Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005057
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.161
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005216
distance 0.161
#2 · Beedcell 4700005058
distance 0.162
#3 · Beedcell 4700005214
distance 0.177
#4 · Beedcell 4700005217
distance 0.179
#5 · Beedcell 4700005211
distance 0.181
#6 · Beedcell 4700005056
distance 0.191
#7 · Beedcell 4700005354
distance 0.195
#8 · Beedcell 4700005645
distance 0.196
#9 · Beedcell 4700006359
distance 0.196
#10 · Beedcell 4700005648
distance 0.207
#11 · Beedcell 4700006067
distance 0.208
#12 · Ahmednagarcell 4660004452
distance 0.21 · cross-district
#13 · Ahmednagarcell 4660004375
distance 0.214 · cross-district
#14 · Chhatrapati Sambhajinagarcell 4690000865
distance 0.214 · cross-district
#15 · Solapurcell 4960008432
distance 0.218 · cross-district
#16 · Ahmednagarcell 4660004538
distance 0.219 · cross-district
#17 · Beedcell 4700004721
distance 0.223
#18 · Ahmednagarcell 4660002808
distance 0.225 · 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":4700005057}}}'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.