{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:2ZQQYX4Y7CLAR5OGADYIRRSYJI","short_pith_number":"pith:2ZQQYX4Y","schema_version":"1.0","canonical_sha256":"d6610c5f98f89608f5c600f088c6584a3ac54c579b1a5c06c550e45f2b5c0069","source":{"kind":"arxiv","id":"2607.00620","version":1},"attestation_state":"computed","paper":{"title":"Identifying Latent Concepts and Structures for Generalized Category Discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Boyang Dai, Chaoqi Chen, Yizhou Yu","submitted_at":"2026-07-01T08:40:46Z","abstract_excerpt":"Generalized Category Discovery (GCD) aims to recognize known classes while autonomously discovering novel ones in open-world settings. However, current approaches primarily focus on designing clustering objectives, often overlooking a critical bottleneck: standard vision backbones yield high-rank, entangled token representations that are ill-suited for unsupervised discovery of latent concepts and structures. In this paper, we propose Compositional Primitive Fields (CPF-GCD), a novel representation learning framework that reshapes the feature space to make such latent structure identifiable by"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.00620","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T08:40:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6f078f5193f8650463c9c5ef37af4948001f303557404b19993000902130891b","abstract_canon_sha256":"182f63b77395d5be674ccd2c564097f99a6f1acfd72e0207f84852d1c2d0987f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:17:49.442386Z","signature_b64":"o20F4N2/VeTAcyadqzRsuRXazoXVUsNnjHk6wLkjJh8iaOYUvQxk5gB95lFP04Yhlpr27ZmNHkPQ1+XDS2qJDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6610c5f98f89608f5c600f088c6584a3ac54c579b1a5c06c550e45f2b5c0069","last_reissued_at":"2026-07-02T01:17:49.441803Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:17:49.441803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identifying Latent Concepts and Structures for Generalized Category Discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Boyang Dai, Chaoqi Chen, Yizhou Yu","submitted_at":"2026-07-01T08:40:46Z","abstract_excerpt":"Generalized Category Discovery (GCD) aims to recognize known classes while autonomously discovering novel ones in open-world settings. However, current approaches primarily focus on designing clustering objectives, often overlooking a critical bottleneck: standard vision backbones yield high-rank, entangled token representations that are ill-suited for unsupervised discovery of latent concepts and structures. In this paper, we propose Compositional Primitive Fields (CPF-GCD), a novel representation learning framework that reshapes the feature space to make such latent structure identifiable by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00620","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/2607.00620/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.00620","created_at":"2026-07-02T01:17:49.441878+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.00620v1","created_at":"2026-07-02T01:17:49.441878+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00620","created_at":"2026-07-02T01:17:49.441878+00:00"},{"alias_kind":"pith_short_12","alias_value":"2ZQQYX4Y7CLA","created_at":"2026-07-02T01:17:49.441878+00:00"},{"alias_kind":"pith_short_16","alias_value":"2ZQQYX4Y7CLAR5OG","created_at":"2026-07-02T01:17:49.441878+00:00"},{"alias_kind":"pith_short_8","alias_value":"2ZQQYX4Y","created_at":"2026-07-02T01:17:49.441878+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI","json":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI.json","graph_json":"https://pith.science/api/pith-number/2ZQQYX4Y7CLAR5OGADYIRRSYJI/graph.json","events_json":"https://pith.science/api/pith-number/2ZQQYX4Y7CLAR5OGADYIRRSYJI/events.json","paper":"https://pith.science/paper/2ZQQYX4Y"},"agent_actions":{"view_html":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI","download_json":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI.json","view_paper":"https://pith.science/paper/2ZQQYX4Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.00620&json=true","fetch_graph":"https://pith.science/api/pith-number/2ZQQYX4Y7CLAR5OGADYIRRSYJI/graph.json","fetch_events":"https://pith.science/api/pith-number/2ZQQYX4Y7CLAR5OGADYIRRSYJI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI/action/storage_attestation","attest_author":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI/action/author_attestation","sign_citation":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI/action/citation_signature","submit_replication":"https://pith.science/pith/2ZQQYX4Y7CLAR5OGADYIRRSYJI/action/replication_record"}},"created_at":"2026-07-02T01:17:49.441878+00:00","updated_at":"2026-07-02T01:17:49.441878+00:00"}