Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002201
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.217
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930000532
distance 0.217
#2 · Kolhapurcell 4800005893
distance 0.274 · cross-district
#3 · Solapurcell 4960004555
distance 0.278 · cross-district
#4 · Sanglicell 4930002389
distance 0.282
#5 · Sanglicell 4930001870
distance 0.284
#6 · Sanglicell 4930001283
distance 0.287
#7 · Sanglicell 4930002703
distance 0.288
#8 · Beedcell 4700003661
distance 0.299 · cross-district
#9 · Ahmednagarcell 4660011874
distance 0.302 · cross-district
#10 · Sanglicell 4930001152
distance 0.303
#11 · Solapurcell 4960012317
distance 0.306 · cross-district
#12 · Kolhapurcell 4800005535
distance 0.308 · cross-district
#13 · Sanglicell 4930002035
distance 0.31
#14 · Sanglicell 4930007159
distance 0.311
#15 · Sanglicell 4930004250
distance 0.312
#16 · Sanglicell 4930003572
distance 0.313
#17 · Sanglicell 4930003218
distance 0.318
#18 · Sanglicell 4930000228
distance 0.321
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":4930002201}}}'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.