Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870010195
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.124
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001771
distance 0.124
#2 · Nashikcell 4870002380
distance 0.128
#3 · Ahmednagarcell 4660013844
distance 0.144 · cross-district
#4 · Nashikcell 4870011565
distance 0.146
#5 · Nashikcell 4870008693
distance 0.149
#6 · Nashikcell 4870002374
distance 0.15
#7 · Ahmednagarcell 4660014231
distance 0.153 · cross-district
#8 · Nashikcell 4870002041
distance 0.159
#9 · Nashikcell 4870002457
distance 0.159
#10 · Nashikcell 4870011582
distance 0.16
#11 · Nashikcell 4870001769
distance 0.161
#12 · Ahmednagarcell 4660012154
distance 0.163 · cross-district
#13 · Solapurcell 4960011641
distance 0.165 · cross-district
#14 · Nashikcell 4870003017
distance 0.166
#15 · Nashikcell 4870012226
distance 0.168
#16 · Punecell 4900002453
distance 0.169 · cross-district
#17 · Punecell 4900003324
distance 0.17 · cross-district
#18 · Nashikcell 4870002035
distance 0.171
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":4870010195}}}'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.