{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:V76VF7YJ6DIZHXPSTOJPBPYIXO","short_pith_number":"pith:V76VF7YJ","schema_version":"1.0","canonical_sha256":"affd52ff09f0d193ddf29b92f0bf08bbbcaab1797e7e092a110d1e50fb30089e","source":{"kind":"arxiv","id":"1903.10870","version":1},"attestation_state":"computed","paper":{"title":"Algorithms and Improved bounds for online learning under finite hypothesis class","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Ankit Sharma, Late C. A. Murthy","submitted_at":"2019-03-24T06:52:26Z","abstract_excerpt":"Online learning is the process of answering a sequence of questions based on the correct answers to the previous questions. It is studied in many research areas such as game theory, information theory and machine learning. There are two main components of online learning framework. First, the learning algorithm also known as the learner and second, the hypothesis class which is essentially a set of functions which learner uses to predict answers to the questions. Sometimes, this class contains some functions which have the capability to provide correct answers to the entire sequence of questio"},"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":"1903.10870","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-24T06:52:26Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"dd38a5c124557332834138dd4f3958271335cc1547f5970bee3351b924bf36c3","abstract_canon_sha256":"331dff842e69715b293523a8d7c622d86f382ce36c352a8a82f125d4d8c325ca"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:17.444216Z","signature_b64":"+wOcWykSnz175xZhCptvWTQB/czc1x2I3+z6MxHs5kxM5DDvSjqCBuKAxeuY2edyDjjwJRprDEBwUkGt9E6aDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"affd52ff09f0d193ddf29b92f0bf08bbbcaab1797e7e092a110d1e50fb30089e","last_reissued_at":"2026-05-17T23:50:17.443644Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:17.443644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Algorithms and Improved bounds for online learning under finite hypothesis class","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Ankit Sharma, Late C. A. Murthy","submitted_at":"2019-03-24T06:52:26Z","abstract_excerpt":"Online learning is the process of answering a sequence of questions based on the correct answers to the previous questions. It is studied in many research areas such as game theory, information theory and machine learning. There are two main components of online learning framework. First, the learning algorithm also known as the learner and second, the hypothesis class which is essentially a set of functions which learner uses to predict answers to the questions. Sometimes, this class contains some functions which have the capability to provide correct answers to the entire sequence of questio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.10870","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":"1903.10870","created_at":"2026-05-17T23:50:17.443727+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.10870v1","created_at":"2026-05-17T23:50:17.443727+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.10870","created_at":"2026-05-17T23:50:17.443727+00:00"},{"alias_kind":"pith_short_12","alias_value":"V76VF7YJ6DIZ","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"V76VF7YJ6DIZHXPS","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"V76VF7YJ","created_at":"2026-05-18T12:33:30.264802+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/V76VF7YJ6DIZHXPSTOJPBPYIXO","json":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO.json","graph_json":"https://pith.science/api/pith-number/V76VF7YJ6DIZHXPSTOJPBPYIXO/graph.json","events_json":"https://pith.science/api/pith-number/V76VF7YJ6DIZHXPSTOJPBPYIXO/events.json","paper":"https://pith.science/paper/V76VF7YJ"},"agent_actions":{"view_html":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO","download_json":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO.json","view_paper":"https://pith.science/paper/V76VF7YJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.10870&json=true","fetch_graph":"https://pith.science/api/pith-number/V76VF7YJ6DIZHXPSTOJPBPYIXO/graph.json","fetch_events":"https://pith.science/api/pith-number/V76VF7YJ6DIZHXPSTOJPBPYIXO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO/action/storage_attestation","attest_author":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO/action/author_attestation","sign_citation":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO/action/citation_signature","submit_replication":"https://pith.science/pith/V76VF7YJ6DIZHXPSTOJPBPYIXO/action/replication_record"}},"created_at":"2026-05-17T23:50:17.443727+00:00","updated_at":"2026-05-17T23:50:17.443727+00:00"}