Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002410
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.137
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002241
distance 0.137
#2 · Sanglicell 4930000660
distance 0.144
#3 · Ahmednagarcell 4660001198
distance 0.151 · cross-district
#4 · Sanglicell 4930001314
distance 0.155
#5 · Sanglicell 4930003256
distance 0.156
#6 · Solapurcell 4960012475
distance 0.159 · cross-district
#7 · Solapurcell 4960005901
distance 0.164 · cross-district
#8 · Sanglicell 4930000055
distance 0.164
#9 · Sanglicell 4930000753
distance 0.164
#10 · Sanglicell 4930000163
distance 0.165
#11 · Sanglicell 4930001579
distance 0.165
#12 · Dharashivcell 4880003200
distance 0.167 · cross-district
#13 · Sanglicell 4930000982
distance 0.168
#14 · Sanglicell 4930000416
distance 0.169
#15 · Sanglicell 4930000019
distance 0.169
#16 · Beedcell 4700001746
distance 0.172 · cross-district
#17 · Laturcell 4810002060
distance 0.172 · cross-district
#18 · Sanglicell 4930001192
distance 0.172
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":4930002410}}}'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.