Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960008118
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
0.2
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004251
distance 0.2
#2 · Solapurcell 4960002851
distance 0.209
#3 · Solapurcell 4960003818
distance 0.212
#4 · Solapurcell 4960000073
distance 0.23
#5 · Solapurcell 4960004104
distance 0.23
#6 · Sanglicell 4930001456
distance 0.232 · cross-district
#7 · Solapurcell 4960008421
distance 0.235
#8 · Solapurcell 4960009240
distance 0.238
#9 · Nashikcell 4870012418
distance 0.242 · cross-district
#10 · Sanglicell 4930005003
distance 0.243 · cross-district
#11 · Dharashivcell 4880000594
distance 0.246 · cross-district
#12 · Solapurcell 4960000403
distance 0.247
#13 · Solapurcell 4960008999
distance 0.249
#14 · Solapurcell 4960000901
distance 0.25
#15 · Solapurcell 4960009401
distance 0.25
#16 · Beedcell 4700004376
distance 0.251 · cross-district
#17 · Solapurcell 4960000981
distance 0.252
#18 · Nashikcell 4870013090
distance 0.254 · 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":4960008118}}}'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.