{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4GDJ4JOORGKTKKIN7JZHJCO4IW","short_pith_number":"pith:4GDJ4JOO","canonical_record":{"source":{"id":"2405.16093","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-25T06:54:43Z","cross_cats_sorted":[],"title_canon_sha256":"c57f223fad8c0d8b8ab30523dfa59ca8d05ab9a1f87f91bc6b4cacbe69d093bd","abstract_canon_sha256":"52843bb092860218e7aea5663e144bb826bf2d32f144da91cde50936cc4fec47"},"schema_version":"1.0"},"canonical_sha256":"e1869e25ce899535290dfa727489dc45aa1d9cae16d1ea57039c278a51ca0fec","source":{"kind":"arxiv","id":"2405.16093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16093","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16093v1","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16093","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"pith_short_12","alias_value":"4GDJ4JOORGKT","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"pith_short_16","alias_value":"4GDJ4JOORGKTKKIN","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"pith_short_8","alias_value":"4GDJ4JOO","created_at":"2026-07-05T08:23:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4GDJ4JOORGKTKKIN7JZHJCO4IW","target":"record","payload":{"canonical_record":{"source":{"id":"2405.16093","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-25T06:54:43Z","cross_cats_sorted":[],"title_canon_sha256":"c57f223fad8c0d8b8ab30523dfa59ca8d05ab9a1f87f91bc6b4cacbe69d093bd","abstract_canon_sha256":"52843bb092860218e7aea5663e144bb826bf2d32f144da91cde50936cc4fec47"},"schema_version":"1.0"},"canonical_sha256":"e1869e25ce899535290dfa727489dc45aa1d9cae16d1ea57039c278a51ca0fec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:25.769650Z","signature_b64":"Klne4D3We2N1SBmLFVZzI4JsOLYsaVCZmfxGFp5L9Qa0D3rX1JsbT5bsAHTHUUU1S7WrtIDnr0+Wucq4CwWmBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1869e25ce899535290dfa727489dc45aa1d9cae16d1ea57039c278a51ca0fec","last_reissued_at":"2026-07-05T08:23:25.769259Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:25.769259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.16093","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":"2026-07-05T08:23:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5nrAsf86ragLQk/NyZac7bYzeLtMeAYLjTLCaU+ZRB3NEGPecw3SPuAwoWZFpw6L8UQu1V1VN7L2jcjFrySRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:56:55.157379Z"},"content_sha256":"2e78d67728f9f313c6dc8788f8647350e1459c90796655b79b3863f6b1e5d58b","schema_version":"1.0","event_id":"sha256:2e78d67728f9f313c6dc8788f8647350e1459c90796655b79b3863f6b1e5d58b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4GDJ4JOORGKTKKIN7JZHJCO4IW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chunxiao Ren, Haoliang Sun, Qikai Wang, Rundong He, Xiaoshui Huang, Yilong Yin, Yongshun Gong","submitted_at":"2024-05-25T06:54:43Z","abstract_excerpt":"Semi-supervised learning can significantly boost model performance by leveraging unlabeled data, particularly when labeled data is scarce. However, real-world unlabeled data often contain unseen-class samples, which can hinder the classification of seen classes. To address this issue, mainstream safe SSL methods suggest detecting and discarding unseen-class samples from unlabeled data. Nevertheless, these methods typically employ a single-model strategy to simultaneously tackle both the classification of seen classes and the detection of unseen classes. Our research indicates that such an appr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16093","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/2405.16093/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":"2026-07-05T08:23:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8AJW1GXhhA/tOmx+GxSD7hJQK0UVgabw4a056cS++fO6piMV0jzEWAvXpdStmwNMsSAR/RYnflZjf4jMVIarDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:56:55.158849Z"},"content_sha256":"a0e155f26b3e9b86234f455dc5aa0848525757b115ad2aee2bde11f5b6a841c4","schema_version":"1.0","event_id":"sha256:a0e155f26b3e9b86234f455dc5aa0848525757b115ad2aee2bde11f5b6a841c4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW/bundle.json","state_url":"https://pith.science/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW/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":"2026-08-18T04:56:55Z","links":{"resolver":"https://pith.science/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW","bundle":"https://pith.science/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW/bundle.json","state":"https://pith.science/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4GDJ4JOORGKTKKIN7JZHJCO4IW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4GDJ4JOORGKTKKIN7JZHJCO4IW","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":"52843bb092860218e7aea5663e144bb826bf2d32f144da91cde50936cc4fec47","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-25T06:54:43Z","title_canon_sha256":"c57f223fad8c0d8b8ab30523dfa59ca8d05ab9a1f87f91bc6b4cacbe69d093bd"},"schema_version":"1.0","source":{"id":"2405.16093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16093","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16093v1","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16093","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"pith_short_12","alias_value":"4GDJ4JOORGKT","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"pith_short_16","alias_value":"4GDJ4JOORGKTKKIN","created_at":"2026-07-05T08:23:25Z"},{"alias_kind":"pith_short_8","alias_value":"4GDJ4JOO","created_at":"2026-07-05T08:23:25Z"}],"graph_snapshots":[{"event_id":"sha256:a0e155f26b3e9b86234f455dc5aa0848525757b115ad2aee2bde11f5b6a841c4","target":"graph","created_at":"2026-07-05T08:23:25Z","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/2405.16093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-supervised learning can significantly boost model performance by leveraging unlabeled data, particularly when labeled data is scarce. However, real-world unlabeled data often contain unseen-class samples, which can hinder the classification of seen classes. To address this issue, mainstream safe SSL methods suggest detecting and discarding unseen-class samples from unlabeled data. Nevertheless, these methods typically employ a single-model strategy to simultaneously tackle both the classification of seen classes and the detection of unseen classes. Our research indicates that such an appr","authors_text":"Chunxiao Ren, Haoliang Sun, Qikai Wang, Rundong He, Xiaoshui Huang, Yilong Yin, Yongshun Gong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-25T06:54:43Z","title":"Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16093","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":"sha256:2e78d67728f9f313c6dc8788f8647350e1459c90796655b79b3863f6b1e5d58b","target":"record","created_at":"2026-07-05T08:23:25Z","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":"52843bb092860218e7aea5663e144bb826bf2d32f144da91cde50936cc4fec47","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-25T06:54:43Z","title_canon_sha256":"c57f223fad8c0d8b8ab30523dfa59ca8d05ab9a1f87f91bc6b4cacbe69d093bd"},"schema_version":"1.0","source":{"id":"2405.16093","kind":"arxiv","version":1}},"canonical_sha256":"e1869e25ce899535290dfa727489dc45aa1d9cae16d1ea57039c278a51ca0fec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1869e25ce899535290dfa727489dc45aa1d9cae16d1ea57039c278a51ca0fec","first_computed_at":"2026-07-05T08:23:25.769259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:25.769259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Klne4D3We2N1SBmLFVZzI4JsOLYsaVCZmfxGFp5L9Qa0D3rX1JsbT5bsAHTHUUU1S7WrtIDnr0+Wucq4CwWmBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:25.769650Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e78d67728f9f313c6dc8788f8647350e1459c90796655b79b3863f6b1e5d58b","sha256:a0e155f26b3e9b86234f455dc5aa0848525757b115ad2aee2bde11f5b6a841c4"],"state_sha256":"d24eb28cd8fb684669a6220e00f5b8700d66ca4934f084f0c5f9ff4a91b67c04"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K05Lb5agfvjq0oCFzyB5cNAvGYsXgXoNAkvt5x6WcR/Z1sAfi70W4HfnD7FuYBxEE+3q7xPVwBkkw4Cpf4t8DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T04:56:55.165760Z","bundle_sha256":"d3422d990a599a551945a5870f17c5e586314434c6c7befdf46d5ae9eb19ae38"}}