Bhārata Strata · Maharashtra · Jalna · morphological twins
Places like cell 4790001481
The MH-36 locality cells most similar to this Jalna 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
45
morphology-v2 feature dimensions
Closest twin distance
0.124
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700007705
distance 0.124 · cross-district
#2 · Beedcell 4700007612
distance 0.129 · cross-district
#3 · Beedcell 4700008516
distance 0.133 · cross-district
#4 · Beedcell 4700001177
distance 0.138 · cross-district
#5 · Jalnacell 4790001047
distance 0.145
#6 · Jalnacell 4790000180
distance 0.148
#7 · Jalnacell 4790001558
distance 0.149
#8 · Jalnacell 4790003042
distance 0.15
#9 · Jalnacell 4790000010
distance 0.15
#10 · Beedcell 4700007708
distance 0.15 · cross-district
#11 · Jalnacell 4790002880
distance 0.151
#12 · Beedcell 4700000254
distance 0.153 · cross-district
#13 · Beedcell 4700008515
distance 0.154 · cross-district
#14 · Jalnacell 4790003487
distance 0.156
#15 · Jalnacell 4790000761
distance 0.16
#16 · Beedcell 4700008097
distance 0.16 · cross-district
#17 · Jalnacell 4790000895
distance 0.162
#18 · Jalnacell 4790002716
distance 0.163
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":479,"cluster_id":4790001481}}}'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.