Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001896
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.18
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002536
distance 0.18
#2 · Nashikcell 4870012154
distance 0.211 · cross-district
#3 · Dhulecell 4740001484
distance 0.217
#4 · Nashikcell 4870013105
distance 0.218 · cross-district
#5 · Dhulecell 4740001482
distance 0.225
#6 · Dhulecell 4740002830
distance 0.228
#7 · Dhulecell 4740000146
distance 0.245
#8 · Dhulecell 4740002900
distance 0.257
#9 · Dhulecell 4740001066
distance 0.286
#10 · Dhulecell 4740000612
distance 0.286
#11 · Jalgaoncell 4780000406
distance 0.289 · cross-district
#12 · Dhulecell 4740000293
distance 0.291
#13 · Jalgaoncell 4780001248
distance 0.292 · cross-district
#14 · Dhulecell 4740000755
distance 0.293
#15 · Jalgaoncell 4780000858
distance 0.294 · cross-district
#16 · Jalgaoncell 4780001030
distance 0.3 · cross-district
#17 · Dhulecell 4740001712
distance 0.302
#18 · Jalgaoncell 4780000853
distance 0.303 · 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":4740001896}}}'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.