Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001206
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
0.149
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960011593
distance 0.149
#2 · Solapurcell 4960003110
distance 0.167
#3 · Akolacell 4670003177
distance 0.179 · cross-district
#4 · Solapurcell 4960002271
distance 0.179
#5 · Solapurcell 4960002270
distance 0.182
#6 · Solapurcell 4960003264
distance 0.185
#7 · Solapurcell 4960003261
distance 0.188
#8 · Solapurcell 4960002403
distance 0.189
#9 · Solapurcell 4960009222
distance 0.19
#10 · Solapurcell 4960007971
distance 0.192
#11 · Buldhanacell 4720006616
distance 0.193 · cross-district
#12 · Solapurcell 4960003124
distance 0.196
#13 · Solapurcell 4960007963
distance 0.197
#14 · Dharashivcell 4880003365
distance 0.198 · cross-district
#15 · Solapurcell 4960011592
distance 0.201
#16 · Solapurcell 4960002701
distance 0.201
#17 · Laturcell 4810000480
distance 0.202 · cross-district
#18 · Buldhanacell 4720004894
distance 0.204 · 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":4960001206}}}'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.