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Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960011149

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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.154
lower = more alike (weighted)

The twins, closest first

#1 · Solapurcell 4960011147
distance 0.154
#2 · Solapurcell 4960011766
distance 0.196
#3 · Sanglicell 4930005628
distance 0.204 · cross-district
#4 · Solapurcell 4960011762
distance 0.207
#5 · Solapurcell 4960011754
distance 0.21
#6 · Solapurcell 4960011756
distance 0.21
#7 · Solapurcell 4960012089
distance 0.219
#8 · Solapurcell 4960012013
distance 0.225
#9 · Solapurcell 4960011070
distance 0.228
#10 · Solapurcell 4960010765
distance 0.23
#11 · Solapurcell 4960011924
distance 0.233
#12 · Solapurcell 4960010996
distance 0.236
#13 · Solapurcell 4960011071
distance 0.237
#14 · Solapurcell 4960011838
distance 0.238
#15 · Solapurcell 4960011313
distance 0.238
#16 · Solapurcell 4960011220
distance 0.238
#17 · Solapurcell 4960012157
distance 0.238
#18 · Sanglicell 4930001123
distance 0.238 · 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":4960011149}}}'
Machine-readable JSON twin →Full dossier →

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.