Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940006839
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
44
morphology-v2 feature dimensions
Closest twin distance
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940006838
distance 0.113
#2 · Sataracell 4940007057
distance 0.137
#3 · Sataracell 4940006947
distance 0.143
#4 · Sataracell 4940006948
distance 0.151
#5 · Sataracell 4940006840
distance 0.167
#6 · Sataracell 4940007585
distance 0.17
#7 · Sataracell 4940007183
distance 0.171
#8 · Solapurcell 4960008132
distance 0.174 · cross-district
#9 · Sataracell 4940007075
distance 0.183
#10 · Kolhapurcell 4800005220
distance 0.194 · cross-district
#11 · Ahmednagarcell 4660006758
distance 0.206 · cross-district
#12 · Sataracell 4940004297
distance 0.207
#13 · Ahmednagarcell 4660006759
distance 0.211 · cross-district
#14 · Sataracell 4940007292
distance 0.219
#15 · Nashikcell 4870006888
distance 0.22 · cross-district
#16 · Nashikcell 4870007184
distance 0.227 · cross-district
#17 · Sataracell 4940006946
distance 0.228
#18 · Sataracell 4940007400
distance 0.228
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":4940006839}}}'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.