{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:P6UNKCUQM7EGORGBBK5FSEF6BZ","short_pith_number":"pith:P6UNKCUQ","schema_version":"1.0","canonical_sha256":"7fa8d50a9067c86744c10aba5910be0e706e141fdd73ad3895c07179af354488","source":{"kind":"arxiv","id":"2110.10828","version":2},"attestation_state":"computed","paper":{"title":"AdamD: Improved bias-correction in Adam","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"John St John","submitted_at":"2021-10-20T23:55:23Z","abstract_excerpt":"Here I present a small update to the bias-correction term in the Adam optimizer that has the advantage of making smaller gradient updates in the first several steps of training. With the default bias-correction, Adam may actually make larger than requested gradient updates early in training. By only including the well-justified bias-correction of the second moment gradient estimate, $v_t$, and excluding the bias-correction on the first-order estimate, $m_t$, we attain these more desirable gradient update properties in the first series of steps. The default implementation of Adam may be as sens"},"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":"2110.10828","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-20T23:55:23Z","cross_cats_sorted":[],"title_canon_sha256":"8f7ea1aa227571d5c02841a52a543d16b41f20361ae6c1b3484096ead9bbe661","abstract_canon_sha256":"1f53c173b89dd500c2b20a50c7df418707150b4468a4527138461441c8192e78"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:24:45.848020Z","signature_b64":"CM7mGqk65DCdOKq5+IED6HiMqp7Egj80E1/mtRxzf1s+bfOWSKzLfycZ9JUrXq2fd8nspRMIb4QW35rFor6MBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fa8d50a9067c86744c10aba5910be0e706e141fdd73ad3895c07179af354488","last_reissued_at":"2026-07-05T03:24:45.847605Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:24:45.847605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AdamD: Improved bias-correction in Adam","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"John St John","submitted_at":"2021-10-20T23:55:23Z","abstract_excerpt":"Here I present a small update to the bias-correction term in the Adam optimizer that has the advantage of making smaller gradient updates in the first several steps of training. With the default bias-correction, Adam may actually make larger than requested gradient updates early in training. By only including the well-justified bias-correction of the second moment gradient estimate, $v_t$, and excluding the bias-correction on the first-order estimate, $m_t$, we attain these more desirable gradient update properties in the first series of steps. The default implementation of Adam may be as sens"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.10828","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/2110.10828/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":"2110.10828","created_at":"2026-07-05T03:24:45.847664+00:00"},{"alias_kind":"arxiv_version","alias_value":"2110.10828v2","created_at":"2026-07-05T03:24:45.847664+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.10828","created_at":"2026-07-05T03:24:45.847664+00:00"},{"alias_kind":"pith_short_12","alias_value":"P6UNKCUQM7EG","created_at":"2026-07-05T03:24:45.847664+00:00"},{"alias_kind":"pith_short_16","alias_value":"P6UNKCUQM7EGORGB","created_at":"2026-07-05T03:24:45.847664+00:00"},{"alias_kind":"pith_short_8","alias_value":"P6UNKCUQ","created_at":"2026-07-05T03:24:45.847664+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/P6UNKCUQM7EGORGBBK5FSEF6BZ","json":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ.json","graph_json":"https://pith.science/api/pith-number/P6UNKCUQM7EGORGBBK5FSEF6BZ/graph.json","events_json":"https://pith.science/api/pith-number/P6UNKCUQM7EGORGBBK5FSEF6BZ/events.json","paper":"https://pith.science/paper/P6UNKCUQ"},"agent_actions":{"view_html":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ","download_json":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ.json","view_paper":"https://pith.science/paper/P6UNKCUQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2110.10828&json=true","fetch_graph":"https://pith.science/api/pith-number/P6UNKCUQM7EGORGBBK5FSEF6BZ/graph.json","fetch_events":"https://pith.science/api/pith-number/P6UNKCUQM7EGORGBBK5FSEF6BZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ/action/storage_attestation","attest_author":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ/action/author_attestation","sign_citation":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ/action/citation_signature","submit_replication":"https://pith.science/pith/P6UNKCUQM7EGORGBBK5FSEF6BZ/action/replication_record"}},"created_at":"2026-07-05T03:24:45.847664+00:00","updated_at":"2026-07-05T03:24:45.847664+00:00"}