Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006427
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
0.074
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006343
distance 0.074
#2 · Nandedcell 4850005853
distance 0.076
#3 · Nandedcell 4850006177
distance 0.08
#4 · Hingolicell 4770000307
distance 0.088 · cross-district
#5 · Nandedcell 4850006345
distance 0.102
#6 · Nandedcell 4850006260
distance 0.102
#7 · Hingolicell 4770000357
distance 0.102 · cross-district
#8 · Nandedcell 4850006344
distance 0.107
#9 · Nandedcell 4850005335
distance 0.117
#10 · Nandedcell 4850006092
distance 0.121
#11 · Nandedcell 4850004268
distance 0.124
#12 · Hingolicell 4770000177
distance 0.125 · cross-district
#13 · Nandedcell 4850005852
distance 0.128
#14 · Nandedcell 4850004728
distance 0.132
#15 · Hingolicell 4770000209
distance 0.133 · cross-district
#16 · Hingolicell 4770000351
distance 0.133 · cross-district
#17 · Hingolicell 4770000358
distance 0.134 · cross-district
#18 · Nandedcell 4850005931
distance 0.135
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":4850006427}}}'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.