{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:K32VR5RRD4RT5LN7VLLBCCV5H7","short_pith_number":"pith:K32VR5RR","schema_version":"1.0","canonical_sha256":"56f558f6311f233eadbfaad6110abd3fea02becf59f51b81f3227e9d9ebcdc14","source":{"kind":"arxiv","id":"2508.05529","version":1},"attestation_state":"computed","paper":{"title":"Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Emad Bahrami, Federico Spurio, Gianpiero Francesca, Juergen Gall, Olga Zatsarynna, Yazan Abu Farha","submitted_at":"2025-08-07T16:00:00Z","abstract_excerpt":"We introduce Action Discovery, a novel setup within Temporal Action Segmentation that addresses the challenge of defining and annotating ambiguous actions and incomplete annotations in partially labeled datasets. In this setup, only a subset of actions - referred to as known actions - is annotated in the training data, while other unknown actions remain unlabeled. This scenario is particularly relevant in domains like neuroscience, where well-defined behaviors (e.g., walking, eating) coexist with subtle or infrequent actions that are often overlooked, as well as in applications where datasets "},"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":"2508.05529","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-07T16:00:00Z","cross_cats_sorted":[],"title_canon_sha256":"fcaa536fd726e8b63a2469559686c0c343fc8f65222d1d4c3a1cad8d549eba6f","abstract_canon_sha256":"d229842024850b2d101db90963949be77546de67583967245b128ac122f127f2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:14.915977Z","signature_b64":"NOIgH6J0zLX1Q7Hmf2OywweGtmUt90rzLSm/V8aktXQXo6ge/2Hul02svF4CvtQS12Vjc8QThpdVHhcFJxbRBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56f558f6311f233eadbfaad6110abd3fea02becf59f51b81f3227e9d9ebcdc14","last_reissued_at":"2026-07-05T11:50:14.915488Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:14.915488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Emad Bahrami, Federico Spurio, Gianpiero Francesca, Juergen Gall, Olga Zatsarynna, Yazan Abu Farha","submitted_at":"2025-08-07T16:00:00Z","abstract_excerpt":"We introduce Action Discovery, a novel setup within Temporal Action Segmentation that addresses the challenge of defining and annotating ambiguous actions and incomplete annotations in partially labeled datasets. In this setup, only a subset of actions - referred to as known actions - is annotated in the training data, while other unknown actions remain unlabeled. This scenario is particularly relevant in domains like neuroscience, where well-defined behaviors (e.g., walking, eating) coexist with subtle or infrequent actions that are often overlooked, as well as in applications where datasets "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.05529","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/2508.05529/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":"2508.05529","created_at":"2026-07-05T11:50:14.915543+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.05529v1","created_at":"2026-07-05T11:50:14.915543+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.05529","created_at":"2026-07-05T11:50:14.915543+00:00"},{"alias_kind":"pith_short_12","alias_value":"K32VR5RRD4RT","created_at":"2026-07-05T11:50:14.915543+00:00"},{"alias_kind":"pith_short_16","alias_value":"K32VR5RRD4RT5LN7","created_at":"2026-07-05T11:50:14.915543+00:00"},{"alias_kind":"pith_short_8","alias_value":"K32VR5RR","created_at":"2026-07-05T11:50:14.915543+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/K32VR5RRD4RT5LN7VLLBCCV5H7","json":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7.json","graph_json":"https://pith.science/api/pith-number/K32VR5RRD4RT5LN7VLLBCCV5H7/graph.json","events_json":"https://pith.science/api/pith-number/K32VR5RRD4RT5LN7VLLBCCV5H7/events.json","paper":"https://pith.science/paper/K32VR5RR"},"agent_actions":{"view_html":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7","download_json":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7.json","view_paper":"https://pith.science/paper/K32VR5RR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.05529&json=true","fetch_graph":"https://pith.science/api/pith-number/K32VR5RRD4RT5LN7VLLBCCV5H7/graph.json","fetch_events":"https://pith.science/api/pith-number/K32VR5RRD4RT5LN7VLLBCCV5H7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7/action/storage_attestation","attest_author":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7/action/author_attestation","sign_citation":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7/action/citation_signature","submit_replication":"https://pith.science/pith/K32VR5RRD4RT5LN7VLLBCCV5H7/action/replication_record"}},"created_at":"2026-07-05T11:50:14.915543+00:00","updated_at":"2026-07-05T11:50:14.915543+00:00"}