Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900002841
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.401
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900003381
distance 0.401
#2 · Punecell 4900006332
distance 0.405
#3 · Punecell 4900003930
distance 0.41
#4 · Sataracell 4940006235
distance 0.435 · cross-district
#5 · Bhandaracell 4710003456
distance 0.459 · cross-district
#6 · Sataracell 4940006671
distance 0.46 · cross-district
#7 · Ratnagiricell 4920005435
distance 0.469 · cross-district
#8 · Punecell 4900004094
distance 0.475
#9 · Punecell 4900002840
distance 0.486
#10 · Thanecell 4970002978
distance 0.494 · cross-district
#11 · Nashikcell 4870006380
distance 0.503 · cross-district
#12 · Sataracell 4940004942
distance 0.507 · cross-district
#13 · Sataracell 4940005564
distance 0.51 · cross-district
#14 · Punecell 4900003268
distance 0.519
#15 · Punecell 4900001922
distance 0.523
#16 · Punecell 4900000540
distance 0.526
#17 · Punecell 4900007528
distance 0.526
#18 · Punecell 4900003934
distance 0.532
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":4900002841}}}'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.