Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960006723
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
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.043
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006735
distance 0.043
#2 · Solapurcell 4960006996
distance 0.051
#3 · Solapurcell 4960005932
distance 0.057
#4 · Dharashivcell 4880000999
distance 0.059 · cross-district
#5 · Solapurcell 4960007518
distance 0.063
#6 · Solapurcell 4960005665
distance 0.063
#7 · Dharashivcell 4880001089
distance 0.067 · cross-district
#8 · Dharashivcell 4880000920
distance 0.07 · cross-district
#9 · Solapurcell 4960007128
distance 0.074
#10 · Solapurcell 4960007389
distance 0.074
#11 · Solapurcell 4960006063
distance 0.077
#12 · Solapurcell 4960006604
distance 0.082
#13 · Solapurcell 4960005664
distance 0.086
#14 · Solapurcell 4960005933
distance 0.086
#15 · Dharashivcell 4880001094
distance 0.087 · cross-district
#16 · Solapurcell 4960006067
distance 0.087
#17 · Solapurcell 4960007254
distance 0.088
#18 · Dharashivcell 4880001092
distance 0.088 · 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":4960006723}}}'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.