Bhārata Strata · Maharashtra · Nagpur · morphological twins
Places like cell 4840002621
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 6 distinct districts
Index confidence
0.95
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Nagpurcell 4840002906
distance 0.167
#2 · Nagpurcell 4840004480
distance 0.168
#3 · Nagpurcell 4840003006
distance 0.178
#4 · Nagpurcell 4840005356
distance 0.181
#5 · Nagpurcell 4840002811
distance 0.188
#6 · Nagpurcell 4840002509
distance 0.189
#7 · Yavatmalcell 5000001955
distance 0.19 · cross-district
#8 · Gondiacell 4760001637
distance 0.19 · cross-district
#9 · Nagpurcell 4840004264
distance 0.192
#10 · Nagpurcell 4840002364
distance 0.194
#11 · Wardhacell 4980002966
distance 0.195 · cross-district
#12 · Nagpurcell 4840005717
distance 0.198
#13 · Nandedcell 4850009085
distance 0.199 · cross-district
#14 · Nagpurcell 4840000047
distance 0.201
#15 · Nagpurcell 4840003272
distance 0.201
#16 · Gondiacell 4760001636
distance 0.201 · cross-district
#17 · Nagpurcell 4840002911
distance 0.204
#18 · Amravaticell 4680000330
distance 0.204 · 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":484,"cluster_id":4840002621}}}'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.