Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003217
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003041
distance 0.173
#2 · Sanglicell 4930000917
distance 0.24
#3 · Sanglicell 4930002866
distance 0.241
#4 · Chhatrapati Sambhajinagarcell 4690002216
distance 0.244 · cross-district
#5 · Sanglicell 4930000203
distance 0.254
#6 · Sanglicell 4930003038
distance 0.266
#7 · Sanglicell 4930002241
distance 0.27
#8 · Dharashivcell 4880005221
distance 0.276 · cross-district
#9 · Chhatrapati Sambhajinagarcell 4690004944
distance 0.276 · cross-district
#10 · Sanglicell 4930002699
distance 0.277
#11 · Sanglicell 4930000052
distance 0.277
#12 · Sanglicell 4930003031
distance 0.278
#13 · Sanglicell 4930002044
distance 0.281
#14 · Sanglicell 4930000140
distance 0.283
#15 · Sanglicell 4930001582
distance 0.283
#16 · Sanglicell 4930000489
distance 0.286
#17 · Ahmednagarcell 4660012923
distance 0.287 · cross-district
#18 · Sanglicell 4930000642
distance 0.29
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":4930003217}}}'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.