Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006631
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
0.218
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006629
distance 0.218
#2 · Yavatmalcell 5000000176
distance 0.224 · cross-district
#3 · Nandedcell 4850005293
distance 0.234
#4 · Nandedcell 4850006446
distance 0.245
#5 · Hingolicell 4770000360
distance 0.246 · cross-district
#6 · Yavatmalcell 5000000356
distance 0.254 · cross-district
#7 · Nandedcell 4850007344
distance 0.255
#8 · Nandedcell 4850007701
distance 0.265
#9 · Nandedcell 4850005112
distance 0.265
#10 · Nandedcell 4850006301
distance 0.268
#11 · Nandedcell 4850007134
distance 0.268
#12 · Yavatmalcell 5000000838
distance 0.269 · cross-district
#13 · Yavatmalcell 5000001195
distance 0.27 · cross-district
#14 · Nandedcell 4850003923
distance 0.276
#15 · Nandedcell 4850005091
distance 0.277
#16 · Nandedcell 4850007014
distance 0.278
#17 · Nandedcell 4850006185
distance 0.28
#18 · Yavatmalcell 5000000165
distance 0.281 · 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":4850006631}}}'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.