Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890005243
The MH-36 locality cells most similar to this Parbhani 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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.061
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890004940
distance 0.061
#2 · Parbhanicell 4890005242
distance 0.063
#3 · Parbhanicell 4890005279
distance 0.07
#4 · Parbhanicell 4890005280
distance 0.072
#5 · Parbhanicell 4890005336
distance 0.084
#6 · Buldhanacell 4720000005
distance 0.085 · cross-district
#7 · Buldhanacell 4720000000
distance 0.087 · cross-district
#8 · Parbhanicell 4890005409
distance 0.092
#9 · Parbhanicell 4890005154
distance 0.094
#10 · Parbhanicell 4890004974
distance 0.096
#11 · Buldhanacell 4720000013
distance 0.098 · cross-district
#12 · Parbhanicell 4890004746
distance 0.099
#13 · Parbhanicell 4890005424
distance 0.102
#14 · Jalnacell 4790003329
distance 0.102 · cross-district
#15 · Parbhanicell 4890004838
distance 0.106
#16 · Parbhanicell 4890004778
distance 0.108
#17 · Parbhanicell 4890005142
distance 0.112
#18 · Akolacell 4670000205
distance 0.114 · 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":489,"cluster_id":4890005243}}}'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.