Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005407
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
0.053
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005551
distance 0.053
#2 · Solapurcell 4960005687
distance 0.074
#3 · Solapurcell 4960005410
distance 0.09
#4 · Solapurcell 4960005256
distance 0.093
#5 · Solapurcell 4960005257
distance 0.097
#6 · Solapurcell 4960005411
distance 0.114
#7 · Sataracell 4940004551
distance 0.122 · cross-district
#8 · Solapurcell 4960005258
distance 0.131
#9 · Solapurcell 4960005821
distance 0.134
#10 · Solapurcell 4960006363
distance 0.154
#11 · Solapurcell 4960004807
distance 0.156
#12 · Solapurcell 4960005409
distance 0.16
#13 · Sanglicell 4930007190
distance 0.174 · cross-district
#14 · Ahmednagarcell 4660007026
distance 0.178 · cross-district
#15 · Solapurcell 4960004806
distance 0.183
#16 · Solapurcell 4960005554
distance 0.184
#17 · Ahmednagarcell 4660006748
distance 0.184 · cross-district
#18 · Ahmednagarcell 4660006895
distance 0.19 · 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":4960005407}}}'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.