Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005168
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
43
morphology-v2 feature dimensions
Closest twin distance
0.047
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005478
distance 0.047
#2 · Beedcell 4700005169
distance 0.048
#3 · Parbhanicell 4890000728
distance 0.068 · cross-district
#4 · Parbhanicell 4890000518
distance 0.068 · cross-district
#5 · Beedcell 4700003965
distance 0.07
#6 · Beedcell 4700003964
distance 0.072
#7 · Beedcell 4700003794
distance 0.075
#8 · Beedcell 4700005761
distance 0.076
#9 · Beedcell 4700005471
distance 0.079
#10 · Parbhanicell 4890001487
distance 0.082 · cross-district
#11 · Beedcell 4700004825
distance 0.082
#12 · Parbhanicell 4890000620
distance 0.082 · cross-district
#13 · Beedcell 4700004497
distance 0.084
#14 · Parbhanicell 4890000678
distance 0.085 · cross-district
#15 · Beedcell 4700004495
distance 0.086
#16 · Beedcell 4700004670
distance 0.086
#17 · Parbhanicell 4890000520
distance 0.087 · cross-district
#18 · Parbhanicell 4890001204
distance 0.09 · 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":4700005168}}}'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.