{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FEJ6LC3C7HPGVNQEA3FXSYPQ2S","short_pith_number":"pith:FEJ6LC3C","canonical_record":{"source":{"id":"2507.01711","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T13:41:30Z","cross_cats_sorted":[],"title_canon_sha256":"6771ead0e9ca74f437f2fca0aae1c4044d21564a4623d249b8f1546b4fa844a9","abstract_canon_sha256":"6497511fbf3c89b43257761e5de4c7883692accf0cffa4b8c4134b2ba9b9e67e"},"schema_version":"1.0"},"canonical_sha256":"2913e58b62f9de6ab60406cb7961f0d4b60c2c32d58b230566051386eb8bd25b","source":{"kind":"arxiv","id":"2507.01711","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01711","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01711v1","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01711","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"pith_short_12","alias_value":"FEJ6LC3C7HPG","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"FEJ6LC3C7HPGVNQE","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"FEJ6LC3C","created_at":"2026-07-05T11:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FEJ6LC3C7HPGVNQEA3FXSYPQ2S","target":"record","payload":{"canonical_record":{"source":{"id":"2507.01711","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T13:41:30Z","cross_cats_sorted":[],"title_canon_sha256":"6771ead0e9ca74f437f2fca0aae1c4044d21564a4623d249b8f1546b4fa844a9","abstract_canon_sha256":"6497511fbf3c89b43257761e5de4c7883692accf0cffa4b8c4134b2ba9b9e67e"},"schema_version":"1.0"},"canonical_sha256":"2913e58b62f9de6ab60406cb7961f0d4b60c2c32d58b230566051386eb8bd25b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:53.809162Z","signature_b64":"/pol4lIPP+K2RDipsBtcmAVVwmVSu0bU9+7wJIsKxush9cI2uzUbJwsEWh9W4JiuCEgsMWHXchDTTscJy+U3CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2913e58b62f9de6ab60406cb7961f0d4b60c2c32d58b230566051386eb8bd25b","last_reissued_at":"2026-07-05T11:30:53.808592Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:53.808592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.01711","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":"2026-07-05T11:30:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WHVzLZKsO0tDL7eD56FD+KosK0zukOYUSXHKvTxe8Z/yXl9k1jNKv8TN/lusQuL9y7U6EkfBEIOSeQzg8kAICQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:03:44.260013Z"},"content_sha256":"dfc6beb5804d83c1f722a664c3ff674868d5e684ab6d22b619380487f8c18ddd","schema_version":"1.0","event_id":"sha256:dfc6beb5804d83c1f722a664c3ff674868d5e684ab6d22b619380487f8c18ddd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FEJ6LC3C7HPGVNQEA3FXSYPQ2S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Component Adaptive Clustering for Generalized Category Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiancheng Huang, Mingfu Yan, Shifeng Chen, Yifan Liu","submitted_at":"2025-07-02T13:41:30Z","abstract_excerpt":"Generalized Category Discovery (GCD) tackles the challenging problem of categorizing unlabeled images into both known and novel classes within a partially labeled dataset, without prior knowledge of the number of unknown categories. Traditional methods often rely on rigid assumptions, such as predefining the number of classes, which limits their ability to handle the inherent variability and complexity of real-world data. To address these shortcomings, we propose AdaGCD, a cluster-centric contrastive learning framework that incorporates Adaptive Slot Attention (AdaSlot) into the GCD framework."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01711","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/2507.01711/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":"2026-07-05T11:30:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0YOucV0AoEcWxOq47vosx0nhjxI/ZFSnrzVzeEB176rOZ+BMfx9nx0D2Cw22+BneKAtxtuNsTbGAhDW0L9jPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:03:44.260518Z"},"content_sha256":"bf8106ab407b5b45a5e0fdb5fc779d3c11a49283b794e2c7c73c608f7d1f51e1","schema_version":"1.0","event_id":"sha256:bf8106ab407b5b45a5e0fdb5fc779d3c11a49283b794e2c7c73c608f7d1f51e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S/bundle.json","state_url":"https://pith.science/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S/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":"2026-08-07T05:03:44Z","links":{"resolver":"https://pith.science/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S","bundle":"https://pith.science/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S/bundle.json","state":"https://pith.science/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FEJ6LC3C7HPGVNQEA3FXSYPQ2S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FEJ6LC3C7HPGVNQEA3FXSYPQ2S","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":"6497511fbf3c89b43257761e5de4c7883692accf0cffa4b8c4134b2ba9b9e67e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T13:41:30Z","title_canon_sha256":"6771ead0e9ca74f437f2fca0aae1c4044d21564a4623d249b8f1546b4fa844a9"},"schema_version":"1.0","source":{"id":"2507.01711","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01711","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01711v1","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01711","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"pith_short_12","alias_value":"FEJ6LC3C7HPG","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"FEJ6LC3C7HPGVNQE","created_at":"2026-07-05T11:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"FEJ6LC3C","created_at":"2026-07-05T11:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:bf8106ab407b5b45a5e0fdb5fc779d3c11a49283b794e2c7c73c608f7d1f51e1","target":"graph","created_at":"2026-07-05T11:30:53Z","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/2507.01711/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generalized Category Discovery (GCD) tackles the challenging problem of categorizing unlabeled images into both known and novel classes within a partially labeled dataset, without prior knowledge of the number of unknown categories. Traditional methods often rely on rigid assumptions, such as predefining the number of classes, which limits their ability to handle the inherent variability and complexity of real-world data. To address these shortcomings, we propose AdaGCD, a cluster-centric contrastive learning framework that incorporates Adaptive Slot Attention (AdaSlot) into the GCD framework.","authors_text":"Jiancheng Huang, Mingfu Yan, Shifeng Chen, Yifan Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T13:41:30Z","title":"Component Adaptive Clustering for Generalized Category Discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01711","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:dfc6beb5804d83c1f722a664c3ff674868d5e684ab6d22b619380487f8c18ddd","target":"record","created_at":"2026-07-05T11:30:53Z","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":"6497511fbf3c89b43257761e5de4c7883692accf0cffa4b8c4134b2ba9b9e67e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T13:41:30Z","title_canon_sha256":"6771ead0e9ca74f437f2fca0aae1c4044d21564a4623d249b8f1546b4fa844a9"},"schema_version":"1.0","source":{"id":"2507.01711","kind":"arxiv","version":1}},"canonical_sha256":"2913e58b62f9de6ab60406cb7961f0d4b60c2c32d58b230566051386eb8bd25b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2913e58b62f9de6ab60406cb7961f0d4b60c2c32d58b230566051386eb8bd25b","first_computed_at":"2026-07-05T11:30:53.808592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:53.808592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/pol4lIPP+K2RDipsBtcmAVVwmVSu0bU9+7wJIsKxush9cI2uzUbJwsEWh9W4JiuCEgsMWHXchDTTscJy+U3CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:53.809162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.01711","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfc6beb5804d83c1f722a664c3ff674868d5e684ab6d22b619380487f8c18ddd","sha256:bf8106ab407b5b45a5e0fdb5fc779d3c11a49283b794e2c7c73c608f7d1f51e1"],"state_sha256":"e8772ac7a4e7e43671a8e4399db66b6825f814f744bfb06619c7d2ceafd79d63"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eM1yCA5Ts0K6Cz455Rht7J+mWsOteIJMDlFiN4N1C2STAJH6lQjE6Gq5gsEu2TkMOQwnXjDkbwl8jZg12vCcAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T05:03:44.266032Z","bundle_sha256":"bde52d7bbaee161c8a20c941f890d3cc82aee5eb4ec8ddf63f8d0af67e96e2a8"}}