Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001576
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700001044
distance 0.109
#2 · Beedcell 4700001137
distance 0.112
#3 · Dharashivcell 4880004367
distance 0.113 · cross-district
#4 · Beedcell 4700001445
distance 0.114
#5 · Beedcell 4700000649
distance 0.114
#6 · Dharashivcell 4880006275
distance 0.114 · cross-district
#7 · Beedcell 4700001275
distance 0.117
#8 · Beedcell 4700000449
distance 0.12
#9 · Beedcell 4700001590
distance 0.121
#10 · Dharashivcell 4880004715
distance 0.123 · cross-district
#11 · Dharashivcell 4880005661
distance 0.123 · cross-district
#12 · Beedcell 4700000373
distance 0.124
#13 · Beedcell 4700002373
distance 0.124
#14 · Beedcell 4700001173
distance 0.127
#15 · Beedcell 4700000400
distance 0.128
#16 · Sanglicell 4930001066
distance 0.131 · cross-district
#17 · Dharashivcell 4880004368
distance 0.133 · cross-district
#18 · Dharashivcell 4880005205
distance 0.134 · 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":4700001576}}}'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.