Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960012616
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.087
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960012553
distance 0.087
#2 · Ahmednagarcell 4660000940
distance 0.089 · cross-district
#3 · Solapurcell 4960012532
distance 0.101
#4 · Solapurcell 4960012446
distance 0.102
#5 · Solapurcell 4960012274
distance 0.112
#6 · Solapurcell 4960012669
distance 0.112
#7 · Dharashivcell 4880004740
distance 0.115 · cross-district
#8 · Solapurcell 4960012539
distance 0.115
#9 · Solapurcell 4960012540
distance 0.118
#10 · Solapurcell 4960012666
distance 0.118
#11 · Dharashivcell 4880004565
distance 0.119 · cross-district
#12 · Beedcell 4700005536
distance 0.121 · cross-district
#13 · Solapurcell 4960012494
distance 0.123
#14 · Solapurcell 4960012584
distance 0.124
#15 · Solapurcell 4960012437
distance 0.127
#16 · Ahmednagarcell 4660000944
distance 0.128 · cross-district
#17 · Solapurcell 4960012646
distance 0.128
#18 · Solapurcell 4960012634
distance 0.129
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":4960012616}}}'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.