Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001482
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
0.149
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870009351
distance 0.149
#2 · Nashikcell 4870008927
distance 0.166
#3 · Ahmednagarcell 4660013544
distance 0.184 · cross-district
#4 · Ahmednagarcell 4660013815
distance 0.187 · cross-district
#5 · Nashikcell 4870010021
distance 0.202
#6 · Nashikcell 4870008922
distance 0.204
#7 · Nashikcell 4870001490
distance 0.205
#8 · Nashikcell 4870000541
distance 0.207
#9 · Nashikcell 4870008918
distance 0.21
#10 · Ahmednagarcell 4660013123
distance 0.211 · cross-district
#11 · Nashikcell 4870006589
distance 0.212
#12 · Nashikcell 4870008934
distance 0.217
#13 · Nashikcell 4870008933
distance 0.219
#14 · Nashikcell 4870000360
distance 0.221
#15 · Ahmednagarcell 4660013124
distance 0.223 · cross-district
#16 · Nashikcell 4870009067
distance 0.226
#17 · Nashikcell 4870001849
distance 0.228
#18 · Ahmednagarcell 4660013686
distance 0.229 · 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":4870001482}}}'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.