Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002765
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.144
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002939
distance 0.144
#2 · Sanglicell 4930002430
distance 0.164
#3 · Sanglicell 4930001583
distance 0.166
#4 · Sanglicell 4930000232
distance 0.168
#5 · Beedcell 4700002037
distance 0.183 · cross-district
#6 · Sanglicell 4930001777
distance 0.185
#7 · Sanglicell 4930003107
distance 0.188
#8 · Beedcell 4700006510
distance 0.19 · cross-district
#9 · Beedcell 4700002682
distance 0.19 · cross-district
#10 · Sanglicell 4930003981
distance 0.19
#11 · Beedcell 4700005528
distance 0.196 · cross-district
#12 · Beedcell 4700002197
distance 0.197 · cross-district
#13 · Sanglicell 4930003120
distance 0.198
#14 · Sanglicell 4930002474
distance 0.198
#15 · Beedcell 4700006091
distance 0.198 · cross-district
#16 · Beedcell 4700002065
distance 0.199 · cross-district
#17 · Sanglicell 4930001741
distance 0.2
#18 · Beedcell 4700001875
distance 0.2 · 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":4930002765}}}'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.