Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001824
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
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700002305
distance 0.167
#2 · Beedcell 4700002981
distance 0.17
#3 · Beedcell 4700001379
distance 0.172
#4 · Ahmednagarcell 4660001478
distance 0.184 · cross-district
#5 · Beedcell 4700001238
distance 0.187
#6 · Sanglicell 4930000863
distance 0.187 · cross-district
#7 · Beedcell 4700005659
distance 0.191
#8 · Ahmednagarcell 4660002502
distance 0.191 · cross-district
#9 · Beedcell 4700001681
distance 0.199
#10 · Beedcell 4700008990
distance 0.204
#11 · Sanglicell 4930000753
distance 0.205 · cross-district
#12 · Beedcell 4700006209
distance 0.205
#13 · Ahmednagarcell 4660001578
distance 0.207 · cross-district
#14 · Beedcell 4700001825
distance 0.207
#15 · Ahmednagarcell 4660002192
distance 0.207 · cross-district
#16 · Beedcell 4700003150
distance 0.21
#17 · Ahmednagarcell 4660002498
distance 0.214 · cross-district
#18 · Beedcell 4700001374
distance 0.215
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":4700001824}}}'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.