Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970002552
The MH-36 locality cells most similar to this Thane 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
44
morphology-v2 feature dimensions
Closest twin distance
0.1
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970002619
distance 0.1
#2 · Palgharcell 6650000256
distance 0.185 · cross-district
#3 · Palgharcell 6650000230
distance 0.191 · cross-district
#4 · Thanecell 4970002339
distance 0.204
#5 · Thanecell 4970002483
distance 0.216
#6 · Thanecell 4970002412
distance 0.216
#7 · Palgharcell 6650000510
distance 0.219 · cross-district
#8 · Thanecell 4970002267
distance 0.221
#9 · Thanecell 4970002481
distance 0.222
#10 · Thanecell 4970002340
distance 0.223
#11 · Palgharcell 6650000304
distance 0.228 · cross-district
#12 · Palgharcell 6650000205
distance 0.229 · cross-district
#13 · Palgharcell 6650000175
distance 0.234 · cross-district
#14 · Thanecell 4970002484
distance 0.24
#15 · Thanecell 4970002411
distance 0.245
#16 · Thanecell 4970002268
distance 0.248
#17 · Thanecell 4970002553
distance 0.249
#18 · Palgharcell 6650000332
distance 0.249 · 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":497,"cluster_id":4970002552}}}'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.