Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750009621
The MH-36 locality cells most similar to this Gadchiroli 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.077
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750009618
distance 0.077
#2 · Gadchirolicell 4750009564
distance 0.123
#3 · Gadchirolicell 4750008306
distance 0.2
#4 · Gadchirolicell 4750007621
distance 0.202
#5 · Gadchirolicell 4750010834
distance 0.208
#6 · Gadchirolicell 4750007753
distance 0.209
#7 · Gadchirolicell 4750008974
distance 0.21
#8 · Gadchirolicell 4750009924
distance 0.211
#9 · Chandrapurcell 4730003423
distance 0.214 · cross-district
#10 · Gadchirolicell 4750008927
distance 0.214
#11 · Gadchirolicell 4750010018
distance 0.214
#12 · Yavatmalcell 5000008564
distance 0.216 · cross-district
#13 · Gadchirolicell 4750010979
distance 0.218
#14 · Gadchirolicell 4750008250
distance 0.222
#15 · Gadchirolicell 4750008040
distance 0.224
#16 · Gadchirolicell 4750008173
distance 0.226
#17 · Gadchirolicell 4750009984
distance 0.227
#18 · Gadchirolicell 4750010775
distance 0.236
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":475,"cluster_id":4750009621}}}'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.