Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001558
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 5 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.108
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006003
distance 0.108 · cross-district
#2 · Solapurcell 4960006295
distance 0.113
#3 · Solapurcell 4960006568
distance 0.115
#4 · Solapurcell 4960001216
distance 0.118
#5 · Solapurcell 4960003005
distance 0.121
#6 · Solapurcell 4960002178
distance 0.121
#7 · Solapurcell 4960001228
distance 0.133
#8 · Solapurcell 4960001559
distance 0.143
#9 · Solapurcell 4960001928
distance 0.144
#10 · Parbhanicell 4890005455
distance 0.146 · cross-district
#11 · Solapurcell 4960001330
distance 0.146
#12 · Dharashivcell 4880000521
distance 0.148 · cross-district
#13 · Beedcell 4700000331
distance 0.149 · cross-district
#14 · Solapurcell 4960001445
distance 0.149
#15 · Solapurcell 4960007087
distance 0.151
#16 · Beedcell 4700006141
distance 0.153 · cross-district
#17 · Solapurcell 4960006594
distance 0.153
#18 · Jalnacell 4790003074
distance 0.154 · 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":4960001558}}}'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.