Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007439
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.165
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007306
distance 0.165
#2 · Solapurcell 4960006898
distance 0.188
#3 · Solapurcell 4960008171
distance 0.215
#4 · Punecell 4900000017
distance 0.22 · cross-district
#5 · Solapurcell 4960006644
distance 0.231
#6 · Solapurcell 4960008469
distance 0.232
#7 · Punecell 4900000009
distance 0.234 · cross-district
#8 · Solapurcell 4960007423
distance 0.237
#9 · Solapurcell 4960006897
distance 0.239
#10 · Punecell 4900000608
distance 0.243 · cross-district
#11 · Solapurcell 4960007300
distance 0.246
#12 · Punecell 4900000001
distance 0.247 · cross-district
#13 · Solapurcell 4960007808
distance 0.249
#14 · Solapurcell 4960008056
distance 0.249
#15 · Punecell 4900000718
distance 0.25 · cross-district
#16 · Ahmednagarcell 4660001676
distance 0.255 · cross-district
#17 · Solapurcell 4960008146
distance 0.256
#18 · Solapurcell 4960011733
distance 0.258
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":4960007439}}}'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.