Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990003545
The MH-36 locality cells most similar to this Washim 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 6 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.117
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990004225
distance 0.117
#2 · Washimcell 4990000931
distance 0.119
#3 · Washimcell 4990003494
distance 0.124
#4 · Yavatmalcell 5000010899
distance 0.124 · cross-district
#5 · Washimcell 4990004139
distance 0.126
#6 · Washimcell 4990003871
distance 0.133
#7 · Washimcell 4990000795
distance 0.134
#8 · Washimcell 4990000704
distance 0.15
#9 · Washimcell 4990003432
distance 0.152
#10 · Washimcell 4990003840
distance 0.155
#11 · Jalnacell 4790005727
distance 0.164 · cross-district
#12 · Buldhanacell 4720002040
distance 0.164 · cross-district
#13 · Dharashivcell 4880001030
distance 0.166 · cross-district
#14 · Solapurcell 4960011607
distance 0.168 · cross-district
#15 · Dharashivcell 4880004712
distance 0.17 · cross-district
#16 · Washimcell 4990002558
distance 0.171
#17 · Washimcell 4990001227
distance 0.171
#18 · Washimcell 4990003800
distance 0.174
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":499,"cluster_id":4990003545}}}'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.