Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990000725
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.065
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770003574
distance 0.065 · cross-district
#2 · Washimcell 4990000104
distance 0.093
#3 · Washimcell 4990000131
distance 0.102
#4 · Washimcell 4990000887
distance 0.117
#5 · Hingolicell 4770003741
distance 0.129 · cross-district
#6 · Washimcell 4990000363
distance 0.131
#7 · Washimcell 4990001064
distance 0.136
#8 · Buldhanacell 4720005125
distance 0.139 · cross-district
#9 · Washimcell 4990001061
distance 0.14
#10 · Washimcell 4990001280
distance 0.141
#11 · Washimcell 4990001276
distance 0.143
#12 · Dharashivcell 4880005386
distance 0.144 · cross-district
#13 · Washimcell 4990000217
distance 0.144
#14 · Washimcell 4990000510
distance 0.144
#15 · Parbhanicell 4890000621
distance 0.148 · cross-district
#16 · Amravaticell 4680005380
distance 0.15 · cross-district
#17 · Washimcell 4990000136
distance 0.15
#18 · Washimcell 4990000309
distance 0.151
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":4990000725}}}'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.