Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008266
The MH-36 locality cells most similar to this Beed 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
43
morphology-v2 feature dimensions
Closest twin distance
0.043
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008440
distance 0.043
#2 · Beedcell 4700008534
distance 0.053
#3 · Beedcell 4700008670
distance 0.062
#4 · Beedcell 4700008967
distance 0.064
#5 · Beedcell 4700008455
distance 0.067
#6 · Jalnacell 4790001037
distance 0.071 · cross-district
#7 · Beedcell 4700008533
distance 0.073
#8 · Beedcell 4700008604
distance 0.077
#9 · Jalnacell 4790000237
distance 0.077 · cross-district
#10 · Jalnacell 4790000024
distance 0.078 · cross-district
#11 · Beedcell 4700008998
distance 0.082
#12 · Beedcell 4700008256
distance 0.084
#13 · Beedcell 4700008513
distance 0.084
#14 · Jalnacell 4790000288
distance 0.087 · cross-district
#15 · Jalnacell 4790000076
distance 0.087 · cross-district
#16 · Jalnacell 4790000122
distance 0.09 · cross-district
#17 · Jalnacell 4790000177
distance 0.091 · cross-district
#18 · Jalnacell 4790000144
distance 0.091 · 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":470,"cluster_id":4700008266}}}'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.