Library / First Principles Framework (FPF) - Core Conceptual Specification
Jump to passage
In this reading

Link to current text

Published source confirmed at last check

Source changed 2026-10-03 10:39:28 UTC · snapshot created 2026-10-03 10:40:04 UTC · last check 2026-10-03 11:45:17 UTC

C.19:11 - SoTA-Echoing

Source-currentness boundary. The mutable arXiv sources below are pinned to exact editions; the journal QD source is pinned by DOI and publication record. Reopen this source-use judgement when a pinned arXiv record receives a newer version, the journal source is corrected, retracted, or materially superseded, or a proposal would promote a particular heterogeneity quota or sampler into a C.19 norm. G.11 is the pattern for that refresh. These sources inform policy pressures and pattern boundaries; none installs its algorithm, quota, or sampler as the default FPF method.

Source or source familyAdopted FPF moveRejected overreadPractitioner implication
Russo et al., A Tutorial on Thompson Sampling, arXiv:1707.02038v3 (2020-07-14).Treat explore/exploit balancing as an explicit sequential policy pressure rather than one hidden winner-selection aftereffect.Thompson sampling or any bandit algorithm becomes the default C.19 method.A pool-policy result names the policy or lens and the change trigger; local option choice still requires C.11.
Frazier, A Tutorial on Bayesian Optimization, arXiv:1807.02811v1 (2018-07-08), and Yu et al., Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial, arXiv:2604.01328v3 (2026-04-07).Keep acquisition, cost, uncertainty, and experiment-selection pressure visible when pool policy is used for expensive probing.Bayesian optimization vocabulary locally redefines FPF choice, work, or evidence kinds.Use BO-style source pressure to require policy ids, evidence/cost boundaries, and stop or change triggers, while comparison and enactment stay with their subject patterns.
Qin et al., A survey on Quality-Diversity optimization: Approaches, applications, and challenges, Swarm and Evolutionary Computation 100:102240 (2026), DOI 10.1016/j.swevo.2025.102240, https://www.sciencedirect.com/science/article/pii/S2210650225003979.Preserve live front, archive, coverage, and diversity pressure without collapsing them to one scalarized winner.QD taxonomy redefines the archive and front relations stated through C.18, redefines the G.5 selected-set result, or authorizes a default family quota, DPP sampler, or max-min rule.Keep keep_frontier, narrow_to_subset, and sunset_line distinct; use C.18 for archive and front meaning, G.5 for result declaration, and a profile admitted by the applicable policy for any heterogeneity rule.