Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000010090
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
0.163
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000010497
distance 0.163
#2 · Yavatmalcell 5000010089
distance 0.179
#3 · Yavatmalcell 5000010305
distance 0.195
#4 · Yavatmalcell 5000009333
distance 0.245
#5 · Yavatmalcell 5000010584
distance 0.247
#6 · Yavatmalcell 5000010092
distance 0.254
#7 · Yavatmalcell 5000010200
distance 0.258
#8 · Yavatmalcell 5000010587
distance 0.261
#9 · Amravaticell 4680008403
distance 0.267 · cross-district
#10 · Amravaticell 4680008410
distance 0.27 · cross-district
#11 · Yavatmalcell 5000010084
distance 0.271
#12 · Amravaticell 4680007688
distance 0.276 · cross-district
#13 · Amravaticell 4680008189
distance 0.277 · cross-district
#14 · Yavatmalcell 5000008290
distance 0.278
#15 · Yavatmalcell 5000009330
distance 0.278
#16 · Yavatmalcell 5000009778
distance 0.285
#17 · Yavatmalcell 5000008871
distance 0.285
#18 · Yavatmalcell 5000009320
distance 0.286
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":5000010090}}}'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.