{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:T6VEPJV6K2CTUVI5L2WLH4QBST","short_pith_number":"pith:T6VEPJV6","canonical_record":{"source":{"id":"1611.05125","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T02:56:24Z","cross_cats_sorted":[],"title_canon_sha256":"1fb24969bf5e1c8a583318ff04ef10b09d1bedadf4ce181666186535ec2cc13d","abstract_canon_sha256":"c8f5bfa8e2ed8dde11b7ee93a69f6929868c8ec4c4b33a37bf3637b2cd6590e2"},"schema_version":"1.0"},"canonical_sha256":"9faa47a6be56853a551d5eacb3f20194d4f53bc997bf9c43c57cfb3531521925","source":{"kind":"arxiv","id":"1611.05125","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.05125","created_at":"2026-05-18T00:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"1611.05125v3","created_at":"2026-05-18T00:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.05125","created_at":"2026-05-18T00:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"T6VEPJV6K2CT","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"T6VEPJV6K2CTUVI5","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"T6VEPJV6","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:T6VEPJV6K2CTUVI5L2WLH4QBST","target":"record","payload":{"canonical_record":{"source":{"id":"1611.05125","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T02:56:24Z","cross_cats_sorted":[],"title_canon_sha256":"1fb24969bf5e1c8a583318ff04ef10b09d1bedadf4ce181666186535ec2cc13d","abstract_canon_sha256":"c8f5bfa8e2ed8dde11b7ee93a69f6929868c8ec4c4b33a37bf3637b2cd6590e2"},"schema_version":"1.0"},"canonical_sha256":"9faa47a6be56853a551d5eacb3f20194d4f53bc997bf9c43c57cfb3531521925","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:15.808859Z","signature_b64":"pUp/ZPehM01g2I6cRL0kMmTb0wOs/ESBITOvPeE2xPnP6t+2HIGf5riY+ICrX9chDinUNLHSSYGb3XiRg7nHDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9faa47a6be56853a551d5eacb3f20194d4f53bc997bf9c43c57cfb3531521925","last_reissued_at":"2026-05-18T00:44:15.808444Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:15.808444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.05125","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pCOTcAdGXCpLZPqZwB7K37TntP2Mc1NwkSu924/QBE0/PPJ1Rpwu/JVuhhu4rk1/7WSa0YRPJlUOYTVf6d0ZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T08:25:57.531148Z"},"content_sha256":"6c3f6def868ea95f1bae9498f3d1c4c00a8e6529e52c5f31ec362abd08982a16","schema_version":"1.0","event_id":"sha256:6c3f6def868ea95f1bae9498f3d1c4c00a8e6529e52c5f31ec362abd08982a16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:T6VEPJV6K2CTUVI5L2WLH4QBST","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning To Score Olympic Events","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Brendan Tran Morris, Paritosh Parmar","submitted_at":"2016-11-16T02:56:24Z","abstract_excerpt":"Estimating action quality, the process of assigning a \"score\" to the execution of an action, is crucial in areas such as sports and health care. Unlike action recognition, which has millions of examples to learn from, the action quality datasets that are currently available are small -- typically comprised of only a few hundred samples. This work presents three frameworks for evaluating Olympic sports which utilize spatiotemporal features learned using 3D convolutional neural networks (C3D) and perform score regression with i) SVR, ii) LSTM, and iii) LSTM followed by SVR. An efficient training"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.05125","kind":"arxiv","version":3},"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":"2026-05-18T00:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bFuLobhczPtDarM1u+vAwqVvTD3ks+TEuYo77SSte0vUtJtOslIZl3c/AigQVyLbQ6A7d3sEYzaIuYT+BZdGAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T08:25:57.531784Z"},"content_sha256":"19c18e1f34d73d4eb5f48b76b3333b21b2d806eebd8f34be956cad1572f0fecd","schema_version":"1.0","event_id":"sha256:19c18e1f34d73d4eb5f48b76b3333b21b2d806eebd8f34be956cad1572f0fecd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6VEPJV6K2CTUVI5L2WLH4QBST/bundle.json","state_url":"https://pith.science/pith/T6VEPJV6K2CTUVI5L2WLH4QBST/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6VEPJV6K2CTUVI5L2WLH4QBST/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":"2026-06-10T08:25:57Z","links":{"resolver":"https://pith.science/pith/T6VEPJV6K2CTUVI5L2WLH4QBST","bundle":"https://pith.science/pith/T6VEPJV6K2CTUVI5L2WLH4QBST/bundle.json","state":"https://pith.science/pith/T6VEPJV6K2CTUVI5L2WLH4QBST/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6VEPJV6K2CTUVI5L2WLH4QBST/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:T6VEPJV6K2CTUVI5L2WLH4QBST","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":"c8f5bfa8e2ed8dde11b7ee93a69f6929868c8ec4c4b33a37bf3637b2cd6590e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T02:56:24Z","title_canon_sha256":"1fb24969bf5e1c8a583318ff04ef10b09d1bedadf4ce181666186535ec2cc13d"},"schema_version":"1.0","source":{"id":"1611.05125","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.05125","created_at":"2026-05-18T00:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"1611.05125v3","created_at":"2026-05-18T00:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.05125","created_at":"2026-05-18T00:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"T6VEPJV6K2CT","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"T6VEPJV6K2CTUVI5","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"T6VEPJV6","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:19c18e1f34d73d4eb5f48b76b3333b21b2d806eebd8f34be956cad1572f0fecd","target":"graph","created_at":"2026-05-18T00:44:15Z","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":"Estimating action quality, the process of assigning a \"score\" to the execution of an action, is crucial in areas such as sports and health care. Unlike action recognition, which has millions of examples to learn from, the action quality datasets that are currently available are small -- typically comprised of only a few hundred samples. This work presents three frameworks for evaluating Olympic sports which utilize spatiotemporal features learned using 3D convolutional neural networks (C3D) and perform score regression with i) SVR, ii) LSTM, and iii) LSTM followed by SVR. An efficient training","authors_text":"Brendan Tran Morris, Paritosh Parmar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T02:56:24Z","title":"Learning To Score Olympic Events"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.05125","kind":"arxiv","version":3},"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":"sha256:6c3f6def868ea95f1bae9498f3d1c4c00a8e6529e52c5f31ec362abd08982a16","target":"record","created_at":"2026-05-18T00:44:15Z","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":"c8f5bfa8e2ed8dde11b7ee93a69f6929868c8ec4c4b33a37bf3637b2cd6590e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-11-16T02:56:24Z","title_canon_sha256":"1fb24969bf5e1c8a583318ff04ef10b09d1bedadf4ce181666186535ec2cc13d"},"schema_version":"1.0","source":{"id":"1611.05125","kind":"arxiv","version":3}},"canonical_sha256":"9faa47a6be56853a551d5eacb3f20194d4f53bc997bf9c43c57cfb3531521925","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9faa47a6be56853a551d5eacb3f20194d4f53bc997bf9c43c57cfb3531521925","first_computed_at":"2026-05-18T00:44:15.808444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:15.808444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pUp/ZPehM01g2I6cRL0kMmTb0wOs/ESBITOvPeE2xPnP6t+2HIGf5riY+ICrX9chDinUNLHSSYGb3XiRg7nHDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:15.808859Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.05125","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c3f6def868ea95f1bae9498f3d1c4c00a8e6529e52c5f31ec362abd08982a16","sha256:19c18e1f34d73d4eb5f48b76b3333b21b2d806eebd8f34be956cad1572f0fecd"],"state_sha256":"da30429fe77721229cb6c7c834be9b9aaa7505047e8f954929a0ae526f3266d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J/RLg6XBXc8sk/IBFsK9rqqf7f9Tmcs8/Co430NtzGjEXbdMCeemFZ9UWPHRex9JzQNucpjAkeLpsu85snKnBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T08:25:57.535731Z","bundle_sha256":"43b3c81482eea9506fed41b4d4cc6f8005590a165e2861af3fc8ebf4cbcf5c9d"}}