Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850003716
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.11
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850004632
distance 0.11
#2 · Nandedcell 4850003937
distance 0.158
#3 · Akolacell 4670000920
distance 0.163 · cross-district
#4 · Nandedcell 4850004489
distance 0.177
#5 · Nandedcell 4850006893
distance 0.183
#6 · Nandedcell 4850004431
distance 0.187
#7 · Nandedcell 4850004495
distance 0.195
#8 · Beedcell 4700008458
distance 0.196 · cross-district
#9 · Washimcell 4990003587
distance 0.199 · cross-district
#10 · Nandedcell 4850003696
distance 0.204
#11 · Akolacell 4670000919
distance 0.206 · cross-district
#12 · Nandedcell 4850004427
distance 0.206
#13 · Washimcell 4990002545
distance 0.207 · cross-district
#14 · Nandedcell 4850004212
distance 0.21
#15 · Nandedcell 4850003788
distance 0.214
#16 · Yavatmalcell 5000001921
distance 0.219 · cross-district
#17 · Nandedcell 4850003851
distance 0.22
#18 · Washimcell 4990002862
distance 0.221 · 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":4850003716}}}'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.