Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002949
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.134
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003974
distance 0.134
#2 · Sanglicell 4930002772
distance 0.145
#3 · Sanglicell 4930003461
distance 0.16
#4 · Sanglicell 4930002427
distance 0.177
#5 · Sanglicell 4930002905
distance 0.198
#6 · Beedcell 4700002871
distance 0.199 · cross-district
#7 · Sanglicell 4930002780
distance 0.199
#8 · Sanglicell 4930003983
distance 0.202
#9 · Sanglicell 4930001588
distance 0.202
#10 · Sanglicell 4930001938
distance 0.204
#11 · Beedcell 4700002857
distance 0.206 · cross-district
#12 · Solapurcell 4960012430
distance 0.207 · cross-district
#13 · Laturcell 4810001006
distance 0.207 · cross-district
#14 · Sanglicell 4930002302
distance 0.207
#15 · Beedcell 4700002875
distance 0.209 · cross-district
#16 · Beedcell 4700005079
distance 0.211 · cross-district
#17 · Sanglicell 4930002237
distance 0.216
#18 · Beedcell 4700002679
distance 0.222 · 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":4930002949}}}'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.