{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:7NF4OUP6BP223X3ICCD2K4WIQM","short_pith_number":"pith:7NF4OUP6","canonical_record":{"source":{"id":"1305.4893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-05-21T17:24:57Z","cross_cats_sorted":[],"title_canon_sha256":"de371c0f21910d14b47a3203f0f955db0a67a6b892834629df67d1a500557045","abstract_canon_sha256":"a36ce0345c833263f85e0126bd331005ad23cf862d620ee0fab82f7cce05a6d7"},"schema_version":"1.0"},"canonical_sha256":"fb4bc751fe0bf5addf681087a572c8831b9175ff8ca8639179f3bd37b26a1c1d","source":{"kind":"arxiv","id":"1305.4893","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.4893","created_at":"2026-05-18T03:25:15Z"},{"alias_kind":"arxiv_version","alias_value":"1305.4893v1","created_at":"2026-05-18T03:25:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.4893","created_at":"2026-05-18T03:25:15Z"},{"alias_kind":"pith_short_12","alias_value":"7NF4OUP6BP22","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"7NF4OUP6BP223X3I","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"7NF4OUP6","created_at":"2026-05-18T12:27:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:7NF4OUP6BP223X3ICCD2K4WIQM","target":"record","payload":{"canonical_record":{"source":{"id":"1305.4893","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-05-21T17:24:57Z","cross_cats_sorted":[],"title_canon_sha256":"de371c0f21910d14b47a3203f0f955db0a67a6b892834629df67d1a500557045","abstract_canon_sha256":"a36ce0345c833263f85e0126bd331005ad23cf862d620ee0fab82f7cce05a6d7"},"schema_version":"1.0"},"canonical_sha256":"fb4bc751fe0bf5addf681087a572c8831b9175ff8ca8639179f3bd37b26a1c1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:25:15.023936Z","signature_b64":"WyV4oc17X0JTEw0ppFNPLp8sSSyc1YsUdcTek5CidHUYN/QD1y2SGl+OxoXprEEdZ0uyzyyeZjivxX37UXCaDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb4bc751fe0bf5addf681087a572c8831b9175ff8ca8639179f3bd37b26a1c1d","last_reissued_at":"2026-05-18T03:25:15.023486Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:25:15.023486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1305.4893","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:25:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3T1n2GbQGe15tXVM5VluVhEmfRpy+F8R6TipNiOzmzkVFyu2DNx2vsBI2AfL68AyGa6/Y3MlOPogdr68VJyqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T17:47:12.760061Z"},"content_sha256":"6eae3a584024490f319ad0a67c0ef0a2c4f2f58eeb460158a602061192226170","schema_version":"1.0","event_id":"sha256:6eae3a584024490f319ad0a67c0ef0a2c4f2f58eeb460158a602061192226170"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:7NF4OUP6BP223X3ICCD2K4WIQM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Out-of-sample Extension for Latent Position Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Carey E. Priebe, Minh Tang, Youngser Park","submitted_at":"2013-05-21T17:24:57Z","abstract_excerpt":"We consider the problem of vertex classification for graphs constructed from the latent position model. It was shown previously that the approach of embedding the graphs into some Euclidean space followed by classification in that space can yields a universally consistent vertex classifier. However, a major technical difficulty of the approach arises when classifying unlabeled out-of-sample vertices without including them in the embedding stage. In this paper, we studied the out-of-sample extension for the graph embedding step and its impact on the subsequent inference tasks. We show that, und"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.4893","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:25:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xWjzVpPhEwMILbTUYHX8/rY5ZbADAt74BZXzdLBpX0rR+7AwkL0NEftfl7FHgY+aNG2Vzy09UDs2D3Lu78HpAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T17:47:12.760419Z"},"content_sha256":"1c1d193d305931d47ad86673f90172cbf5eaf32136c9e0a4a66b9e99080c2639","schema_version":"1.0","event_id":"sha256:1c1d193d305931d47ad86673f90172cbf5eaf32136c9e0a4a66b9e99080c2639"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7NF4OUP6BP223X3ICCD2K4WIQM/bundle.json","state_url":"https://pith.science/pith/7NF4OUP6BP223X3ICCD2K4WIQM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7NF4OUP6BP223X3ICCD2K4WIQM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-03T17:47:12Z","links":{"resolver":"https://pith.science/pith/7NF4OUP6BP223X3ICCD2K4WIQM","bundle":"https://pith.science/pith/7NF4OUP6BP223X3ICCD2K4WIQM/bundle.json","state":"https://pith.science/pith/7NF4OUP6BP223X3ICCD2K4WIQM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7NF4OUP6BP223X3ICCD2K4WIQM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:7NF4OUP6BP223X3ICCD2K4WIQM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a36ce0345c833263f85e0126bd331005ad23cf862d620ee0fab82f7cce05a6d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-05-21T17:24:57Z","title_canon_sha256":"de371c0f21910d14b47a3203f0f955db0a67a6b892834629df67d1a500557045"},"schema_version":"1.0","source":{"id":"1305.4893","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.4893","created_at":"2026-05-18T03:25:15Z"},{"alias_kind":"arxiv_version","alias_value":"1305.4893v1","created_at":"2026-05-18T03:25:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.4893","created_at":"2026-05-18T03:25:15Z"},{"alias_kind":"pith_short_12","alias_value":"7NF4OUP6BP22","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_16","alias_value":"7NF4OUP6BP223X3I","created_at":"2026-05-18T12:27:36Z"},{"alias_kind":"pith_short_8","alias_value":"7NF4OUP6","created_at":"2026-05-18T12:27:36Z"}],"graph_snapshots":[{"event_id":"sha256:1c1d193d305931d47ad86673f90172cbf5eaf32136c9e0a4a66b9e99080c2639","target":"graph","created_at":"2026-05-18T03:25:15Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We consider the problem of vertex classification for graphs constructed from the latent position model. It was shown previously that the approach of embedding the graphs into some Euclidean space followed by classification in that space can yields a universally consistent vertex classifier. However, a major technical difficulty of the approach arises when classifying unlabeled out-of-sample vertices without including them in the embedding stage. In this paper, we studied the out-of-sample extension for the graph embedding step and its impact on the subsequent inference tasks. We show that, und","authors_text":"Carey E. Priebe, Minh Tang, Youngser Park","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-05-21T17:24:57Z","title":"Out-of-sample Extension for Latent Position Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.4893","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6eae3a584024490f319ad0a67c0ef0a2c4f2f58eeb460158a602061192226170","target":"record","created_at":"2026-05-18T03:25:15Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a36ce0345c833263f85e0126bd331005ad23cf862d620ee0fab82f7cce05a6d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-05-21T17:24:57Z","title_canon_sha256":"de371c0f21910d14b47a3203f0f955db0a67a6b892834629df67d1a500557045"},"schema_version":"1.0","source":{"id":"1305.4893","kind":"arxiv","version":1}},"canonical_sha256":"fb4bc751fe0bf5addf681087a572c8831b9175ff8ca8639179f3bd37b26a1c1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb4bc751fe0bf5addf681087a572c8831b9175ff8ca8639179f3bd37b26a1c1d","first_computed_at":"2026-05-18T03:25:15.023486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:25:15.023486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WyV4oc17X0JTEw0ppFNPLp8sSSyc1YsUdcTek5CidHUYN/QD1y2SGl+OxoXprEEdZ0uyzyyeZjivxX37UXCaDg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:25:15.023936Z","signed_message":"canonical_sha256_bytes"},"source_id":"1305.4893","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6eae3a584024490f319ad0a67c0ef0a2c4f2f58eeb460158a602061192226170","sha256:1c1d193d305931d47ad86673f90172cbf5eaf32136c9e0a4a66b9e99080c2639"],"state_sha256":"31e0d689989aceaaa3f18500a06fb805a7ef94ebd9a90c9167e3d91a629f5d2b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/cxPrNvyPpj9Giz9OBwQnG5b9mXpRWZlFidlrcT7li28fIG/YeiT7RgP9Uw/NM08UJGkWHRmwAOW5jM30eaEDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T17:47:12.764214Z","bundle_sha256":"d32e8c057ffd2b454896ee3428dbf85ebc7023f3c32b29834feef2a956ca6969"}}