Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008856
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.121
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700007661
distance 0.121
#2 · Beedcell 4700008815
distance 0.137
#3 · Beedcell 4700007565
distance 0.139
#4 · Ahmednagarcell 4660008317
distance 0.149 · cross-district
#5 · Beedcell 4700007484
distance 0.158
#6 · Beedcell 4700008407
distance 0.178
#7 · Dharashivcell 4880004989
distance 0.179 · cross-district
#8 · Beedcell 4700007852
distance 0.182
#9 · Beedcell 4700008853
distance 0.184
#10 · Ahmednagarcell 4660007403
distance 0.192 · cross-district
#11 · Ahmednagarcell 4660008315
distance 0.192 · cross-district
#12 · Beedcell 4700007769
distance 0.195
#13 · Beedcell 4700007198
distance 0.197
#14 · Beedcell 4700002978
distance 0.198
#15 · Beedcell 4700008679
distance 0.198
#16 · Ahmednagarcell 4660008746
distance 0.2 · cross-district
#17 · Washimcell 4990002274
distance 0.2 · cross-district
#18 · Ahmednagarcell 4660007679
distance 0.203 · 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":4700008856}}}'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.