Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002738
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
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002908
distance 0.12
#2 · Sanglicell 4930001449
distance 0.139
#3 · Sanglicell 4930003082
distance 0.144
#4 · Sanglicell 4930003083
distance 0.15
#5 · Sanglicell 4930002402
distance 0.154
#6 · Sanglicell 4930000519
distance 0.172
#7 · Sanglicell 4930001222
distance 0.174
#8 · Sanglicell 4930004106
distance 0.175
#9 · Sanglicell 4930000496
distance 0.175
#10 · Ahmednagarcell 4660000567
distance 0.176 · cross-district
#11 · Laturcell 4810001980
distance 0.179 · cross-district
#12 · Sanglicell 4930002240
distance 0.18
#13 · Sanglicell 4930003942
distance 0.185
#14 · Beedcell 4700006774
distance 0.186 · cross-district
#15 · Ahmednagarcell 4660001400
distance 0.186 · cross-district
#16 · Sanglicell 4930001745
distance 0.188
#17 · Ahmednagarcell 4660001371
distance 0.19 · cross-district
#18 · Dharashivcell 4880004742
distance 0.191 · 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":4930002738}}}'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.