C.2.2:11 - SoTA-Echoing
Normative.
SoTA pack binding note. If a G.2 SoTA Synthesis Pack has sources that bear on reliability under the exact changed claim scope, kind, reference plane, notation, source-local meaning, model use, or evidence basis in this case, cite the relevant ClaimSheet IDs and CorpusLedger entries. Cite a BridgeMatrix row only when the current path actually uses an F.9 cross-local semantic Bridge represented by that row. Otherwise record SoTA-Pack: TBD/none and treat this section as the seed; neither a generic Context nor a generic transport package is required.
| Practice claim | Post‑2015 source anchor | Alignment to this pattern | Adoption status |
|---|---|---|---|
| Verification and validation should be distinguished and tied to evidence quality, not rhetoric. | ASME V&V 40-2018 (model credibility assessment; historical anchor). | Keep VA and LA separate and attach warrant to evidence, claim, and use. | Adapt this distinction; this source is not a justification for a universal KD-CAL minimum. |
| Trustworthiness depends on intended use, affected risks, operating conditions, and explicit limits. | NIST AI Risk Management Framework 1.0 (2023). | This pattern makes claim limits explicit through G and applies CL penalties only through the actual relation used by a reuse path. | Adapt, because FPF treats declared relation loss as an epistemic penalty, not only as an organisational risk statement. |
| Safety arguments should make claims, evidence, and assumptions explicit and reviewable. | UL 4600 (2020) and related assurance-case practice in autonomous systems. | This pattern treats R as an auditable warrant signal whose inputs are explicit evidence items; any reuse names the exact relation traversed and its declared loss. | Adopt, while remaining notation-independent and avoiding tool mandates. |
| Empirical results should be accompanied by structured provenance and usage conditions to enable reuse and critique. | “Datasheets for Datasets” (Gebru et al., 2018) and “Model Cards” (Mitchell et al., 2019). | Scope discipline and lane reporting make empirical warrant reusable only when the exact evidence, claim, use, conditions, and any evidence-reuse or dataset relation are explicit; that relation’s declared loss routes to R_eff only. | Adopt, with relation-specific congruence penalties as the reuse control mechanism. |
| Reproducibility requires packaging evidence and making it re-checkable by others. | ACM Artifact Review and Badging (updated practices post-2015) and The Turing Way (2019). | This pattern treats evidence as inspectable across TA/VA/LA lanes and lets reliability decay when evidence becomes stale or non-replayable. | Adapt, because FPF treats freshness and relation-specific reuse losses as first-class calculus inputs. |
| Strong inference needs evidence that discriminates against live rival explanations. | Mayo (2018) on severity in statistical inference (historical anchor). | Keep the limitation or rival explanation that a test actually addresses visible. | Adapt the methodological concern, not an asserted derivation of minimum or any universal R formula. |
The current methodological comparison is Gutierrez, Glymour and Davey Smith, Evidence triangulation in health research (2025): compare target questions, design assumptions and possible shared biases; use qualitative synthesis where quantitative combination is unwarranted. Adapt those distinctions for heterogeneous support. The paper supplies neither a universal R scale nor a requirement to commission another study for every useful conclusion.