{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZQMMKWYYFBP5PFL5XWGDPKII2H","short_pith_number":"pith:ZQMMKWYY","schema_version":"1.0","canonical_sha256":"cc18c55b18285fd7957dbd8c37a908d1efa02a0a29902d772adb1a8db0ce92fd","source":{"kind":"arxiv","id":"2605.24496","version":1},"attestation_state":"computed","paper":{"title":"EgoAction: Egocentric Action Composition with Reliability-Aware Temporal Fusion for the EPIC-KITCHENS Action Detection Challenge at CVPR 2026","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangxu Liu, Liqiang Nie, Weili Guan, Yupeng Hu, Zhiheng Fu, Zhiwei Chen, Zixu Li","submitted_at":"2026-05-23T10:05:56Z","abstract_excerpt":"The EPIC-KITCHENS-100 Action Detection challenge evaluates whether a model can localize the start and end of each action in long untrimmed egocentric videos and assign the corresponding verb--noun action label. In this report, we formulate our submission as EgoAction (Egocentric Action Composition with Reliability-Aware Temporal Fusion), a unified decoupled detection and fusion pipeline. The pipeline uses EPIC-finetuned VideoMAE-L features, trains separate noun and verb temporal detectors with causal temporal modeling, composes action hypotheses from top noun--verb pairs, and introduces a conf"},"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":"2605.24496","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-23T10:05:56Z","cross_cats_sorted":[],"title_canon_sha256":"99aaef12d7705886665691a99f29fc6a84bd894ba63fe7aca9717acd1bafbed5","abstract_canon_sha256":"67a8ff8a07add98dcb89e77702a2e0e6c0f7f3cf0734417d922acdaf606eec57"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:42.939361Z","signature_b64":"SJVP1PXZxavL6rvjIZWgHzoK8W4IteJKxQUxYgXscsv03pJWITIiPLJPPrx6CQTeTiqQXeG1o9WuEjYyRL23BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc18c55b18285fd7957dbd8c37a908d1efa02a0a29902d772adb1a8db0ce92fd","last_reissued_at":"2026-05-26T01:03:42.938712Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:42.938712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EgoAction: Egocentric Action Composition with Reliability-Aware Temporal Fusion for the EPIC-KITCHENS Action Detection Challenge at CVPR 2026","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangxu Liu, Liqiang Nie, Weili Guan, Yupeng Hu, Zhiheng Fu, Zhiwei Chen, Zixu Li","submitted_at":"2026-05-23T10:05:56Z","abstract_excerpt":"The EPIC-KITCHENS-100 Action Detection challenge evaluates whether a model can localize the start and end of each action in long untrimmed egocentric videos and assign the corresponding verb--noun action label. In this report, we formulate our submission as EgoAction (Egocentric Action Composition with Reliability-Aware Temporal Fusion), a unified decoupled detection and fusion pipeline. The pipeline uses EPIC-finetuned VideoMAE-L features, trains separate noun and verb temporal detectors with causal temporal modeling, composes action hypotheses from top noun--verb pairs, and introduces a conf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24496","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/2605.24496/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":"2605.24496","created_at":"2026-05-26T01:03:42.938820+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.24496v1","created_at":"2026-05-26T01:03:42.938820+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24496","created_at":"2026-05-26T01:03:42.938820+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZQMMKWYYFBP5","created_at":"2026-05-26T01:03:42.938820+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZQMMKWYYFBP5PFL5","created_at":"2026-05-26T01:03:42.938820+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZQMMKWYY","created_at":"2026-05-26T01:03:42.938820+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/ZQMMKWYYFBP5PFL5XWGDPKII2H","json":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H.json","graph_json":"https://pith.science/api/pith-number/ZQMMKWYYFBP5PFL5XWGDPKII2H/graph.json","events_json":"https://pith.science/api/pith-number/ZQMMKWYYFBP5PFL5XWGDPKII2H/events.json","paper":"https://pith.science/paper/ZQMMKWYY"},"agent_actions":{"view_html":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H","download_json":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H.json","view_paper":"https://pith.science/paper/ZQMMKWYY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.24496&json=true","fetch_graph":"https://pith.science/api/pith-number/ZQMMKWYYFBP5PFL5XWGDPKII2H/graph.json","fetch_events":"https://pith.science/api/pith-number/ZQMMKWYYFBP5PFL5XWGDPKII2H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H/action/storage_attestation","attest_author":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H/action/author_attestation","sign_citation":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H/action/citation_signature","submit_replication":"https://pith.science/pith/ZQMMKWYYFBP5PFL5XWGDPKII2H/action/replication_record"}},"created_at":"2026-05-26T01:03:42.938820+00:00","updated_at":"2026-05-26T01:03:42.938820+00:00"}