Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002168
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.136
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850001399
distance 0.136
#2 · Nandedcell 4850001691
distance 0.143
#3 · Nandedcell 4850002171
distance 0.152
#4 · Nandedcell 4850001275
distance 0.171
#5 · Nandedcell 4850001395
distance 0.185
#6 · Laturcell 4810005503
distance 0.187 · cross-district
#7 · Laturcell 4810004613
distance 0.198 · cross-district
#8 · Parbhanicell 4890000016
distance 0.202 · cross-district
#9 · Nandedcell 4850002352
distance 0.202
#10 · Laturcell 4810006062
distance 0.205 · cross-district
#11 · Nandedcell 4850002514
distance 0.21
#12 · Nandedcell 4850001690
distance 0.21
#13 · Laturcell 4810005357
distance 0.21 · cross-district
#14 · Laturcell 4810006146
distance 0.211 · cross-district
#15 · Nandedcell 4850001604
distance 0.212
#16 · Parbhanicell 4890000160
distance 0.215 · cross-district
#17 · Nandedcell 4850004264
distance 0.22
#18 · Nandedcell 4850001454
distance 0.224
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":4850002168}}}'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.