Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003509
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.142
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970003439
distance 0.142
#2 · Palgharcell 6650001795
distance 0.152 · cross-district
#3 · Thanecell 4970003552
distance 0.155
#4 · Palgharcell 6650001421
distance 0.155 · cross-district
#5 · Thanecell 4970002994
distance 0.159
#6 · Thanecell 4970003387
distance 0.159
#7 · Thanecell 4970003438
distance 0.168
#8 · Raigadcell 4910004974
distance 0.171 · cross-district
#9 · Thanecell 4970003525
distance 0.174
#10 · Thanecell 4970003526
distance 0.175
#11 · Palgharcell 6650001489
distance 0.176 · cross-district
#12 · Palgharcell 6650001957
distance 0.178 · cross-district
#13 · Raigadcell 4910005176
distance 0.18 · cross-district
#14 · Palgharcell 6650001488
distance 0.18 · cross-district
#15 · Thanecell 4970002718
distance 0.182
#16 · Thanecell 4970003437
distance 0.183
#17 · Thanecell 4970003409
distance 0.183
#18 · Thanecell 4970003548
distance 0.186
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":4970003509}}}'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.