Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970002624
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
0.178
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970002121
distance 0.178
#2 · Thanecell 4970002272
distance 0.209
#3 · Palgharcell 6650000402
distance 0.21 · cross-district
#4 · Palgharcell 6650000996
distance 0.212 · cross-district
#5 · Thanecell 4970002490
distance 0.215
#6 · Thanecell 4970002276
distance 0.223
#7 · Thanecell 4970002347
distance 0.233
#8 · Thanecell 4970002625
distance 0.242
#9 · Palgharcell 6650000947
distance 0.249 · cross-district
#10 · Thanecell 4970002277
distance 0.25
#11 · Palgharcell 6650000438
distance 0.253 · cross-district
#12 · Thanecell 4970002273
distance 0.259
#13 · Palgharcell 6650000403
distance 0.26 · cross-district
#14 · Thanecell 4970002201
distance 0.262
#15 · Palgharcell 6650000945
distance 0.268 · cross-district
#16 · Palgharcell 6650000992
distance 0.273 · cross-district
#17 · Thanecell 4970002275
distance 0.276
#18 · Thanecell 4970002125
distance 0.276
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":4970002624}}}'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.