Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770003422
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.21
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002532
distance 0.21
#2 · Hingolicell 4770002963
distance 0.246
#3 · Hingolicell 4770002451
distance 0.249
#4 · Buldhanacell 4720003379
distance 0.252 · cross-district
#5 · Hingolicell 4770003430
distance 0.254
#6 · Hingolicell 4770001868
distance 0.255
#7 · Akolacell 4670001882
distance 0.255 · cross-district
#8 · Hingolicell 4770002047
distance 0.257
#9 · Buldhanacell 4720004161
distance 0.257 · cross-district
#10 · Hingolicell 4770003198
distance 0.26
#11 · Hingolicell 4770001935
distance 0.26
#12 · Buldhanacell 4720004070
distance 0.261 · cross-district
#13 · Hingolicell 4770000792
distance 0.263
#14 · Akolacell 4670001671
distance 0.265 · cross-district
#15 · Hingolicell 4770003416
distance 0.266
#16 · Akolacell 4670001067
distance 0.267 · cross-district
#17 · Hingolicell 4770002649
distance 0.268
#18 · Hingolicell 4770001874
distance 0.27
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":4770003422}}}'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.