Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880004572
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
0.056
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880004953
distance 0.056
#2 · Dharashivcell 4880004485
distance 0.079
#3 · Dharashivcell 4880005146
distance 0.103
#4 · Dharashivcell 4880005048
distance 0.104
#5 · Dharashivcell 4880005041
distance 0.133
#6 · Dharashivcell 4880004755
distance 0.137
#7 · Dharashivcell 4880005238
distance 0.138
#8 · Dharashivcell 4880005244
distance 0.141
#9 · Dharashivcell 4880004952
distance 0.16
#10 · Dharashivcell 4880005431
distance 0.163
#11 · Ahmednagarcell 4660002219
distance 0.166 · cross-district
#12 · Dharashivcell 4880005243
distance 0.167
#13 · Ahmednagarcell 4660001040
distance 0.169 · cross-district
#14 · Ahmednagarcell 4660000868
distance 0.169 · cross-district
#15 · Dharashivcell 4880005147
distance 0.172
#16 · Dharashivcell 4880004845
distance 0.173
#17 · Dharashivcell 4880004750
distance 0.175
#18 · Dharashivcell 4880005515
distance 0.177
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":4880004572}}}'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.