{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:7SQWLHZ5WSKYS55SBAS3PGOUUE","short_pith_number":"pith:7SQWLHZ5","schema_version":"1.0","canonical_sha256":"fca1659f3db4958977b20825b799d4a1137ee8af8334818be997265a00afddb3","source":{"kind":"arxiv","id":"1711.06498","version":1},"attestation_state":"computed","paper":{"title":"Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anders Drachen, Florian Block, Nick Sephton, Peter Cowling, Sam Devlin, Victoria Hodge","submitted_at":"2017-11-17T11:18:31Z","abstract_excerpt":"Esports has emerged as a popular genre for players as well as spectators, supporting a global entertainment industry. Esports analytics has evolved to address the requirement for data-driven feedback, and is focused on cyber-athlete evaluation, strategy and prediction. Towards the latter, previous work has used match data from a variety of player ranks from hobbyist to professional players. However, professional players have been shown to behave differently than lower ranked players. Given the comparatively limited supply of professional data, a key question is thus whether mixed-rank match da"},"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":"1711.06498","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2017-11-17T11:18:31Z","cross_cats_sorted":[],"title_canon_sha256":"3a082a56dc00f2f58c5dcb7b177dd1622e344c69a6b79b542210fbdd9328bcfc","abstract_canon_sha256":"b1317f15cab342904de3a7446c521195635e00e8bb600917c951f0788209dcf8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:20.932086Z","signature_b64":"EMVygAbeVk55k6OQVvW4z9mzFZhDJqO6kC+B2J4wG+4lUjRZCIK1TUiBFNgqeKBqNIV5fcOV0dGYzPvuQqU9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fca1659f3db4958977b20825b799d4a1137ee8af8334818be997265a00afddb3","last_reissued_at":"2026-05-18T00:30:20.931379Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:20.931379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Win Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anders Drachen, Florian Block, Nick Sephton, Peter Cowling, Sam Devlin, Victoria Hodge","submitted_at":"2017-11-17T11:18:31Z","abstract_excerpt":"Esports has emerged as a popular genre for players as well as spectators, supporting a global entertainment industry. Esports analytics has evolved to address the requirement for data-driven feedback, and is focused on cyber-athlete evaluation, strategy and prediction. Towards the latter, previous work has used match data from a variety of player ranks from hobbyist to professional players. However, professional players have been shown to behave differently than lower ranked players. Given the comparatively limited supply of professional data, a key question is thus whether mixed-rank match da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06498","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":"1711.06498","created_at":"2026-05-18T00:30:20.931487+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.06498v1","created_at":"2026-05-18T00:30:20.931487+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06498","created_at":"2026-05-18T00:30:20.931487+00:00"},{"alias_kind":"pith_short_12","alias_value":"7SQWLHZ5WSKY","created_at":"2026-05-18T12:31:05.417338+00:00"},{"alias_kind":"pith_short_16","alias_value":"7SQWLHZ5WSKYS55S","created_at":"2026-05-18T12:31:05.417338+00:00"},{"alias_kind":"pith_short_8","alias_value":"7SQWLHZ5","created_at":"2026-05-18T12:31:05.417338+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/7SQWLHZ5WSKYS55SBAS3PGOUUE","json":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE.json","graph_json":"https://pith.science/api/pith-number/7SQWLHZ5WSKYS55SBAS3PGOUUE/graph.json","events_json":"https://pith.science/api/pith-number/7SQWLHZ5WSKYS55SBAS3PGOUUE/events.json","paper":"https://pith.science/paper/7SQWLHZ5"},"agent_actions":{"view_html":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE","download_json":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE.json","view_paper":"https://pith.science/paper/7SQWLHZ5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.06498&json=true","fetch_graph":"https://pith.science/api/pith-number/7SQWLHZ5WSKYS55SBAS3PGOUUE/graph.json","fetch_events":"https://pith.science/api/pith-number/7SQWLHZ5WSKYS55SBAS3PGOUUE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE/action/storage_attestation","attest_author":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE/action/author_attestation","sign_citation":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE/action/citation_signature","submit_replication":"https://pith.science/pith/7SQWLHZ5WSKYS55SBAS3PGOUUE/action/replication_record"}},"created_at":"2026-05-18T00:30:20.931487+00:00","updated_at":"2026-05-18T00:30:20.931487+00:00"}