Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880004820
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.068
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880006154
distance 0.068
#2 · Dharashivcell 4880006089
distance 0.099
#3 · Dharashivcell 4880001288
distance 0.104
#4 · Solapurcell 4960005669
distance 0.105 · cross-district
#5 · Dharashivcell 4880001544
distance 0.105
#6 · Dharashivcell 4880005382
distance 0.107
#7 · Dharashivcell 4880005197
distance 0.108
#8 · Dharashivcell 4880004724
distance 0.109
#9 · Dharashivcell 4880004805
distance 0.112
#10 · Dharashivcell 4880000449
distance 0.113
#11 · Dharashivcell 4880004368
distance 0.113
#12 · Dharashivcell 4880001548
distance 0.114
#13 · Dharashivcell 4880005659
distance 0.114
#14 · Beedcell 4700000090
distance 0.115 · cross-district
#15 · Dharashivcell 4880000229
distance 0.116
#16 · Beedcell 4700000094
distance 0.116 · cross-district
#17 · Dharashivcell 4880005098
distance 0.118
#18 · Solapurcell 4960006477
distance 0.118 · 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":488,"cluster_id":4880004820}}}'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.