EEGT v0.6.0 — time-distributed pretrained geometry
Experiment 010 extends a frozen quality census across the already examined first four hours of twelve EESM23 recordings. Of 5,760 thirty-second candidates, 2,973 qualify, 122 are selected by a fixed time rule, and the pretrained CodeBrain backbone completes 610 original/control forwards. Five people and 110 selected blocks support the paired estimates. No new source recordings or people were acquired.
Geometry correlations with waveform shape, spectrum and sensor coordination are weak (0.0815, 0.0381, 0.0419), each adjusted p = 0.003 under the prescribed conditional cyclic-shift tests. Change-profile tests do not clear adjustment (0.387, 1.000, 0.639). These results do not establish matching inflection points, universal tokens, brain meaning or physical Neurable equivalence.
The archive contains all candidate outcomes, 122 prepared numeric inputs, 610 embeddings, aligned frozen descriptors, SQLite comparisons, source/code/checkpoint receipts, reproduction scripts and review evidence. Source EEG is open CC0; project code is MIT and vendored model source retains Apache-2.0. The full original recordings and pretrained weights remain upstream. Raw-to-prepared reproduction additionally needs the v0.4.0 feature bundle and its pinned raw sources.
Reproduction and verification commands are in README.md. Independent review accepted the 93-file source snapshot and recomputed 22,354 numerical assertions. Root reproduced the summary, page and plot byte for byte from the extracted candidate bundle; 66 tests pass with one optional encoder-suite skip. The reviewer did not rerun the full raw preparation or model forwards. The publication receipt separately records final extracted-bundle and public byte verification. Native local tests are distinct from GitHub Actions, which is organization-disabled. EESM23 participants 007–010 and unexamined later sessions remain reserved.