Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002385
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
0.92
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 4850001432
distance 0.151
#2 · Nandedcell 4850001791
distance 0.152
#3 · Nandedcell 4850000951
distance 0.155
#4 · Nandedcell 4850001565
distance 0.156
#5 · Nandedcell 4850001956
distance 0.159
#6 · Nandedcell 4850001574
distance 0.165
#7 · Nandedcell 4850002747
distance 0.166
#8 · Nandedcell 4850001799
distance 0.169
#9 · Beedcell 4700008176
distance 0.17 · cross-district
#10 · Washimcell 4990002226
distance 0.171 · cross-district
#11 · Hingolicell 4770004005
distance 0.178 · cross-district
#12 · Nandedcell 4850001656
distance 0.18
#13 · Beedcell 4700004968
distance 0.181 · cross-district
#14 · Beedcell 4700007435
distance 0.187 · cross-district
#15 · Nandedcell 4850001965
distance 0.188
#16 · Solapurcell 4960006673
distance 0.189 · cross-district
#17 · Washimcell 4990003014
distance 0.19 · cross-district
#18 · Nandedcell 4850002739
distance 0.191
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":4850002385}}}'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.