Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003138
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
0.046
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880002965
distance 0.046
#2 · Dharashivcell 4880003196
distance 0.062
#3 · Dharashivcell 4880003093
distance 0.07
#4 · Dharashivcell 4880003648
distance 0.079
#5 · Dharashivcell 4880003708
distance 0.08
#6 · Laturcell 4810001940
distance 0.082 · cross-district
#7 · Dharashivcell 4880003050
distance 0.119
#8 · Dharashivcell 4880003649
distance 0.12
#9 · Dharashivcell 4880003695
distance 0.125
#10 · Laturcell 4810001209
distance 0.126 · cross-district
#11 · Dharashivcell 4880003980
distance 0.129
#12 · Dharashivcell 4880003694
distance 0.131
#13 · Dharashivcell 4880002780
distance 0.135
#14 · Dharashivcell 4880003772
distance 0.136
#15 · Laturcell 4810001199
distance 0.136 · cross-district
#16 · Laturcell 4810001941
distance 0.137 · cross-district
#17 · Dharashivcell 4880003758
distance 0.138
#18 · Dharashivcell 4880003638
distance 0.139
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":4880003138}}}'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.