Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004457
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
0.95
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.058
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004616
distance 0.058
#2 · Solapurcell 4960004918
distance 0.064
#3 · Solapurcell 4960006077
distance 0.094
#4 · Solapurcell 4960004917
distance 0.104
#5 · Solapurcell 4960006334
distance 0.104
#6 · Solapurcell 4960005667
distance 0.105
#7 · Solapurcell 4960005521
distance 0.107
#8 · Solapurcell 4960005805
distance 0.11
#9 · Solapurcell 4960005675
distance 0.111
#10 · Dharashivcell 4880001120
distance 0.114 · cross-district
#11 · Dharashivcell 4880001099
distance 0.114 · cross-district
#12 · Solapurcell 4960007119
distance 0.117
#13 · Solapurcell 4960005222
distance 0.118
#14 · Solapurcell 4960005933
distance 0.121
#15 · Dharashivcell 4880005389
distance 0.122 · cross-district
#16 · Dharashivcell 4880001098
distance 0.123 · cross-district
#17 · Solapurcell 4960005080
distance 0.123
#18 · Dharashivcell 4880001024
distance 0.124 · 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":4960004457}}}'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.