Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990004241
The MH-36 locality cells most similar to this Washim cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.077
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990004189
distance 0.077
#2 · Yavatmalcell 5000011133
distance 0.131 · cross-district
#3 · Washimcell 4990004083
distance 0.137
#4 · Yavatmalcell 5000011130
distance 0.144 · cross-district
#5 · Washimcell 4990003993
distance 0.149
#6 · Amravaticell 4680000087
distance 0.15 · cross-district
#7 · Washimcell 4990003991
distance 0.155
#8 · Washimcell 4990004108
distance 0.156
#9 · Washimcell 4990003117
distance 0.158
#10 · Washimcell 4990004086
distance 0.16
#11 · Amravaticell 4680000043
distance 0.16 · cross-district
#12 · Washimcell 4990002804
distance 0.16
#13 · Washimcell 4990004076
distance 0.161
#14 · Yavatmalcell 5000009945
distance 0.162 · cross-district
#15 · Washimcell 4990002480
distance 0.165
#16 · Washimcell 4990003023
distance 0.169
#17 · Washimcell 4990001219
distance 0.174
#18 · Yavatmalcell 5000008930
distance 0.176 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":499,"cluster_id":4990004241}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.