Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001121
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
0.064
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002183
distance 0.064
#2 · Solapurcell 4960003413
distance 0.07
#3 · Solapurcell 4960002057
distance 0.071
#4 · Beedcell 4700006432
distance 0.086 · cross-district
#5 · Beedcell 4700006429
distance 0.087 · cross-district
#6 · Solapurcell 4960002058
distance 0.096
#7 · Solapurcell 4960003691
distance 0.099
#8 · Beedcell 4700006293
distance 0.101 · cross-district
#9 · Beedcell 4700005855
distance 0.103 · cross-district
#10 · Beedcell 4700006295
distance 0.104 · cross-district
#11 · Solapurcell 4960006293
distance 0.105
#12 · Solapurcell 4960001446
distance 0.109
#13 · Solapurcell 4960001226
distance 0.11
#14 · Solapurcell 4960006157
distance 0.111
#15 · Solapurcell 4960002066
distance 0.116
#16 · Dharashivcell 4880000913
distance 0.117 · cross-district
#17 · Solapurcell 4960002590
distance 0.117
#18 · Solapurcell 4960006692
distance 0.119
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":4960001121}}}'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.