{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6RZ656HFV36XGPYXMYO4OS2LLT","short_pith_number":"pith:6RZ656HF","canonical_record":{"source":{"id":"2408.10046","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-19T14:38:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"4ac650f916118f0e1d8c12fcf66636223b1ce3d19def04b8b5bddd8620bbb578","abstract_canon_sha256":"41c916278e07a897655ab443c82a229df5b4301884983f46d3a711ae34e60190"},"schema_version":"1.0"},"canonical_sha256":"f473eef8e5aefd733f17661dc74b4b5cebdaec86be4f204caa0fc5233134595b","source":{"kind":"arxiv","id":"2408.10046","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.10046","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"arxiv_version","alias_value":"2408.10046v1","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.10046","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"pith_short_12","alias_value":"6RZ656HFV36X","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"pith_short_16","alias_value":"6RZ656HFV36XGPYX","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"pith_short_8","alias_value":"6RZ656HF","created_at":"2026-07-05T08:56:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6RZ656HFV36XGPYXMYO4OS2LLT","target":"record","payload":{"canonical_record":{"source":{"id":"2408.10046","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-19T14:38:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"4ac650f916118f0e1d8c12fcf66636223b1ce3d19def04b8b5bddd8620bbb578","abstract_canon_sha256":"41c916278e07a897655ab443c82a229df5b4301884983f46d3a711ae34e60190"},"schema_version":"1.0"},"canonical_sha256":"f473eef8e5aefd733f17661dc74b4b5cebdaec86be4f204caa0fc5233134595b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:56:50.669765Z","signature_b64":"thCNUpcQI73wNXrMClteIvsKbj6/fyBmQyFpAL1uB2hoR0IoyL5SVUxNhudmNUWR/VLBjdQLwiY6AeHfPLIqDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f473eef8e5aefd733f17661dc74b4b5cebdaec86be4f204caa0fc5233134595b","last_reissued_at":"2026-07-05T08:56:50.669278Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:56:50.669278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.10046","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":"2026-07-05T08:56:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/wXHU+Bety27XjmHrPrwEQ5OScJdHrCALrk6igASE1loO9veZqEBv60pZpbWIuDrQDrGhH9FsgPNIuJOhRweCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:22:57.520751Z"},"content_sha256":"b4b582d61c1c03974ca13f15a59bffdd39865e750de7e0081d3bb3a9cda1f2e3","schema_version":"1.0","event_id":"sha256:b4b582d61c1c03974ca13f15a59bffdd39865e750de7e0081d3bb3a9cda1f2e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6RZ656HFV36XGPYXMYO4OS2LLT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Hongyuan Liu, Jiaming Liu, Junming Shao, Qinli Yang, Wei Han, Yulu Fan, Zhili Qin","submitted_at":"2024-08-19T14:38:27Z","abstract_excerpt":"The dynamic nature of open-world scenarios has attracted more attention to class incremental learning (CIL). However, existing CIL methods typically presume the availability of complete ground-truth labels throughout the training process, an assumption rarely met in practical applications. Consequently, this paper explores a more challenging problem of unsupervised class incremental learning (UCIL). The essence of addressing this problem lies in effectively capturing comprehensive feature representations and discovering unknown novel classes. To achieve this, we first model the knowledge of cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.10046","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/2408.10046/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":"2026-07-05T08:56:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U91gRxfReaNM3IEBo7OdU0prIp74WHKIaRZpWR2FW7Vth+7bX+A2NoumJkyU59D2L3bPdjMsHfhjleDGFqGZCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:22:57.521293Z"},"content_sha256":"b2331d0d6f7eaaa1650361f93431d776df7007d1ba00c3f633ed073b9b444d4d","schema_version":"1.0","event_id":"sha256:b2331d0d6f7eaaa1650361f93431d776df7007d1ba00c3f633ed073b9b444d4d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6RZ656HFV36XGPYXMYO4OS2LLT/bundle.json","state_url":"https://pith.science/pith/6RZ656HFV36XGPYXMYO4OS2LLT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6RZ656HFV36XGPYXMYO4OS2LLT/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":"2026-08-13T16:22:57Z","links":{"resolver":"https://pith.science/pith/6RZ656HFV36XGPYXMYO4OS2LLT","bundle":"https://pith.science/pith/6RZ656HFV36XGPYXMYO4OS2LLT/bundle.json","state":"https://pith.science/pith/6RZ656HFV36XGPYXMYO4OS2LLT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6RZ656HFV36XGPYXMYO4OS2LLT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6RZ656HFV36XGPYXMYO4OS2LLT","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":"41c916278e07a897655ab443c82a229df5b4301884983f46d3a711ae34e60190","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-19T14:38:27Z","title_canon_sha256":"4ac650f916118f0e1d8c12fcf66636223b1ce3d19def04b8b5bddd8620bbb578"},"schema_version":"1.0","source":{"id":"2408.10046","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.10046","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"arxiv_version","alias_value":"2408.10046v1","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.10046","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"pith_short_12","alias_value":"6RZ656HFV36X","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"pith_short_16","alias_value":"6RZ656HFV36XGPYX","created_at":"2026-07-05T08:56:50Z"},{"alias_kind":"pith_short_8","alias_value":"6RZ656HF","created_at":"2026-07-05T08:56:50Z"}],"graph_snapshots":[{"event_id":"sha256:b2331d0d6f7eaaa1650361f93431d776df7007d1ba00c3f633ed073b9b444d4d","target":"graph","created_at":"2026-07-05T08:56:50Z","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/2408.10046/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The dynamic nature of open-world scenarios has attracted more attention to class incremental learning (CIL). However, existing CIL methods typically presume the availability of complete ground-truth labels throughout the training process, an assumption rarely met in practical applications. Consequently, this paper explores a more challenging problem of unsupervised class incremental learning (UCIL). The essence of addressing this problem lies in effectively capturing comprehensive feature representations and discovering unknown novel classes. To achieve this, we first model the knowledge of cl","authors_text":"Hongyuan Liu, Jiaming Liu, Junming Shao, Qinli Yang, Wei Han, Yulu Fan, Zhili Qin","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-19T14:38:27Z","title":"Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.10046","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:b4b582d61c1c03974ca13f15a59bffdd39865e750de7e0081d3bb3a9cda1f2e3","target":"record","created_at":"2026-07-05T08:56:50Z","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":"41c916278e07a897655ab443c82a229df5b4301884983f46d3a711ae34e60190","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-19T14:38:27Z","title_canon_sha256":"4ac650f916118f0e1d8c12fcf66636223b1ce3d19def04b8b5bddd8620bbb578"},"schema_version":"1.0","source":{"id":"2408.10046","kind":"arxiv","version":1}},"canonical_sha256":"f473eef8e5aefd733f17661dc74b4b5cebdaec86be4f204caa0fc5233134595b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f473eef8e5aefd733f17661dc74b4b5cebdaec86be4f204caa0fc5233134595b","first_computed_at":"2026-07-05T08:56:50.669278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:50.669278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"thCNUpcQI73wNXrMClteIvsKbj6/fyBmQyFpAL1uB2hoR0IoyL5SVUxNhudmNUWR/VLBjdQLwiY6AeHfPLIqDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:50.669765Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.10046","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4b582d61c1c03974ca13f15a59bffdd39865e750de7e0081d3bb3a9cda1f2e3","sha256:b2331d0d6f7eaaa1650361f93431d776df7007d1ba00c3f633ed073b9b444d4d"],"state_sha256":"6a51660fb8d1ef418c11f1056f59344920a9a79ea6861ac7f2a2bff0c44b064a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LJShCNULr2QIMBZplAwbqLrRe6w3obOe5toGwZmYvHaeR22kfDDBkwn0Q9gT0udSVCXJCFipHyoDEaIEHw71Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T16:22:57.526891Z","bundle_sha256":"07d2b5cac08f21d83ba69e967aa486e62c544ef7df819f381a4010c304216a7f"}}