Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930006011
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
0.145
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870005869
distance 0.145 · cross-district
#2 · Solapurcell 4960000096
distance 0.167 · cross-district
#3 · Sanglicell 4930006581
distance 0.172
#4 · Sanglicell 4930005113
distance 0.178
#5 · Sanglicell 4930005681
distance 0.179
#6 · Sanglicell 4930004420
distance 0.179
#7 · Sanglicell 4930006157
distance 0.193
#8 · Sanglicell 4930005771
distance 0.194
#9 · Sanglicell 4930006072
distance 0.196
#10 · Sanglicell 4930006224
distance 0.199
#11 · Sanglicell 4930003766
distance 0.203
#12 · Solapurcell 4960006933
distance 0.208 · cross-district
#13 · Beedcell 4700002509
distance 0.21 · cross-district
#14 · Sanglicell 4930006211
distance 0.211
#15 · Sanglicell 4930006146
distance 0.211
#16 · Nashikcell 4870005775
distance 0.211 · cross-district
#17 · Beedcell 4700002182
distance 0.211 · cross-district
#18 · Beedcell 4700002866
distance 0.212 · 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":4930006011}}}'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.