{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:4FDXMYRXZ7KLGD5QH6PHLZ4IKY","short_pith_number":"pith:4FDXMYRX","canonical_record":{"source":{"id":"1904.04346","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-08T20:43:52Z","cross_cats_sorted":[],"title_canon_sha256":"eeefe34187b11b9f176207fee7cb8930ac1d610fbb6686bf697dc22b4b1a49b0","abstract_canon_sha256":"2166e70ffd868a440c8583c5ada793e8d5a092733184eeb927b1266a704393d3"},"schema_version":"1.0"},"canonical_sha256":"e147766237cfd4b30fb03f9e75e78856265fa781d88f3058543f08ec0ae128c5","source":{"kind":"arxiv","id":"1904.04346","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04346","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04346v2","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04346","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"pith_short_12","alias_value":"4FDXMYRXZ7KL","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4FDXMYRXZ7KLGD5Q","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4FDXMYRX","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:4FDXMYRXZ7KLGD5QH6PHLZ4IKY","target":"record","payload":{"canonical_record":{"source":{"id":"1904.04346","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-08T20:43:52Z","cross_cats_sorted":[],"title_canon_sha256":"eeefe34187b11b9f176207fee7cb8930ac1d610fbb6686bf697dc22b4b1a49b0","abstract_canon_sha256":"2166e70ffd868a440c8583c5ada793e8d5a092733184eeb927b1266a704393d3"},"schema_version":"1.0"},"canonical_sha256":"e147766237cfd4b30fb03f9e75e78856265fa781d88f3058543f08ec0ae128c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:23.047769Z","signature_b64":"Z4QTancyH1x2oWUbYQAD6UUC2Ldb28ttFdjIThKFE3MHVg20d0cothChhboq5CspNKAJq6HXHAJkT5mnuOQEBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e147766237cfd4b30fb03f9e75e78856265fa781d88f3058543f08ec0ae128c5","last_reissued_at":"2026-05-17T23:43:23.047088Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:23.047088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.04346","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vZH+WDs/gZ97/UHJPcsVjzS/R1ffqJ66jfd+dcO15eoXUdCueQu3A1VKXnbNvFD9hmKh8yR2TkYJgWgCLjuhBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T07:05:07.556166Z"},"content_sha256":"8550a5fb4022ea37114dd7a9dd903382629cb01241916a467686033b577891ac","schema_version":"1.0","event_id":"sha256:8550a5fb4022ea37114dd7a9dd903382629cb01241916a467686033b577891ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:4FDXMYRXZ7KLGD5QH6PHLZ4IKY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Brendan Tran Morris, Paritosh Parmar","submitted_at":"2019-04-08T20:43:52Z","abstract_excerpt":"Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality? Current AQA and skills assessment approaches propose to learn features that serve only one task - estimating the final score. In this paper, we propose to learn spatio-temporal features that explain three related tasks - fine-grained action recognition, commentary generation, and estimating the AQA score. A new multitask-AQA dataset, the largest to date, comprising of 1412 diving samples was collected to evaluate our approach (https://github.com/ParitoshParmar/M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04346","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1rwjrBDXaXNDhzsvIEjjdRl6+Q/cVXfQ91k0FNAdR6qRpdCeLS1knRacne8GcE4uqivtGSHa8i/UKAXgzMyQAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T07:05:07.556968Z"},"content_sha256":"aa9d80c988afe6a7bfd12939fb8f958515baae972ee1c5fe07ebf18fe98244ea","schema_version":"1.0","event_id":"sha256:aa9d80c988afe6a7bfd12939fb8f958515baae972ee1c5fe07ebf18fe98244ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY/bundle.json","state_url":"https://pith.science/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-10T07:05:07Z","links":{"resolver":"https://pith.science/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY","bundle":"https://pith.science/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY/bundle.json","state":"https://pith.science/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4FDXMYRXZ7KLGD5QH6PHLZ4IKY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4FDXMYRXZ7KLGD5QH6PHLZ4IKY","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":"2166e70ffd868a440c8583c5ada793e8d5a092733184eeb927b1266a704393d3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-08T20:43:52Z","title_canon_sha256":"eeefe34187b11b9f176207fee7cb8930ac1d610fbb6686bf697dc22b4b1a49b0"},"schema_version":"1.0","source":{"id":"1904.04346","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04346","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04346v2","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04346","created_at":"2026-05-17T23:43:23Z"},{"alias_kind":"pith_short_12","alias_value":"4FDXMYRXZ7KL","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4FDXMYRXZ7KLGD5Q","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4FDXMYRX","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:aa9d80c988afe6a7bfd12939fb8f958515baae972ee1c5fe07ebf18fe98244ea","target":"graph","created_at":"2026-05-17T23:43:23Z","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"},"paper":{"abstract_excerpt":"Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality? Current AQA and skills assessment approaches propose to learn features that serve only one task - estimating the final score. In this paper, we propose to learn spatio-temporal features that explain three related tasks - fine-grained action recognition, commentary generation, and estimating the AQA score. A new multitask-AQA dataset, the largest to date, comprising of 1412 diving samples was collected to evaluate our approach (https://github.com/ParitoshParmar/M","authors_text":"Brendan Tran Morris, Paritosh Parmar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-08T20:43:52Z","title":"What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04346","kind":"arxiv","version":2},"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":"sha256:8550a5fb4022ea37114dd7a9dd903382629cb01241916a467686033b577891ac","target":"record","created_at":"2026-05-17T23:43:23Z","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":"2166e70ffd868a440c8583c5ada793e8d5a092733184eeb927b1266a704393d3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-04-08T20:43:52Z","title_canon_sha256":"eeefe34187b11b9f176207fee7cb8930ac1d610fbb6686bf697dc22b4b1a49b0"},"schema_version":"1.0","source":{"id":"1904.04346","kind":"arxiv","version":2}},"canonical_sha256":"e147766237cfd4b30fb03f9e75e78856265fa781d88f3058543f08ec0ae128c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e147766237cfd4b30fb03f9e75e78856265fa781d88f3058543f08ec0ae128c5","first_computed_at":"2026-05-17T23:43:23.047088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:23.047088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z4QTancyH1x2oWUbYQAD6UUC2Ldb28ttFdjIThKFE3MHVg20d0cothChhboq5CspNKAJq6HXHAJkT5mnuOQEBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:23.047769Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04346","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8550a5fb4022ea37114dd7a9dd903382629cb01241916a467686033b577891ac","sha256:aa9d80c988afe6a7bfd12939fb8f958515baae972ee1c5fe07ebf18fe98244ea"],"state_sha256":"c78824c3c2b6a4d09aaf7dfc674f1664d882c1ccce7969a0b5c2eeabda1955e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7oiMCBTtId6zzbeKd+Zc0S1P6FczkbmYS07aI44iuqVvNbsrVLdW5CEF3f5Y4AMmIMBVNz9+WWPmqzXZEnj+Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T07:05:07.561289Z","bundle_sha256":"889776f1c0d1ad10db3db85ff8142685a337904b68c952309582d4107e6357ce"}}