Bhārata Strata · Maharashtra · Sindhudurg · morphological twins
Places like cell 4950002821
The MH-36 locality cells most similar to this Sindhudurg 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
0.174
lower = more alike (weighted)
The twins, closest first
#1 · Sindhudurgcell 4950002716
distance 0.174
#2 · Sindhudurgcell 4950002768
distance 0.177
#3 · Sindhudurgcell 4950003855
distance 0.182
#4 · Sindhudurgcell 4950003018
distance 0.186
#5 · Sindhudurgcell 4950002671
distance 0.189
#6 · Sindhudurgcell 4950003905
distance 0.194
#7 · Sindhudurgcell 4950003309
distance 0.2
#8 · Sindhudurgcell 4950002922
distance 0.201
#9 · Sindhudurgcell 4950003211
distance 0.204
#10 · Sindhudurgcell 4950003157
distance 0.209
#11 · Ratnagiricell 4920000297
distance 0.21 · cross-district
#12 · Sindhudurgcell 4950003856
distance 0.213
#13 · Sindhudurgcell 4950002678
distance 0.216
#14 · Ratnagiricell 4920000071
distance 0.217 · cross-district
#15 · Sindhudurgcell 4950003911
distance 0.217
#16 · Sindhudurgcell 4950003257
distance 0.225
#17 · Sindhudurgcell 4950003358
distance 0.225
#18 · Sindhudurgcell 4950002369
distance 0.227
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":495,"cluster_id":4950002821}}}'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.