Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008385
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.052
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003486
distance 0.052 · cross-district
#2 · Beedcell 4700007273
distance 0.066
#3 · Beedcell 4700008104
distance 0.069
#4 · Beedcell 4700008283
distance 0.071
#5 · Parbhanicell 4890003549
distance 0.071 · cross-district
#6 · Parbhanicell 4890002793
distance 0.074 · cross-district
#7 · Parbhanicell 4890003485
distance 0.076 · cross-district
#8 · Beedcell 4700008196
distance 0.077
#9 · Parbhanicell 4890003477
distance 0.079 · cross-district
#10 · Parbhanicell 4890003201
distance 0.08 · cross-district
#11 · Beedcell 4700008020
distance 0.08
#12 · Parbhanicell 4890003484
distance 0.08 · cross-district
#13 · Beedcell 4700008469
distance 0.082
#14 · Beedcell 4700007836
distance 0.083
#15 · Beedcell 4700008296
distance 0.084
#16 · Beedcell 4700007274
distance 0.085
#17 · Beedcell 4700008383
distance 0.085
#18 · Beedcell 4700007832
distance 0.086
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":4700008385}}}'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.