Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940000589
The MH-36 locality cells most similar to this Satara 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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.177
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940000414
distance 0.177
#2 · Sataracell 4940000029
distance 0.232
#3 · Sataracell 4940006377
distance 0.236
#4 · Sataracell 4940000932
distance 0.236
#5 · Sataracell 4940001045
distance 0.239
#6 · Sataracell 4940000072
distance 0.24
#7 · Sataracell 4940000178
distance 0.246
#8 · Sanglicell 4930006445
distance 0.246 · cross-district
#9 · Chhatrapati Sambhajinagarcell 4690003978
distance 0.247 · cross-district
#10 · Sataracell 4940000929
distance 0.248
#11 · Sataracell 4940000984
distance 0.249
#12 · Sataracell 4940000978
distance 0.249
#13 · Solapurcell 4960010057
distance 0.251 · cross-district
#14 · Sataracell 4940000875
distance 0.251
#15 · Sataracell 4940000762
distance 0.252
#16 · Solapurcell 4960009403
distance 0.254 · cross-district
#17 · Sataracell 4940006156
distance 0.255
#18 · Kolhapurcell 4800003718
distance 0.255 · 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":494,"cluster_id":4940000589}}}'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.