Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008231
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
0.043
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850008134
distance 0.043
#2 · Nandedcell 4850008232
distance 0.056
#3 · Nandedcell 4850008054
distance 0.065
#4 · Nandedcell 4850008680
distance 0.104
#5 · Nandedcell 4850008160
distance 0.114
#6 · Yavatmalcell 5000000490
distance 0.116 · cross-district
#7 · Nandedcell 4850008081
distance 0.117
#8 · Nandedcell 4850008948
distance 0.122
#9 · Yavatmalcell 5000000380
distance 0.124 · cross-district
#10 · Yavatmalcell 5000000379
distance 0.125 · cross-district
#11 · Nandedcell 4850008006
distance 0.127
#12 · Nandedcell 4850006878
distance 0.131
#13 · Yavatmalcell 5000000772
distance 0.133 · cross-district
#14 · Nandedcell 4850008906
distance 0.133
#15 · Nandedcell 4850008949
distance 0.133
#16 · Yavatmalcell 5000000597
distance 0.134 · cross-district
#17 · Nandedcell 4850008034
distance 0.134
#18 · Yavatmalcell 5000000434
distance 0.136 · 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":4850008231}}}'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.