Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001871
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
0.06
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660014599
distance 0.06 · cross-district
#2 · Ahmednagarcell 4660013024
distance 0.119 · cross-district
#3 · Nashikcell 4870003017
distance 0.126
#4 · Nashikcell 4870001872
distance 0.134
#5 · Punecell 4900001693
distance 0.139 · cross-district
#6 · Nashikcell 4870004282
distance 0.143
#7 · Nashikcell 4870002041
distance 0.143
#8 · Ahmednagarcell 4660014410
distance 0.144 · cross-district
#9 · Punecell 4900003217
distance 0.147 · cross-district
#10 · Nashikcell 4870004114
distance 0.149
#11 · Ahmednagarcell 4660013792
distance 0.149 · cross-district
#12 · Nashikcell 4870002380
distance 0.15
#13 · Nashikcell 4870002874
distance 0.151
#14 · Nashikcell 4870002035
distance 0.151
#15 · Nashikcell 4870004284
distance 0.153
#16 · Nashikcell 4870002039
distance 0.154
#17 · Nashikcell 4870003842
distance 0.154
#18 · Nashikcell 4870001771
distance 0.156
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":4870001871}}}'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.