Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001193
The MH-36 locality cells most similar to this Beed 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.107
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000808
distance 0.107
#2 · Beedcell 4700001195
distance 0.116
#3 · Beedcell 4700006148
distance 0.125
#4 · Solapurcell 4960001220
distance 0.135 · cross-district
#5 · Beedcell 4700001061
distance 0.141
#6 · Beedcell 4700000933
distance 0.143
#7 · Beedcell 4700007152
distance 0.144
#8 · Dharashivcell 4880001885
distance 0.145 · cross-district
#9 · Solapurcell 4960002663
distance 0.148 · cross-district
#10 · Solapurcell 4960001755
distance 0.148 · cross-district
#11 · Beedcell 4700001063
distance 0.149
#12 · Beedcell 4700007043
distance 0.149
#13 · Dharashivcell 4880004280
distance 0.152 · cross-district
#14 · Dharashivcell 4880002729
distance 0.153 · cross-district
#15 · Dharashivcell 4880004375
distance 0.153 · cross-district
#16 · Beedcell 4700000597
distance 0.155
#17 · Beedcell 4700006567
distance 0.155
#18 · Beedcell 4700006156
distance 0.156
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":470,"cluster_id":4700001193}}}'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.