AXN 05DF is the content-derived identifier of Alexanarch deposit #1454. It is an identifier, not a copy of the work: the hex marks position in the archive, and the six-glyph suffix is a display hash of the canonical text’s SHA-256, so the identifier is derived from the work rather than assigned to it.
Assimilation Across Accelerator Classifier Architectures (EA-SEI-ACRB-01 v1.0) defines the Accelerator Classifier Retention Battery, the cross-family measurement framework of the accelerator selection-metrology program, deposited under the Nobel Glas heteronym.
ACRB is a pre-registered framework for determining whether the directional assimilation measured in reconstruction autoencoders persists across materially different learned-selection architectures: encoder-side latent scores, explicit density estimators and normalizing flows, normalized autoencoders and WNAE, distilled anomaly triggers, and supervised DNN and GNN trigger classifiers entering through open-set assimilation tests. It compares architectures at matched own-background operating points, follows models through deployment transformations — teacher-to-student blind-spot inheritance, float-to-firmware retention drift — and measures the topology and overlap of miss regions rather than discrimination alone.
The design is symmetric in outcome by construction: if symmetric-by-design architectures remove directional asymmetry across the pre-registered pair set, ACRB is the validation instrument for that remedy; if assimilation persists across families, the evidentiary burden shifts from a single-model defect toward a selection-system phenomenon. Its claim boundaries are explicit — assimilation is operational, AUC and score-order inversion and threshold-level retention are distinct estimands, public benchmarks do not establish deployed experiment efficiencies, and architectural diversity does not imply diversity of failure. Cross-model miss overlap is measured as the Representational Independence Index family of #1450.
05DFOPERATIVE4e56924f3cfc4d76dc4c57410899583a2e116d96f025ae7489697dcb53cefe55Read from the fields that record them (/data/axn-relations.json); a hash names bytes and supplies no relation.
AXN:0715.NON.❤️◇♆⏩✋🏠 — ml-classifiers-particle-accelerators (agnosticism does not sustain independence; kernel[K1].source)AXN:0715.NON.❤️◇♆⏩✋🏠 — ml-classifiers-particle-accelerators (whole; composition_v09.defining_papers_read)Resolver rule: alexanarch.org/axn/<HEX> ·
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