Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005310
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
0.11
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700004473
distance 0.11
#2 · Beedcell 4700006842
distance 0.152
#3 · Beedcell 4700001612
distance 0.155
#4 · Laturcell 4810002317
distance 0.167 · cross-district
#5 · Jalnacell 4790003829
distance 0.167 · cross-district
#6 · Laturcell 4810001401
distance 0.171 · cross-district
#7 · Beedcell 4700004645
distance 0.172
#8 · Beedcell 4700008581
distance 0.175
#9 · Beedcell 4700004989
distance 0.177
#10 · Dharashivcell 4880004252
distance 0.188 · cross-district
#11 · Nandedcell 4850002492
distance 0.19 · cross-district
#12 · Beedcell 4700006590
distance 0.191
#13 · Laturcell 4810001724
distance 0.192 · cross-district
#14 · Beedcell 4700000189
distance 0.192
#15 · Beedcell 4700005157
distance 0.192
#16 · Beedcell 4700000256
distance 0.194
#17 · Jalnacell 4790003912
distance 0.194 · cross-district
#18 · Washimcell 4990001916
distance 0.195 · 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":4700005310}}}'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.