Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002202
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
0.181
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850001861
distance 0.181
#2 · Nandedcell 4850000806
distance 0.188
#3 · Nandedcell 4850000513
distance 0.197
#4 · Jalnacell 4790004072
distance 0.199 · cross-district
#5 · Nandedcell 4850001354
distance 0.2
#6 · Yavatmalcell 5000001570
distance 0.202 · cross-district
#7 · Nandedcell 4850002563
distance 0.203
#8 · Nandedcell 4850001642
distance 0.206
#9 · Nandedcell 4850000550
distance 0.207
#10 · Nandedcell 4850000909
distance 0.208
#11 · Nandedcell 4850000164
distance 0.212
#12 · Nandedcell 4850001711
distance 0.22
#13 · Nandedcell 4850000412
distance 0.222
#14 · Nandedcell 4850001718
distance 0.224
#15 · Washimcell 4990003349
distance 0.228 · cross-district
#16 · Washimcell 4990003945
distance 0.234 · cross-district
#17 · Dharashivcell 4880000303
distance 0.234 · cross-district
#18 · Washimcell 4990002676
distance 0.234 · cross-district
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":4850002202}}}'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.