Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960003193
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 4 distinct districts
Index confidence
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.176
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002222
distance 0.176
#2 · Solapurcell 4960002627
distance 0.18
#3 · Solapurcell 4960002096
distance 0.191
#4 · Solapurcell 4960002426
distance 0.193
#5 · Wardhacell 4980003231
distance 0.215 · cross-district
#6 · Jalnacell 4790004226
distance 0.22 · cross-district
#7 · Buldhanacell 4720002585
distance 0.22 · cross-district
#8 · Solapurcell 4960003061
distance 0.228
#9 · Solapurcell 4960011873
distance 0.229
#10 · Solapurcell 4960001443
distance 0.23
#11 · Solapurcell 4960002778
distance 0.232
#12 · Solapurcell 4960004297
distance 0.232
#13 · Wardhacell 4980002000
distance 0.235 · cross-district
#14 · Solapurcell 4960002715
distance 0.236
#15 · Jalnacell 4790004344
distance 0.238 · cross-district
#16 · Jalnacell 4790002712
distance 0.24 · cross-district
#17 · Solapurcell 4960011436
distance 0.242
#18 · Solapurcell 4960011039
distance 0.243
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":4960003193}}}'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.