Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002479
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
44
morphology-v2 feature dimensions
Closest twin distance
0.127
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002143
distance 0.127
#2 · Sanglicell 4930002989
distance 0.131
#3 · Sanglicell 4930002648
distance 0.131
#4 · Sanglicell 4930003691
distance 0.141
#5 · Sanglicell 4930003342
distance 0.147
#6 · Sanglicell 4930003161
distance 0.155
#7 · Sanglicell 4930002309
distance 0.171
#8 · Sanglicell 4930002144
distance 0.203
#9 · Sanglicell 4930002649
distance 0.211
#10 · Sanglicell 4930003166
distance 0.213
#11 · Sanglicell 4930001980
distance 0.218
#12 · Kolhapurcell 4800006354
distance 0.232 · cross-district
#13 · Kolhapurcell 4800006315
distance 0.241 · cross-district
#14 · Nandurbarcell 4860000528
distance 0.243 · cross-district
#15 · Sanglicell 4930002478
distance 0.246
#16 · Kolhapurcell 4800006227
distance 0.248 · cross-district
#17 · Nashikcell 4870013397
distance 0.251 · cross-district
#18 · Kolhapurcell 4800006272
distance 0.252 · 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":4930002479}}}'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.