Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850003004
The MH-36 locality cells most similar to this Nanded 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
0.122
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850003006
distance 0.122
#2 · Nandedcell 4850004192
distance 0.129
#3 · Nandedcell 4850004540
distance 0.151
#4 · Nandedcell 4850004402
distance 0.161
#5 · Nandedcell 4850003834
distance 0.165
#6 · Nandedcell 4850003285
distance 0.165
#7 · Nandedcell 4850004601
distance 0.167
#8 · Nandedcell 4850003005
distance 0.173
#9 · Nandedcell 4850004537
distance 0.173
#10 · Washimcell 4990001644
distance 0.173 · cross-district
#11 · Nandedcell 4850004406
distance 0.179
#12 · Beedcell 4700005317
distance 0.179 · cross-district
#13 · Yavatmalcell 5000005990
distance 0.18 · cross-district
#14 · Washimcell 4990002615
distance 0.182 · cross-district
#15 · Nandedcell 4850003590
distance 0.182
#16 · Beedcell 4700007805
distance 0.186 · cross-district
#17 · Washimcell 4990002109
distance 0.188 · cross-district
#18 · Beedcell 4700008597
distance 0.189 · 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":485,"cluster_id":4850003004}}}'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.