Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001758
The MH-36 locality cells most similar to this Solapur 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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.074
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960003093
distance 0.074
#2 · Sanglicell 4930006989
distance 0.085 · cross-district
#3 · Solapurcell 4960002817
distance 0.09
#4 · Solapurcell 4960002676
distance 0.096
#5 · Solapurcell 4960001886
distance 0.098
#6 · Sanglicell 4930007021
distance 0.099 · cross-district
#7 · Solapurcell 4960001514
distance 0.1
#8 · Solapurcell 4960002009
distance 0.102
#9 · Solapurcell 4960002823
distance 0.103
#10 · Solapurcell 4960002533
distance 0.107
#11 · Solapurcell 4960004208
distance 0.108
#12 · Solapurcell 4960004062
distance 0.108
#13 · Sanglicell 4930006927
distance 0.118 · cross-district
#14 · Sanglicell 4930006786
distance 0.121 · cross-district
#15 · Solapurcell 4960001757
distance 0.124
#16 · Solapurcell 4960002675
distance 0.124
#17 · Sanglicell 4930007195
distance 0.125 · cross-district
#18 · Sanglicell 4930007088
distance 0.126 · 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":496,"cluster_id":4960001758}}}'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.