Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720004864
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.08
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720006765
distance 0.08
#2 · Akolacell 4670001616
distance 0.086 · cross-district
#3 · Buldhanacell 4720005602
distance 0.087
#4 · Buldhanacell 4720003805
distance 0.097
#5 · Buldhanacell 4720005475
distance 0.098
#6 · Buldhanacell 4720006149
distance 0.099
#7 · Akolacell 4670001978
distance 0.101 · cross-district
#8 · Buldhanacell 4720005073
distance 0.102
#9 · Buldhanacell 4720006566
distance 0.106
#10 · Buldhanacell 4720005687
distance 0.107
#11 · Buldhanacell 4720005668
distance 0.111
#12 · Akolacell 4670001161
distance 0.111 · cross-district
#13 · Buldhanacell 4720004646
distance 0.111
#14 · Buldhanacell 4720004571
distance 0.111
#15 · Buldhanacell 4720006661
distance 0.115
#16 · Akolacell 4670002878
distance 0.116 · cross-district
#17 · Buldhanacell 4720005599
distance 0.117
#18 · Akolacell 4670000927
distance 0.118 · 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":4720004864}}}'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.