Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001036
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 6 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.365
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000802
distance 0.365
#2 · Thanecell 4970000790
distance 0.393
#3 · Thanecell 4970000959
distance 0.489
#4 · Mumbai Suburbancell 4830000167
distance 0.539 · cross-district
#5 · Thanecell 4970000444
distance 0.566
#6 · Thanecell 4970000877
distance 0.628
#7 · Palgharcell 6650000001
distance 0.635 · cross-district
#8 · Thanecell 4970000162
distance 0.684
#9 · Thanecell 4970000577
distance 0.691
#10 · Thanecell 4970000791
distance 0.695
#11 · Punecell 4900006706
distance 0.716 · cross-district
#12 · Thanecell 4970000454
distance 0.728
#13 · Thanecell 4970000511
distance 0.731
#14 · Thanecell 4970001137
distance 0.736
#15 · Nagpurcell 4840003864
distance 0.738 · cross-district
#16 · Sataracell 4940000831
distance 0.747 · cross-district
#17 · Sataracell 4940000833
distance 0.748 · cross-district
#18 · Thanecell 4970000519
distance 0.755
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":4970001036}}}'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.