Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700006851
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.144
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700003445
distance 0.144
#2 · Beedcell 4700006589
distance 0.146
#3 · Beedcell 4700008278
distance 0.147
#4 · Beedcell 4700007221
distance 0.147
#5 · Beedcell 4700008715
distance 0.164
#6 · Laturcell 4810001820
distance 0.165 · cross-district
#7 · Beedcell 4700004640
distance 0.166
#8 · Beedcell 4700006590
distance 0.166
#9 · Ahmednagarcell 4660008635
distance 0.167 · cross-district
#10 · Laturcell 4810001212
distance 0.169 · cross-district
#11 · Beedcell 4700000247
distance 0.17
#12 · Jalnacell 4790003483
distance 0.17 · cross-district
#13 · Jalnacell 4790003910
distance 0.174 · cross-district
#14 · Beedcell 4700008515
distance 0.178
#15 · Parbhanicell 4890000523
distance 0.18 · cross-district
#16 · Parbhanicell 4890002223
distance 0.181 · cross-district
#17 · Laturcell 4810001945
distance 0.181 · cross-district
#18 · Beedcell 4700000300
distance 0.183
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":4700006851}}}'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.