{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WCBNEV3S5VRTI6SUEIHD7CDCR3","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e0680bf36ee04df7370d5311f28d08cad19fafed71752bad040262af22d0b336","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-14T16:00:03Z","title_canon_sha256":"9a08f41ce67e5e6bc532847ef8838c1f448dcef828656c5c3d78eec35798f1d3"},"schema_version":"1.0","source":{"id":"2305.08191","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08191","created_at":"2026-07-05T06:09:58Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08191v1","created_at":"2026-07-05T06:09:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08191","created_at":"2026-07-05T06:09:58Z"},{"alias_kind":"pith_short_12","alias_value":"WCBNEV3S5VRT","created_at":"2026-07-05T06:09:58Z"},{"alias_kind":"pith_short_16","alias_value":"WCBNEV3S5VRTI6SU","created_at":"2026-07-05T06:09:58Z"},{"alias_kind":"pith_short_8","alias_value":"WCBNEV3S","created_at":"2026-07-05T06:09:58Z"}],"graph_snapshots":[{"event_id":"sha256:62c8a52007c25c2481c39b16d3622b3c3ebb6f7c05d36122287c4e73e30f1368","target":"graph","created_at":"2026-07-05T06:09:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.08191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"End-to-end learning has taken hold of many computer vision tasks, in particular, related to still images, with task-specific optimization yielding very strong performance. Nevertheless, human-centric action recognition is still largely dominated by hand-crafted pipelines, and only individual components are replaced by neural networks that typically operate on individual frames. As a testbed to study the relevance of such pipelines, we present a new fully annotated video dataset of fitness activities. Any recognition capabilities in this domain are almost exclusively a function of human poses a","authors_text":"Antoine Mercier, Cornelius Boehm, Florian Letsch, Guillaume Berger, Ingo Bax, Nahua Kang, Roland Memisevic, Sunny Panchal","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-14T16:00:03Z","title":"Is end-to-end learning enough for fitness activity recognition?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08191","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4511def6ab0440291acb5f7d6ad209204fc6952ec69b211fe2d3f033f6e89ef5","target":"record","created_at":"2026-07-05T06:09:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e0680bf36ee04df7370d5311f28d08cad19fafed71752bad040262af22d0b336","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-14T16:00:03Z","title_canon_sha256":"9a08f41ce67e5e6bc532847ef8838c1f448dcef828656c5c3d78eec35798f1d3"},"schema_version":"1.0","source":{"id":"2305.08191","kind":"arxiv","version":1}},"canonical_sha256":"b082d25772ed63347a54220e3f88628ec8ecf011ebb92cf0546cb7138da7de9e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b082d25772ed63347a54220e3f88628ec8ecf011ebb92cf0546cb7138da7de9e","first_computed_at":"2026-07-05T06:09:58.630600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:09:58.630600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cqeipiLBel5CMsoyWeTXB7EWCvCdmf8pEAawd/MBVTHL4ZDdzWqAo0KOe6+Ma0o6zhRf7/lbISPcZJm+gA3qCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:09:58.631038Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.08191","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4511def6ab0440291acb5f7d6ad209204fc6952ec69b211fe2d3f033f6e89ef5","sha256:62c8a52007c25c2481c39b16d3622b3c3ebb6f7c05d36122287c4e73e30f1368"],"state_sha256":"fdd428bb94111c2743ec83e905ee1cf58f3e253d2b37df0b4d51b597c1d9da32"}