Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006445
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.169
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850005226
distance 0.169
#2 · Nandedcell 4850006428
distance 0.184
#3 · Nandedcell 4850005561
distance 0.186
#4 · Yavatmalcell 5000000203
distance 0.186 · cross-district
#5 · Nandedcell 4850007685
distance 0.197
#6 · Nandedcell 4850006633
distance 0.199
#7 · Nandedcell 4850006768
distance 0.201
#8 · Yavatmalcell 5000000396
distance 0.202 · cross-district
#9 · Yavatmalcell 5000000385
distance 0.209 · cross-district
#10 · Yavatmalcell 5000000387
distance 0.211 · cross-district
#11 · Nandedcell 4850006630
distance 0.212
#12 · Yavatmalcell 5000001248
distance 0.214 · cross-district
#13 · Nandedcell 4850006191
distance 0.214
#14 · Yavatmalcell 5000000254
distance 0.216 · cross-district
#15 · Nandedcell 4850007600
distance 0.218
#16 · Nandedcell 4850007887
distance 0.219
#17 · Nandedcell 4850006914
distance 0.22
#18 · Nandedcell 4850007645
distance 0.22
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":4850006445}}}'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.