Library / First Principles Framework (FPF) - Core Conceptual Specification
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Source changed 2026-10-03 05:29:54 UTC · snapshot created 2026-10-03 05:30:57 UTC · last check 2026-10-03 07:30:20 UTC

G.11:4.3a - Causal-use refresh sentinels

When a shipped result consumes C.28, refresh planning watches the causes that can change a supported use, unsupported use, support-result verdict, limits, or downstream decision basis:

SentinelAffected resultRefresh pins
sampling-realizability shiftCounterfactualSamplingRealizabilityResulttarget distribution, decision Method and any derivation, physical, ethical, operational, and history constraints, required sampling construction or obstruction, unresolved questions, status, supported use, and unsupported use
performed sampling or resulting-data shiftdated sampling Work plus A.10 evidence path and empirical data regimeWorkPlan when used; actual performer identified through A.13; dated Work independently admitted through A.15.1; Method and window; resulting sample or data; provenance and currentness. Add F.6 with the same A.13 assignment only if the refresh decision needs to say exactly under which assignment the Work was performed. F.6 identifies neither performer nor assignment; a missing or failed attribution leaves the Work intact. A realizability result cannot substitute.
identification or bound shiftCausalIdentificationResultdata-regime refs, assumptions, identifying derivation, bound or failure witness, sensitivity
estimate shiftCausalEstimateResultidentification or design basis, data, estimator Method, diagnostics, uncertainty, sensitivity, and any live estimation-consistency result
target-trial practice shiftprotocol and mapping resultsquestion/estimand, protocol-to-data mapping, assumptions, estimate/precision, sensitivity and reporting source edition
causal-fairness shiftC.28 support result plus D.5 BiasAuditReport@Contextfairness estimand, extra counterfactual-identification assumptions, estimate and consistency result when used, support components and result, affected population, audit limits, and decision
causal-representation shiftCausalVariableRepresentationRecordintervention validity, invariance, abstraction fidelity, query preservation, shift and use limits
off-policy or causal-RL shiftOffPolicyCausalEvaluationResultbehaviour/evaluation policies, horizon/history, confounding, overlap, endpoints, estimator and uncertainty
simulation-validation shiftsimulationResultRef in CausalSupportComponentRefsmodel assumptions, validation, sensitivity, supported model use and unsupported realized/interventional use
transport-endpoint shiftCausalTransportabilityResultsource/target population, domain, environment and data-generating regime, assumptions, windows, formula and unresolved limits

These are payload distinctions under existing G.Core trigger kinds, not new trigger kinds. Reopen only the affected result and downstream uses that consumed it.