Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930005593
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.127
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930005374
distance 0.127
#2 · Sanglicell 4930005373
distance 0.129
#3 · Sanglicell 4930005488
distance 0.13
#4 · Sanglicell 4930004305
distance 0.138
#5 · Solapurcell 4960000052
distance 0.14 · cross-district
#6 · Sanglicell 4930005584
distance 0.149
#7 · Solapurcell 4960000219
distance 0.152 · cross-district
#8 · Solapurcell 4960000220
distance 0.153 · cross-district
#9 · Sanglicell 4930005682
distance 0.159
#10 · Sanglicell 4930005252
distance 0.161
#11 · Sanglicell 4930004150
distance 0.165
#12 · Beedcell 4700005352
distance 0.166 · cross-district
#13 · Solapurcell 4960000217
distance 0.174 · cross-district
#14 · Sanglicell 4930005592
distance 0.175
#15 · Beedcell 4700004419
distance 0.179 · cross-district
#16 · Sanglicell 4930005239
distance 0.18
#17 · Sanglicell 4930004862
distance 0.183
#18 · Beedcell 4700005498
distance 0.186 · 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":4930005593}}}'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.