Bhārata Strata · Maharashtra · Chandrapur · morphological twins
Places like cell 4730004475
The MH-36 locality cells most similar to this Chandrapur 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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.218
lower = more alike (weighted)
The twins, closest first
#1 · Chandrapurcell 4730004477
distance 0.218
#2 · Chandrapurcell 4730008683
distance 0.225
#3 · Chandrapurcell 4730005058
distance 0.236
#4 · Chandrapurcell 4730006352
distance 0.246
#5 · Chandrapurcell 4730007916
distance 0.252
#6 · Chandrapurcell 4730008421
distance 0.257
#7 · Chandrapurcell 4730007130
distance 0.257
#8 · Chandrapurcell 4730004866
distance 0.26
#9 · Chandrapurcell 4730008079
distance 0.262
#10 · Chandrapurcell 4730004121
distance 0.267
#11 · Chandrapurcell 4730007978
distance 0.269
#12 · Chandrapurcell 4730004586
distance 0.269
#13 · Gadchirolicell 4750009737
distance 0.273 · cross-district
#14 · Chandrapurcell 4730005150
distance 0.274
#15 · Chandrapurcell 4730006215
distance 0.274
#16 · Gadchirolicell 4750010188
distance 0.276 · cross-district
#17 · Chandrapurcell 4730007806
distance 0.28
#18 · Chandrapurcell 4730007772
distance 0.28
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":473,"cluster_id":4730004475}}}'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.