{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:UOVPNQHGHDH6EITTT4323O474O","short_pith_number":"pith:UOVPNQHG","canonical_record":{"source":{"id":"1711.11152","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T23:29:02Z","cross_cats_sorted":[],"title_canon_sha256":"188598f97c127436927c0b968b95dfa074d3ae578e286ebd8d008d4793253001","abstract_canon_sha256":"470c2b2bdadc5c5aa6ab71e0fd546dbd4e3be770e814630322fb04fc47c74830"},"schema_version":"1.0"},"canonical_sha256":"a3aaf6c0e638cfe222739f37adbb9fe380863809156a82c5e0850e510880dc10","source":{"kind":"arxiv","id":"1711.11152","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.11152","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"1711.11152v2","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.11152","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"UOVPNQHGHDH6","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UOVPNQHGHDH6EITT","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UOVPNQHG","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:UOVPNQHGHDH6EITTT4323O474O","target":"record","payload":{"canonical_record":{"source":{"id":"1711.11152","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T23:29:02Z","cross_cats_sorted":[],"title_canon_sha256":"188598f97c127436927c0b968b95dfa074d3ae578e286ebd8d008d4793253001","abstract_canon_sha256":"470c2b2bdadc5c5aa6ab71e0fd546dbd4e3be770e814630322fb04fc47c74830"},"schema_version":"1.0"},"canonical_sha256":"a3aaf6c0e638cfe222739f37adbb9fe380863809156a82c5e0850e510880dc10","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:18.312260Z","signature_b64":"+E1vrniSRRLkjy0bSrldRnD7mjraTUFU2DyMXJvoibKOXG8zS7dEgc/05WA5Y7y1VbiUoi78u5zolp/gyvofDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3aaf6c0e638cfe222739f37adbb9fe380863809156a82c5e0850e510880dc10","last_reissued_at":"2026-05-18T00:11:18.311564Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:18.311564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.11152","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":"2026-05-18T00:11:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1s7iFHZVBppbZpFaK4rTi4gXeaYBVgGRkBYiqtkVu8hefCA148sM8ZeP5DCtP4cuNSxFWJXlNA1Z/RWsxGnBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:23:11.722240Z"},"content_sha256":"7941f9fca7c0c4c53cef859385ba8f4e8b5550877eb62dd2a7303403d9e90dc4","schema_version":"1.0","event_id":"sha256:7941f9fca7c0c4c53cef859385ba8f4e8b5550877eb62dd2a7303403d9e90dc4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:UOVPNQHGHDH6EITTT4323O474O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lu Sheng, Shuyang Sun, Wanli Ouyang, Wei Zhang, Zhanghui Kuang","submitted_at":"2017-11-29T23:29:02Z","abstract_excerpt":"Motion representation plays a vital role in human action recognition in videos. In this study, we introduce a novel compact motion representation for video action recognition, named Optical Flow guided Feature (OFF), which enables the network to distill temporal information through a fast and robust approach. The OFF is derived from the definition of optical flow and is orthogonal to the optical flow. The derivation also provides theoretical support for using the difference between two frames. By directly calculating pixel-wise spatiotemporal gradients of the deep feature maps, the OFF could b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.11152","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":"2026-05-18T00:11:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HInBhrH7UVncFkJAVGYuqKQte0MCNRieUr0Yi8oNTvkdjmwOH7/dUruUl7E8BcWL1JC+PRHpZEgVkcDNvNWuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:23:11.722616Z"},"content_sha256":"c74ac9d9d5b8ddce85c8d571ee43a45d702b11eeb709e5c104c59e248b7bf662","schema_version":"1.0","event_id":"sha256:c74ac9d9d5b8ddce85c8d571ee43a45d702b11eeb709e5c104c59e248b7bf662"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UOVPNQHGHDH6EITTT4323O474O/bundle.json","state_url":"https://pith.science/pith/UOVPNQHGHDH6EITTT4323O474O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UOVPNQHGHDH6EITTT4323O474O/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":"2026-05-30T13:23:11Z","links":{"resolver":"https://pith.science/pith/UOVPNQHGHDH6EITTT4323O474O","bundle":"https://pith.science/pith/UOVPNQHGHDH6EITTT4323O474O/bundle.json","state":"https://pith.science/pith/UOVPNQHGHDH6EITTT4323O474O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UOVPNQHGHDH6EITTT4323O474O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:UOVPNQHGHDH6EITTT4323O474O","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":"470c2b2bdadc5c5aa6ab71e0fd546dbd4e3be770e814630322fb04fc47c74830","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T23:29:02Z","title_canon_sha256":"188598f97c127436927c0b968b95dfa074d3ae578e286ebd8d008d4793253001"},"schema_version":"1.0","source":{"id":"1711.11152","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.11152","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"1711.11152v2","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.11152","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"UOVPNQHGHDH6","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UOVPNQHGHDH6EITT","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UOVPNQHG","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:c74ac9d9d5b8ddce85c8d571ee43a45d702b11eeb709e5c104c59e248b7bf662","target":"graph","created_at":"2026-05-18T00:11:18Z","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":"Motion representation plays a vital role in human action recognition in videos. In this study, we introduce a novel compact motion representation for video action recognition, named Optical Flow guided Feature (OFF), which enables the network to distill temporal information through a fast and robust approach. The OFF is derived from the definition of optical flow and is orthogonal to the optical flow. The derivation also provides theoretical support for using the difference between two frames. By directly calculating pixel-wise spatiotemporal gradients of the deep feature maps, the OFF could b","authors_text":"Lu Sheng, Shuyang Sun, Wanli Ouyang, Wei Zhang, Zhanghui Kuang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T23:29:02Z","title":"Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.11152","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":"sha256:7941f9fca7c0c4c53cef859385ba8f4e8b5550877eb62dd2a7303403d9e90dc4","target":"record","created_at":"2026-05-18T00:11:18Z","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":"470c2b2bdadc5c5aa6ab71e0fd546dbd4e3be770e814630322fb04fc47c74830","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-29T23:29:02Z","title_canon_sha256":"188598f97c127436927c0b968b95dfa074d3ae578e286ebd8d008d4793253001"},"schema_version":"1.0","source":{"id":"1711.11152","kind":"arxiv","version":2}},"canonical_sha256":"a3aaf6c0e638cfe222739f37adbb9fe380863809156a82c5e0850e510880dc10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3aaf6c0e638cfe222739f37adbb9fe380863809156a82c5e0850e510880dc10","first_computed_at":"2026-05-18T00:11:18.311564Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:18.311564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+E1vrniSRRLkjy0bSrldRnD7mjraTUFU2DyMXJvoibKOXG8zS7dEgc/05WA5Y7y1VbiUoi78u5zolp/gyvofDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:18.312260Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.11152","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7941f9fca7c0c4c53cef859385ba8f4e8b5550877eb62dd2a7303403d9e90dc4","sha256:c74ac9d9d5b8ddce85c8d571ee43a45d702b11eeb709e5c104c59e248b7bf662"],"state_sha256":"9c325aff4a7f87bc53a28fe45bd572793076ef2b9ccc14db728dbe64b0018121"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dc6vmz4K/bSptvfX7AncnEf90+BOxrGVQ/MiP/A55pR8bscMKnzsXoTAzRSfWsU66GggsAmEdVoHjpRyeaewCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T13:23:11.724669Z","bundle_sha256":"e73906148eff865e14ae33744dc7763712a2a3a06e5c7f1b75598c1499816daa"}}