Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740002128
The MH-36 locality cells most similar to this Dhule 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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.334
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001923
distance 0.334
#2 · Nandurbarcell 4860000110
distance 0.334 · cross-district
#3 · Dhulecell 4740001823
distance 0.339
#4 · Dhulecell 4740002028
distance 0.348
#5 · Dhulecell 4740002030
distance 0.349
#6 · Nashikcell 4870012914
distance 0.356 · cross-district
#7 · Dhulecell 4740001517
distance 0.358
#8 · Dhulecell 4740002134
distance 0.36
#9 · Dhulecell 4740002031
distance 0.363
#10 · Dhulecell 4740001722
distance 0.367
#11 · Dhulecell 4740000791
distance 0.376
#12 · Dhulecell 4740002133
distance 0.377
#13 · Nashikcell 4870012093
distance 0.388 · cross-district
#14 · Dharashivcell 4880004874
distance 0.389 · cross-district
#15 · Nashikcell 4870013059
distance 0.389 · cross-district
#16 · Dhulecell 4740002700
distance 0.392
#17 · Nashikcell 4870001506
distance 0.4 · cross-district
#18 · Nashikcell 4870013129
distance 0.405 · 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":474,"cluster_id":4740002128}}}'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.