{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SPNLAOYGB72O2ZBEZLQH4CFIRO","short_pith_number":"pith:SPNLAOYG","canonical_record":{"source":{"id":"2003.05837","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-03-12T15:11:38Z","cross_cats_sorted":[],"title_canon_sha256":"fa0cef7f7b8cc4664b81b01975de4b1543c032172d5b73030de43b8da2ee2614","abstract_canon_sha256":"d15f1906c8265f9b173e4eed0ed0a7836e85f8dc3435333a5d4e4f8841ba1938"},"schema_version":"1.0"},"canonical_sha256":"93dab03b060ff4ed6424cae07e08a88b80de342282765d772568dd71841b38f9","source":{"kind":"arxiv","id":"2003.05837","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.05837","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"arxiv_version","alias_value":"2003.05837v2","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.05837","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"pith_short_12","alias_value":"SPNLAOYGB72O","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"pith_short_16","alias_value":"SPNLAOYGB72O2ZBE","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"pith_short_8","alias_value":"SPNLAOYG","created_at":"2026-07-05T00:47:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SPNLAOYGB72O2ZBEZLQH4CFIRO","target":"record","payload":{"canonical_record":{"source":{"id":"2003.05837","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-03-12T15:11:38Z","cross_cats_sorted":[],"title_canon_sha256":"fa0cef7f7b8cc4664b81b01975de4b1543c032172d5b73030de43b8da2ee2614","abstract_canon_sha256":"d15f1906c8265f9b173e4eed0ed0a7836e85f8dc3435333a5d4e4f8841ba1938"},"schema_version":"1.0"},"canonical_sha256":"93dab03b060ff4ed6424cae07e08a88b80de342282765d772568dd71841b38f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:47:42.039866Z","signature_b64":"yRKunh79KzPsvQhEsincPqFcslqotiUD88pACZRsTei4Qhlfws6Og7qm6Fi8kQBcwu7yMxxMTesa1VvUDwiDDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93dab03b060ff4ed6424cae07e08a88b80de342282765d772568dd71841b38f9","last_reissued_at":"2026-07-05T00:47:42.039409Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:47:42.039409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.05837","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":"2026-07-05T00:47:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sqC2DFs5lF4OasHuZl0Iz42Jv4ZwgSS69w5zmHxTst4jAOGZNYxQ+cYjehAcaoNNtyMcIoH6Oe2h4BfgPhIbDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:25:58.666933Z"},"content_sha256":"beb0d7b03c949ec47e8245e7f6d3ede4ba325dcfef2b688b09e0b2c4234a02f9","schema_version":"1.0","event_id":"sha256:beb0d7b03c949ec47e8245e7f6d3ede4ba325dcfef2b688b09e0b2c4234a02f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SPNLAOYGB72O2ZBEZLQH4CFIRO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Top-1 Solution of Multi-Moments in Time Challenge 2019","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanglu Song, Hao Shao, Junjie Yan, Manyuan Zhang, Yu Liu","submitted_at":"2020-03-12T15:11:38Z","abstract_excerpt":"In this technical report, we briefly introduce the solutions of our team 'Efficient' for the Multi-Moments in Time challenge in ICCV 2019. We first conduct several experiments with popular Image-Based action recognition methods TRN, TSN, and TSM. Then a novel temporal interlacing network is proposed towards fast and accurate recognition. Besides, the SlowFast network and its variants are explored. Finally, we ensemble all the above models and achieve 67.22\\% on the validation set and 60.77\\% on the test set, which ranks 1st on the final leaderboard. In addition, we release a new code repositor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.05837","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2003.05837/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":"2026-07-05T00:47:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T3F9QwOiIsRQxdUDroOGP8SrARhuAz6RFaI2cvyfSDjV9GK0Jek4sBDLPPbmoxVL2hkOV1h+/lxYse8s1YBcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:25:58.667608Z"},"content_sha256":"2e0b3887e1c99af381eda765b468dfb2b36d4a871bcd6837a9d8f3d9ec480450","schema_version":"1.0","event_id":"sha256:2e0b3887e1c99af381eda765b468dfb2b36d4a871bcd6837a9d8f3d9ec480450"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO/bundle.json","state_url":"https://pith.science/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO/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":"2026-07-07T06:25:58Z","links":{"resolver":"https://pith.science/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO","bundle":"https://pith.science/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO/bundle.json","state":"https://pith.science/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SPNLAOYGB72O2ZBEZLQH4CFIRO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SPNLAOYGB72O2ZBEZLQH4CFIRO","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":"d15f1906c8265f9b173e4eed0ed0a7836e85f8dc3435333a5d4e4f8841ba1938","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-03-12T15:11:38Z","title_canon_sha256":"fa0cef7f7b8cc4664b81b01975de4b1543c032172d5b73030de43b8da2ee2614"},"schema_version":"1.0","source":{"id":"2003.05837","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.05837","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"arxiv_version","alias_value":"2003.05837v2","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.05837","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"pith_short_12","alias_value":"SPNLAOYGB72O","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"pith_short_16","alias_value":"SPNLAOYGB72O2ZBE","created_at":"2026-07-05T00:47:42Z"},{"alias_kind":"pith_short_8","alias_value":"SPNLAOYG","created_at":"2026-07-05T00:47:42Z"}],"graph_snapshots":[{"event_id":"sha256:2e0b3887e1c99af381eda765b468dfb2b36d4a871bcd6837a9d8f3d9ec480450","target":"graph","created_at":"2026-07-05T00:47:42Z","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/2003.05837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this technical report, we briefly introduce the solutions of our team 'Efficient' for the Multi-Moments in Time challenge in ICCV 2019. We first conduct several experiments with popular Image-Based action recognition methods TRN, TSN, and TSM. Then a novel temporal interlacing network is proposed towards fast and accurate recognition. Besides, the SlowFast network and its variants are explored. Finally, we ensemble all the above models and achieve 67.22\\% on the validation set and 60.77\\% on the test set, which ranks 1st on the final leaderboard. In addition, we release a new code repositor","authors_text":"Guanglu Song, Hao Shao, Junjie Yan, Manyuan Zhang, Yu Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-03-12T15:11:38Z","title":"Top-1 Solution of Multi-Moments in Time Challenge 2019"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.05837","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:beb0d7b03c949ec47e8245e7f6d3ede4ba325dcfef2b688b09e0b2c4234a02f9","target":"record","created_at":"2026-07-05T00:47:42Z","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":"d15f1906c8265f9b173e4eed0ed0a7836e85f8dc3435333a5d4e4f8841ba1938","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-03-12T15:11:38Z","title_canon_sha256":"fa0cef7f7b8cc4664b81b01975de4b1543c032172d5b73030de43b8da2ee2614"},"schema_version":"1.0","source":{"id":"2003.05837","kind":"arxiv","version":2}},"canonical_sha256":"93dab03b060ff4ed6424cae07e08a88b80de342282765d772568dd71841b38f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93dab03b060ff4ed6424cae07e08a88b80de342282765d772568dd71841b38f9","first_computed_at":"2026-07-05T00:47:42.039409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:47:42.039409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yRKunh79KzPsvQhEsincPqFcslqotiUD88pACZRsTei4Qhlfws6Og7qm6Fi8kQBcwu7yMxxMTesa1VvUDwiDDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:47:42.039866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.05837","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:beb0d7b03c949ec47e8245e7f6d3ede4ba325dcfef2b688b09e0b2c4234a02f9","sha256:2e0b3887e1c99af381eda765b468dfb2b36d4a871bcd6837a9d8f3d9ec480450"],"state_sha256":"9c75fa10930665f6752b1d3f0cd35498fe8b2b977d76dfb7bee291cbc288d201"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ehy6U1AJm932dgyiT8prmSQ85QI+7IFqAXLgikjCSNYFHfXVA5RG2WRns6N84/VIBBqdGXRyjRmH7COfoVPBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:25:58.671840Z","bundle_sha256":"a2011966a017b9db6d7be22323eb8e66349185fa3184fd920c699b3d39e17f46"}}