Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870007066
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.11
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007349
distance 0.11
#2 · Nashikcell 4870005737
distance 0.124
#3 · Nashikcell 4870003573
distance 0.131
#4 · Nashikcell 4870006919
distance 0.132
#5 · Nashikcell 4870007481
distance 0.142
#6 · Nashikcell 4870006916
distance 0.143
#7 · Nashikcell 4870008060
distance 0.145
#8 · Ahmednagarcell 4660014254
distance 0.145 · cross-district
#9 · Nashikcell 4870006310
distance 0.15
#10 · Ahmednagarcell 4660014114
distance 0.151 · cross-district
#11 · Nashikcell 4870005580
distance 0.153
#12 · Nashikcell 4870004005
distance 0.154
#13 · Nashikcell 4870007204
distance 0.154
#14 · Nashikcell 4870006619
distance 0.157
#15 · Chhatrapati Sambhajinagarcell 4690002536
distance 0.157 · cross-district
#16 · Nashikcell 4870003870
distance 0.158
#17 · Nashikcell 4870007210
distance 0.158
#18 · Chhatrapati Sambhajinagarcell 4690002212
distance 0.163 · 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":4870007066}}}'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.