{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:5726XJMUSDBIYYSKM3JOUHNJXD","short_pith_number":"pith:5726XJMU","schema_version":"1.0","canonical_sha256":"eff5eba59490c28c624a66d2ea1da9b8d8a3c9444f334d72ea425da17bb235f1","source":{"kind":"arxiv","id":"2112.07928","version":2},"attestation_state":"computed","paper":{"title":"Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Li, Dayan Wu, Wanqian Zhang, Weiping Wang, Xiaohua Chen, Yucan Zhou, Yu Zhou","submitted_at":"2021-12-15T07:14:39Z","abstract_excerpt":"Real-world data often follows a long-tailed distribution, which makes the performance of existing classification algorithms degrade heavily. A key issue is that samples in tail categories fail to depict their intra-class diversity. Humans can imagine a sample in new poses, scenes, and view angles with their prior knowledge even if it is the first time to see this category. Inspired by this, we propose a novel reasoning-based implicit semantic data augmentation method to borrow transformation directions from other classes. Since the covariance matrix of each category represents the feature tran"},"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":"2112.07928","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-15T07:14:39Z","cross_cats_sorted":[],"title_canon_sha256":"4b56bce1871e45a6d4ec1fb057ecb4070f8ef3d0d264c1a9606a0d1c360c00b0","abstract_canon_sha256":"bc85d1519ef5eca31752c1d57793ca03a2493d2610c02ed2b13a21281ea07f92"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:56:04.892047Z","signature_b64":"cLs7VEHY7i1HhcOcAoskPEY02B7mPZdUJ6IHeaEcloMkdaT5Th2F9OMbcd0TiytrO16z9IRYDDovS4B9yfw2Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eff5eba59490c28c624a66d2ea1da9b8d8a3c9444f334d72ea425da17bb235f1","last_reissued_at":"2026-07-05T03:56:04.891630Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:56:04.891630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Li, Dayan Wu, Wanqian Zhang, Weiping Wang, Xiaohua Chen, Yucan Zhou, Yu Zhou","submitted_at":"2021-12-15T07:14:39Z","abstract_excerpt":"Real-world data often follows a long-tailed distribution, which makes the performance of existing classification algorithms degrade heavily. A key issue is that samples in tail categories fail to depict their intra-class diversity. Humans can imagine a sample in new poses, scenes, and view angles with their prior knowledge even if it is the first time to see this category. Inspired by this, we propose a novel reasoning-based implicit semantic data augmentation method to borrow transformation directions from other classes. Since the covariance matrix of each category represents the feature tran"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.07928","kind":"arxiv","version":2},"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/2112.07928/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":"2112.07928","created_at":"2026-07-05T03:56:04.891685+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.07928v2","created_at":"2026-07-05T03:56:04.891685+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.07928","created_at":"2026-07-05T03:56:04.891685+00:00"},{"alias_kind":"pith_short_12","alias_value":"5726XJMUSDBI","created_at":"2026-07-05T03:56:04.891685+00:00"},{"alias_kind":"pith_short_16","alias_value":"5726XJMUSDBIYYSK","created_at":"2026-07-05T03:56:04.891685+00:00"},{"alias_kind":"pith_short_8","alias_value":"5726XJMU","created_at":"2026-07-05T03:56:04.891685+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/5726XJMUSDBIYYSKM3JOUHNJXD","json":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD.json","graph_json":"https://pith.science/api/pith-number/5726XJMUSDBIYYSKM3JOUHNJXD/graph.json","events_json":"https://pith.science/api/pith-number/5726XJMUSDBIYYSKM3JOUHNJXD/events.json","paper":"https://pith.science/paper/5726XJMU"},"agent_actions":{"view_html":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD","download_json":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD.json","view_paper":"https://pith.science/paper/5726XJMU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.07928&json=true","fetch_graph":"https://pith.science/api/pith-number/5726XJMUSDBIYYSKM3JOUHNJXD/graph.json","fetch_events":"https://pith.science/api/pith-number/5726XJMUSDBIYYSKM3JOUHNJXD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD/action/storage_attestation","attest_author":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD/action/author_attestation","sign_citation":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD/action/citation_signature","submit_replication":"https://pith.science/pith/5726XJMUSDBIYYSKM3JOUHNJXD/action/replication_record"}},"created_at":"2026-07-05T03:56:04.891685+00:00","updated_at":"2026-07-05T03:56:04.891685+00:00"}