Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880001729
The MH-36 locality cells most similar to this Dharashiv 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 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.17
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880001217
distance 0.17
#2 · Dharashivcell 4880005773
distance 0.18
#3 · Laturcell 4810001468
distance 0.18 · cross-district
#4 · Dharashivcell 4880002596
distance 0.208
#5 · Dharashivcell 4880003010
distance 0.213
#6 · Dharashivcell 4880002906
distance 0.217
#7 · Laturcell 4810002605
distance 0.221 · cross-district
#8 · Beedcell 4700002055
distance 0.222 · cross-district
#9 · Dharashivcell 4880004924
distance 0.227
#10 · Dharashivcell 4880002420
distance 0.228
#11 · Dharashivcell 4880000457
distance 0.229
#12 · Dharashivcell 4880003342
distance 0.23
#13 · Beedcell 4700005414
distance 0.23 · cross-district
#14 · Dharashivcell 4880002063
distance 0.23
#15 · Dharashivcell 4880001508
distance 0.237
#16 · Laturcell 4810000402
distance 0.239 · cross-district
#17 · Dharashivcell 4880003511
distance 0.24
#18 · Dharashivcell 4880006014
distance 0.241
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":488,"cluster_id":4880001729}}}'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.