Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990003151
The MH-36 locality cells most similar to this Washim 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990002943
distance 0.088
#2 · Washimcell 4990002475
distance 0.089
#3 · Washimcell 4990002567
distance 0.094
#4 · Hingolicell 4770000447
distance 0.103 · cross-district
#5 · Washimcell 4990002878
distance 0.103
#6 · Washimcell 4990000608
distance 0.104
#7 · Washimcell 4990002394
distance 0.11
#8 · Washimcell 4990000607
distance 0.111
#9 · Washimcell 4990000537
distance 0.111
#10 · Hingolicell 4770000402
distance 0.113 · cross-district
#11 · Washimcell 4990002879
distance 0.113
#12 · Hingolicell 4770000441
distance 0.115 · cross-district
#13 · Hingolicell 4770000495
distance 0.117 · cross-district
#14 · Hingolicell 4770000442
distance 0.118 · cross-district
#15 · Hingolicell 4770000446
distance 0.119 · cross-district
#16 · Washimcell 4990002311
distance 0.119
#17 · Washimcell 4990003084
distance 0.119
#18 · Washimcell 4990003152
distance 0.121
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":499,"cluster_id":4990003151}}}'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.