Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005847
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.125
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006131
distance 0.125
#2 · Beedcell 4700006534
distance 0.13
#3 · Beedcell 4700005267
distance 0.132
#4 · Beedcell 4700005704
distance 0.17
#5 · Beedcell 4700006925
distance 0.174
#6 · Chhatrapati Sambhajinagarcell 4690003179
distance 0.174 · cross-district
#7 · Beedcell 4700001885
distance 0.175
#8 · Jalgaoncell 4780002079
distance 0.178 · cross-district
#9 · Beedcell 4700002531
distance 0.186
#10 · Beedcell 4700006546
distance 0.187
#11 · Chhatrapati Sambhajinagarcell 4690004969
distance 0.189 · cross-district
#12 · Chhatrapati Sambhajinagarcell 4690004432
distance 0.19 · cross-district
#13 · Beedcell 4700000652
distance 0.19
#14 · Sanglicell 4930001322
distance 0.191 · cross-district
#15 · Beedcell 4700006900
distance 0.192
#16 · Beedcell 4700005846
distance 0.193
#17 · Beedcell 4700006102
distance 0.194
#18 · Beedcell 4700000861
distance 0.196
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":4700005847}}}'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.