Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001170
The MH-36 locality cells most similar to this Hingoli 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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.186
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001169
distance 0.186
#2 · Hingolicell 4770002534
distance 0.189
#3 · Hingolicell 4770001462
distance 0.212
#4 · Hingolicell 4770000867
distance 0.224
#5 · Hingolicell 4770001572
distance 0.227
#6 · Hingolicell 4770001409
distance 0.23
#7 · Nagpurcell 4840006911
distance 0.233 · cross-district
#8 · Hingolicell 4770001405
distance 0.236
#9 · Hingolicell 4770001340
distance 0.238
#10 · Buldhanacell 4720005851
distance 0.242 · cross-district
#11 · Hingolicell 4770001515
distance 0.242
#12 · Hingolicell 4770001826
distance 0.242
#13 · Hingolicell 4770000433
distance 0.243
#14 · Hingolicell 4770001406
distance 0.245
#15 · Akolacell 4670000454
distance 0.246 · cross-district
#16 · Hingolicell 4770000865
distance 0.246
#17 · Buldhanacell 4720007941
distance 0.254 · cross-district
#18 · Buldhanacell 4720008022
distance 0.254 · 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":477,"cluster_id":4770001170}}}'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.