Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005360
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
0.085
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700004539
distance 0.085
#2 · Ahmednagarcell 4660004212
distance 0.1 · cross-district
#3 · Beedcell 4700004711
distance 0.113
#4 · Beedcell 4700005499
distance 0.116
#5 · Chhatrapati Sambhajinagarcell 4690002083
distance 0.129 · cross-district
#6 · Beedcell 4700003517
distance 0.133
#7 · Ahmednagarcell 4660004294
distance 0.136 · cross-district
#8 · Ahmednagarcell 4660004709
distance 0.139 · cross-district
#9 · Beedcell 4700004366
distance 0.152
#10 · Beedcell 4700006616
distance 0.159
#11 · Beedcell 4700005920
distance 0.159
#12 · Beedcell 4700006635
distance 0.163
#13 · Beedcell 4700004025
distance 0.163
#14 · Beedcell 4700006079
distance 0.166
#15 · Beedcell 4700004269
distance 0.175
#16 · Beedcell 4700004537
distance 0.177
#17 · Ahmednagarcell 4660002472
distance 0.177 · cross-district
#18 · Ahmednagarcell 4660002894
distance 0.179 · 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":4700005360}}}'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.