigation of reasoning methods.
Confidence and limitations: Reproducibility, safety, licensing, quality, and cost remain evaluation gates.
Expected outcome status: Prospective; no achieved result recorded.
Correction history: None recorded.

ACT

Weighted safety due diligence

Source publication: DGW-2026-08-15, DecisionGraph Weekly™
Evidence role: Independent Assessment
Public-safe evidence: Independent safety assessment can expose blind spots but cannot replace vendor disclosure and enterprise testing.
Confidence and limitations: Use a weighted evidence matrix; do not rely on one index or vendor disclosure.
Expected outcome status: Prospective; no achieved result recorded.
Correction history: None recorded.

ACT

Agent runtime governance

Source publication: DGW-2026-08-15, DecisionGraph Weekly™
Evidence role: Multi-source Directional Evidence
Public-safe evidence: Research, official guidance, and safety activity support bounded autonomy, human checkpoints, monitoring, containment, and rollback.
Confidence and limitations: Exact multi-turn findings remain single-study limited evidence capped at 0.64 confidence.
Expected outcome status: Prospective; no achieved result recorded.
Correction history: None recorded.

EVALUATE

LLM-assisted index tuning

Source publication: DGW-2026-08-15, DecisionGraph Weekly™
Evidence role: Research Evidence
Public-safe evidence: Microsoft Research reports an optimization approach that requires deterministic comparison, validation, and non-production evaluation.
Confidence and limitations: No production application, validated ROI, or universal recommendation is asserted.
Expected outcome status: Prospective; no achieved result recorded.
Correction history: None recorded.

Methodology and rights

ZAPHAN separates vendor disclosures, research findings, official guidance, independent assessment, and ZAPHAN implications. This page provides public-safe attribution and does not reproduce restricted source files, private Google Drive links, internal Notion records, or licensed full text.

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