Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004155
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.156
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003445
distance 0.156
#2 · Nashikcell 4870003441
distance 0.16
#3 · Nashikcell 4870003722
distance 0.161
#4 · Nashikcell 4870003175
distance 0.171
#5 · Nashikcell 4870005587
distance 0.171
#6 · Nashikcell 4870004454
distance 0.173
#7 · Nashikcell 4870005880
distance 0.173
#8 · Nashikcell 4870006043
distance 0.174
#9 · Jalgaoncell 4780003533
distance 0.176 · cross-district
#10 · Nashikcell 4870002672
distance 0.182
#11 · Chhatrapati Sambhajinagarcell 4690003439
distance 0.185 · cross-district
#12 · Ahmednagarcell 4660013664
distance 0.192 · cross-district
#13 · Nashikcell 4870007220
distance 0.192
#14 · Nashikcell 4870004156
distance 0.194
#15 · Nashikcell 4870002926
distance 0.203
#16 · Nashikcell 4870004154
distance 0.204
#17 · Ahmednagarcell 4660013851
distance 0.208 · cross-district
#18 · Jalgaoncell 4780000448
distance 0.209 · 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":487,"cluster_id":4870004155}}}'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.