Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720004449
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.078
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720004451
distance 0.078
#2 · Buldhanacell 4720004447
distance 0.107
#3 · Buldhanacell 4720008381
distance 0.114
#4 · Buldhanacell 4720008354
distance 0.117
#5 · Buldhanacell 4720008396
distance 0.125
#6 · Buldhanacell 4720008352
distance 0.128
#7 · Buldhanacell 4720008350
distance 0.129
#8 · Buldhanacell 4720008433
distance 0.136
#9 · Buldhanacell 4720008369
distance 0.138
#10 · Amravaticell 4680005181
distance 0.143 · cross-district
#11 · Amravaticell 4680006531
distance 0.144 · cross-district
#12 · Buldhanacell 4720008385
distance 0.146
#13 · Buldhanacell 4720008383
distance 0.147
#14 · Amravaticell 4680006967
distance 0.148 · cross-district
#15 · Buldhanacell 4720008364
distance 0.149
#16 · Amravaticell 4680006530
distance 0.149 · cross-district
#17 · Buldhanacell 4720004532
distance 0.151
#18 · Buldhanacell 4720008368
distance 0.155
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":4720004449}}}'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.