Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004013
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005302
distance 0.129
#2 · Nashikcell 4870003720
distance 0.137
#3 · Nashikcell 4870003294
distance 0.141
#4 · Nashikcell 4870005591
distance 0.146
#5 · Nashikcell 4870004172
distance 0.149
#6 · Nashikcell 4870003427
distance 0.149
#7 · Nashikcell 4870005297
distance 0.15
#8 · Nashikcell 4870004300
distance 0.151
#9 · Chhatrapati Sambhajinagarcell 4690003042
distance 0.152 · cross-district
#10 · Nashikcell 4870004291
distance 0.153
#11 · Nashikcell 4870004875
distance 0.154
#12 · Nashikcell 4870002794
distance 0.154
#13 · Nashikcell 4870006769
distance 0.155
#14 · Nashikcell 4870003154
distance 0.155
#15 · Nashikcell 4870004434
distance 0.155
#16 · Chhatrapati Sambhajinagarcell 4690005028
distance 0.156 · cross-district
#17 · Nashikcell 4870004747
distance 0.156
#18 · Chhatrapati Sambhajinagarcell 4690004855
distance 0.157 · 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":4870004013}}}'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.