Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006983
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
0.116
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006678
distance 0.116
#2 · Nandedcell 4850007762
distance 0.118
#3 · Nandedcell 4850007644
distance 0.128
#4 · Nandedcell 4850007797
distance 0.138
#5 · Nandedcell 4850006196
distance 0.15
#6 · Nandedcell 4850007415
distance 0.159
#7 · Yavatmalcell 5000000457
distance 0.166 · cross-district
#8 · Nandedcell 4850005641
distance 0.184
#9 · Yavatmalcell 5000000297
distance 0.187 · cross-district
#10 · Nandedcell 4850006390
distance 0.188
#11 · Nandedcell 4850003485
distance 0.202
#12 · Nandedcell 4850005171
distance 0.212
#13 · Nandedcell 4850005568
distance 0.221
#14 · Nandedcell 4850007726
distance 0.224
#15 · Yavatmalcell 5000000387
distance 0.224 · cross-district
#16 · Yavatmalcell 5000000254
distance 0.227 · cross-district
#17 · Nandedcell 4850002584
distance 0.231
#18 · Yavatmalcell 5000000629
distance 0.234 · 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":4850006983}}}'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.