{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZPYA7SW4ZHDFARQ7I3AKBUGNFX","short_pith_number":"pith:ZPYA7SW4","schema_version":"1.0","canonical_sha256":"cbf00fcadcc9c650461f46c0a0d0cd2dd7779a8c56760d88bf38b129c69b315f","source":{"kind":"arxiv","id":"2506.16728","version":1},"attestation_state":"computed","paper":{"title":"Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Luo, Siyu Huang, Yunhan Ren","submitted_at":"2025-06-20T03:52:36Z","abstract_excerpt":"While existing Generalized Category Discovery (GCD) models have achieved significant success, their performance with limited labeled samples and a small number of known categories remains largely unexplored. In this work, we introduce the task of Few-shot Generalized Category Discovery (FSGCD), aiming to achieve competitive performance in GCD tasks under conditions of known information scarcity. To tackle this challenge, we propose a decision boundary enhancement framework with affinity-based retrieval. Our framework is designed to learn the decision boundaries of known categories and transfer"},"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":"2506.16728","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-20T03:52:36Z","cross_cats_sorted":[],"title_canon_sha256":"72857e1e2dac01e486a9bf972567cc378fcf9cccf7bcc81fddf9c50dd98ec389","abstract_canon_sha256":"078106d45f7f5356b66d9859e4a2702cb82fb59cffe58ed45238821bc1e111a6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:41.751484Z","signature_b64":"PKdjSB8u5II/OqMPV8rBJxsXiaagjSYBkU7v7WV8efiUI0CVLlFK5Icv+ES/9ZfixI7nMpWga65h5hO8zw75Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbf00fcadcc9c650461f46c0a0d0cd2dd7779a8c56760d88bf38b129c69b315f","last_reissued_at":"2026-07-05T11:24:41.750975Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:41.750975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Luo, Siyu Huang, Yunhan Ren","submitted_at":"2025-06-20T03:52:36Z","abstract_excerpt":"While existing Generalized Category Discovery (GCD) models have achieved significant success, their performance with limited labeled samples and a small number of known categories remains largely unexplored. In this work, we introduce the task of Few-shot Generalized Category Discovery (FSGCD), aiming to achieve competitive performance in GCD tasks under conditions of known information scarcity. To tackle this challenge, we propose a decision boundary enhancement framework with affinity-based retrieval. Our framework is designed to learn the decision boundaries of known categories and transfer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16728","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/2506.16728/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":"2506.16728","created_at":"2026-07-05T11:24:41.751040+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.16728v1","created_at":"2026-07-05T11:24:41.751040+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16728","created_at":"2026-07-05T11:24:41.751040+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZPYA7SW4ZHDF","created_at":"2026-07-05T11:24:41.751040+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZPYA7SW4ZHDFARQ7","created_at":"2026-07-05T11:24:41.751040+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZPYA7SW4","created_at":"2026-07-05T11:24:41.751040+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/ZPYA7SW4ZHDFARQ7I3AKBUGNFX","json":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX.json","graph_json":"https://pith.science/api/pith-number/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/graph.json","events_json":"https://pith.science/api/pith-number/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/events.json","paper":"https://pith.science/paper/ZPYA7SW4"},"agent_actions":{"view_html":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX","download_json":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX.json","view_paper":"https://pith.science/paper/ZPYA7SW4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.16728&json=true","fetch_graph":"https://pith.science/api/pith-number/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/graph.json","fetch_events":"https://pith.science/api/pith-number/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/action/storage_attestation","attest_author":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/action/author_attestation","sign_citation":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/action/citation_signature","submit_replication":"https://pith.science/pith/ZPYA7SW4ZHDFARQ7I3AKBUGNFX/action/replication_record"}},"created_at":"2026-07-05T11:24:41.751040+00:00","updated_at":"2026-07-05T11:24:41.751040+00:00"}