Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880001243
The MH-36 locality cells most similar to this Dharashiv 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.067
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880002165
distance 0.067
#2 · Dharashivcell 4880001756
distance 0.072
#3 · Dharashivcell 4880001936
distance 0.085
#4 · Dharashivcell 4880002092
distance 0.085
#5 · Laturcell 4810000675
distance 0.099 · cross-district
#6 · Laturcell 4810000505
distance 0.1 · cross-district
#7 · Dharashivcell 4880001676
distance 0.1
#8 · Dharashivcell 4880001320
distance 0.1
#9 · Dharashivcell 4880001228
distance 0.102
#10 · Dharashivcell 4880001321
distance 0.103
#11 · Laturcell 4810000668
distance 0.106 · cross-district
#12 · Dharashivcell 4880002168
distance 0.108
#13 · Dharashivcell 4880001734
distance 0.11
#14 · Dharashivcell 4880002391
distance 0.11
#15 · Dharashivcell 4880001758
distance 0.113
#16 · Dharashivcell 4880001231
distance 0.113
#17 · Laturcell 4810000800
distance 0.114 · cross-district
#18 · Dharashivcell 4880002170
distance 0.115
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":488,"cluster_id":4880001243}}}'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.