Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003769
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
0.067
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880003640
distance 0.067
#2 · Dharashivcell 4880003577
distance 0.076
#3 · Laturcell 4810002201
distance 0.079 · cross-district
#4 · Laturcell 4810002649
distance 0.085 · cross-district
#5 · Dharashivcell 4880003391
distance 0.087
#6 · Laturcell 4810000989
distance 0.096 · cross-district
#7 · Dharashivcell 4880003585
distance 0.106
#8 · Dharashivcell 4880005916
distance 0.11
#9 · Dharashivcell 4880003514
distance 0.112
#10 · Dharashivcell 4880003507
distance 0.117
#11 · Dharashivcell 4880004132
distance 0.121
#12 · Dharashivcell 4880003701
distance 0.122
#13 · Dharashivcell 4880003578
distance 0.122
#14 · Laturcell 4810002745
distance 0.123 · cross-district
#15 · Dharashivcell 4880003458
distance 0.123
#16 · Dharashivcell 4880003839
distance 0.124
#17 · Dharashivcell 4880003889
distance 0.128
#18 · Dharashivcell 4880005993
distance 0.128
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":4880003769}}}'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.