Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000000287
The MH-36 locality cells most similar to this Yavatmal 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.048
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000289
distance 0.048
#2 · Yavatmalcell 5000000605
distance 0.052
#3 · Yavatmalcell 5000000389
distance 0.052
#4 · Yavatmalcell 5000000295
distance 0.057
#5 · Yavatmalcell 5000000446
distance 0.058
#6 · Nandedcell 4850007595
distance 0.059 · cross-district
#7 · Yavatmalcell 5000000549
distance 0.061
#8 · Nandedcell 4850007536
distance 0.063 · cross-district
#9 · Yavatmalcell 5000000199
distance 0.064
#10 · Yavatmalcell 5000000296
distance 0.069
#11 · Yavatmalcell 5000000512
distance 0.069
#12 · Nandedcell 4850007135
distance 0.071 · cross-district
#13 · Nandedcell 4850007639
distance 0.073 · cross-district
#14 · Yavatmalcell 5000000292
distance 0.073
#15 · Yavatmalcell 5000000198
distance 0.076
#16 · Yavatmalcell 5000000441
distance 0.076
#17 · Yavatmalcell 5000000250
distance 0.08
#18 · Nandedcell 4850007796
distance 0.081 · 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":500,"cluster_id":5000000287}}}'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.