{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TAPJPFJAQI6Y5FBI6CTAAJZPE2","short_pith_number":"pith:TAPJPFJA","canonical_record":{"source":{"id":"2106.05763","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-10T14:10:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"0b62db32bbd4768c52f355601a425b59f749971f7a6b1bdb299197d734a4c689","abstract_canon_sha256":"ca6f5f7101d3354b491852542584eb7ec5f83ffc2e775af95604b02392bcbbf7"},"schema_version":"1.0"},"canonical_sha256":"981e979520823d8e9428f0a600272f269d6a1debb5a9d8954cca51e1e7c3f81a","source":{"kind":"arxiv","id":"2106.05763","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.05763","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"arxiv_version","alias_value":"2106.05763v3","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.05763","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"pith_short_12","alias_value":"TAPJPFJAQI6Y","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"pith_short_16","alias_value":"TAPJPFJAQI6Y5FBI","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"pith_short_8","alias_value":"TAPJPFJA","created_at":"2026-07-05T04:03:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TAPJPFJAQI6Y5FBI6CTAAJZPE2","target":"record","payload":{"canonical_record":{"source":{"id":"2106.05763","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-10T14:10:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"0b62db32bbd4768c52f355601a425b59f749971f7a6b1bdb299197d734a4c689","abstract_canon_sha256":"ca6f5f7101d3354b491852542584eb7ec5f83ffc2e775af95604b02392bcbbf7"},"schema_version":"1.0"},"canonical_sha256":"981e979520823d8e9428f0a600272f269d6a1debb5a9d8954cca51e1e7c3f81a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:03:36.721606Z","signature_b64":"pv8ODmbQ95mcaONqioZ9abZa1fP5odlJVpXK7jw0H0/mgxgCAOq/Cu3hi70QIo6hJ1jL0GvC4bm1Uq8dHmSpAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"981e979520823d8e9428f0a600272f269d6a1debb5a9d8954cca51e1e7c3f81a","last_reissued_at":"2026-07-05T04:03:36.721116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:03:36.721116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.05763","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:03:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AcKvflPDqVSvuS4NzcaqaDIIB5I5vAo03pjmqgLsmZtQwrCDxwWNlrBvpkX5s6VImHbrnebJsDGnooI5/MWWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T06:01:43.810362Z"},"content_sha256":"bb46f50061c3974d482e9c79aee8ff52f4479bd44d5f31a65de7ec6dd53b4e5a","schema_version":"1.0","event_id":"sha256:bb46f50061c3974d482e9c79aee8ff52f4479bd44d5f31a65de7ec6dd53b4e5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TAPJPFJAQI6Y5FBI6CTAAJZPE2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deep Variational Approach to Clustering Survival Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alexander Sauter, Bram Stieltjes, Flavio Vasella, Julia E. Vogt, Laura Manduchi, Marc Pfister, Marian C. Neidert, Michela C. Massi, Ri\\v{c}ards Marcinkevi\\v{c}s, Thomas Weikert, Timothy M\\\"uller, Verena Gotta","submitted_at":"2021-06-10T14:10:25Z","abstract_excerpt":"In this work, we study the problem of clustering survival data $-$ a challenging and so far under-explored task. We introduce a novel semi-supervised probabilistic approach to cluster survival data by leveraging recent advances in stochastic gradient variational inference. In contrast to previous work, our proposed method employs a deep generative model to uncover the underlying distribution of both the explanatory variables and censored survival times. We compare our model to the related work on clustering and mixture models for survival data in comprehensive experiments on a wide range of sy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.05763","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2106.05763/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T04:03:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LCkLRNoHtZwIhI5oQ6ugw3P4IBGT+8t5wG9NGO5JWfmzA5SYOz8C7i9F51TnhJg1tnJoo8aLHLQzqeOMguaJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T06:01:43.810743Z"},"content_sha256":"a1b7f33303f82d99ed3e29d4015e4455825a8c02c89fd271d5017c8ff713ace2","schema_version":"1.0","event_id":"sha256:a1b7f33303f82d99ed3e29d4015e4455825a8c02c89fd271d5017c8ff713ace2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2/bundle.json","state_url":"https://pith.science/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2/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":"2026-07-18T06:01:43Z","links":{"resolver":"https://pith.science/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2","bundle":"https://pith.science/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2/bundle.json","state":"https://pith.science/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TAPJPFJAQI6Y5FBI6CTAAJZPE2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TAPJPFJAQI6Y5FBI6CTAAJZPE2","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":"ca6f5f7101d3354b491852542584eb7ec5f83ffc2e775af95604b02392bcbbf7","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-10T14:10:25Z","title_canon_sha256":"0b62db32bbd4768c52f355601a425b59f749971f7a6b1bdb299197d734a4c689"},"schema_version":"1.0","source":{"id":"2106.05763","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.05763","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"arxiv_version","alias_value":"2106.05763v3","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.05763","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"pith_short_12","alias_value":"TAPJPFJAQI6Y","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"pith_short_16","alias_value":"TAPJPFJAQI6Y5FBI","created_at":"2026-07-05T04:03:36Z"},{"alias_kind":"pith_short_8","alias_value":"TAPJPFJA","created_at":"2026-07-05T04:03:36Z"}],"graph_snapshots":[{"event_id":"sha256:a1b7f33303f82d99ed3e29d4015e4455825a8c02c89fd271d5017c8ff713ace2","target":"graph","created_at":"2026-07-05T04:03:36Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.05763/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we study the problem of clustering survival data $-$ a challenging and so far under-explored task. We introduce a novel semi-supervised probabilistic approach to cluster survival data by leveraging recent advances in stochastic gradient variational inference. In contrast to previous work, our proposed method employs a deep generative model to uncover the underlying distribution of both the explanatory variables and censored survival times. We compare our model to the related work on clustering and mixture models for survival data in comprehensive experiments on a wide range of sy","authors_text":"Alexander Sauter, Bram Stieltjes, Flavio Vasella, Julia E. Vogt, Laura Manduchi, Marc Pfister, Marian C. Neidert, Michela C. Massi, Ri\\v{c}ards Marcinkevi\\v{c}s, Thomas Weikert, Timothy M\\\"uller, Verena Gotta","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-10T14:10:25Z","title":"A Deep Variational Approach to Clustering Survival Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.05763","kind":"arxiv","version":3},"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:bb46f50061c3974d482e9c79aee8ff52f4479bd44d5f31a65de7ec6dd53b4e5a","target":"record","created_at":"2026-07-05T04:03:36Z","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":"ca6f5f7101d3354b491852542584eb7ec5f83ffc2e775af95604b02392bcbbf7","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-10T14:10:25Z","title_canon_sha256":"0b62db32bbd4768c52f355601a425b59f749971f7a6b1bdb299197d734a4c689"},"schema_version":"1.0","source":{"id":"2106.05763","kind":"arxiv","version":3}},"canonical_sha256":"981e979520823d8e9428f0a600272f269d6a1debb5a9d8954cca51e1e7c3f81a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"981e979520823d8e9428f0a600272f269d6a1debb5a9d8954cca51e1e7c3f81a","first_computed_at":"2026-07-05T04:03:36.721116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:03:36.721116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pv8ODmbQ95mcaONqioZ9abZa1fP5odlJVpXK7jw0H0/mgxgCAOq/Cu3hi70QIo6hJ1jL0GvC4bm1Uq8dHmSpAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:03:36.721606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.05763","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb46f50061c3974d482e9c79aee8ff52f4479bd44d5f31a65de7ec6dd53b4e5a","sha256:a1b7f33303f82d99ed3e29d4015e4455825a8c02c89fd271d5017c8ff713ace2"],"state_sha256":"12025938d1c00021b929f1412d0dced02c7082c8a3268baa49bb34c64dacd987"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5wvsHNtNPV2Y20nRMNeK8ct+cA0cRUgZJi3DsNY2wZMJ0O5RnpTWuVmt4amuLQfhyQR2Gm1LhcGPwPSXXycCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T06:01:43.812794Z","bundle_sha256":"f210678138e9b71002855322a72aac16130749740392e4fed2546ee3b7aaff16"}}