Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720004359
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
0.079
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720004433
distance 0.079
#2 · Buldhanacell 4720004510
distance 0.083
#3 · Buldhanacell 4720004803
distance 0.089
#4 · Buldhanacell 4720004360
distance 0.09
#5 · Buldhanacell 4720006659
distance 0.092
#6 · Akolacell 4670001344
distance 0.094 · cross-district
#7 · Buldhanacell 4720006242
distance 0.101
#8 · Buldhanacell 4720004442
distance 0.103
#9 · Akolacell 4670001406
distance 0.103 · cross-district
#10 · Buldhanacell 4720006658
distance 0.103
#11 · Buldhanacell 4720005022
distance 0.103
#12 · Akolacell 4670001043
distance 0.104 · cross-district
#13 · Akolacell 4670001215
distance 0.105 · cross-district
#14 · Buldhanacell 4720005529
distance 0.107
#15 · Buldhanacell 4720003676
distance 0.107
#16 · Buldhanacell 4720005640
distance 0.109
#17 · Akolacell 4670001214
distance 0.109 · cross-district
#18 · Buldhanacell 4720004126
distance 0.11
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":4720004359}}}'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.