Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001685
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
45
morphology-v2 feature dimensions
Closest twin distance
0.177
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970001447
distance 0.177
#2 · Thanecell 4970000853
distance 0.194
#3 · Thanecell 4970001852
distance 0.227
#4 · Thanecell 4970001012
distance 0.232
#5 · Thanecell 4970001100
distance 0.237
#6 · Thanecell 4970001102
distance 0.258
#7 · Punecell 4900013187
distance 0.272 · cross-district
#8 · Thanecell 4970001854
distance 0.279
#9 · Thanecell 4970001764
distance 0.281
#10 · Punecell 4900012799
distance 0.289 · cross-district
#11 · Punecell 4900012866
distance 0.294 · cross-district
#12 · Thanecell 4970001101
distance 0.312
#13 · Punecell 4900013010
distance 0.317 · cross-district
#14 · Punecell 4900012802
distance 0.322 · cross-district
#15 · Thanecell 4970001770
distance 0.334
#16 · Punecell 4900013155
distance 0.334 · cross-district
#17 · Punecell 4900012982
distance 0.336 · cross-district
#18 · Punecell 4900013021
distance 0.34 · 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":4970001685}}}'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.