Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940000913
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.211
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940001384
distance 0.211
#2 · Sataracell 4940001208
distance 0.233
#3 · Sataracell 4940001265
distance 0.257
#4 · Sataracell 4940001083
distance 0.257
#5 · Sataracell 4940001147
distance 0.267
#6 · Sataracell 4940001321
distance 0.278
#7 · Ratnagiricell 4920003176
distance 0.286 · cross-district
#8 · Sataracell 4940001027
distance 0.3
#9 · Chhatrapati Sambhajinagarcell 4690008545
distance 0.31 · cross-district
#10 · Sataracell 4940001327
distance 0.318
#11 · Ratnagiricell 4920005031
distance 0.319 · cross-district
#12 · Sataracell 4940001333
distance 0.319
#13 · Beedcell 4700003379
distance 0.32 · cross-district
#14 · Ratnagiricell 4920004737
distance 0.321 · cross-district
#15 · Sataracell 4940000742
distance 0.329
#16 · Sataracell 4940001324
distance 0.331
#17 · Sataracell 4940001029
distance 0.336
#18 · Sataracell 4940001085
distance 0.337
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":4940000913}}}'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.