{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:AGOPFISTINX4XJMQOLQV6YK44T","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":"99f470159b6b84c1277b5206fd626a35c2f8b28f328796d683fbd99fc8249fcc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-07T14:34:49Z","title_canon_sha256":"f47dea5cfa71e73d43ba7a501f8351e668db0b7459498a3480aa6b87e86b519c"},"schema_version":"1.0","source":{"id":"1901.02004","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02004","created_at":"2026-05-17T23:56:44Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02004v1","created_at":"2026-05-17T23:56:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02004","created_at":"2026-05-17T23:56:44Z"},{"alias_kind":"pith_short_12","alias_value":"AGOPFISTINX4","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"AGOPFISTINX4XJMQ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"AGOPFIST","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:fd479b8931cafd4882aa23236b78c97dc8cb4b044541504c38810561810f10f3","target":"graph","created_at":"2026-05-17T23:56:44Z","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":"Self-Supervised learning from multimodal image and text data allows deep neural networks to learn powerful features with no need of human annotated data. Web and Social Media platforms provide a virtually unlimited amount of this multimodal data. In this work we propose to exploit this free available data to learn a multimodal image and text embedding, aiming to leverage the semantic knowledge learnt in the text domain and transfer it to a visual model for semantic image retrieval. We demonstrate that the proposed pipeline can learn from images with associated textwithout supervision and analy","authors_text":"Dimosthenis Karatzas, Jaume Gibert, Lluis Gomez, Raul Gomez","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-07T14:34:49Z","title":"Self-Supervised Learning from Web Data for Multimodal Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02004","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":"sha256:9e4a65367bcdb86bdeff784e1a52513e61272328aeeb442fe273be7817e92eb9","target":"record","created_at":"2026-05-17T23:56:44Z","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":"99f470159b6b84c1277b5206fd626a35c2f8b28f328796d683fbd99fc8249fcc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-07T14:34:49Z","title_canon_sha256":"f47dea5cfa71e73d43ba7a501f8351e668db0b7459498a3480aa6b87e86b519c"},"schema_version":"1.0","source":{"id":"1901.02004","kind":"arxiv","version":1}},"canonical_sha256":"019cf2a253436fcba59072e15f615ce4fd6a2c4007a3e752088bfb9d17b9140c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"019cf2a253436fcba59072e15f615ce4fd6a2c4007a3e752088bfb9d17b9140c","first_computed_at":"2026-05-17T23:56:44.185945Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:44.185945Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tWOyVRExVTRhMHlfKFFl/bs7roeqG5CeS7VXjkaNPA/2Q1JbNwJlSxGsWzqd69J2x0hWTfTC+ZjJ6dKUGSjvDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:44.186529Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.02004","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e4a65367bcdb86bdeff784e1a52513e61272328aeeb442fe273be7817e92eb9","sha256:fd479b8931cafd4882aa23236b78c97dc8cb4b044541504c38810561810f10f3"],"state_sha256":"fba67e7973bd3ece794c47734caaba2ced58914757a208e773d7b4181df131a2"}