Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003193
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
0.232
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930001246
distance 0.232
#2 · Sanglicell 4930003376
distance 0.248
#3 · Sanglicell 4930004203
distance 0.266
#4 · Sanglicell 4930003550
distance 0.284
#5 · Sanglicell 4930001988
distance 0.302
#6 · Sanglicell 4930002011
distance 0.308
#7 · Sanglicell 4930004052
distance 0.315
#8 · Sanglicell 4930001520
distance 0.318
#9 · Sanglicell 4930003017
distance 0.322
#10 · Sataracell 4940000056
distance 0.322 · cross-district
#11 · Ahmednagarcell 4660014022
distance 0.327 · cross-district
#12 · Kolhapurcell 4800005784
distance 0.327 · cross-district
#13 · Sanglicell 4930003887
distance 0.332
#14 · Sataracell 4940000189
distance 0.333 · cross-district
#15 · Sataracell 4940000080
distance 0.334 · cross-district
#16 · Sanglicell 4930004356
distance 0.335
#17 · Sanglicell 4930003007
distance 0.338
#18 · Kolhapurcell 4800006061
distance 0.34 · 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":4930003193}}}'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.