{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:YAWBPNZCGJ6KSUWG2X5QNURX3K","short_pith_number":"pith:YAWBPNZC","canonical_record":{"source":{"id":"1804.08588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:30:49Z","cross_cats_sorted":[],"title_canon_sha256":"5e89fb7cb283cd40938dab24def77e1f1b1b9210a93273420d6abfa8b1c62264","abstract_canon_sha256":"9b0bbb5b3780692498b4f383828c1048e2ea488d73b48efac13741fe7cddf55f"},"schema_version":"1.0"},"canonical_sha256":"c02c17b722327ca952c6d5fb06d237da956fd8680e6b8bf425d976899d934b21","source":{"kind":"arxiv","id":"1804.08588","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08588v2","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"pith_short_12","alias_value":"YAWBPNZCGJ6K","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YAWBPNZCGJ6KSUWG","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YAWBPNZC","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:YAWBPNZCGJ6KSUWG2X5QNURX3K","target":"record","payload":{"canonical_record":{"source":{"id":"1804.08588","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:30:49Z","cross_cats_sorted":[],"title_canon_sha256":"5e89fb7cb283cd40938dab24def77e1f1b1b9210a93273420d6abfa8b1c62264","abstract_canon_sha256":"9b0bbb5b3780692498b4f383828c1048e2ea488d73b48efac13741fe7cddf55f"},"schema_version":"1.0"},"canonical_sha256":"c02c17b722327ca952c6d5fb06d237da956fd8680e6b8bf425d976899d934b21","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:30.423894Z","signature_b64":"0BeM7uO6YWj0rxVrE8BUatfAeeuEgTtEYLVxvMK7irUrok3kqfnI/n0TtYhmudvvTQNTIN5Vf87HwfQWUzphBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c02c17b722327ca952c6d5fb06d237da956fd8680e6b8bf425d976899d934b21","last_reissued_at":"2026-05-18T00:00:30.423241Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:30.423241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.08588","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":"2026-05-18T00:00:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M2PFGhlWWudBLV2AkGOkbpLwzquPaJHN6E4I4+S8d4DAMfiQ265x1nl35DYc2AAjhMKEQrLPRGfGuAaxuL7RBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T15:20:22.382923Z"},"content_sha256":"ca90c8a295d6e9b9104c5b960a1335d8a1abd7eff1f9c482971d73bab2aed7af","schema_version":"1.0","event_id":"sha256:ca90c8a295d6e9b9104c5b960a1335d8a1abd7eff1f9c482971d73bab2aed7af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:YAWBPNZCGJ6KSUWG2X5QNURX3K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Scale Scene Text Verification with Guided Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Gorban, C. Lee Giles, Dafang He, Daniel Kifer, Derrall Heath, Julian Ibarz, Qian Yu, Yeqing Li","submitted_at":"2018-04-23T17:30:49Z","abstract_excerpt":"Many tasks are related to determining if a particular text string exists in an image. In this work, we propose a new framework that learns this task in an end-to-end way. The framework takes an image and a text string as input and then outputs the probability of the text string being present in the image. This is the first end-to-end framework that learns such relationships between text and images in scene text area. The framework does not require explicit scene text detection or recognition and thus no bounding box annotations are needed for it. It is also the first work in scene text area th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08588","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":"2026-05-18T00:00:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LHSRKUIjmmQQGyXuYP6qTLgwM18cltXt2tEpw8C3v2WDpxhNSkPG5hKjVsdU7x3uHGInvQoql38MB+FJRxmRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T15:20:22.383552Z"},"content_sha256":"476cf6b1a082f431844ca9a151ccac07bf42a5042545c78957b60ca7a4a03396","schema_version":"1.0","event_id":"sha256:476cf6b1a082f431844ca9a151ccac07bf42a5042545c78957b60ca7a4a03396"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K/bundle.json","state_url":"https://pith.science/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K/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":"2026-06-08T15:20:22Z","links":{"resolver":"https://pith.science/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K","bundle":"https://pith.science/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K/bundle.json","state":"https://pith.science/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YAWBPNZCGJ6KSUWG2X5QNURX3K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:YAWBPNZCGJ6KSUWG2X5QNURX3K","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":"9b0bbb5b3780692498b4f383828c1048e2ea488d73b48efac13741fe7cddf55f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:30:49Z","title_canon_sha256":"5e89fb7cb283cd40938dab24def77e1f1b1b9210a93273420d6abfa8b1c62264"},"schema_version":"1.0","source":{"id":"1804.08588","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08588v2","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08588","created_at":"2026-05-18T00:00:30Z"},{"alias_kind":"pith_short_12","alias_value":"YAWBPNZCGJ6K","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YAWBPNZCGJ6KSUWG","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YAWBPNZC","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:476cf6b1a082f431844ca9a151ccac07bf42a5042545c78957b60ca7a4a03396","target":"graph","created_at":"2026-05-18T00:00:30Z","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":"Many tasks are related to determining if a particular text string exists in an image. In this work, we propose a new framework that learns this task in an end-to-end way. The framework takes an image and a text string as input and then outputs the probability of the text string being present in the image. This is the first end-to-end framework that learns such relationships between text and images in scene text area. The framework does not require explicit scene text detection or recognition and thus no bounding box annotations are needed for it. It is also the first work in scene text area th","authors_text":"Alexander Gorban, C. Lee Giles, Dafang He, Daniel Kifer, Derrall Heath, Julian Ibarz, Qian Yu, Yeqing Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:30:49Z","title":"Large Scale Scene Text Verification with Guided Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08588","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:ca90c8a295d6e9b9104c5b960a1335d8a1abd7eff1f9c482971d73bab2aed7af","target":"record","created_at":"2026-05-18T00:00:30Z","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":"9b0bbb5b3780692498b4f383828c1048e2ea488d73b48efac13741fe7cddf55f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:30:49Z","title_canon_sha256":"5e89fb7cb283cd40938dab24def77e1f1b1b9210a93273420d6abfa8b1c62264"},"schema_version":"1.0","source":{"id":"1804.08588","kind":"arxiv","version":2}},"canonical_sha256":"c02c17b722327ca952c6d5fb06d237da956fd8680e6b8bf425d976899d934b21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c02c17b722327ca952c6d5fb06d237da956fd8680e6b8bf425d976899d934b21","first_computed_at":"2026-05-18T00:00:30.423241Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:30.423241Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0BeM7uO6YWj0rxVrE8BUatfAeeuEgTtEYLVxvMK7irUrok3kqfnI/n0TtYhmudvvTQNTIN5Vf87HwfQWUzphBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:30.423894Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.08588","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca90c8a295d6e9b9104c5b960a1335d8a1abd7eff1f9c482971d73bab2aed7af","sha256:476cf6b1a082f431844ca9a151ccac07bf42a5042545c78957b60ca7a4a03396"],"state_sha256":"081c9a4dd8f116ded03348b590bfde10bdd58f94ea6f685ae8dd0c9b83d53e51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"17JnT0bml9zgvlfW20g0B4utC9qssnIvJMe58IYg1DPaIJDWoQ57mtE/zzyFOvw2B9zdLiAR1ZOruC6bbT+GAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T15:20:22.386947Z","bundle_sha256":"af8a89c93c9151c202955aa189f7db2da9e537b15928c956703f20bdfd4b2a48"}}