Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870003875
The MH-36 locality cells most similar to this Nashik 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.107
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004605
distance 0.107
#2 · Nashikcell 4870003587
distance 0.111
#3 · Nashikcell 4870004604
distance 0.119
#4 · Chhatrapati Sambhajinagarcell 4690004495
distance 0.124 · cross-district
#5 · Nashikcell 4870004026
distance 0.127
#6 · Nashikcell 4870005921
distance 0.144
#7 · Nashikcell 4870003732
distance 0.148
#8 · Nashikcell 4870004021
distance 0.149
#9 · Ahmednagarcell 4660007307
distance 0.151 · cross-district
#10 · Ahmednagarcell 4660009547
distance 0.152 · cross-district
#11 · Nashikcell 4870006206
distance 0.153
#12 · Chhatrapati Sambhajinagarcell 4690004503
distance 0.155 · cross-district
#13 · Nashikcell 4870006818
distance 0.156
#14 · Nashikcell 4870005627
distance 0.159
#15 · Nashikcell 4870004603
distance 0.159
#16 · Nashikcell 4870005471
distance 0.161
#17 · Nashikcell 4870005186
distance 0.162
#18 · Nashikcell 4870006335
distance 0.163
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":487,"cluster_id":4870003875}}}'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.