Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880006446
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
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880006451
distance 0.088
#2 · Dharashivcell 4880006373
distance 0.095
#3 · Dharashivcell 4880006434
distance 0.099
#4 · Dharashivcell 4880006321
distance 0.101
#5 · Dharashivcell 4880006408
distance 0.105
#6 · Dharashivcell 4880006289
distance 0.108
#7 · Dharashivcell 4880006450
distance 0.108
#8 · Dharashivcell 4880006370
distance 0.113
#9 · Dharashivcell 4880006288
distance 0.114
#10 · Dharashivcell 4880006322
distance 0.119
#11 · Dharashivcell 4880006406
distance 0.121
#12 · Dharashivcell 4880006281
distance 0.122
#13 · Beedcell 4700001120
distance 0.129 · cross-district
#14 · Beedcell 4700000637
distance 0.133 · cross-district
#15 · Beedcell 4700000434
distance 0.133 · cross-district
#16 · Dharashivcell 4880006284
distance 0.136
#17 · Dharashivcell 4880006375
distance 0.139
#18 · Beedcell 4700003530
distance 0.139 · 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":4880006446}}}'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.