Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007284
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.155
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000175
distance 0.155 · cross-district
#2 · Nandedcell 4850006689
distance 0.163
#3 · Nandedcell 4850007216
distance 0.165
#4 · Nandedcell 4850007009
distance 0.166
#5 · Nandedcell 4850006780
distance 0.17
#6 · Nandedcell 4850006784
distance 0.175
#7 · Nandedcell 4850007341
distance 0.18
#8 · Yavatmalcell 5000000125
distance 0.182 · cross-district
#9 · Nandedcell 4850007096
distance 0.182
#10 · Nandedcell 4850007011
distance 0.182
#11 · Yavatmalcell 5000001653
distance 0.187 · cross-district
#12 · Yavatmalcell 5000001647
distance 0.188 · cross-district
#13 · Nandedcell 4850006837
distance 0.191
#14 · Nandedcell 4850007488
distance 0.192
#15 · Nandedcell 4850006834
distance 0.193
#16 · Nandedcell 4850006709
distance 0.193
#17 · Yavatmalcell 5000000163
distance 0.195 · cross-district
#18 · Yavatmalcell 5000000216
distance 0.195 · 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":4850007284}}}'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.