Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960009209
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.169
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960008895
distance 0.169
#2 · Solapurcell 4960009871
distance 0.18
#3 · Solapurcell 4960009401
distance 0.186
#4 · Chhatrapati Sambhajinagarcell 4690002069
distance 0.195 · cross-district
#5 · Solapurcell 4960002974
distance 0.198
#6 · Solapurcell 4960009210
distance 0.199
#7 · Solapurcell 4960005977
distance 0.201
#8 · Solapurcell 4960007953
distance 0.205
#9 · Solapurcell 4960011682
distance 0.213
#10 · Solapurcell 4960010116
distance 0.218
#11 · Solapurcell 4960004071
distance 0.219
#12 · Solapurcell 4960008999
distance 0.222
#13 · Beedcell 4700003496
distance 0.225 · cross-district
#14 · Solapurcell 4960000403
distance 0.226
#15 · Solapurcell 4960005278
distance 0.227
#16 · Nashikcell 4870005257
distance 0.233 · cross-district
#17 · Nashikcell 4870006582
distance 0.238 · cross-district
#18 · Punecell 4900001903
distance 0.239 · 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":4960009209}}}'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.