Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010668
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.105
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010974
distance 0.105
#2 · Solapurcell 4960011050
distance 0.105
#3 · Solapurcell 4960010744
distance 0.131
#4 · Solapurcell 4960010670
distance 0.132
#5 · Solapurcell 4960003985
distance 0.136
#6 · Solapurcell 4960011361
distance 0.143
#7 · Solapurcell 4960010970
distance 0.145
#8 · Solapurcell 4960011126
distance 0.149
#9 · Dharashivcell 4880003753
distance 0.149 · cross-district
#10 · Laturcell 4810001197
distance 0.151 · cross-district
#11 · Solapurcell 4960011360
distance 0.156
#12 · Solapurcell 4960010505
distance 0.157
#13 · Solapurcell 4960010818
distance 0.159
#14 · Solapurcell 4960011282
distance 0.163
#15 · Dharashivcell 4880003749
distance 0.163 · cross-district
#16 · Dharashivcell 4880003500
distance 0.166 · cross-district
#17 · Solapurcell 4960003990
distance 0.167
#18 · Dharashivcell 4880003637
distance 0.172 · 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":4960010668}}}'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.