Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700000598
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.059
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000706
distance 0.059
#2 · Beedcell 4700000812
distance 0.101
#3 · Beedcell 4700001199
distance 0.114
#4 · Beedcell 4700000601
distance 0.123
#5 · Beedcell 4700001067
distance 0.124
#6 · Beedcell 4700000403
distance 0.128
#7 · Dharashivcell 4880004817
distance 0.131 · cross-district
#8 · Beedcell 4700006000
distance 0.133
#9 · Beedcell 4700000125
distance 0.134
#10 · Dharashivcell 4880004548
distance 0.135 · cross-district
#11 · Beedcell 4700000814
distance 0.136
#12 · Dharashivcell 4880000984
distance 0.137 · cross-district
#13 · Dharashivcell 4880004459
distance 0.137 · cross-district
#14 · Beedcell 4700000216
distance 0.138
#15 · Beedcell 4700003971
distance 0.139
#16 · Dharashivcell 4880006084
distance 0.141 · cross-district
#17 · Dharashivcell 4880004706
distance 0.143 · cross-district
#18 · Dharashivcell 4880005007
distance 0.146 · 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":470,"cluster_id":4700000598}}}'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.