{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:M3DMHCKEGZO7EROL52L3JNYVKM","short_pith_number":"pith:M3DMHCKE","canonical_record":{"source":{"id":"1703.03401","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-03-09T18:58:26Z","cross_cats_sorted":[],"title_canon_sha256":"d5bc9bd33928691694f1164b43923db5fb05901e97935bc272b10d7b09f98dbc","abstract_canon_sha256":"5dc45ba1d0e791e316d0da17952622df0309c5d06d5b201e04a08f52cc95fbe2"},"schema_version":"1.0"},"canonical_sha256":"66c6c38944365df245cbee97b4b7155326bfdd5324559a1df3acb61de0cc6c9d","source":{"kind":"arxiv","id":"1703.03401","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03401","created_at":"2026-05-18T00:49:00Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03401v1","created_at":"2026-05-18T00:49:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03401","created_at":"2026-05-18T00:49:00Z"},{"alias_kind":"pith_short_12","alias_value":"M3DMHCKEGZO7","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"M3DMHCKEGZO7EROL","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"M3DMHCKE","created_at":"2026-05-18T12:31:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:M3DMHCKEGZO7EROL52L3JNYVKM","target":"record","payload":{"canonical_record":{"source":{"id":"1703.03401","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-03-09T18:58:26Z","cross_cats_sorted":[],"title_canon_sha256":"d5bc9bd33928691694f1164b43923db5fb05901e97935bc272b10d7b09f98dbc","abstract_canon_sha256":"5dc45ba1d0e791e316d0da17952622df0309c5d06d5b201e04a08f52cc95fbe2"},"schema_version":"1.0"},"canonical_sha256":"66c6c38944365df245cbee97b4b7155326bfdd5324559a1df3acb61de0cc6c9d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:00.498128Z","signature_b64":"Y0Oxz5wAB2lkaS68NNhlUAR7ZmpoHO6pndmM4jTwtWF03Jf1Ag/+bFBCT3BihUt/u+2h5kiyp2mGiQeO0FkeBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66c6c38944365df245cbee97b4b7155326bfdd5324559a1df3acb61de0cc6c9d","last_reissued_at":"2026-05-18T00:49:00.497493Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:00.497493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.03401","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":"2026-05-18T00:49:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AT6Rla7QDwcbDHvKy4qmoyDr5XbIzUY5hGSHonmDvRCpRtyEaU8ecXiLo5OGWnxVJWcegCWiEjTQf46uHKO0Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:54:23.519229Z"},"content_sha256":"ee2ea0eaeb951baf8907775c15389985f98d2e070901661cee6281c4e21ebd78","schema_version":"1.0","event_id":"sha256:ee2ea0eaeb951baf8907775c15389985f98d2e070901661cee6281c4e21ebd78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:M3DMHCKEGZO7EROL52L3JNYVKM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Identifying User Survival Types via Clustering of Censored Social Network Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Abhishek Naik, Bruno Ribeiro, Jennifer Neville, S Chandra Mouli","submitted_at":"2017-03-09T18:58:26Z","abstract_excerpt":"The goal of cluster analysis in survival data is to identify clusters that are decidedly associated with the survival outcome. Previous research has explored this problem primarily in the medical domain with relatively small datasets, but the need for such a clustering methodology could arise in other domains with large datasets, such as social networks. Concretely, we wish to identify different survival classes in a social network by clustering the users based on their lifespan in the network. In this paper, we propose a decision tree based algorithm that uses a global normalization of $p$-va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03401","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":"2026-05-18T00:49:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kwYFB7h03iURTUthh+rM8p16BLuRXKfPbig7HnsdSA0HAndSGV9j7CahGZYmi0+kn6Ze3vEMCK97fiVOz3p7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T16:54:23.519868Z"},"content_sha256":"d36931e854ef00f194e4dbd2bdb01f0018a122084e8b3afa4cf11e535ca75acb","schema_version":"1.0","event_id":"sha256:d36931e854ef00f194e4dbd2bdb01f0018a122084e8b3afa4cf11e535ca75acb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M3DMHCKEGZO7EROL52L3JNYVKM/bundle.json","state_url":"https://pith.science/pith/M3DMHCKEGZO7EROL52L3JNYVKM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M3DMHCKEGZO7EROL52L3JNYVKM/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":"2026-05-26T16:54:23Z","links":{"resolver":"https://pith.science/pith/M3DMHCKEGZO7EROL52L3JNYVKM","bundle":"https://pith.science/pith/M3DMHCKEGZO7EROL52L3JNYVKM/bundle.json","state":"https://pith.science/pith/M3DMHCKEGZO7EROL52L3JNYVKM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M3DMHCKEGZO7EROL52L3JNYVKM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:M3DMHCKEGZO7EROL52L3JNYVKM","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":"5dc45ba1d0e791e316d0da17952622df0309c5d06d5b201e04a08f52cc95fbe2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-03-09T18:58:26Z","title_canon_sha256":"d5bc9bd33928691694f1164b43923db5fb05901e97935bc272b10d7b09f98dbc"},"schema_version":"1.0","source":{"id":"1703.03401","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03401","created_at":"2026-05-18T00:49:00Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03401v1","created_at":"2026-05-18T00:49:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03401","created_at":"2026-05-18T00:49:00Z"},{"alias_kind":"pith_short_12","alias_value":"M3DMHCKEGZO7","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"M3DMHCKEGZO7EROL","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"M3DMHCKE","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:d36931e854ef00f194e4dbd2bdb01f0018a122084e8b3afa4cf11e535ca75acb","target":"graph","created_at":"2026-05-18T00:49:00Z","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":"The goal of cluster analysis in survival data is to identify clusters that are decidedly associated with the survival outcome. Previous research has explored this problem primarily in the medical domain with relatively small datasets, but the need for such a clustering methodology could arise in other domains with large datasets, such as social networks. Concretely, we wish to identify different survival classes in a social network by clustering the users based on their lifespan in the network. In this paper, we propose a decision tree based algorithm that uses a global normalization of $p$-va","authors_text":"Abhishek Naik, Bruno Ribeiro, Jennifer Neville, S Chandra Mouli","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-03-09T18:58:26Z","title":"Identifying User Survival Types via Clustering of Censored Social Network Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03401","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:ee2ea0eaeb951baf8907775c15389985f98d2e070901661cee6281c4e21ebd78","target":"record","created_at":"2026-05-18T00:49:00Z","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":"5dc45ba1d0e791e316d0da17952622df0309c5d06d5b201e04a08f52cc95fbe2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-03-09T18:58:26Z","title_canon_sha256":"d5bc9bd33928691694f1164b43923db5fb05901e97935bc272b10d7b09f98dbc"},"schema_version":"1.0","source":{"id":"1703.03401","kind":"arxiv","version":1}},"canonical_sha256":"66c6c38944365df245cbee97b4b7155326bfdd5324559a1df3acb61de0cc6c9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66c6c38944365df245cbee97b4b7155326bfdd5324559a1df3acb61de0cc6c9d","first_computed_at":"2026-05-18T00:49:00.497493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:00.497493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y0Oxz5wAB2lkaS68NNhlUAR7ZmpoHO6pndmM4jTwtWF03Jf1Ag/+bFBCT3BihUt/u+2h5kiyp2mGiQeO0FkeBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:00.498128Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.03401","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee2ea0eaeb951baf8907775c15389985f98d2e070901661cee6281c4e21ebd78","sha256:d36931e854ef00f194e4dbd2bdb01f0018a122084e8b3afa4cf11e535ca75acb"],"state_sha256":"90d78bb82e297931ff5f7e0462cd343874f81c5bee83480d49911c24720b7139"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GX8mH+Bs9kYbEFlBnKYyHkCjyu5XBPofs9ME1rvO4JJMsY0Rrq+mkizdkltjk7TWB3zoXwyJ42iRM/eENzliBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T16:54:23.522995Z","bundle_sha256":"8edfba9ef7a929fe1fb6bf5550ba51ec16d8c93a660fe35c181721d1a830417b"}}