{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:J3STTMCMXRXDLAFD3ZMC6ZAYYM","short_pith_number":"pith:J3STTMCM","schema_version":"1.0","canonical_sha256":"4ee539b04cbc6e3580a3de582f6418c328cb486fea8650d79afd3e431750ac8e","source":{"kind":"arxiv","id":"2407.05119","version":1},"attestation_state":"computed","paper":{"title":"Open-Event Procedure Planning in Instructional Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanlin Wang, Jing Wang, Limin Wang, Yilu Wu","submitted_at":"2024-07-06T16:11:46Z","abstract_excerpt":"Given the current visual observations, the traditional procedure planning task in instructional videos requires a model to generate goal-directed plans within a given action space. All previous methods for this task conduct training and inference under the same action space, and they can only plan for pre-defined events in the training set. We argue this setting is not applicable for human assistance in real lives and aim to propose a more general and practical planning paradigm. Specifically, in this paper, we introduce a new task named Open-event Procedure Planning (OEPP), which extends the "},"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":"2407.05119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-06T16:11:46Z","cross_cats_sorted":[],"title_canon_sha256":"ac5d0ae0c648d8dab7a5af763900ba82a5874fa3156b0988ba05ebc1691371f4","abstract_canon_sha256":"8f063a699e9f483b391ad2e7c9e7baf88e9ab05c737a0b079452bf1b563980c2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:41:08.209095Z","signature_b64":"daJ8TTaJK42XJCpc5im7M2ChvfZrYyZduOs+VZeXOgONwoUC4gLTMM9nQ/ij2hS6Z2alLMFvCZkKxPtyZkLnBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ee539b04cbc6e3580a3de582f6418c328cb486fea8650d79afd3e431750ac8e","last_reissued_at":"2026-07-05T08:41:08.208584Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:41:08.208584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Open-Event Procedure Planning in Instructional Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanlin Wang, Jing Wang, Limin Wang, Yilu Wu","submitted_at":"2024-07-06T16:11:46Z","abstract_excerpt":"Given the current visual observations, the traditional procedure planning task in instructional videos requires a model to generate goal-directed plans within a given action space. All previous methods for this task conduct training and inference under the same action space, and they can only plan for pre-defined events in the training set. We argue this setting is not applicable for human assistance in real lives and aim to propose a more general and practical planning paradigm. Specifically, in this paper, we introduce a new task named Open-event Procedure Planning (OEPP), which extends the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.05119","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/2407.05119/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":"2407.05119","created_at":"2026-07-05T08:41:08.208639+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.05119v1","created_at":"2026-07-05T08:41:08.208639+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.05119","created_at":"2026-07-05T08:41:08.208639+00:00"},{"alias_kind":"pith_short_12","alias_value":"J3STTMCMXRXD","created_at":"2026-07-05T08:41:08.208639+00:00"},{"alias_kind":"pith_short_16","alias_value":"J3STTMCMXRXDLAFD","created_at":"2026-07-05T08:41:08.208639+00:00"},{"alias_kind":"pith_short_8","alias_value":"J3STTMCM","created_at":"2026-07-05T08:41:08.208639+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.19976","citing_title":"RECIPE: Procedural Planning via Grounding in Instructional Video","ref_index":45,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM","json":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM.json","graph_json":"https://pith.science/api/pith-number/J3STTMCMXRXDLAFD3ZMC6ZAYYM/graph.json","events_json":"https://pith.science/api/pith-number/J3STTMCMXRXDLAFD3ZMC6ZAYYM/events.json","paper":"https://pith.science/paper/J3STTMCM"},"agent_actions":{"view_html":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM","download_json":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM.json","view_paper":"https://pith.science/paper/J3STTMCM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.05119&json=true","fetch_graph":"https://pith.science/api/pith-number/J3STTMCMXRXDLAFD3ZMC6ZAYYM/graph.json","fetch_events":"https://pith.science/api/pith-number/J3STTMCMXRXDLAFD3ZMC6ZAYYM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM/action/storage_attestation","attest_author":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM/action/author_attestation","sign_citation":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM/action/citation_signature","submit_replication":"https://pith.science/pith/J3STTMCMXRXDLAFD3ZMC6ZAYYM/action/replication_record"}},"created_at":"2026-07-05T08:41:08.208639+00:00","updated_at":"2026-07-05T08:41:08.208639+00:00"}