Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960011041
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
0.144
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010173
distance 0.144
#2 · Solapurcell 4960010083
distance 0.149
#3 · Solapurcell 4960010738
distance 0.153
#4 · Beedcell 4700000142
distance 0.155 · cross-district
#5 · Solapurcell 4960010092
distance 0.155
#6 · Solapurcell 4960009745
distance 0.155
#7 · Dharashivcell 4880001789
distance 0.155 · cross-district
#8 · Solapurcell 4960009354
distance 0.16
#9 · Solapurcell 4960009991
distance 0.16
#10 · Dharashivcell 4880002666
distance 0.161 · cross-district
#11 · Dharashivcell 4880003595
distance 0.161 · cross-district
#12 · Solapurcell 4960008836
distance 0.165
#13 · Solapurcell 4960007255
distance 0.165
#14 · Dharashivcell 4880003736
distance 0.166 · cross-district
#15 · Solapurcell 4960009649
distance 0.166
#16 · Solapurcell 4960006858
distance 0.167
#17 · Solapurcell 4960010657
distance 0.169
#18 · Solapurcell 4960009638
distance 0.169
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":4960011041}}}'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.