Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850001353
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.182
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850001434
distance 0.182
#2 · Nandedcell 4850001722
distance 0.191
#3 · Nandedcell 4850001068
distance 0.202
#4 · Nandedcell 4850002038
distance 0.203
#5 · Nandedcell 4850000748
distance 0.207
#6 · Nandedcell 4850001788
distance 0.211
#7 · Nandedcell 4850000372
distance 0.213
#8 · Nandedcell 4850001114
distance 0.219
#9 · Washimcell 4990002223
distance 0.222 · cross-district
#10 · Nandedcell 4850000669
distance 0.222
#11 · Akolacell 4670001240
distance 0.227 · cross-district
#12 · Nandedcell 4850001227
distance 0.229
#13 · Jalnacell 4790000158
distance 0.229 · cross-district
#14 · Hingolicell 4770000506
distance 0.23 · cross-district
#15 · Nandedcell 4850000312
distance 0.23
#16 · Beedcell 4700001312
distance 0.232 · cross-district
#17 · Washimcell 4990001594
distance 0.233 · cross-district
#18 · Hingolicell 4770001489
distance 0.236 · 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":4850001353}}}'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.