{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:ZBEBHHHLWYPI3JV6SW4SYFL4H5","short_pith_number":"pith:ZBEBHHHL","schema_version":"1.0","canonical_sha256":"c848139cebb61e8da6be95b92c157c3f4399db9b18fe142455b64def3da72d94","source":{"kind":"arxiv","id":"2005.00463","version":1},"attestation_state":"computed","paper":{"title":"HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.AI","authors_text":"George Awad, Ian Soboroff, Keith Curtis, Shahzad Rajput","submitted_at":"2020-05-01T15:58:13Z","abstract_excerpt":"In this paper we propose a new evaluation challenge and direction in the area of High-level Video Understanding. The challenge we are proposing is designed to test automatic video analysis and understanding, and how accurately systems can comprehend a movie in terms of actors, entities, events and their relationship to each other. A pilot High-Level Video Understanding (HLVU) dataset of open source movies were collected for human assessors to build a knowledge graph representing each of them. A set of queries will be derived from the knowledge graph to test systems on retrieving relationships "},"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":"2005.00463","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-05-01T15:58:13Z","cross_cats_sorted":["cs.CL","cs.CV"],"title_canon_sha256":"e4c9756377f4c3ecdd31c66aadc079bba4d10c8751c3eaf6a4d1ae6f6dc86997","abstract_canon_sha256":"466d55231e1a7318a8cc8d7ffa6a7b4bfdf3b0fde24333383c2cb6dcf5bbadce"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:34:53.527388Z","signature_b64":"wiRVXn36EjMsMwL/FPx+z0bA/NdFXOXMu4cni+zg6m8ALwb7ZmYi9youGDQw4IY2Iw68eIDR4pjNql0Pi/QKCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c848139cebb61e8da6be95b92c157c3f4399db9b18fe142455b64def3da72d94","last_reissued_at":"2026-07-05T01:34:53.526959Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:34:53.526959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV"],"primary_cat":"cs.AI","authors_text":"George Awad, Ian Soboroff, Keith Curtis, Shahzad Rajput","submitted_at":"2020-05-01T15:58:13Z","abstract_excerpt":"In this paper we propose a new evaluation challenge and direction in the area of High-level Video Understanding. The challenge we are proposing is designed to test automatic video analysis and understanding, and how accurately systems can comprehend a movie in terms of actors, entities, events and their relationship to each other. A pilot High-Level Video Understanding (HLVU) dataset of open source movies were collected for human assessors to build a knowledge graph representing each of them. A set of queries will be derived from the knowledge graph to test systems on retrieving relationships "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00463","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.00463/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":"2005.00463","created_at":"2026-07-05T01:34:53.527015+00:00"},{"alias_kind":"arxiv_version","alias_value":"2005.00463v1","created_at":"2026-07-05T01:34:53.527015+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00463","created_at":"2026-07-05T01:34:53.527015+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZBEBHHHLWYPI","created_at":"2026-07-05T01:34:53.527015+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZBEBHHHLWYPI3JV6","created_at":"2026-07-05T01:34:53.527015+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZBEBHHHL","created_at":"2026-07-05T01:34:53.527015+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/ZBEBHHHLWYPI3JV6SW4SYFL4H5","json":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5.json","graph_json":"https://pith.science/api/pith-number/ZBEBHHHLWYPI3JV6SW4SYFL4H5/graph.json","events_json":"https://pith.science/api/pith-number/ZBEBHHHLWYPI3JV6SW4SYFL4H5/events.json","paper":"https://pith.science/paper/ZBEBHHHL"},"agent_actions":{"view_html":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5","download_json":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5.json","view_paper":"https://pith.science/paper/ZBEBHHHL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2005.00463&json=true","fetch_graph":"https://pith.science/api/pith-number/ZBEBHHHLWYPI3JV6SW4SYFL4H5/graph.json","fetch_events":"https://pith.science/api/pith-number/ZBEBHHHLWYPI3JV6SW4SYFL4H5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5/action/storage_attestation","attest_author":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5/action/author_attestation","sign_citation":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5/action/citation_signature","submit_replication":"https://pith.science/pith/ZBEBHHHLWYPI3JV6SW4SYFL4H5/action/replication_record"}},"created_at":"2026-07-05T01:34:53.527015+00:00","updated_at":"2026-07-05T01:34:53.527015+00:00"}