Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010012
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
0.92
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 · Solapurcell 4960009926
distance 0.084
#2 · Dharashivcell 4880001726
distance 0.093 · cross-district
#3 · Solapurcell 4960009056
distance 0.094
#4 · Solapurcell 4960009266
distance 0.099
#5 · Dharashivcell 4880002733
distance 0.101 · cross-district
#6 · Solapurcell 4960010098
distance 0.102
#7 · Solapurcell 4960009371
distance 0.104
#8 · Solapurcell 4960010004
distance 0.105
#9 · Dharashivcell 4880001968
distance 0.108 · cross-district
#10 · Solapurcell 4960009160
distance 0.113
#11 · Solapurcell 4960010093
distance 0.114
#12 · Solapurcell 4960010151
distance 0.116
#13 · Dharashivcell 4880001371
distance 0.12 · cross-district
#14 · Dharashivcell 4880002122
distance 0.125 · cross-district
#15 · Solapurcell 4960010090
distance 0.129
#16 · Solapurcell 4960010786
distance 0.13
#17 · Solapurcell 4960008945
distance 0.13
#18 · Solapurcell 4960011357
distance 0.13
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":4960010012}}}'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.