Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000960
The MH-36 locality cells most similar to this Pune 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.397
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900006401
distance 0.397
#2 · Punecell 4900000412
distance 0.398
#3 · Punecell 4900006523
distance 0.432
#4 · Solapurcell 4960007609
distance 0.437 · cross-district
#5 · Punecell 4900000192
distance 0.442
#6 · Nashikcell 4870006000
distance 0.448 · cross-district
#7 · Punecell 4900006765
distance 0.455
#8 · Nashikcell 4870011577
distance 0.455 · cross-district
#9 · Punecell 4900003719
distance 0.456
#10 · Ahmednagarcell 4660012225
distance 0.457 · cross-district
#11 · Nashikcell 4870005406
distance 0.461 · cross-district
#12 · Nashikcell 4870012021
distance 0.463 · cross-district
#13 · Punecell 4900000893
distance 0.465
#14 · Punecell 4900005013
distance 0.467
#15 · Punecell 4900000574
distance 0.47
#16 · Punecell 4900000064
distance 0.473
#17 · Nashikcell 4870003037
distance 0.473 · cross-district
#18 · Nashikcell 4870001314
distance 0.479 · cross-district
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":490,"cluster_id":4900000960}}}'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.