sdil.git/sdil/core.py, branch main
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sdil: normalize causal vectorizer regression
2026-07-22T10:17:51+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T10:17:51+00:00
f56e60c9bc095904e1ee721e70a991b77b801e53
sdil: add feedback-first apical calibration
2026-07-22T10:00:28+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T10:00:28+00:00
7b6cdfb9656d3b59edae442c99ba3412ecc32cfc
baseline: add unamortized node perturbation
2026-07-22T09:01:23+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T09:01:23+00:00
3942eda789a64dbc4e213cb9ca2f376c1f334501
fix: bound state-conditioned feedback features
2026-07-22T08:35:41+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T08:35:41+00:00
a065428141f68858ea4ae4e56472718a8024042e
method: condition apical vectorizers on neural state
2026-07-22T08:33:44+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T08:33:44+00:00
dcadaff8622e6c8b3450f12f45447f605c68556a
results: freeze predictor timescale choice
2026-07-22T07:13:33+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T07:13:33+00:00
7e8d314c0fb8e82730e24da153e8b73c3af4ecd6
docs: correct SDIL novelty boundary
2026-07-22T07:12:22+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T07:12:22+00:00
b9a9524ca559cc30a584779ba39f7764887d7fcf
feat: model endogenous mixed apical traffic
2026-07-22T06:36:37+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-22T06:36:37+00:00
ee57b4ca69ace14ffadfcfde947112278001feef
feat: add magnitude-matched raw apical control
2026-07-21T12:26:54+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-21T12:26:54+00:00
2f3f44d49df3d1dd42200bae5fa6cbe943c3d42c
perf: batch simultaneous perturbation directions
2026-07-21T12:05:16+00:00
YurenHao0426
Blackhao0426@gmail.com
2026-07-21T12:05:16+00:00
e0bfdfd51c78b945242bfa36a485d8773c4e17bb