Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960009615
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.152
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009514
distance 0.152
#2 · Dharashivcell 4880003415
distance 0.177 · cross-district
#3 · Solapurcell 4960009527
distance 0.2
#4 · Solapurcell 4960008086
distance 0.224
#5 · Solapurcell 4960003101
distance 0.229
#6 · Solapurcell 4960003815
distance 0.233
#7 · Solapurcell 4960008105
distance 0.234
#8 · Nashikcell 4870005554
distance 0.243 · cross-district
#9 · Solapurcell 4960008620
distance 0.245
#10 · Sanglicell 4930005637
distance 0.25 · cross-district
#11 · Solapurcell 4960007863
distance 0.253
#12 · Solapurcell 4960002574
distance 0.256
#13 · Solapurcell 4960003956
distance 0.258
#14 · Solapurcell 4960005746
distance 0.259
#15 · Nashikcell 4870007465
distance 0.26 · cross-district
#16 · Nashikcell 4870007464
distance 0.26 · cross-district
#17 · Nashikcell 4870005407
distance 0.26 · cross-district
#18 · Solapurcell 4960004091
distance 0.261
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":4960009615}}}'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.