Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980002303
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.192
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002385
distance 0.192
#2 · Wardhacell 4980003081
distance 0.195
#3 · Wardhacell 4980002308
distance 0.211
#4 · Wardhacell 4980003250
distance 0.228
#5 · Amravaticell 4680008514
distance 0.235 · cross-district
#6 · Wardhacell 4980002250
distance 0.242
#7 · Wardhacell 4980003124
distance 0.255
#8 · Wardhacell 4980003145
distance 0.256
#9 · Wardhacell 4980003208
distance 0.264
#10 · Jalnacell 4790003062
distance 0.266 · cross-district
#11 · Wardhacell 4980002305
distance 0.266
#12 · Wardhacell 4980002304
distance 0.269
#13 · Wardhacell 4980002383
distance 0.271
#14 · Yavatmalcell 5000010402
distance 0.272 · cross-district
#15 · Amravaticell 4680004381
distance 0.273 · cross-district
#16 · Amravaticell 4680002403
distance 0.274 · cross-district
#17 · Solapurcell 4960003962
distance 0.275 · cross-district
#18 · Wardhacell 4980003132
distance 0.276
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":4980002303}}}'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.