Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002003
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
0.148
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850001626
distance 0.148
#2 · Laturcell 4810004908
distance 0.194 · cross-district
#3 · Nandedcell 4850004243
distance 0.197
#4 · Laturcell 4810002830
distance 0.201 · cross-district
#5 · Beedcell 4700005455
distance 0.211 · cross-district
#6 · Nandedcell 4850001907
distance 0.212
#7 · Laturcell 4810004617
distance 0.221 · cross-district
#8 · Nandedcell 4850003197
distance 0.221
#9 · Nandedcell 4850004112
distance 0.222
#10 · Parbhanicell 4890000116
distance 0.223 · cross-district
#11 · Nandedcell 4850005401
distance 0.224
#12 · Laturcell 4810004413
distance 0.225 · cross-district
#13 · Nandedcell 4850004031
distance 0.225
#14 · Nandedcell 4850005190
distance 0.225
#15 · Beedcell 4700004802
distance 0.227 · cross-district
#16 · Nandedcell 4850001706
distance 0.227
#17 · Nandedcell 4850004259
distance 0.228
#18 · Nandedcell 4850005685
distance 0.229
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":4850002003}}}'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.