{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:BP6SADYFGXGL65GPJYHPLVU5NZ","short_pith_number":"pith:BP6SADYF","schema_version":"1.0","canonical_sha256":"0bfd200f0535ccbf74cf4e0ef5d69d6e4e2ad1ac1d4fc9e23dadc6904e4eb4fe","source":{"kind":"arxiv","id":"1906.11877","version":1},"attestation_state":"computed","paper":{"title":"Making CNNs for Video Parsing Accessible","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Mark Riedl, Matthew Guzdial, Zijin Luo","submitted_at":"2019-06-10T16:00:40Z","abstract_excerpt":"The ability to extract sequences of game events for high-resolution e-sport games has traditionally required access to the game's engine. This serves as a barrier to groups who don't possess this access. It is possible to apply deep learning to derive these logs from gameplay video, but it requires computational power that serves as an additional barrier. These groups would benefit from access to these logs, such as small e-sport tournament organizers who could better visualize gameplay to inform both audience and commentators. In this paper we present a combined solution to reduce the require"},"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":"1906.11877","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T16:00:40Z","cross_cats_sorted":["cs.AI","cs.LG","eess.IV"],"title_canon_sha256":"f9adebf47971bf6e2280df70fa694acb468ef6e74604e2c6a4aae94356216107","abstract_canon_sha256":"fc80e3f074753cc79107e43af75df90997548915dbdab43b8f0ad7a533343796"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:01.793059Z","signature_b64":"PlPw13mjZhDsNzF/No2sfRlNaPyEC7iCSkijyotD1Vl97OB7Jx1VmydeH0FkDsxpr/GLcvm0Qp+k0ceshzY3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0bfd200f0535ccbf74cf4e0ef5d69d6e4e2ad1ac1d4fc9e23dadc6904e4eb4fe","last_reissued_at":"2026-05-17T23:42:01.792408Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:01.792408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Making CNNs for Video Parsing Accessible","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Mark Riedl, Matthew Guzdial, Zijin Luo","submitted_at":"2019-06-10T16:00:40Z","abstract_excerpt":"The ability to extract sequences of game events for high-resolution e-sport games has traditionally required access to the game's engine. This serves as a barrier to groups who don't possess this access. It is possible to apply deep learning to derive these logs from gameplay video, but it requires computational power that serves as an additional barrier. These groups would benefit from access to these logs, such as small e-sport tournament organizers who could better visualize gameplay to inform both audience and commentators. In this paper we present a combined solution to reduce the require"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11877","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":"1906.11877","created_at":"2026-05-17T23:42:01.792498+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.11877v1","created_at":"2026-05-17T23:42:01.792498+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11877","created_at":"2026-05-17T23:42:01.792498+00:00"},{"alias_kind":"pith_short_12","alias_value":"BP6SADYFGXGL","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_16","alias_value":"BP6SADYFGXGL65GP","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_8","alias_value":"BP6SADYF","created_at":"2026-05-18T12:33:12.712433+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/BP6SADYFGXGL65GPJYHPLVU5NZ","json":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ.json","graph_json":"https://pith.science/api/pith-number/BP6SADYFGXGL65GPJYHPLVU5NZ/graph.json","events_json":"https://pith.science/api/pith-number/BP6SADYFGXGL65GPJYHPLVU5NZ/events.json","paper":"https://pith.science/paper/BP6SADYF"},"agent_actions":{"view_html":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ","download_json":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ.json","view_paper":"https://pith.science/paper/BP6SADYF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.11877&json=true","fetch_graph":"https://pith.science/api/pith-number/BP6SADYFGXGL65GPJYHPLVU5NZ/graph.json","fetch_events":"https://pith.science/api/pith-number/BP6SADYFGXGL65GPJYHPLVU5NZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ/action/storage_attestation","attest_author":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ/action/author_attestation","sign_citation":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ/action/citation_signature","submit_replication":"https://pith.science/pith/BP6SADYFGXGL65GPJYHPLVU5NZ/action/replication_record"}},"created_at":"2026-05-17T23:42:01.792498+00:00","updated_at":"2026-05-17T23:42:01.792498+00:00"}