Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008288
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
0.047
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008197
distance 0.047
#2 · Beedcell 4700008464
distance 0.054
#3 · Beedcell 4700008283
distance 0.072
#4 · Beedcell 4700008098
distance 0.072
#5 · Parbhanicell 4890003486
distance 0.074 · cross-district
#6 · Parbhanicell 4890003477
distance 0.075 · cross-district
#7 · Jalnacell 4790000167
distance 0.077 · cross-district
#8 · Beedcell 4700008378
distance 0.078
#9 · Jalnacell 4790000206
distance 0.078 · cross-district
#10 · Beedcell 4700008099
distance 0.08
#11 · Beedcell 4700008287
distance 0.08
#12 · Beedcell 4700008379
distance 0.082
#13 · Parbhanicell 4890003550
distance 0.084 · cross-district
#14 · Beedcell 4700008468
distance 0.085
#15 · Jalnacell 4790000197
distance 0.085 · cross-district
#16 · Parbhanicell 4890003485
distance 0.086 · cross-district
#17 · Beedcell 4700008539
distance 0.088
#18 · Jalnacell 4790000044
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":4700008288}}}'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.