Bhārata Strata · Maharashtra · Jalna · morphological twins
Places like cell 4790001700
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.107
lower = more alike (weighted)
The twins, closest first
#1 · Jalnacell 4790001854
distance 0.107
#2 · Beedcell 4700007613
distance 0.154 · cross-district
#3 · Beedcell 4700007249
distance 0.155 · cross-district
#4 · Jalnacell 4790001843
distance 0.163
#5 · Jalnacell 4790001247
distance 0.166
#6 · Jalnacell 4790000473
distance 0.168
#7 · Jalnacell 4790001946
distance 0.171
#8 · Jalnacell 4790000543
distance 0.174
#9 · Beedcell 4700000939
distance 0.175 · cross-district
#10 · Jalnacell 4790000949
distance 0.178
#11 · Jalnacell 4790001935
distance 0.178
#12 · Beedcell 4700001306
distance 0.184 · cross-district
#13 · Beedcell 4700008597
distance 0.187 · cross-district
#14 · Jalnacell 4790000542
distance 0.188
#15 · Jalnacell 4790001459
distance 0.189
#16 · Beedcell 4700007893
distance 0.195 · cross-district
#17 · Parbhanicell 4890002195
distance 0.196 · cross-district
#18 · Beedcell 4700000678
distance 0.196 · 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":479,"cluster_id":4790001700}}}'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.