Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960009525
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 6 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.203
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960008831
distance 0.203
#2 · Solapurcell 4960010208
distance 0.228
#3 · Punecell 4900007876
distance 0.238 · cross-district
#4 · Beedcell 4700004700
distance 0.242 · cross-district
#5 · Solapurcell 4960003821
distance 0.249
#6 · Solapurcell 4960003820
distance 0.249
#7 · Solapurcell 4960002028
distance 0.249
#8 · Solapurcell 4960009965
distance 0.25
#9 · Ahmednagarcell 4660000664
distance 0.253 · cross-district
#10 · Solapurcell 4960003107
distance 0.253
#11 · Amravaticell 4680006438
distance 0.255 · cross-district
#12 · Solapurcell 4960009608
distance 0.255
#13 · Solapurcell 4960010126
distance 0.256
#14 · Nashikcell 4870003130
distance 0.26 · cross-district
#15 · Beedcell 4700005192
distance 0.261 · cross-district
#16 · Solapurcell 4960010292
distance 0.262
#17 · Solapurcell 4960009516
distance 0.264
#18 · Solapurcell 4960009502
distance 0.264
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":4960009525}}}'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.