Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002139
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.147
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001697
distance 0.147
#2 · Nashikcell 4870002054
distance 0.21
#3 · Palgharcell 6650002970
distance 0.213 · cross-district
#4 · Nashikcell 4870003895
distance 0.216
#5 · Nashikcell 4870003469
distance 0.227
#6 · Nashikcell 4870001892
distance 0.23
#7 · Nashikcell 4870001515
distance 0.233
#8 · Nashikcell 4870000872
distance 0.237
#9 · Palgharcell 6650003346
distance 0.243 · cross-district
#10 · Nashikcell 4870003899
distance 0.245
#11 · Nashikcell 4870001131
distance 0.25
#12 · Nashikcell 4870002058
distance 0.253
#13 · Palgharcell 6650002130
distance 0.253 · cross-district
#14 · Palgharcell 6650002206
distance 0.254 · cross-district
#15 · Nashikcell 4870003329
distance 0.256
#16 · Palgharcell 6650003576
distance 0.256 · cross-district
#17 · Palgharcell 6650002129
distance 0.258 · cross-district
#18 · Nashikcell 4870003061
distance 0.258
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":4870002139}}}'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.