Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960000898
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 5 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.126
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960000415
distance 0.126
#2 · Solapurcell 4960000896
distance 0.134
#3 · Solapurcell 4960000882
distance 0.135
#4 · Solapurcell 4960000738
distance 0.137
#5 · Ahmednagarcell 4660000588
distance 0.143 · cross-district
#6 · Solapurcell 4960000478
distance 0.149
#7 · Ahmednagarcell 4660000539
distance 0.15 · cross-district
#8 · Solapurcell 4960000672
distance 0.15
#9 · Solapurcell 4960000239
distance 0.15
#10 · Dharashivcell 4880001630
distance 0.151 · cross-district
#11 · Solapurcell 4960008537
distance 0.154
#12 · Solapurcell 4960002855
distance 0.155
#13 · Solapurcell 4960008079
distance 0.156
#14 · Solapurcell 4960000143
distance 0.156
#15 · Solapurcell 4960000268
distance 0.157
#16 · Solapurcell 4960000655
distance 0.157
#17 · Sanglicell 4930004432
distance 0.16 · cross-district
#18 · Beedcell 4700003495
distance 0.16 · 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":4960000898}}}'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.