Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960000241
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
0.064
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960000359
distance 0.064
#2 · Solapurcell 4960000242
distance 0.082
#3 · Sanglicell 4930004176
distance 0.083 · cross-district
#4 · Solapurcell 4960000746
distance 0.085
#5 · Sanglicell 4930005789
distance 0.099 · cross-district
#6 · Sanglicell 4930004471
distance 0.108 · cross-district
#7 · Solapurcell 4960000618
distance 0.115
#8 · Sanglicell 4930004325
distance 0.117 · cross-district
#9 · Solapurcell 4960000676
distance 0.119
#10 · Sanglicell 4930004477
distance 0.119 · cross-district
#11 · Solapurcell 4960000675
distance 0.12
#12 · Solapurcell 4960001000
distance 0.121
#13 · Solapurcell 4960000300
distance 0.124
#14 · Solapurcell 4960000999
distance 0.126
#15 · Solapurcell 4960000419
distance 0.13
#16 · Solapurcell 4960000998
distance 0.131
#17 · Sanglicell 4930005946
distance 0.138 · cross-district
#18 · Solapurcell 4960000479
distance 0.138
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":4960000241}}}'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.