{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:IPRNMNCJ3NYHK4DIYMAFN44FID","short_pith_number":"pith:IPRNMNCJ","schema_version":"1.0","canonical_sha256":"43e2d63449db70757068c30056f38540eb2641b1de0a0644898dce4143848b8a","source":{"kind":"arxiv","id":"1703.09923","version":1},"attestation_state":"computed","paper":{"title":"On Convergence Property of Implicit Self-paced Objective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Deyu Meng, Shiqi Liu, Zilu Ma","submitted_at":"2017-03-29T07:53:43Z","abstract_excerpt":"Self-paced learning (SPL) is a new methodology that simulates the learning principle of humans/animals to start learning easier aspects of a learning task, and then gradually take more complex examples into training. This new-coming learning regime has been empirically substantiated to be effective in various computer vision and pattern recognition tasks. Recently, it has been proved that the SPL regime has a close relationship to a implicit self-paced objective function. While this implicit objective could provide helpful interpretations to the effectiveness, especially the robustness, insigh"},"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":"1703.09923","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-03-29T07:53:43Z","cross_cats_sorted":[],"title_canon_sha256":"716f8590e86c34bf2866386138751334ff30422121f10fd42eba2a47abfa31dc","abstract_canon_sha256":"9b0e03e48f4b30c94722dd53e981ba3fc712f032ace3e4b2a523503d402c753d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:39.001843Z","signature_b64":"9PAg5YnhCvLMNg+XhznfWuAQ/DRGipNlMii03EHM1s8z3uRyrykaDoQTDFnB+1TCboXb8Lo7BLc/0ftxdnMFDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43e2d63449db70757068c30056f38540eb2641b1de0a0644898dce4143848b8a","last_reissued_at":"2026-05-18T00:47:39.001334Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:39.001334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On Convergence Property of Implicit Self-paced Objective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Deyu Meng, Shiqi Liu, Zilu Ma","submitted_at":"2017-03-29T07:53:43Z","abstract_excerpt":"Self-paced learning (SPL) is a new methodology that simulates the learning principle of humans/animals to start learning easier aspects of a learning task, and then gradually take more complex examples into training. This new-coming learning regime has been empirically substantiated to be effective in various computer vision and pattern recognition tasks. Recently, it has been proved that the SPL regime has a close relationship to a implicit self-paced objective function. While this implicit objective could provide helpful interpretations to the effectiveness, especially the robustness, insigh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.09923","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":""},"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":"1703.09923","created_at":"2026-05-18T00:47:39.001425+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.09923v1","created_at":"2026-05-18T00:47:39.001425+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.09923","created_at":"2026-05-18T00:47:39.001425+00:00"},{"alias_kind":"pith_short_12","alias_value":"IPRNMNCJ3NYH","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_16","alias_value":"IPRNMNCJ3NYHK4DI","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_8","alias_value":"IPRNMNCJ","created_at":"2026-05-18T12:31:21.493067+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/IPRNMNCJ3NYHK4DIYMAFN44FID","json":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID.json","graph_json":"https://pith.science/api/pith-number/IPRNMNCJ3NYHK4DIYMAFN44FID/graph.json","events_json":"https://pith.science/api/pith-number/IPRNMNCJ3NYHK4DIYMAFN44FID/events.json","paper":"https://pith.science/paper/IPRNMNCJ"},"agent_actions":{"view_html":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID","download_json":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID.json","view_paper":"https://pith.science/paper/IPRNMNCJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.09923&json=true","fetch_graph":"https://pith.science/api/pith-number/IPRNMNCJ3NYHK4DIYMAFN44FID/graph.json","fetch_events":"https://pith.science/api/pith-number/IPRNMNCJ3NYHK4DIYMAFN44FID/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID/action/storage_attestation","attest_author":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID/action/author_attestation","sign_citation":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID/action/citation_signature","submit_replication":"https://pith.science/pith/IPRNMNCJ3NYHK4DIYMAFN44FID/action/replication_record"}},"created_at":"2026-05-18T00:47:39.001425+00:00","updated_at":"2026-05-18T00:47:39.001425+00:00"}