Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960002083
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
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.213
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960002210
distance 0.213
#2 · Solapurcell 4960003298
distance 0.215
#3 · Sanglicell 4930001963
distance 0.221 · cross-district
#4 · Solapurcell 4960005046
distance 0.232
#5 · Solapurcell 4960000540
distance 0.243
#6 · Dharashivcell 4880005371
distance 0.249 · cross-district
#7 · Solapurcell 4960000680
distance 0.254
#8 · Solapurcell 4960000912
distance 0.27
#9 · Solapurcell 4960003438
distance 0.273
#10 · Solapurcell 4960003998
distance 0.274
#11 · Laturcell 4810001527
distance 0.276 · cross-district
#12 · Solapurcell 4960000826
distance 0.276
#13 · Solapurcell 4960003993
distance 0.279
#14 · Sanglicell 4930004332
distance 0.283 · cross-district
#15 · Solapurcell 4960004423
distance 0.284
#16 · Solapurcell 4960001692
distance 0.284
#17 · Solapurcell 4960003722
distance 0.286
#18 · Dharashivcell 4880004892
distance 0.286 · 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":4960002083}}}'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.