{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IR7HPO7RLLBZ3T42MRDSYRM74D","short_pith_number":"pith:IR7HPO7R","canonical_record":{"source":{"id":"2409.06618","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T16:15:01Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e71414d785e94a3cc9e54d2cb7d2eaaad0115570b3bac43369d5f8220b7d05c1","abstract_canon_sha256":"d031c7d6e86cd7e2640526d2ce9d7fc672c0410d4be52635f55586857233afb2"},"schema_version":"1.0"},"canonical_sha256":"447e77bbf15ac39dcf9a64472c459fe0f37b46377016f121e31f6d8fa0567c4f","source":{"kind":"arxiv","id":"2409.06618","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.06618","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2409.06618v1","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.06618","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"IR7HPO7RLLBZ","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"IR7HPO7RLLBZ3T42","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"IR7HPO7R","created_at":"2026-07-05T09:05:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IR7HPO7RLLBZ3T42MRDSYRM74D","target":"record","payload":{"canonical_record":{"source":{"id":"2409.06618","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T16:15:01Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e71414d785e94a3cc9e54d2cb7d2eaaad0115570b3bac43369d5f8220b7d05c1","abstract_canon_sha256":"d031c7d6e86cd7e2640526d2ce9d7fc672c0410d4be52635f55586857233afb2"},"schema_version":"1.0"},"canonical_sha256":"447e77bbf15ac39dcf9a64472c459fe0f37b46377016f121e31f6d8fa0567c4f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:05:27.179164Z","signature_b64":"v6n67TfTYTOKibPFVJHWNdomgGr34JqjLTv2RfOEBG8GNbvuNBSb2CUhxk4clmsmJmSbTRRu1A1YQSXUwHEtDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"447e77bbf15ac39dcf9a64472c459fe0f37b46377016f121e31f6d8fa0567c4f","last_reissued_at":"2026-07-05T09:05:27.178763Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:05:27.178763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.06618","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":"2026-07-05T09:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F6K0xgujMejYzAGtc5l/akDg/mkE0iwGkRZy5vhBloE3p8OlUjzciQSjglC82GBJN8Bbqw+qD9R6xKhQOI5ADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T13:17:55.645893Z"},"content_sha256":"4a420aa44098ff1b1126504e63a07bce05f39c9828118427d059228b9bb2a3a3","schema_version":"1.0","event_id":"sha256:4a420aa44098ff1b1126504e63a07bce05f39c9828118427d059228b9bb2a3a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IR7HPO7RLLBZ3T42MRDSYRM74D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Benjamin Misiuk, Craig J. Brown, Isaac Xu, Martin Gillis, Scott C. Lowe, Thomas Trappenberg","submitted_at":"2024-09-10T16:15:01Z","abstract_excerpt":"In this work, we apply state-of-the-art self-supervised learning techniques on a large dataset of seafloor imagery, \\textit{BenthicNet}, and study their performance for a complex hierarchical multi-label (HML) classification downstream task. In particular, we demonstrate the capacity to conduct HML training in scenarios where there exist multiple levels of missing annotation information, an important scenario for handling heterogeneous real-world data collected by multiple research groups with differing data collection protocols. We find that, when using smaller one-hot image label datasets ty"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.06618","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.06618/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":"2026-07-05T09:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8gPIWOeQHLt0nUrqevF3gWi7IZyjaX0i6Tv0b+NqFSvhBCBo9ZFe3q5w1B+L3nZpFkXZOWOpZRYb/TN+RUXfBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T13:17:55.646286Z"},"content_sha256":"c4ab6818d39d4b0190c955134aaa223bb27cb33e289b64457013ce2af38cc290","schema_version":"1.0","event_id":"sha256:c4ab6818d39d4b0190c955134aaa223bb27cb33e289b64457013ce2af38cc290"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IR7HPO7RLLBZ3T42MRDSYRM74D/bundle.json","state_url":"https://pith.science/pith/IR7HPO7RLLBZ3T42MRDSYRM74D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IR7HPO7RLLBZ3T42MRDSYRM74D/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":"2026-07-22T13:17:55Z","links":{"resolver":"https://pith.science/pith/IR7HPO7RLLBZ3T42MRDSYRM74D","bundle":"https://pith.science/pith/IR7HPO7RLLBZ3T42MRDSYRM74D/bundle.json","state":"https://pith.science/pith/IR7HPO7RLLBZ3T42MRDSYRM74D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IR7HPO7RLLBZ3T42MRDSYRM74D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IR7HPO7RLLBZ3T42MRDSYRM74D","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":"d031c7d6e86cd7e2640526d2ce9d7fc672c0410d4be52635f55586857233afb2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T16:15:01Z","title_canon_sha256":"e71414d785e94a3cc9e54d2cb7d2eaaad0115570b3bac43369d5f8220b7d05c1"},"schema_version":"1.0","source":{"id":"2409.06618","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.06618","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2409.06618v1","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.06618","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"IR7HPO7RLLBZ","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"IR7HPO7RLLBZ3T42","created_at":"2026-07-05T09:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"IR7HPO7R","created_at":"2026-07-05T09:05:27Z"}],"graph_snapshots":[{"event_id":"sha256:c4ab6818d39d4b0190c955134aaa223bb27cb33e289b64457013ce2af38cc290","target":"graph","created_at":"2026-07-05T09:05:27Z","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/2409.06618/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we apply state-of-the-art self-supervised learning techniques on a large dataset of seafloor imagery, \\textit{BenthicNet}, and study their performance for a complex hierarchical multi-label (HML) classification downstream task. In particular, we demonstrate the capacity to conduct HML training in scenarios where there exist multiple levels of missing annotation information, an important scenario for handling heterogeneous real-world data collected by multiple research groups with differing data collection protocols. We find that, when using smaller one-hot image label datasets ty","authors_text":"Benjamin Misiuk, Craig J. Brown, Isaac Xu, Martin Gillis, Scott C. Lowe, Thomas Trappenberg","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T16:15:01Z","title":"Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.06618","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":"sha256:4a420aa44098ff1b1126504e63a07bce05f39c9828118427d059228b9bb2a3a3","target":"record","created_at":"2026-07-05T09:05:27Z","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":"d031c7d6e86cd7e2640526d2ce9d7fc672c0410d4be52635f55586857233afb2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T16:15:01Z","title_canon_sha256":"e71414d785e94a3cc9e54d2cb7d2eaaad0115570b3bac43369d5f8220b7d05c1"},"schema_version":"1.0","source":{"id":"2409.06618","kind":"arxiv","version":1}},"canonical_sha256":"447e77bbf15ac39dcf9a64472c459fe0f37b46377016f121e31f6d8fa0567c4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"447e77bbf15ac39dcf9a64472c459fe0f37b46377016f121e31f6d8fa0567c4f","first_computed_at":"2026-07-05T09:05:27.178763Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:27.178763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v6n67TfTYTOKibPFVJHWNdomgGr34JqjLTv2RfOEBG8GNbvuNBSb2CUhxk4clmsmJmSbTRRu1A1YQSXUwHEtDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:27.179164Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.06618","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a420aa44098ff1b1126504e63a07bce05f39c9828118427d059228b9bb2a3a3","sha256:c4ab6818d39d4b0190c955134aaa223bb27cb33e289b64457013ce2af38cc290"],"state_sha256":"87b4b72c2d586140b31d1633d10ca5e386729e3438e4bc9a916277629640c02a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6kO5y2W4KRkIsg+NG509aNDhpAYDckPLq3a7DGhfL4aiqhofDfs2+TSh5sjjTYvhU+Y8mjJdD9UFpjMBOM2QAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-22T13:17:55.648412Z","bundle_sha256":"89c5e10332709c31e14e94f7b3c0da793a2f2b94ccb6db10bf8e6198603ad6a4"}}