Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008648
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.25
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850008925
distance 0.25
#2 · Nandedcell 4850008670
distance 0.25
#3 · Nandedcell 4850008673
distance 0.253
#4 · Beedcell 4700007732
distance 0.253 · cross-district
#5 · Beedcell 4700008145
distance 0.257 · cross-district
#6 · Nandedcell 4850007368
distance 0.261
#7 · Nandedcell 4850001976
distance 0.263
#8 · Beedcell 4700008500
distance 0.266 · cross-district
#9 · Parbhanicell 4890003593
distance 0.268 · cross-district
#10 · Beedcell 4700008204
distance 0.268 · cross-district
#11 · Nandedcell 4850008709
distance 0.269
#12 · Nandedcell 4850002908
distance 0.27
#13 · Beedcell 4700007226
distance 0.271 · cross-district
#14 · Gadchirolicell 4750011895
distance 0.274 · cross-district
#15 · Nandedcell 4850005496
distance 0.277
#16 · Nandedcell 4850008189
distance 0.277
#17 · Nandedcell 4850006831
distance 0.278
#18 · Nandedcell 4850008743
distance 0.279
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":4850008648}}}'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.