Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000002176
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.109
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000002175
distance 0.109
#2 · Yavatmalcell 5000002426
distance 0.135
#3 · Yavatmalcell 5000002299
distance 0.136
#4 · Yavatmalcell 5000002297
distance 0.144
#5 · Yavatmalcell 5000001961
distance 0.17
#6 · Yavatmalcell 5000002427
distance 0.171
#7 · Yavatmalcell 5000002316
distance 0.198
#8 · Nagpurcell 4840007576
distance 0.198 · cross-district
#9 · Gadchirolicell 4750003882
distance 0.201 · cross-district
#10 · Yavatmalcell 5000001835
distance 0.204
#11 · Yavatmalcell 5000002073
distance 0.206
#12 · Yavatmalcell 5000002424
distance 0.211
#13 · Gadchirolicell 4750004799
distance 0.211 · cross-district
#14 · Yavatmalcell 5000001957
distance 0.214
#15 · Gadchirolicell 4750003405
distance 0.215 · cross-district
#16 · Yavatmalcell 5000002174
distance 0.215
#17 · Yavatmalcell 5000002169
distance 0.216
#18 · Yavatmalcell 5000002296
distance 0.217
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":5000002176}}}'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.