Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003735
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.23
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005078
distance 0.23
#2 · Beedcell 4700004935
distance 0.237
#3 · Sanglicell 4930002780
distance 0.239 · cross-district
#4 · Beedcell 4700005235
distance 0.241
#5 · Beedcell 4700004931
distance 0.246
#6 · Sanglicell 4930003974
distance 0.249 · cross-district
#7 · Beedcell 4700004928
distance 0.252
#8 · Sanglicell 4930003932
distance 0.265 · cross-district
#9 · Beedcell 4700005075
distance 0.267
#10 · Sataracell 4940004192
distance 0.267 · cross-district
#11 · Sanglicell 4930003100
distance 0.268 · cross-district
#12 · Beedcell 4700005836
distance 0.27
#13 · Sanglicell 4930004712
distance 0.272 · cross-district
#14 · Sanglicell 4930005579
distance 0.278 · cross-district
#15 · Beedcell 4700004927
distance 0.28
#16 · Sanglicell 4930004137
distance 0.283 · cross-district
#17 · Beedcell 4700004397
distance 0.283
#18 · Beedcell 4700003859
distance 0.284
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":4700003735}}}'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.