Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001300
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700001606
distance 0.129
#2 · Beedcell 4700003080
distance 0.131
#3 · Beedcell 4700001010
distance 0.137
#4 · Beedcell 4700002082
distance 0.141
#5 · Laturcell 4810001316
distance 0.162 · cross-district
#6 · Beedcell 4700000311
distance 0.167
#7 · Beedcell 4700001035
distance 0.169
#8 · Beedcell 4700001608
distance 0.172
#9 · Beedcell 4700000646
distance 0.176
#10 · Laturcell 4810001173
distance 0.183 · cross-district
#11 · Jalnacell 4790000615
distance 0.184 · cross-district
#12 · Chhatrapati Sambhajinagarcell 4690005846
distance 0.188 · cross-district
#13 · Beedcell 4700002559
distance 0.19
#14 · Solapurcell 4960001666
distance 0.194 · cross-district
#15 · Beedcell 4700002375
distance 0.196
#16 · Chhatrapati Sambhajinagarcell 4690006264
distance 0.197 · cross-district
#17 · Beedcell 4700002208
distance 0.198
#18 · Beedcell 4700001454
distance 0.198
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":4700001300}}}'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.