Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000995
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
0.275
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001100
distance 0.275
#2 · Dhulecell 4740000892
distance 0.276
#3 · Dhulecell 4740002042
distance 0.281
#4 · Dhulecell 4740002151
distance 0.291
#5 · Dhulecell 4740001099
distance 0.292
#6 · Dhulecell 4740001114
distance 0.293
#7 · Dhulecell 4740002940
distance 0.307
#8 · Nandurbarcell 4860000016
distance 0.31 · cross-district
#9 · Nandurbarcell 4860000147
distance 0.316 · cross-district
#10 · Nashikcell 4870011873
distance 0.317 · cross-district
#11 · Dhulecell 4740001531
distance 0.318
#12 · Dhulecell 4740000795
distance 0.323
#13 · Nashikcell 4870004809
distance 0.324 · cross-district
#14 · Dhulecell 4740000788
distance 0.326
#15 · Nashikcell 4870011649
distance 0.332 · cross-district
#16 · Nashikcell 4870012466
distance 0.336 · cross-district
#17 · Dhulecell 4740000904
distance 0.336
#18 · Nashikcell 4870005972
distance 0.337 · 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":4740000995}}}'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.