Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680010338
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.092
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680010391
distance 0.092
#2 · Amravaticell 4680010339
distance 0.121
#3 · Amravaticell 4680010172
distance 0.157
#4 · Amravaticell 4680010392
distance 0.212
#5 · Amravaticell 4680010103
distance 0.227
#6 · Nagpurcell 4840008420
distance 0.254 · cross-district
#7 · Amravaticell 4680009767
distance 0.267
#8 · Amravaticell 4680010114
distance 0.268
#9 · Amravaticell 4680010044
distance 0.27
#10 · Amravaticell 4680010045
distance 0.281
#11 · Gondiacell 4760002185
distance 0.285 · cross-district
#12 · Amravaticell 4680010285
distance 0.287
#13 · Gondiacell 4760000910
distance 0.288 · cross-district
#14 · Amravaticell 4680010230
distance 0.292
#15 · Amravaticell 4680006658
distance 0.294
#16 · Amravaticell 4680010286
distance 0.294
#17 · Gondiacell 4760002454
distance 0.294 · cross-district
#18 · Nagpurcell 4840008291
distance 0.295 · 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":4680010338}}}'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.