Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700007360
The MH-36 locality cells most similar to this Beed 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
0.246
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700007542
distance 0.246
#2 · Dharashivcell 4880000887
distance 0.246 · cross-district
#3 · Wardhacell 4980005402
distance 0.246 · cross-district
#4 · Jalnacell 4790001725
distance 0.251 · cross-district
#5 · Beedcell 4700007363
distance 0.251
#6 · Beedcell 4700007358
distance 0.253
#7 · Beedcell 4700007543
distance 0.253
#8 · Wardhacell 4980003593
distance 0.261 · cross-district
#9 · Beedcell 4700007357
distance 0.261
#10 · Beedcell 4700007165
distance 0.267
#11 · Beedcell 4700007453
distance 0.27
#12 · Beedcell 4700007444
distance 0.276
#13 · Wardhacell 4980003592
distance 0.278 · cross-district
#14 · Wardhacell 4980003711
distance 0.28 · cross-district
#15 · Beedcell 4700007633
distance 0.281
#16 · Hingolicell 4770002741
distance 0.284 · cross-district
#17 · Beedcell 4700007364
distance 0.285
#18 · Beedcell 4700007539
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":470,"cluster_id":4700007360}}}'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.