Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880005243
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
0.054
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880005238
distance 0.054
#2 · Dharashivcell 4880005528
distance 0.067
#3 · Dharashivcell 4880005141
distance 0.076
#4 · Dharashivcell 4880005042
distance 0.085
#5 · Dharashivcell 4880004664
distance 0.088
#6 · Dharashivcell 4880005047
distance 0.094
#7 · Dharashivcell 4880005233
distance 0.095
#8 · Dharashivcell 4880005335
distance 0.098
#9 · Dharashivcell 4880005430
distance 0.098
#10 · Ahmednagarcell 4660001040
distance 0.109 · cross-district
#11 · Dharashivcell 4880004663
distance 0.109
#12 · Dharashivcell 4880005139
distance 0.111
#13 · Dharashivcell 4880005146
distance 0.112
#14 · Ahmednagarcell 4660001135
distance 0.114 · cross-district
#15 · Dharashivcell 4880004567
distance 0.114
#16 · Beedcell 4700001539
distance 0.116 · cross-district
#17 · Dharashivcell 4880005431
distance 0.117
#18 · Dharashivcell 4880004845
distance 0.117
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":4880005243}}}'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.