{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:WOXU2EWZVTRS2NYJWBEXDAGFXD","short_pith_number":"pith:WOXU2EWZ","canonical_record":{"source":{"id":"2210.04154","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-09T03:22:15Z","cross_cats_sorted":[],"title_canon_sha256":"1a37592306e8e5c409e3addeb167049e6bc641e1d279e3c9ba8d564b0de37161","abstract_canon_sha256":"65fb6d07ae1e3ebe757b93c65fc777d95b432e6e77af8ca9f359253cb03cacdf"},"schema_version":"1.0"},"canonical_sha256":"b3af4d12d9ace32d3709b0497180c5b8ee35082927e67760c4144b28e401b2a8","source":{"kind":"arxiv","id":"2210.04154","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.04154","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2210.04154v1","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.04154","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"WOXU2EWZVTRS","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"WOXU2EWZVTRS2NYJ","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"WOXU2EWZ","created_at":"2026-07-05T05:04:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:WOXU2EWZVTRS2NYJWBEXDAGFXD","target":"record","payload":{"canonical_record":{"source":{"id":"2210.04154","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-09T03:22:15Z","cross_cats_sorted":[],"title_canon_sha256":"1a37592306e8e5c409e3addeb167049e6bc641e1d279e3c9ba8d564b0de37161","abstract_canon_sha256":"65fb6d07ae1e3ebe757b93c65fc777d95b432e6e77af8ca9f359253cb03cacdf"},"schema_version":"1.0"},"canonical_sha256":"b3af4d12d9ace32d3709b0497180c5b8ee35082927e67760c4144b28e401b2a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:36.834738Z","signature_b64":"vdXFPu84ESJ54CotxIlmBwyoT3ClCkAJt58p2AWk4lUWgKyJtxEzY8qENRF9yym9sL8GRP9iYbmD46X3B39MDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3af4d12d9ace32d3709b0497180c5b8ee35082927e67760c4144b28e401b2a8","last_reissued_at":"2026-07-05T05:04:36.834199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:36.834199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.04154","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:04:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ybgM4TyTAU16ybQxk1J9Mtay6DB4Fmaiaj+Bu4/7nx+vEV0tQUM3//dL4BFCjtM55xi4qk7oLB5whmUlQAHkAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:53:46.504540Z"},"content_sha256":"5e60abdc7f66dc2bb36cb4de2f77c0fec933ffe0f99d24bc19273851328f73b6","schema_version":"1.0","event_id":"sha256:5e60abdc7f66dc2bb36cb4de2f77c0fec933ffe0f99d24bc19273851328f73b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:WOXU2EWZVTRS2NYJWBEXDAGFXD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Wen, Deng Huang, Haosen Yang, Hongxun Yao, Jiannan Wu, Xiatian Zhu, Yi Jiang, Zehuan Yuan","submitted_at":"2022-10-09T03:22:15Z","abstract_excerpt":"Masked autoencoders (MAEs) have emerged recently as art self-supervised spatiotemporal representation learners. Inheriting from the image counterparts, however, existing video MAEs still focus largely on static appearance learning whilst are limited in learning dynamic temporal information hence less effective for video downstream tasks. To resolve this drawback, in this work we present a motion-aware variant -- MotionMAE. Apart from learning to reconstruct individual masked patches of video frames, our model is designed to additionally predict the corresponding motion structure information ov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.04154","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/2210.04154/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:04:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ta1iujSs6kGGxkS/MvSAYmBAMehiFDmjJA0Skxv39haoFkwKEWmh0MGIpnYI3ELbtUUMKlBR8DI4ZcfcdVfxCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:53:46.504865Z"},"content_sha256":"228c3c08c60856d74b1b6c0234b6613ea411ac78f3e4e74a176699fd9de4631f","schema_version":"1.0","event_id":"sha256:228c3c08c60856d74b1b6c0234b6613ea411ac78f3e4e74a176699fd9de4631f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD/bundle.json","state_url":"https://pith.science/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD/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":"2026-08-06T22:53:46Z","links":{"resolver":"https://pith.science/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD","bundle":"https://pith.science/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD/bundle.json","state":"https://pith.science/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WOXU2EWZVTRS2NYJWBEXDAGFXD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WOXU2EWZVTRS2NYJWBEXDAGFXD","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":"65fb6d07ae1e3ebe757b93c65fc777d95b432e6e77af8ca9f359253cb03cacdf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-09T03:22:15Z","title_canon_sha256":"1a37592306e8e5c409e3addeb167049e6bc641e1d279e3c9ba8d564b0de37161"},"schema_version":"1.0","source":{"id":"2210.04154","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.04154","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2210.04154v1","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.04154","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"WOXU2EWZVTRS","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"WOXU2EWZVTRS2NYJ","created_at":"2026-07-05T05:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"WOXU2EWZ","created_at":"2026-07-05T05:04:36Z"}],"graph_snapshots":[{"event_id":"sha256:228c3c08c60856d74b1b6c0234b6613ea411ac78f3e4e74a176699fd9de4631f","target":"graph","created_at":"2026-07-05T05:04:36Z","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/2210.04154/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Masked autoencoders (MAEs) have emerged recently as art self-supervised spatiotemporal representation learners. Inheriting from the image counterparts, however, existing video MAEs still focus largely on static appearance learning whilst are limited in learning dynamic temporal information hence less effective for video downstream tasks. To resolve this drawback, in this work we present a motion-aware variant -- MotionMAE. Apart from learning to reconstruct individual masked patches of video frames, our model is designed to additionally predict the corresponding motion structure information ov","authors_text":"Bin Wen, Deng Huang, Haosen Yang, Hongxun Yao, Jiannan Wu, Xiatian Zhu, Yi Jiang, Zehuan Yuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-09T03:22:15Z","title":"Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.04154","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":"sha256:5e60abdc7f66dc2bb36cb4de2f77c0fec933ffe0f99d24bc19273851328f73b6","target":"record","created_at":"2026-07-05T05:04:36Z","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":"65fb6d07ae1e3ebe757b93c65fc777d95b432e6e77af8ca9f359253cb03cacdf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-09T03:22:15Z","title_canon_sha256":"1a37592306e8e5c409e3addeb167049e6bc641e1d279e3c9ba8d564b0de37161"},"schema_version":"1.0","source":{"id":"2210.04154","kind":"arxiv","version":1}},"canonical_sha256":"b3af4d12d9ace32d3709b0497180c5b8ee35082927e67760c4144b28e401b2a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3af4d12d9ace32d3709b0497180c5b8ee35082927e67760c4144b28e401b2a8","first_computed_at":"2026-07-05T05:04:36.834199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:36.834199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vdXFPu84ESJ54CotxIlmBwyoT3ClCkAJt58p2AWk4lUWgKyJtxEzY8qENRF9yym9sL8GRP9iYbmD46X3B39MDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:36.834738Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.04154","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e60abdc7f66dc2bb36cb4de2f77c0fec933ffe0f99d24bc19273851328f73b6","sha256:228c3c08c60856d74b1b6c0234b6613ea411ac78f3e4e74a176699fd9de4631f"],"state_sha256":"dd9161da3a6f2af87de73ba6d08c8a5f9cd00a54371c3326e2bdab18c225550a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4HqFHtBxWXK/yTjxPFsHzmCpt8WzmAButBeCf8dfmgyRoUgUVsq8HLx4tbwoenn9/rWlR1rLHEOgFm00AkruCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:53:46.508264Z","bundle_sha256":"b2b9719c8bababb1231136520558048113f5a93b8d0f1121e4b991fdbde2e6c7"}}