Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960011971
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.08
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960012046
distance 0.08
#2 · Dharashivcell 4880003947
distance 0.085 · cross-district
#3 · Solapurcell 4960012230
distance 0.105
#4 · Solapurcell 4960012235
distance 0.108
#5 · Solapurcell 4960010314
distance 0.108
#6 · Solapurcell 4960012037
distance 0.116
#7 · Dharashivcell 4880002577
distance 0.118 · cross-district
#8 · Solapurcell 4960011033
distance 0.119
#9 · Solapurcell 4960010956
distance 0.122
#10 · Solapurcell 4960012102
distance 0.122
#11 · Solapurcell 4960012033
distance 0.123
#12 · Solapurcell 4960011787
distance 0.124
#13 · Solapurcell 4960009747
distance 0.125
#14 · Solapurcell 4960011886
distance 0.126
#15 · Solapurcell 4960011788
distance 0.128
#16 · Dharashivcell 4880005475
distance 0.129 · cross-district
#17 · Dharashivcell 4880006086
distance 0.129 · cross-district
#18 · Dharashivcell 4880002044
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":4960011971}}}'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.