Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002186
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 5 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002521
distance 0.173
#2 · Sanglicell 4930001267
distance 0.227
#3 · Sanglicell 4930001860
distance 0.236
#4 · Sanglicell 4930002520
distance 0.238
#5 · Sanglicell 4930000057
distance 0.245
#6 · Solapurcell 4960012551
distance 0.247 · cross-district
#7 · Sanglicell 4930003051
distance 0.254
#8 · Beedcell 4700003391
distance 0.258 · cross-district
#9 · Sanglicell 4930002687
distance 0.262
#10 · Laturcell 4810000844
distance 0.266 · cross-district
#11 · Ahmednagarcell 4660011871
distance 0.269 · cross-district
#12 · Sanglicell 4930002022
distance 0.273
#13 · Sanglicell 4930001896
distance 0.275
#14 · Sanglicell 4930001032
distance 0.276
#15 · Ahmednagarcell 4660011243
distance 0.278 · cross-district
#16 · Ahmednagarcell 4660011563
distance 0.278 · cross-district
#17 · Sanglicell 4930003582
distance 0.28
#18 · Sanglicell 4930003222
distance 0.282
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":4930002186}}}'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.