Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990002102
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.038
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720001656
distance 0.038 · cross-district
#2 · Washimcell 4990001466
distance 0.038
#3 · Washimcell 4990001363
distance 0.043
#4 · Washimcell 4990001652
distance 0.046
#5 · Washimcell 4990001467
distance 0.047
#6 · Washimcell 4990001739
distance 0.049
#7 · Washimcell 4990001926
distance 0.049
#8 · Washimcell 4990002099
distance 0.052
#9 · Washimcell 4990001468
distance 0.053
#10 · Washimcell 4990001362
distance 0.056
#11 · Washimcell 4990001364
distance 0.057
#12 · Buldhanacell 4720001531
distance 0.058 · cross-district
#13 · Washimcell 4990001924
distance 0.06
#14 · Washimcell 4990002106
distance 0.061
#15 · Buldhanacell 4720002096
distance 0.061 · cross-district
#16 · Buldhanacell 4720001910
distance 0.063 · cross-district
#17 · Buldhanacell 4720001721
distance 0.064 · cross-district
#18 · Buldhanacell 4720001657
distance 0.065 · 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":4990002102}}}'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.