Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990003552
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.108
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990000561
distance 0.108
#2 · Washimcell 4990003853
distance 0.119
#3 · Washimcell 4990000212
distance 0.12
#4 · Buldhanacell 4720001923
distance 0.122 · cross-district
#5 · Hingolicell 4770003824
distance 0.124 · cross-district
#6 · Washimcell 4990002943
distance 0.124
#7 · Washimcell 4990003151
distance 0.125
#8 · Washimcell 4990000562
distance 0.128
#9 · Washimcell 4990003544
distance 0.128
#10 · Buldhanacell 4720002385
distance 0.13 · cross-district
#11 · Washimcell 4990000418
distance 0.13
#12 · Washimcell 4990000407
distance 0.131
#13 · Washimcell 4990000484
distance 0.131
#14 · Dharashivcell 4880000068
distance 0.132 · cross-district
#15 · Washimcell 4990000475
distance 0.132
#16 · Hingolicell 4770003968
distance 0.134 · cross-district
#17 · Hingolicell 4770003992
distance 0.135 · cross-district
#18 · Washimcell 4990000625
distance 0.135
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":4990003552}}}'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.