Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930005798
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
0.103
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930005880
distance 0.103
#2 · Kolhapurcell 4800005475
distance 0.162 · cross-district
#3 · Sanglicell 4930005960
distance 0.178
#4 · Sanglicell 4930006452
distance 0.179
#5 · Sanglicell 4930006176
distance 0.18
#6 · Sanglicell 4930005797
distance 0.185
#7 · Sataracell 4940005500
distance 0.195 · cross-district
#8 · Sanglicell 4930005958
distance 0.196
#9 · Sanglicell 4930000902
distance 0.2
#10 · Sanglicell 4930006251
distance 0.202
#11 · Nashikcell 4870002874
distance 0.203 · cross-district
#12 · Sanglicell 4930006363
distance 0.204
#13 · Sanglicell 4930005887
distance 0.205
#14 · Sataracell 4940001018
distance 0.207 · cross-district
#15 · Punecell 4900003621
distance 0.208 · cross-district
#16 · Sanglicell 4930001007
distance 0.209
#17 · Punecell 4900002490
distance 0.21 · cross-district
#18 · Sataracell 4940002686
distance 0.21 · 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":4930005798}}}'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.