Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002421
The MH-36 locality cells most similar to this Sangli 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.111
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930001922
distance 0.111
#2 · Sanglicell 4930002420
distance 0.146
#3 · Sanglicell 4930001923
distance 0.151
#4 · Solapurcell 4960012401
distance 0.158 · cross-district
#5 · Sanglicell 4930001919
distance 0.164
#6 · Sanglicell 4930002419
distance 0.164
#7 · Sanglicell 4930002092
distance 0.167
#8 · Sanglicell 4930005125
distance 0.176
#9 · Sanglicell 4930000506
distance 0.179
#10 · Solapurcell 4960000331
distance 0.182 · cross-district
#11 · Sanglicell 4930000505
distance 0.183
#12 · Sanglicell 4930002760
distance 0.19
#13 · Sanglicell 4930002425
distance 0.191
#14 · Chhatrapati Sambhajinagarcell 4690007855
distance 0.193 · cross-district
#15 · Solapurcell 4960012402
distance 0.193 · cross-district
#16 · Sanglicell 4930001602
distance 0.198
#17 · Sanglicell 4930001758
distance 0.199
#18 · Solapurcell 4960012464
distance 0.202 · 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":493,"cluster_id":4930002421}}}'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.