{"identity":{"generated_at":"2026-05-19T16:14:52.680119554Z","kernel_semver":"kokon-kernel/1.11.0-2026.05.15","kernel_content_sha256":"d1bd86f454a8dc560c8fea32d519d604bc6559fccfb7aeaae2a03b0a2c4c1ba7","math_modules":[{"phase":"phase48","module":"process_mining","version":"1.2.0","content_sha256":"432c96424895b8b82d493e6145aaa1e2695aeec6990118eadeabe1a8ee5674ba","pinned_constants":{"convergence_tolerance":"1e-9","min_events_for_topology":"20","power_iteration_steps":"96","variant_collapse_strategy":"trace_signature_hash"},"capability":"Stochastic-shifted dominant eigenvalue (power iteration + Rayleigh quotient), bottleneck identification, queue pressure"},{"phase":"phase52","module":"risk_core","version":"1.1.0","content_sha256":"a850c848071bb1a6d60491b2b431a6a231706d63fa3b9cbcfb87fc60ea18ec59","pinned_constants":{"benchmark_seed":"42","contagion_damping":"0.87","contagion_iters":"4","council_threshold":"0.15","horizon_days":"90","monte_carlo_paths":"100000","recal_alpha":"0.9","steps":"120","student_t_dof":"7","target_max_diff_pct":"1"},"capability":"Split-step operator with Monte Carlo, heavy-tailed t-copula, EVT VaR/CVaR, contagion"},{"phase":"phase60","module":"company_diagnostic_packet","version":"1.0.0","content_sha256":"10221988ac1502fb770f67d36747c23dc09d1986330b576a65843eb3bfb9c049","pinned_constants":{"queue_pressure_threshold":"1.5","recoverable_fraction":"0.70","roi_confidence_default":"0.90"},"capability":"Bottleneck recoverable hours, ROI confidence interval, cost leakage, queue pressure, model-risk tier"},{"phase":"phase61","module":"financial_ratios","version":"1.0.0","content_sha256":"4e3a0117f8de1bfab9cafd374cfc99778a8a01c37e982a7c5ac9957fade4d640","pinned_constants":{"altman_z_distress_threshold":"1.81","altman_z_safe_threshold":"2.99","piotroski_f_max":"9"},"capability":"Liquidity / Leverage / Profitability / Efficiency + ROE decomposition + bankruptcy-distress score + 9-criterion financial-strength score"},{"phase":"phase62","module":"edgar_xbrl_parser","version":"1.0.0","content_sha256":"b380f0b71f14d51caa45a5da8a86e054714eed6abb7b90aa7181a56428901606","pinned_constants":{"us_gaap_alias_count":"33"},"capability":"33 us-gaap tag aliases canonicalised to FinancialStatementBundle"},{"phase":"phase63","module":"peer_benchmark","version":"1.0.0","content_sha256":"1ad9a86c54d726b01028ef718a02baf3a77e814255008b83dd289b450e68d21f","pinned_constants":{"min_peer_n":"5","quantile_type":"type_7_hyndman_fan"},"capability":"Z-score, percentile rank, deterministic Type-7 quantile"},{"phase":"phase64","module":"unit_economics","version":"1.0.0","content_sha256":"1492dbdd65f8c125e053fe022cdf1eff19bcd2c503952d38746119540fd542ef","pinned_constants":{"greenwood_variance_floor":"1e-12"},"capability":"LTV/CAC + non-parametric survival estimator with variance-floor regularisation"},{"phase":"phase65","module":"pricing_analytics","version":"1.0.0","content_sha256":"2417672e15822acf1f7a831fde64e1ebbc85dbe73ff50651418b3e9a50ad9414","pinned_constants":{"bootstrap_iters":"1000","min_price_obs":"10"},"capability":"Log-log OLS elasticity with bootstrap CI"},{"phase":"phase66","module":"sales_pipeline","version":"1.0.0","content_sha256":"a13c569235fac95eff393699ed86569145e28fb7b0f5753a605233844bce4238","pinned_constants":{"wilson_z":"1.96"},"capability":"Stage conversion rates with binomial-proportion confidence interval (z = 1.96)"},{"phase":"phase67","module":"lm_sentiment","version":"1.0.0","content_sha256":"e72cb23ce8d683d59fa6dc94ec36270ee46b8309d1a5aecadac75091d253d537","pinned_constants":{"lexicon_version":"lm_2018"},"capability":"Financial-sentiment lexicon (negative / positive / uncertainty / litigious / constraining)"},{"phase":"phase68","module":"company_loss_detector","version":"1.0.0","content_sha256":"e4b0ee7ae9fac757621e6a18b924ee959986ee8c793f125656e5b2dc08ba0a78","pinned_constants":{"confidence_default":"0.95","pca_max_factors":"8","stress_scenarios":"rework_doubled,tail_event_3sigma,demand_drop_30pct"},"capability":"Wraps riskmath VaR/CVaR/EVT-POT/PCA/stress; 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No new math — only wiring."},{"phase":"phase71","module":"agent_assessor","version":"1.0.0","content_sha256":"bf222794fa88d226097e4ca5324f90f896276fe0abede86ee0a47c2c54570441","pinned_constants":{"sod_lift_authority":"founder_control","sod_reject_veto_owner":"regulatory_trigger","sr262_tier_thresholds":"tier_1=critical_topology|HIGH_model_risk,tier_2=warn|MEDIUM,tier_3=info|LOW"},"capability":"Per-agent deterministic assessor that respects all 8 brain definitions; SR 26-2 six-pillar evaluation; SoD with regulatory_trigger REJECT veto + founder_control lift authority."},{"phase":"phase16","module":"lineage_worm","version":"1.0.0","content_sha256":"9ea7886619bda630929b27166853c2f19a75a88008fc816c72ae3328fea2dd13","pinned_constants":{"chain_link_strategy":"prev_chain_hash || payload_hash || timestamp","hash_algorithm":"sha256"},"capability":"WORM lineage exports with SHA-256 chained audit; per-record payload_hash + prev_chain_hash + chain_hash; signature support."},{"phase":"phase120","module":"resolvent_meta_kernel","version":"1.0.0","content_sha256":"48f7dbb9b4e428aa7427968f4855d97b5805de62eba3fc82675dd3c7dd87c9ce","pinned_constants":{"builtin_operators":"shift,diffuse,feynman_kac","grid_ceiling":"1024","grid_floor":"16","lambda":"0.1","product_depth":"64","tail_quantile":"0.999","time_horizon":"30","time_steps":"256"},"capability":"Universal resolvent meta-formula: f = (λI−H)⁻¹ g = ∫₀^∞ e^{−λt}(S(t/n))^n g dt — semigroup approximation via operator product. 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Per-scenario q_{0.999} from closed-form operator-product, per-scenario SHA, side-by-side portfolio ranked by tail severity."},{"phase":"phase122","module":"bifurcation_monitor","version":"1.0.0","content_sha256":"97cf77a984d7136a516953cdcfc45f860ce1900a808d2c2968f4a0b33f39e36a","pinned_constants":{"kappa_monitor":"100","kappa_stable":"30","max_features":"20","power_iters":"128","vif_monitor":"10","vif_stable":"5"},"capability":"Multicollinearity / bifurcation monitor. Computes condition number κ(XᵀX) via deterministic power iteration + per-feature VIF via elimination-based inversion. Verdict trio: stable (κ≤30, VIF≤5) / monitor (κ≤100, VIF≤10) / bifurcating. Catches the case where input features are linearly dependent and parameter estimates become unstable — SR 26-2 §V.A limitations-disclosure pillar."},{"phase":"phase123","module":"graph_curvature","version":"1.0.0","content_sha256":"692676bf007bf8548c170f59c69b5ca2f5def97155b38492d4ca2d112d4dfb38","pinned_constants":{"alpha_lazy":"0.5","max_edges":"200","max_vertices":"32","monitor_edge_threshold":"-0.3","robust_edge_threshold":"0"},"capability":"Discrete graph curvature on a weighted graph. Per-edge κ = 1 - W₁(μ_u, μ_v)/d(u,v) using α-lazy random-walk measures and 1-D earth-mover distance. Negative-κ edges are contagion bottlenecks; positive-κ edges are expansion-robust. Verdict trio: robust / monitor / contagion_prone. Applies to twin entity graphs, counterparty networks, agent council vote graphs."},{"phase":"phase124","module":"manifold_mean","version":"1.0.0","content_sha256":"742fd4e9595ef44ce66f9dd02b8f5f5a4d363a7c176ac9d9d612d296e6ba349c","pinned_constants":{"jacobi_iters":"64","max_dim":"8","max_matrices":"256"},"capability":"Log-Euclidean mean on the SPD (covariance) manifold: Σ̄ = exp(1/N · Σ_k log(Σ_k)). Closed-form via rotational eigendecomposition, preserves positive-definiteness, correct for averaging rolling-window covariance estimates. Capped at d ≤ 8 and N ≤ 256."},{"phase":"phase125","module":"topological_h0","version":"1.0.0","content_sha256":"c5a3e74921af7e9c056ca0b0efe44c3166258eb3dc94c4c2c28951e3955f8007","pinned_constants":{"filtration":"vietoris_rips","homology_dim":"0","max_dim":"8","max_points":"64","merge_rule":"elder"},"capability":"Topological data analysis: H0 persistent homology via filtration-based union-find (edge-sorted, Elder Rule). Point cloud → persistence diagram (birth=0, death=merge ε). Longest-lived components are regime markers / outliers. 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No LLM on decision path."},{"framework":"ISO 31000 / ISO 27001","jurisdiction":"Global (ISO)","status":"partial","coverage_pct":65,"backing_modules":["phase52","phase60","phase68","phase16"],"notes":"Risk identification + analysis + treatment present; SoA mapping table to be emitted by phase76."},{"framework":"GDPR (data lineage + lawful basis)","jurisdiction":"EU","status":"covered","coverage_pct":85,"backing_modules":["phase16","phase42"],"notes":"WORM lineage covers provenance; lawful basis tagging at ingest is the operator responsibility."}],"determinism_guarantees":{"narrative_deterministic":true,"verdict_deterministic":true,"no_llm_on_decision_path":true,"bit_exact_same_inputs":true,"notes":"phase69 narrative + phase71 assessor are deterministic rule engines. LLM is permitted only as a pre-write context surface, never on the decision path."},"reproducibility_receipt":{"steps":["1. Pin kernel_content_sha256 from this manifest.","2. Capture the verdict's input_payload_sha256 from the WORM lineage record.","3. POST the same input to /api/control/onboarding/full-pipeline against a build matching kernel_semver.","4. Compare output sha256 to the WORM-stored output sha256 — must be bit-identical."],"sample_input_hash_form":"sha256(canonical_json(FullOnboardingInput))","sample_output_hash_form":"sha256(canonical_json(FullOnboardingResult))","replay_endpoint":"/api/control/onboarding/full-pipeline","retention_window":"7 years (WORM, append-only, SHA-256 chained per phase16)"},"doctrine":{"mantra":["MATH FIRST","AGENTS SECOND","GOVERNOR ALWAYS","AUDIT FOREVER"],"style":"Maximum information density · Numeracy-first surfaces · Audit-grade operational discipline","product_class":"Sovereign decision infrastructure — not a SaaS dashboard, not an AI assistant."}},"locale":"en","worm_head_chain_sha":"f9fcb18436674927ae33389600413976772509204e76d3726d9af3a110859a2d"}