Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870009899
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
0.121
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009634
distance 0.121
#2 · Nashikcell 4870009898
distance 0.166
#3 · Nashikcell 4870009772
distance 0.182
#4 · Nashikcell 4870010031
distance 0.182
#5 · Nashikcell 4870009359
distance 0.185
#6 · Nashikcell 4870009773
distance 0.187
#7 · Nashikcell 4870009498
distance 0.202
#8 · Ahmednagarcell 4660014003
distance 0.203 · cross-district
#9 · Nashikcell 4870009905
distance 0.208
#10 · Ahmednagarcell 4660014114
distance 0.217 · cross-district
#11 · Ahmednagarcell 4660013967
distance 0.229 · cross-district
#12 · Nashikcell 4870009361
distance 0.232
#13 · Nashikcell 4870009357
distance 0.232
#14 · Nashikcell 4870010029
distance 0.232
#15 · Nashikcell 4870009078
distance 0.237
#16 · Nashikcell 4870008803
distance 0.238
#17 · Ahmednagarcell 4660014223
distance 0.238 · cross-district
#18 · Ahmednagarcell 4660014182
distance 0.24 · 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":4870009899}}}'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.