Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870010855
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011232
distance 0.102
#2 · Nashikcell 4870011234
distance 0.166
#3 · Nashikcell 4870011353
distance 0.188
#4 · Nashikcell 4870011708
distance 0.188
#5 · Nashikcell 4870011350
distance 0.197
#6 · Dhulecell 4740000121
distance 0.198 · cross-district
#7 · Nashikcell 4870011934
distance 0.205
#8 · Dhulecell 4740000079
distance 0.205 · cross-district
#9 · Nashikcell 4870011112
distance 0.208
#10 · Nashikcell 4870011817
distance 0.208
#11 · Dhulecell 4740002911
distance 0.21 · cross-district
#12 · Dhulecell 4740000360
distance 0.211 · cross-district
#13 · Nashikcell 4870012050
distance 0.213
#14 · Nashikcell 4870011478
distance 0.216
#15 · Dhulecell 4740000423
distance 0.216 · cross-district
#16 · Dhulecell 4740000085
distance 0.218 · cross-district
#17 · Nashikcell 4870011580
distance 0.219
#18 · Nashikcell 4870013179
distance 0.219
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":4870010855}}}'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.