Bhārata Strata · Maharashtra · Ahmednagar · morphological twins
Places like cell 4660004151
The MH-36 locality cells most similar to this Ahmednagar 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.202
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660005196
distance 0.202
#2 · Ahmednagarcell 4660004717
distance 0.22
#3 · Ahmednagarcell 4660004551
distance 0.23
#4 · Ahmednagarcell 4660004300
distance 0.292
#5 · Ahmednagarcell 4660003490
distance 0.294
#6 · Ahmednagarcell 4660003903
distance 0.308
#7 · Ahmednagarcell 4660004632
distance 0.318
#8 · Ahmednagarcell 4660006867
distance 0.324
#9 · Ahmednagarcell 4660004223
distance 0.325
#10 · Punecell 4900009506
distance 0.326 · cross-district
#11 · Punecell 4900011553
distance 0.345 · cross-district
#12 · Punecell 4900011618
distance 0.348 · cross-district
#13 · Ahmednagarcell 4660003961
distance 0.355
#14 · Ahmednagarcell 4660006578
distance 0.356
#15 · Ahmednagarcell 4660004299
distance 0.358
#16 · Ahmednagarcell 4660004553
distance 0.36
#17 · Ahmednagarcell 4660007450
distance 0.36
#18 · Ahmednagarcell 4660003551
distance 0.364
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":466,"cluster_id":4660004151}}}'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.