Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700007708
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
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008668
distance 0.113
#2 · Jalnacell 4790003487
distance 0.116 · cross-district
#3 · Jalnacell 4790002716
distance 0.117 · cross-district
#4 · Beedcell 4700008097
distance 0.125
#5 · Beedcell 4700007612
distance 0.127
#6 · Jalnacell 4790004163
distance 0.127 · cross-district
#7 · Beedcell 4700007894
distance 0.129
#8 · Jalnacell 4790001558
distance 0.132 · cross-district
#9 · Buldhanacell 4720000500
distance 0.134 · cross-district
#10 · Jalnacell 4790002708
distance 0.135 · cross-district
#11 · Beedcell 4700003959
distance 0.137
#12 · Beedcell 4700007705
distance 0.137
#13 · Laturcell 4810000914
distance 0.14 · cross-district
#14 · Beedcell 4700008516
distance 0.14
#15 · Beedcell 4700007900
distance 0.14
#16 · Jalnacell 4790000895
distance 0.141 · cross-district
#17 · Beedcell 4700007898
distance 0.144
#18 · Beedcell 4700004981
distance 0.146
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":4700007708}}}'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.