Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001820
The MH-36 locality cells most similar to this Nashik 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.252
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001730
distance 0.252
#2 · Nashikcell 4870001636
distance 0.263
#3 · Nashikcell 4870001541
distance 0.269
#4 · Nashikcell 4870001729
distance 0.28
#5 · Nashikcell 4870001821
distance 0.282
#6 · Nashikcell 4870001997
distance 0.283
#7 · Nashikcell 4870001637
distance 0.286
#8 · Nashikcell 4870001540
distance 0.298
#9 · Nashikcell 4870001911
distance 0.31
#10 · Punecell 4900006995
distance 0.318 · cross-district
#11 · Nashikcell 4870001906
distance 0.321
#12 · Nandurbarcell 4860003133
distance 0.321 · cross-district
#13 · Ahmednagarcell 4660009813
distance 0.322 · cross-district
#14 · Nashikcell 4870001904
distance 0.333
#15 · Nashikcell 4870001905
distance 0.334
#16 · Nandurbarcell 4860002954
distance 0.336 · cross-district
#17 · Nandurbarcell 4860002948
distance 0.339 · cross-district
#18 · Sataracell 4940005830
distance 0.343 · 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":487,"cluster_id":4870001820}}}'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.