Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930006056
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
0.171
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930006259
distance 0.171
#2 · Sanglicell 4930004067
distance 0.192
#3 · Sanglicell 4930006477
distance 0.216
#4 · Sanglicell 4930006411
distance 0.219
#5 · Sanglicell 4930005064
distance 0.223
#6 · Sanglicell 4930006476
distance 0.226
#7 · Sanglicell 4930004370
distance 0.227
#8 · Sanglicell 4930005649
distance 0.228
#9 · Sataracell 4940000715
distance 0.231 · cross-district
#10 · Sanglicell 4930005825
distance 0.232
#11 · Sataracell 4940000657
distance 0.238 · cross-district
#12 · Sanglicell 4930005543
distance 0.243
#13 · Buldhanacell 4720004596
distance 0.245 · cross-district
#14 · Sataracell 4940000989
distance 0.246 · cross-district
#15 · Kolhapurcell 4800003962
distance 0.247 · cross-district
#16 · Kolhapurcell 4800005214
distance 0.249 · cross-district
#17 · Sanglicell 4930003582
distance 0.251
#18 · Sanglicell 4930006394
distance 0.252
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":4930006056}}}'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.