Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007274
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
45
morphology-v2 feature dimensions
Closest twin distance
0.08
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007597
distance 0.08
#2 · Yavatmalcell 5000000456
distance 0.11 · cross-district
#3 · Nandedcell 4850007827
distance 0.124
#4 · Nandedcell 4850007596
distance 0.124
#5 · Nandedcell 4850007059
distance 0.127
#6 · Nandedcell 4850007648
distance 0.139
#7 · Yavatmalcell 5000000242
distance 0.144 · cross-district
#8 · Nandedcell 4850007647
distance 0.154
#9 · Nandedcell 4850007645
distance 0.173
#10 · Nandedcell 4850006605
distance 0.181
#11 · Nandedcell 4850003691
distance 0.188
#12 · Yavatmalcell 5000000387
distance 0.19 · cross-district
#13 · Nandedcell 4850007345
distance 0.192
#14 · Nandedcell 4850006205
distance 0.196
#15 · Nandedcell 4850002680
distance 0.198
#16 · Yavatmalcell 5000000622
distance 0.2 · cross-district
#17 · Yavatmalcell 5000000248
distance 0.201 · cross-district
#18 · Yavatmalcell 5000000297
distance 0.201 · 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":4850007274}}}'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.