Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008464
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 3 distinct districts
Index confidence
0.91
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 4700008197
distance 0.043
#2 · Beedcell 4700008288
distance 0.054
#3 · Beedcell 4700008287
distance 0.061
#4 · Beedcell 4700008378
distance 0.071
#5 · Jalnacell 4790000065
distance 0.081 · cross-district
#6 · Beedcell 4700008379
distance 0.082
#7 · Beedcell 4700007372
distance 0.089
#8 · Beedcell 4700008539
distance 0.09
#9 · Beedcell 4700008377
distance 0.091
#10 · Parbhanicell 4890003486
distance 0.096 · cross-district
#11 · Parbhanicell 4890003550
distance 0.098 · cross-district
#12 · Jalnacell 4790000206
distance 0.101 · cross-district
#13 · Jalnacell 4790000044
distance 0.102 · cross-district
#14 · Jalnacell 4790000067
distance 0.104 · cross-district
#15 · Beedcell 4700008283
distance 0.104
#16 · Jalnacell 4790000197
distance 0.104 · cross-district
#17 · Beedcell 4700008011
distance 0.106
#18 · Parbhanicell 4890003485
distance 0.106 · 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":4700008464}}}'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.