Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003518
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.181
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003344
distance 0.181
#2 · Sanglicell 4930002821
distance 0.186
#3 · Sataracell 4940000014
distance 0.197 · cross-district
#4 · Kolhapurcell 4800006042
distance 0.207 · cross-district
#5 · Sanglicell 4930003685
distance 0.21
#6 · Sanglicell 4930002824
distance 0.213
#7 · Sanglicell 4930003348
distance 0.236
#8 · Sanglicell 4930002652
distance 0.237
#9 · Sanglicell 4930002993
distance 0.245
#10 · Sanglicell 4930002141
distance 0.248
#11 · Kolhapurcell 4800006177
distance 0.25 · cross-district
#12 · Sanglicell 4930003522
distance 0.253
#13 · Kolhapurcell 4800006279
distance 0.254 · cross-district
#14 · Sanglicell 4930003517
distance 0.258
#15 · Sanglicell 4930003345
distance 0.26
#16 · Sanglicell 4930002313
distance 0.262
#17 · Kolhapurcell 4800006181
distance 0.264 · cross-district
#18 · Kolhapurcell 4800006185
distance 0.266 · 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":4930003518}}}'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.