{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:IYH3PL6ICFHR4SNC5XUCYLQ6AU","short_pith_number":"pith:IYH3PL6I","schema_version":"1.0","canonical_sha256":"460fb7afc8114f1e49a2ede82c2e1e053d72bfec993554b3cd1544270bc997c8","source":{"kind":"arxiv","id":"1905.08928","version":2},"attestation_state":"computed","paper":{"title":"On Wormald's differential equation method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DM","math.PR"],"primary_cat":"math.CO","authors_text":"Lutz Warnke","submitted_at":"2019-05-22T02:33:45Z","abstract_excerpt":"This note contains a short and simple proof of Wormald's differential equation method (that yields slightly improved approximation guarantees and error probabilities). This powerful method uses differential equations to approximate the time-evolution/dynamics of random processes and algorithms."},"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":"1905.08928","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.CO","submitted_at":"2019-05-22T02:33:45Z","cross_cats_sorted":["cs.DM","math.PR"],"title_canon_sha256":"dcbe89d19acc578029f76a2ab26d59577d5fa4ee1872fb090d30128e38f8f785","abstract_canon_sha256":"a1bfb0d7f6049073065185cc0c456b6680d2d90682f0201f87b061024a9a0cd1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:14.299248Z","signature_b64":"oMWMDNLyuPVbxk22JaJ4uKdj2yE7PoJCo1KNVJyRXK1mdMeAHKFf6DItxQEPKU3PVwZJRAKXPjQ/GEFQwQGfBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"460fb7afc8114f1e49a2ede82c2e1e053d72bfec993554b3cd1544270bc997c8","last_reissued_at":"2026-05-17T23:43:14.298724Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:14.298724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On Wormald's differential equation method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DM","math.PR"],"primary_cat":"math.CO","authors_text":"Lutz Warnke","submitted_at":"2019-05-22T02:33:45Z","abstract_excerpt":"This note contains a short and simple proof of Wormald's differential equation method (that yields slightly improved approximation guarantees and error probabilities). This powerful method uses differential equations to approximate the time-evolution/dynamics of random processes and algorithms."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.08928","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":""},"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":"1905.08928","created_at":"2026-05-17T23:43:14.298806+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.08928v2","created_at":"2026-05-17T23:43:14.298806+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.08928","created_at":"2026-05-17T23:43:14.298806+00:00"},{"alias_kind":"pith_short_12","alias_value":"IYH3PL6ICFHR","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"IYH3PL6ICFHR4SNC","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"IYH3PL6I","created_at":"2026-05-18T12:33:18.533446+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.04921","citing_title":"Online matching on stochastic block model","ref_index":43,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU","json":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU.json","graph_json":"https://pith.science/api/pith-number/IYH3PL6ICFHR4SNC5XUCYLQ6AU/graph.json","events_json":"https://pith.science/api/pith-number/IYH3PL6ICFHR4SNC5XUCYLQ6AU/events.json","paper":"https://pith.science/paper/IYH3PL6I"},"agent_actions":{"view_html":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU","download_json":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU.json","view_paper":"https://pith.science/paper/IYH3PL6I","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.08928&json=true","fetch_graph":"https://pith.science/api/pith-number/IYH3PL6ICFHR4SNC5XUCYLQ6AU/graph.json","fetch_events":"https://pith.science/api/pith-number/IYH3PL6ICFHR4SNC5XUCYLQ6AU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU/action/storage_attestation","attest_author":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU/action/author_attestation","sign_citation":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU/action/citation_signature","submit_replication":"https://pith.science/pith/IYH3PL6ICFHR4SNC5XUCYLQ6AU/action/replication_record"}},"created_at":"2026-05-17T23:43:14.298806+00:00","updated_at":"2026-05-17T23:43:14.298806+00:00"}