Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002290
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
0.121
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002638
distance 0.121
#2 · Sanglicell 4930002456
distance 0.137
#3 · Solapurcell 4960000251
distance 0.141 · cross-district
#4 · Sanglicell 4930003479
distance 0.146
#5 · Sanglicell 4930002278
distance 0.149
#6 · Solapurcell 4960000373
distance 0.151 · cross-district
#7 · Sanglicell 4930002804
distance 0.153
#8 · Solapurcell 4960000909
distance 0.161 · cross-district
#9 · Solapurcell 4960000249
distance 0.164 · cross-district
#10 · Solapurcell 4960001571
distance 0.166 · cross-district
#11 · Sanglicell 4930003844
distance 0.168
#12 · Sanglicell 4930002291
distance 0.17
#13 · Sanglicell 4930005508
distance 0.175
#14 · Sanglicell 4930002793
distance 0.178
#15 · Sanglicell 4930005618
distance 0.181
#16 · Sanglicell 4930005280
distance 0.182
#17 · Sanglicell 4930002795
distance 0.184
#18 · Solapurcell 4960002070
distance 0.189 · 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":4930002290}}}'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.