Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002998
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.189
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870002287
distance 0.189
#2 · Nashikcell 4870001592
distance 0.189
#3 · Solapurcell 4960008957
distance 0.189 · cross-district
#4 · Nashikcell 4870001392
distance 0.195
#5 · Sataracell 4940004069
distance 0.198 · cross-district
#6 · Nashikcell 4870002112
distance 0.201
#7 · Nashikcell 4870002120
distance 0.203
#8 · Punecell 4900004156
distance 0.204 · cross-district
#9 · Punecell 4900003607
distance 0.206 · cross-district
#10 · Solapurcell 4960007274
distance 0.207 · cross-district
#11 · Nashikcell 4870001196
distance 0.209
#12 · Punecell 4900001839
distance 0.209 · cross-district
#13 · Nashikcell 4870002556
distance 0.21
#14 · Nashikcell 4870002281
distance 0.211
#15 · Nashikcell 4870001593
distance 0.212
#16 · Nashikcell 4870002540
distance 0.213
#17 · Punecell 4900004580
distance 0.213 · cross-district
#18 · Nashikcell 4870003823
distance 0.214
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":4870002998}}}'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.