Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002521
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
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850002076
distance 0.129
#2 · Nandedcell 4850002623
distance 0.173
#3 · Nandedcell 4850002270
distance 0.176
#4 · Nandedcell 4850001384
distance 0.179
#5 · Nandedcell 4850002191
distance 0.191
#6 · Nandedcell 4850003614
distance 0.194
#7 · Nandedcell 4850002631
distance 0.195
#8 · Laturcell 4810001101
distance 0.214 · cross-district
#9 · Laturcell 4810006031
distance 0.216 · cross-district
#10 · Solapurcell 4960000545
distance 0.218 · cross-district
#11 · Nandedcell 4850002267
distance 0.219
#12 · Nandedcell 4850001552
distance 0.22
#13 · Nandedcell 4850001333
distance 0.22
#14 · Beedcell 4700004650
distance 0.224 · cross-district
#15 · Chhatrapati Sambhajinagarcell 4690000143
distance 0.228 · cross-district
#16 · Nandedcell 4850001380
distance 0.233
#17 · Beedcell 4700001615
distance 0.236 · cross-district
#18 · Nandedcell 4850002016
distance 0.236
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":4850002521}}}'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.