Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003243
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 6 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.177
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700002221
distance 0.177
#2 · Beedcell 4700005225
distance 0.188
#3 · Beedcell 4700004632
distance 0.192
#4 · Beedcell 4700001580
distance 0.198
#5 · Sanglicell 4930001742
distance 0.199 · cross-district
#6 · Solapurcell 4960000065
distance 0.2 · cross-district
#7 · Beedcell 4700002538
distance 0.201
#8 · Laturcell 4810002225
distance 0.206 · cross-district
#9 · Beedcell 4700004736
distance 0.207
#10 · Beedcell 4700004338
distance 0.207
#11 · Kolhapurcell 4800004264
distance 0.209 · cross-district
#12 · Kolhapurcell 4800005687
distance 0.209 · cross-district
#13 · Laturcell 4810003227
distance 0.209 · cross-district
#14 · Beedcell 4700003931
distance 0.21
#15 · Dharashivcell 4880001301
distance 0.211 · cross-district
#16 · Laturcell 4810002529
distance 0.211 · cross-district
#17 · Beedcell 4700004057
distance 0.212
#18 · Beedcell 4700001278
distance 0.212
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":4700003243}}}'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.