Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004153
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
0.95
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.215
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002364
distance 0.215
#2 · Solapurcell 4960003613
distance 0.221
#3 · Solapurcell 4960002222
distance 0.221
#4 · Solapurcell 4960002096
distance 0.224
#5 · Solapurcell 4960001980
distance 0.229
#6 · Solapurcell 4960003602
distance 0.235
#7 · Solapurcell 4960003178
distance 0.253
#8 · Solapurcell 4960001625
distance 0.254
#9 · Buldhanacell 4720002115
distance 0.257 · cross-district
#10 · Jalnacell 4790004502
distance 0.257 · cross-district
#11 · Solapurcell 4960005655
distance 0.26
#12 · Solapurcell 4960010389
distance 0.262
#13 · Jalgaoncell 4780006093
distance 0.269 · cross-district
#14 · Solapurcell 4960000385
distance 0.273
#15 · Buldhanacell 4720007314
distance 0.273 · cross-district
#16 · Washimcell 4990003914
distance 0.274 · cross-district
#17 · Solapurcell 4960002770
distance 0.275
#18 · Solapurcell 4960004459
distance 0.275
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":4960004153}}}'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.