Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680004277
The MH-36 locality cells most similar to this Amravati 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.099
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680002499
distance 0.099
#2 · Amravaticell 4680004469
distance 0.105
#3 · Amravaticell 4680003591
distance 0.149
#4 · Amravaticell 4680004663
distance 0.15
#5 · Amravaticell 4680002072
distance 0.15
#6 · Amravaticell 4680002394
distance 0.17
#7 · Amravaticell 4680003392
distance 0.175
#8 · Amravaticell 4680004560
distance 0.177
#9 · Amravaticell 4680003793
distance 0.181
#10 · Amravaticell 4680004660
distance 0.182
#11 · Amravaticell 4680002497
distance 0.182
#12 · Amravaticell 4680004658
distance 0.187
#13 · Amravaticell 4680003099
distance 0.199
#14 · Jalnacell 4790003211
distance 0.2 · cross-district
#15 · Chandrapurcell 4730007069
distance 0.201 · cross-district
#16 · Yavatmalcell 5000008486
distance 0.201 · cross-district
#17 · Buldhanacell 4720006856
distance 0.204 · cross-district
#18 · Beedcell 4700006953
distance 0.206 · cross-district
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":468,"cluster_id":4680004277}}}'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.