Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001860
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.175
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002273
distance 0.175
#2 · Dhulecell 4740003307
distance 0.2
#3 · Dhulecell 4740002495
distance 0.211
#4 · Beedcell 4700005097
distance 0.211 · cross-district
#5 · Dhulecell 4740001961
distance 0.218
#6 · Beedcell 4700003306
distance 0.22 · cross-district
#7 · Beedcell 4700005844
distance 0.222 · cross-district
#8 · Dhulecell 4740001765
distance 0.224
#9 · Beedcell 4700005094
distance 0.233 · cross-district
#10 · Ahmednagarcell 4660000141
distance 0.233 · cross-district
#11 · Beedcell 4700005090
distance 0.237 · cross-district
#12 · Dhulecell 4740001754
distance 0.24
#13 · Dhulecell 4740001233
distance 0.242
#14 · Dhulecell 4740003237
distance 0.247
#15 · Dhulecell 4740001861
distance 0.247
#16 · Dhulecell 4740002068
distance 0.248
#17 · Nashikcell 4870012497
distance 0.249 · cross-district
#18 · Beedcell 4700005105
distance 0.25 · 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":4740001860}}}'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.