Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005675
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
0.052
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005222
distance 0.052
#2 · Solapurcell 4960005521
distance 0.058
#3 · Solapurcell 4960007389
distance 0.063
#4 · Solapurcell 4960006334
distance 0.064
#5 · Solapurcell 4960005933
distance 0.076
#6 · Solapurcell 4960005805
distance 0.081
#7 · Dharashivcell 4880001094
distance 0.084 · cross-district
#8 · Dharashivcell 4880000679
distance 0.084 · cross-district
#9 · Solapurcell 4960005080
distance 0.085
#10 · Solapurcell 4960004616
distance 0.087
#11 · Solapurcell 4960011043
distance 0.09
#12 · Dharashivcell 4880000920
distance 0.09 · cross-district
#13 · Solapurcell 4960006735
distance 0.091
#14 · Solapurcell 4960006477
distance 0.095
#15 · Solapurcell 4960005079
distance 0.096
#16 · Dharashivcell 4880006089
distance 0.096 · cross-district
#17 · Dharashivcell 4880001098
distance 0.098 · cross-district
#18 · Solapurcell 4960005667
distance 0.098
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":4960005675}}}'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.