Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000743
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
0.151
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000316
distance 0.151
#2 · Nandedcell 4850001281
distance 0.16
#3 · Nandedcell 4850000318
distance 0.161
#4 · Nandedcell 4850000365
distance 0.176
#5 · Chandrapurcell 4730000865
distance 0.179 · cross-district
#6 · Nandedcell 4850000744
distance 0.18
#7 · Beedcell 4700003098
distance 0.183 · cross-district
#8 · Nandedcell 4850000364
distance 0.184
#9 · Beedcell 4700002266
distance 0.191 · cross-district
#10 · Beedcell 4700003276
distance 0.191 · cross-district
#11 · Laturcell 4810004641
distance 0.195 · cross-district
#12 · Beedcell 4700001933
distance 0.196 · cross-district
#13 · Nandedcell 4850000579
distance 0.196
#14 · Nandedcell 4850000156
distance 0.196
#15 · Beedcell 4700004450
distance 0.198 · cross-district
#16 · Nandedcell 4850000255
distance 0.198
#17 · Nandedcell 4850000889
distance 0.2
#18 · Nandedcell 4850001414
distance 0.201
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":4850000743}}}'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.