Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008857
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
0.188
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007891
distance 0.188
#2 · Nandedcell 4850007894
distance 0.219
#3 · Nandedcell 4850008367
distance 0.246
#4 · Yavatmalcell 5000000880
distance 0.261 · cross-district
#5 · Nandedcell 4850008124
distance 0.263
#6 · Jalgaoncell 4780007689
distance 0.277 · cross-district
#7 · Nandedcell 4850008341
distance 0.279
#8 · Nandedcell 4850008510
distance 0.288
#9 · Nandedcell 4850008918
distance 0.289
#10 · Gadchirolicell 4750004142
distance 0.29 · cross-district
#11 · Nandedcell 4850008150
distance 0.291
#12 · Nagpurcell 4840007059
distance 0.291 · cross-district
#13 · Yavatmalcell 5000000936
distance 0.3 · cross-district
#14 · Nandedcell 4850008149
distance 0.302
#15 · Nandedcell 4850007868
distance 0.304
#16 · Nandedcell 4850008121
distance 0.308
#17 · Nandedcell 4850008769
distance 0.31
#18 · Yavatmalcell 5000000039
distance 0.311 · 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":4850008857}}}'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.