Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720005270
The MH-36 locality cells most similar to this Buldhana 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
0.063
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720005281
distance 0.063
#2 · Akolacell 4670000749
distance 0.109 · cross-district
#3 · Buldhanacell 4720005062
distance 0.111
#4 · Buldhanacell 4720005580
distance 0.112
#5 · Buldhanacell 4720006405
distance 0.113
#6 · Buldhanacell 4720004801
distance 0.114
#7 · Buldhanacell 4720004829
distance 0.117
#8 · Buldhanacell 4720006101
distance 0.118
#9 · Buldhanacell 4720005941
distance 0.118
#10 · Buldhanacell 4720006410
distance 0.121
#11 · Buldhanacell 4720006124
distance 0.122
#12 · Washimcell 4990000887
distance 0.123 · cross-district
#13 · Buldhanacell 4720005447
distance 0.127
#14 · Washimcell 4990000363
distance 0.129 · cross-district
#15 · Beedcell 4700006292
distance 0.13 · cross-district
#16 · Buldhanacell 4720005734
distance 0.131
#17 · Buldhanacell 4720006481
distance 0.132
#18 · Washimcell 4990001280
distance 0.132 · 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":472,"cluster_id":4720005270}}}'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.