Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003422
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
0.161
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970003486
distance 0.161
#2 · Thanecell 4970003421
distance 0.168
#3 · Thanecell 4970003364
distance 0.176
#4 · Thanecell 4970003450
distance 0.183
#5 · Thanecell 4970003451
distance 0.187
#6 · Thanecell 4970002603
distance 0.21
#7 · Thanecell 4970003479
distance 0.216
#8 · Thanecell 4970002828
distance 0.233
#9 · Palgharcell 6650002340
distance 0.233 · cross-district
#10 · Palgharcell 6650002180
distance 0.241 · cross-district
#11 · Palgharcell 6650002275
distance 0.246 · cross-district
#12 · Thanecell 4970003397
distance 0.246
#13 · Raigadcell 4910003770
distance 0.246 · cross-district
#14 · Palgharcell 6650002262
distance 0.249 · cross-district
#15 · Thanecell 4970003449
distance 0.25
#16 · Palgharcell 6650002488
distance 0.251 · cross-district
#17 · Thanecell 4970002304
distance 0.252
#18 · Palgharcell 6650001087
distance 0.252 · 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":4970003422}}}'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.