Bhārata Strata · Maharashtra · Washim · morphological twins
Places like cell 4990001658
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
0.112
lower = more alike (weighted)
The twins, closest first
#1 · Washimcell 4990001667
distance 0.112
#2 · Washimcell 4990003327
distance 0.129
#3 · Hingolicell 4770003942
distance 0.137 · cross-district
#4 · Washimcell 4990002627
distance 0.138
#5 · Washimcell 4990001195
distance 0.14
#6 · Washimcell 4990002461
distance 0.147
#7 · Washimcell 4990002790
distance 0.155
#8 · Dharashivcell 4880000248
distance 0.155 · cross-district
#9 · Jalnacell 4790000243
distance 0.157 · cross-district
#10 · Dharashivcell 4880000006
distance 0.159 · cross-district
#11 · Washimcell 4990001579
distance 0.159
#12 · Washimcell 4990002297
distance 0.159
#13 · Washimcell 4990001864
distance 0.162
#14 · Washimcell 4990001859
distance 0.163
#15 · Washimcell 4990003094
distance 0.167
#16 · Buldhanacell 4720002492
distance 0.168 · cross-district
#17 · Washimcell 4990002060
distance 0.169
#18 · Nandedcell 4850003103
distance 0.17 · 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":4990001658}}}'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.