Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960000729
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.196
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960000278
distance 0.196
#2 · Solapurcell 4960000531
distance 0.205
#3 · Solapurcell 4960000525
distance 0.207
#4 · Solapurcell 4960003282
distance 0.207
#5 · Solapurcell 4960000811
distance 0.216
#6 · Solapurcell 4960002047
distance 0.224
#7 · Solapurcell 4960000794
distance 0.226
#8 · Solapurcell 4960001923
distance 0.231
#9 · Solapurcell 4960000030
distance 0.233
#10 · Sanglicell 4930001331
distance 0.235 · cross-district
#11 · Sanglicell 4930005361
distance 0.235 · cross-district
#12 · Solapurcell 4960001681
distance 0.236
#13 · Beedcell 4700002867
distance 0.237 · cross-district
#14 · Sanglicell 4930001452
distance 0.241 · cross-district
#15 · Solapurcell 4960005936
distance 0.242
#16 · Buldhanacell 4720001472
distance 0.242 · cross-district
#17 · Solapurcell 4960001553
distance 0.247
#18 · Beedcell 4700005108
distance 0.249 · 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":4960000729}}}'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.