{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QBTC3PYDGGTIUXXY4DX4DLAROA","short_pith_number":"pith:QBTC3PYD","canonical_record":{"source":{"id":"2201.09168","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T03:38:37Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"94ce08c5ded9f9355161bf3c6182e2873caff160d8b747454a0d2103855a6a55","abstract_canon_sha256":"2c2f1a2213d9d3880768903de1ab32620c04d4a113e6f499f08af75e185ab357"},"schema_version":"1.0"},"canonical_sha256":"80662dbf0331a68a5ef8e0efc1ac11703602e128521fbc6fe1f7c7958de6b14a","source":{"kind":"arxiv","id":"2201.09168","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.09168","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2201.09168v3","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.09168","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"QBTC3PYDGGTI","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"QBTC3PYDGGTIUXXY","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"QBTC3PYD","created_at":"2026-07-05T04:01:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QBTC3PYDGGTIUXXY4DX4DLAROA","target":"record","payload":{"canonical_record":{"source":{"id":"2201.09168","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T03:38:37Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"94ce08c5ded9f9355161bf3c6182e2873caff160d8b747454a0d2103855a6a55","abstract_canon_sha256":"2c2f1a2213d9d3880768903de1ab32620c04d4a113e6f499f08af75e185ab357"},"schema_version":"1.0"},"canonical_sha256":"80662dbf0331a68a5ef8e0efc1ac11703602e128521fbc6fe1f7c7958de6b14a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:01:45.940239Z","signature_b64":"QgMyQ+v+ibag52pqlZlDyISv2q9SvW1OiEiBoF/fxxNyJcdcInqnWFda2Sqg4wyrG8SMd303Lj0OexB4cmAQAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80662dbf0331a68a5ef8e0efc1ac11703602e128521fbc6fe1f7c7958de6b14a","last_reissued_at":"2026-07-05T04:01:45.939808Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:01:45.939808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.09168","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":"2026-07-05T04:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bixEVcSYvOIuqKx52dl3SE63+pL1a6vN7QbC4EjFSzs6LZOWU3YRUA36TZ0JsjiwI6gaUNbYJJEYODTCL5N4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:40:21.015975Z"},"content_sha256":"56698b03ce7a4bd25e6b6df03620c99ee3d3df816290c0e8c1530bfdba9c6f54","schema_version":"1.0","event_id":"sha256:56698b03ce7a4bd25e6b6df03620c99ee3d3df816290c0e8c1530bfdba9c6f54"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QBTC3PYDGGTIUXXY4DX4DLAROA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Jianfeng Dong, Xianke Chen, Xiaoye Qu, Xirong Li, Xun Wang, Yabing Wang, Yuan He","submitted_at":"2022-01-23T03:38:37Z","abstract_excerpt":"This paper aims for the task of text-to-video retrieval, where given a query in the form of a natural-language sentence, it is asked to retrieve videos which are semantically relevant to the given query, from a great number of unlabeled videos. The success of this task depends on cross-modal representation learning that projects both videos and sentences into common spaces for semantic similarity computation. In this work, we concentrate on video representation learning, an essential component for text-to-video retrieval. Inspired by the reading strategy of humans, we propose a Reading-strateg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.09168","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2201.09168/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":"2026-07-05T04:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XUweoyjqsI/CUkU43TX9jFGsVZSGq2h6d/NTh+hvmLCvxu02DHZej14BTv06z2NISpOM+eqSDfRlj8hmR0T/Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:40:21.016934Z"},"content_sha256":"8564e0ac6ee16441afd7ccbfb1caefdf62246c8162dce9a6ab8c9494ee07f603","schema_version":"1.0","event_id":"sha256:8564e0ac6ee16441afd7ccbfb1caefdf62246c8162dce9a6ab8c9494ee07f603"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QBTC3PYDGGTIUXXY4DX4DLAROA/bundle.json","state_url":"https://pith.science/pith/QBTC3PYDGGTIUXXY4DX4DLAROA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QBTC3PYDGGTIUXXY4DX4DLAROA/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":"2026-08-03T18:40:21Z","links":{"resolver":"https://pith.science/pith/QBTC3PYDGGTIUXXY4DX4DLAROA","bundle":"https://pith.science/pith/QBTC3PYDGGTIUXXY4DX4DLAROA/bundle.json","state":"https://pith.science/pith/QBTC3PYDGGTIUXXY4DX4DLAROA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QBTC3PYDGGTIUXXY4DX4DLAROA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QBTC3PYDGGTIUXXY4DX4DLAROA","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":"2c2f1a2213d9d3880768903de1ab32620c04d4a113e6f499f08af75e185ab357","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T03:38:37Z","title_canon_sha256":"94ce08c5ded9f9355161bf3c6182e2873caff160d8b747454a0d2103855a6a55"},"schema_version":"1.0","source":{"id":"2201.09168","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.09168","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"2201.09168v3","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.09168","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"QBTC3PYDGGTI","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"pith_short_16","alias_value":"QBTC3PYDGGTIUXXY","created_at":"2026-07-05T04:01:45Z"},{"alias_kind":"pith_short_8","alias_value":"QBTC3PYD","created_at":"2026-07-05T04:01:45Z"}],"graph_snapshots":[{"event_id":"sha256:8564e0ac6ee16441afd7ccbfb1caefdf62246c8162dce9a6ab8c9494ee07f603","target":"graph","created_at":"2026-07-05T04:01:45Z","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/2201.09168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper aims for the task of text-to-video retrieval, where given a query in the form of a natural-language sentence, it is asked to retrieve videos which are semantically relevant to the given query, from a great number of unlabeled videos. The success of this task depends on cross-modal representation learning that projects both videos and sentences into common spaces for semantic similarity computation. In this work, we concentrate on video representation learning, an essential component for text-to-video retrieval. Inspired by the reading strategy of humans, we propose a Reading-strateg","authors_text":"Jianfeng Dong, Xianke Chen, Xiaoye Qu, Xirong Li, Xun Wang, Yabing Wang, Yuan He","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T03:38:37Z","title":"Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.09168","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":"sha256:56698b03ce7a4bd25e6b6df03620c99ee3d3df816290c0e8c1530bfdba9c6f54","target":"record","created_at":"2026-07-05T04:01:45Z","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":"2c2f1a2213d9d3880768903de1ab32620c04d4a113e6f499f08af75e185ab357","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T03:38:37Z","title_canon_sha256":"94ce08c5ded9f9355161bf3c6182e2873caff160d8b747454a0d2103855a6a55"},"schema_version":"1.0","source":{"id":"2201.09168","kind":"arxiv","version":3}},"canonical_sha256":"80662dbf0331a68a5ef8e0efc1ac11703602e128521fbc6fe1f7c7958de6b14a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80662dbf0331a68a5ef8e0efc1ac11703602e128521fbc6fe1f7c7958de6b14a","first_computed_at":"2026-07-05T04:01:45.939808Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:01:45.939808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QgMyQ+v+ibag52pqlZlDyISv2q9SvW1OiEiBoF/fxxNyJcdcInqnWFda2Sqg4wyrG8SMd303Lj0OexB4cmAQAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:01:45.940239Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.09168","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56698b03ce7a4bd25e6b6df03620c99ee3d3df816290c0e8c1530bfdba9c6f54","sha256:8564e0ac6ee16441afd7ccbfb1caefdf62246c8162dce9a6ab8c9494ee07f603"],"state_sha256":"8381c69b65ede1268067e317d888d85de82f08d7217122b83a8b79896f052c1c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V4i4EUO5uSGU9xifUM8LL7zVlyGQ+gnO6dbdfUDB8I8TUrIYZM96bZelBRkqXXicXtBF5wUNRPOdDDGTBOoUBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:40:21.023855Z","bundle_sha256":"ca0b622cf249b188a646827351d594e2ebc6854ab4d65f1a5d99f60fb3a44aa7"}}