Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008519
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.081
lower = more alike (weighted)
The twins, closest first
#1 · Jalnacell 4790000081
distance 0.081 · cross-district
#2 · Beedcell 4700008651
distance 0.095
#3 · Beedcell 4700008590
distance 0.098
#4 · Beedcell 4700008810
distance 0.101
#5 · Jalnacell 4790000051
distance 0.102 · cross-district
#6 · Jalnacell 4790000224
distance 0.103 · cross-district
#7 · Beedcell 4700008657
distance 0.104
#8 · Beedcell 4700008524
distance 0.106
#9 · Beedcell 4700008437
distance 0.107
#10 · Beedcell 4700008267
distance 0.117
#11 · Jalnacell 4790000815
distance 0.128 · cross-district
#12 · Beedcell 4700008449
distance 0.129
#13 · Jalnacell 4790000225
distance 0.131 · cross-district
#14 · Jalnacell 4790000816
distance 0.132 · cross-district
#15 · Jalnacell 4790002467
distance 0.133 · cross-district
#16 · Beedcell 4700008452
distance 0.134
#17 · Jalnacell 4790000827
distance 0.139 · cross-district
#18 · Beedcell 4700007251
distance 0.139
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":4700008519}}}'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.