Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960011702
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
0.144
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960012103
distance 0.144
#2 · Beedcell 4700000003
distance 0.156 · cross-district
#3 · Solapurcell 4960010964
distance 0.156
#4 · Solapurcell 4960011614
distance 0.168
#5 · Solapurcell 4960011870
distance 0.169
#6 · Chhatrapati Sambhajinagarcell 4690001263
distance 0.177 · cross-district
#7 · Solapurcell 4960010496
distance 0.177
#8 · Laturcell 4810003644
distance 0.181 · cross-district
#9 · Solapurcell 4960009750
distance 0.181
#10 · Solapurcell 4960011198
distance 0.185
#11 · Solapurcell 4960009153
distance 0.185
#12 · Solapurcell 4960011714
distance 0.186
#13 · Solapurcell 4960011711
distance 0.189
#14 · Laturcell 4810004250
distance 0.192 · cross-district
#15 · Solapurcell 4960012239
distance 0.193
#16 · Beedcell 4700000280
distance 0.197 · cross-district
#17 · Solapurcell 4960011868
distance 0.197
#18 · Solapurcell 4960010792
distance 0.199
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":4960011702}}}'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.