Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004486
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
0.084
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000229
distance 0.084 · cross-district
#2 · Solapurcell 4960004937
distance 0.089
#3 · Solapurcell 4960004641
distance 0.093
#4 · Solapurcell 4960004638
distance 0.094
#5 · Solapurcell 4960005252
distance 0.096
#6 · Solapurcell 4960005389
distance 0.099
#7 · Solapurcell 4960004634
distance 0.1
#8 · Solapurcell 4960004493
distance 0.101
#9 · Solapurcell 4960005680
distance 0.101
#10 · Solapurcell 4960005094
distance 0.102
#11 · Dharashivcell 4880000553
distance 0.103 · cross-district
#12 · Solapurcell 4960005540
distance 0.104
#13 · Solapurcell 4960005542
distance 0.104
#14 · Dharashivcell 4880000225
distance 0.105 · cross-district
#15 · Solapurcell 4960005242
distance 0.106
#16 · Dharashivcell 4880000766
distance 0.106 · cross-district
#17 · Solapurcell 4960005100
distance 0.108
#18 · Dharashivcell 4880000140
distance 0.109 · 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":4960004486}}}'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.