Bhārata Strata · Maharashtra · Nagpur · morphological twins
Places like cell 4840000921
The MH-36 locality cells most similar to this Nagpur 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
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.111
lower = more alike (weighted)
The twins, closest first
#1 · Nagpurcell 4840001047
distance 0.111
#2 · Nagpurcell 4840000857
distance 0.146
#3 · Nagpurcell 4840001791
distance 0.171
#4 · Yavatmalcell 5000008180
distance 0.174 · cross-district
#5 · Nagpurcell 4840002058
distance 0.18
#6 · Nagpurcell 4840001618
distance 0.183
#7 · Nagpurcell 4840000269
distance 0.189
#8 · Yavatmalcell 5000003365
distance 0.195 · cross-district
#9 · Nagpurcell 4840002153
distance 0.199
#10 · Yavatmalcell 5000007531
distance 0.199 · cross-district
#11 · Gondiacell 4760000569
distance 0.2 · cross-district
#12 · Nagpurcell 4840000430
distance 0.202
#13 · Nagpurcell 4840000375
distance 0.203
#14 · Nagpurcell 4840004259
distance 0.204
#15 · Nagpurcell 4840006269
distance 0.206
#16 · Yavatmalcell 5000003179
distance 0.206 · cross-district
#17 · Yavatmalcell 5000006779
distance 0.208 · cross-district
#18 · Nagpurcell 4840000512
distance 0.209
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":484,"cluster_id":4840000921}}}'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.