Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002297
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
0.131
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850001487
distance 0.131
#2 · Nandedcell 4850001179
distance 0.154
#3 · Nandedcell 4850001009
distance 0.158
#4 · Chandrapurcell 4730001330
distance 0.166 · cross-district
#5 · Nandedcell 4850000898
distance 0.168
#6 · Nandedcell 4850002206
distance 0.172
#7 · Nandedcell 4850001174
distance 0.172
#8 · Nandedcell 4850001293
distance 0.184
#9 · Nandedcell 4850001958
distance 0.186
#10 · Jalnacell 4790000400
distance 0.186 · cross-district
#11 · Washimcell 4990003230
distance 0.187 · cross-district
#12 · Hingolicell 4770000186
distance 0.188 · cross-district
#13 · Nandedcell 4850000942
distance 0.189
#14 · Nandedcell 4850001170
distance 0.19
#15 · Washimcell 4990001416
distance 0.19 · cross-district
#16 · Laturcell 4810002635
distance 0.193 · cross-district
#17 · Nandedcell 4850001878
distance 0.193
#18 · Nandedcell 4850001430
distance 0.195
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":4850002297}}}'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.