Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004721
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 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.06
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004723
distance 0.06
#2 · Solapurcell 4960005023
distance 0.062
#3 · Solapurcell 4960004412
distance 0.062
#4 · Solapurcell 4960004564
distance 0.064
#5 · Solapurcell 4960004875
distance 0.074
#6 · Solapurcell 4960004566
distance 0.093
#7 · Solapurcell 4960004417
distance 0.112
#8 · Solapurcell 4960004565
distance 0.114
#9 · Dharashivcell 4880000880
distance 0.12 · cross-district
#10 · Dharashivcell 4880000717
distance 0.121 · cross-district
#11 · Solapurcell 4960006157
distance 0.122
#12 · Solapurcell 4960003555
distance 0.123
#13 · Dharashivcell 4880000540
distance 0.124 · cross-district
#14 · Solapurcell 4960003836
distance 0.124
#15 · Solapurcell 4960005325
distance 0.126
#16 · Solapurcell 4960007599
distance 0.126
#17 · Dharashivcell 4880000500
distance 0.127 · cross-district
#18 · Jalnacell 4790000737
distance 0.129 · 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":4960004721}}}'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.