Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000398
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.082
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012592
distance 0.082 · cross-district
#2 · Nashikcell 4870012512
distance 0.085 · cross-district
#3 · Nashikcell 4870012511
distance 0.096 · cross-district
#4 · Dhulecell 4740000437
distance 0.097
#5 · Dhulecell 4740000438
distance 0.1
#6 · Nashikcell 4870008236
distance 0.106 · cross-district
#7 · Dhulecell 4740002522
distance 0.119
#8 · Nashikcell 4870005908
distance 0.124 · cross-district
#9 · Nashikcell 4870012433
distance 0.126 · cross-district
#10 · Dhulecell 4740000341
distance 0.13
#11 · Dhulecell 4740000305
distance 0.136
#12 · Dhulecell 4740000304
distance 0.145
#13 · Dhulecell 4740000307
distance 0.151
#14 · Dhulecell 4740000342
distance 0.151
#15 · Nashikcell 4870013177
distance 0.152 · cross-district
#16 · Dhulecell 4740000366
distance 0.153
#17 · Dhulecell 4740000343
distance 0.153
#18 · Dhulecell 4740000367
distance 0.154
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":4740000398}}}'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.