Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740002295
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.212
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002510
distance 0.212
#2 · Nashikcell 4870005771
distance 0.223 · cross-district
#3 · Dhulecell 4740002797
distance 0.231
#4 · Dhulecell 4740001568
distance 0.254
#5 · Yavatmalcell 5000002799
distance 0.257 · cross-district
#6 · Beedcell 4700005812
distance 0.261 · cross-district
#7 · Dhulecell 4740002405
distance 0.262
#8 · Nashikcell 4870006215
distance 0.263 · cross-district
#9 · Dharashivcell 4880004684
distance 0.267 · cross-district
#10 · Dhulecell 4740002079
distance 0.267
#11 · Dhulecell 4740001055
distance 0.272
#12 · Dhulecell 4740000275
distance 0.277
#13 · Nashikcell 4870006359
distance 0.28 · cross-district
#14 · Dhulecell 4740002514
distance 0.282
#15 · Dharashivcell 4880005640
distance 0.284 · cross-district
#16 · Dhulecell 4740003045
distance 0.287
#17 · Dhulecell 4740000671
distance 0.287
#18 · Dhulecell 4740000037
distance 0.287
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":4740002295}}}'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.