Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003299
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
0.118
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002093
distance 0.118
#2 · Beedcell 4700004918
distance 0.121 · cross-district
#3 · Sanglicell 4930002951
distance 0.124
#4 · Sanglicell 4930003077
distance 0.129
#5 · Beedcell 4700005082
distance 0.14 · cross-district
#6 · Sanglicell 4930003252
distance 0.142
#7 · Sanglicell 4930003990
distance 0.142
#8 · Sanglicell 4930003943
distance 0.155
#9 · Sanglicell 4930002110
distance 0.159
#10 · Sanglicell 4930003987
distance 0.16
#11 · Sanglicell 4930002950
distance 0.163
#12 · Sanglicell 4930002095
distance 0.166
#13 · Beedcell 4700004908
distance 0.167 · cross-district
#14 · Sanglicell 4930003076
distance 0.171
#15 · Dharashivcell 4880001648
distance 0.171 · cross-district
#16 · Buldhanacell 4720002751
distance 0.172 · cross-district
#17 · Beedcell 4700004900
distance 0.174 · cross-district
#18 · Beedcell 4700006637
distance 0.177 · 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":4930003299}}}'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.