Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000254
The MH-36 locality cells most similar to this Nanded 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.122
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000745
distance 0.122
#2 · Chandrapurcell 4730000956
distance 0.165 · cross-district
#3 · Nandedcell 4850000946
distance 0.167
#4 · Nandedcell 4850001005
distance 0.178
#5 · Nandedcell 4850001651
distance 0.188
#6 · Nandedcell 4850002034
distance 0.189
#7 · Nandedcell 4850000172
distance 0.196
#8 · Nandedcell 4850000642
distance 0.197
#9 · Beedcell 4700004620
distance 0.199 · cross-district
#10 · Nandedcell 4850000287
distance 0.2
#11 · Nandedcell 4850002662
distance 0.2
#12 · Jalgaoncell 4780005952
distance 0.201 · cross-district
#13 · Chandrapurcell 4730001328
distance 0.202 · cross-district
#14 · Nandedcell 4850000397
distance 0.202
#15 · Chandrapurcell 4730002363
distance 0.206 · cross-district
#16 · Nandedcell 4850000880
distance 0.21
#17 · Nandedcell 4850007333
distance 0.211
#18 · Chandrapurcell 4730000619
distance 0.211 · 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":485,"cluster_id":4850000254}}}'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.