Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870009072
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.162
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009894
distance 0.162
#2 · Ahmednagarcell 4660013005
distance 0.171 · cross-district
#3 · Nashikcell 4870009348
distance 0.174
#4 · Nashikcell 4870011538
distance 0.176
#5 · Nashikcell 4870009341
distance 0.18
#6 · Nashikcell 4870011553
distance 0.181
#7 · Nashikcell 4870011435
distance 0.182
#8 · Nashikcell 4870011436
distance 0.202
#9 · Nashikcell 4870011530
distance 0.206
#10 · Nashikcell 4870010800
distance 0.208
#11 · Ahmednagarcell 4660013314
distance 0.208 · cross-district
#12 · Ahmednagarcell 4660013402
distance 0.212 · cross-district
#13 · Ahmednagarcell 4660013759
distance 0.217 · cross-district
#14 · Nashikcell 4870012481
distance 0.219
#15 · Ahmednagarcell 4660013329
distance 0.221 · cross-district
#16 · Nashikcell 4870006893
distance 0.221
#17 · Nashikcell 4870012309
distance 0.221
#18 · Nashikcell 4870011181
distance 0.223
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":4870009072}}}'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.