Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990000968
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990000310
distance 0.088
#2 · Washimcell 4990000967
distance 0.096
#3 · Washimcell 4990000514
distance 0.108
#4 · Washimcell 4990000266
distance 0.109
#5 · Washimcell 4990001077
distance 0.111
#6 · Washimcell 4990000263
distance 0.115
#7 · Washimcell 4990001066
distance 0.129
#8 · Beedcell 4700005732
distance 0.13 · cross-district
#9 · Washimcell 4990000805
distance 0.136
#10 · Washimcell 4990000309
distance 0.147
#11 · Buldhanacell 4720005661
distance 0.148 · cross-district
#12 · Washimcell 4990000378
distance 0.15
#13 · Buldhanacell 4720006015
distance 0.151 · cross-district
#14 · Buldhanacell 4720001357
distance 0.152 · cross-district
#15 · Washimcell 4990001063
distance 0.154
#16 · Buldhanacell 4720005448
distance 0.155 · cross-district
#17 · Washimcell 4990000199
distance 0.157
#18 · Buldhanacell 4720002322
distance 0.157 · 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":499,"cluster_id":4990000968}}}'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.