Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001296
The MH-36 locality cells most similar to this Wardha 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
0.169
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000011003
distance 0.169 · cross-district
#2 · Wardhacell 4980000663
distance 0.178
#3 · Wardhacell 4980000748
distance 0.179
#4 · Wardhacell 4980001098
distance 0.195
#5 · Wardhacell 4980001574
distance 0.199
#6 · Wardhacell 4980000832
distance 0.207
#7 · Yavatmalcell 5000008605
distance 0.209 · cross-district
#8 · Wardhacell 4980002989
distance 0.214
#9 · Wardhacell 4980001285
distance 0.22
#10 · Nagpurcell 4840001014
distance 0.221 · cross-district
#11 · Wardhacell 4980000632
distance 0.222
#12 · Wardhacell 4980000483
distance 0.223
#13 · Amravaticell 4680007220
distance 0.224 · cross-district
#14 · Bhandaracell 4710001419
distance 0.225 · cross-district
#15 · Wardhacell 4980002201
distance 0.225
#16 · Chandrapurcell 4730006841
distance 0.226 · cross-district
#17 · Wardhacell 4980001456
distance 0.227
#18 · Wardhacell 4980002080
distance 0.228
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":498,"cluster_id":4980001296}}}'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.