Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007227
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.138
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007246
distance 0.138
#2 · Solapurcell 4960007110
distance 0.144
#3 · Solapurcell 4960005646
distance 0.154
#4 · Solapurcell 4960007495
distance 0.163
#5 · Solapurcell 4960004742
distance 0.171
#6 · Sanglicell 4930002305
distance 0.179 · cross-district
#7 · Solapurcell 4960007622
distance 0.186
#8 · Solapurcell 4960005336
distance 0.19
#9 · Solapurcell 4960004420
distance 0.204
#10 · Solapurcell 4960006173
distance 0.207
#11 · Solapurcell 4960004434
distance 0.208
#12 · Sanglicell 4930001082
distance 0.21 · cross-district
#13 · Sanglicell 4930000973
distance 0.21 · cross-district
#14 · Solapurcell 4960005195
distance 0.211
#15 · Beedcell 4700005820
distance 0.212 · cross-district
#16 · Sanglicell 4930001767
distance 0.214 · cross-district
#17 · Solapurcell 4960005635
distance 0.214
#18 · Laturcell 4810000565
distance 0.217 · 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":4960007227}}}'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.