Experiments
Every experiment carries a registered hypothesis with an explicit falsification criterion (seven-field scientific block), mandatory controls and nulls, raw results, and an analysis. Negative results are kept. Micro-experiments A–H establish the noise floor, the correlational→causal survival rate, and the capture cost frontier before any large model is mapped.
expA_probe_reliability
Probe reliability — noise floor of linear probes across seeds and datasets
completed 1 result runexpB_localization_vs_diffusion
Localization vs diffusion — how concentrated is the signal supporting a capability
scaffoldedexpC_causal_verification
Causal verification pipeline — correlational-to-causal survival rate
scaffoldedexpD_cross_input_stability
Cross-input stability — which map types are input-invariant
scaffoldedexpE_weight_geometry
Weight-space geometry — zero-forward-pass maps (SVD, effective rank, CKA)
scaffoldedexpF_quantization_map_drift
Quantization map drift — how FP16/Q8/Q4/Q2 deform internal structure
scaffoldedexpG_cross_model_alignment
Cross-model alignment — shared coordinate systems across model sizes
scaffoldedexpH_capture_cost_frontier
Capture cost frontier — what can you map on which Mac (macOS-specific)
completed 3 result runscandidate_01
Assigned by Phase 4 (`research/candidate_ranking.md`). Core gaps: G06 (+G08 anchor, G03/G09 extensions).
scaffoldedcandidate_02
Assigned by Phase 4 (`research/candidate_ranking.md`). Core gaps: G01 (+G02, then G04/G05).
scaffoldedcandidate_03
Assigned by Phase 4 (`research/candidate_ranking.md`). Core gaps: G17 (+G11/G12 as measurement layers).
scaffoldedcandidate_04
Assigned by Phase 4 (`research/candidate_ranking.md`). Core gaps: G24 (+G09).
scaffolded