Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001002
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.14
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930004905
distance 0.14 · cross-district
#2 · Solapurcell 4960001013
distance 0.141
#3 · Solapurcell 4960000624
distance 0.141
#4 · Solapurcell 4960000197
distance 0.146
#5 · Sanglicell 4930005783
distance 0.148 · cross-district
#6 · Solapurcell 4960003571
distance 0.15
#7 · Solapurcell 4960000742
distance 0.154
#8 · Solapurcell 4960002752
distance 0.157
#9 · Solapurcell 4960000434
distance 0.158
#10 · Solapurcell 4960000691
distance 0.159
#11 · Sanglicell 4930002967
distance 0.168 · cross-district
#12 · Sanglicell 4930004167
distance 0.169 · cross-district
#13 · Sanglicell 4930003675
distance 0.17 · cross-district
#14 · Solapurcell 4960000760
distance 0.171
#15 · Solapurcell 4960002472
distance 0.171
#16 · Solapurcell 4960001015
distance 0.173
#17 · Sanglicell 4930004482
distance 0.175 · cross-district
#18 · Solapurcell 4960000903
distance 0.176
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":4960001002}}}'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.