Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002687
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
0.197
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002521
distance 0.197
#2 · Sanglicell 4930001267
distance 0.213
#3 · Sanglicell 4930002186
distance 0.262
#4 · Sanglicell 4930001694
distance 0.268
#5 · Beedcell 4700001560
distance 0.288 · cross-district
#6 · Sanglicell 4930002354
distance 0.288
#7 · Sanglicell 4930002401
distance 0.289
#8 · Sanglicell 4930001145
distance 0.299
#9 · Ahmednagarcell 4660003237
distance 0.303 · cross-district
#10 · Beedcell 4700001988
distance 0.304 · cross-district
#11 · Sanglicell 4930001853
distance 0.305
#12 · Sanglicell 4930003902
distance 0.306
#13 · Sanglicell 4930002520
distance 0.307
#14 · Solapurcell 4960004922
distance 0.31 · cross-district
#15 · Dharashivcell 4880003570
distance 0.31 · cross-district
#16 · Dharashivcell 4880002562
distance 0.311 · cross-district
#17 · Sanglicell 4930001700
distance 0.311
#18 · Sanglicell 4930001035
distance 0.314
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":4930002687}}}'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.