{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NFH7QG2XVMFUTWFEBEYDFGCE43","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":"0690c82e06c401ac51359cb39aa94ff09e1ff708ce8b990a9ffe64b3984f6dd3","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-03T10:37:20Z","title_canon_sha256":"86546d645fe3e4378cd8a3a17f33ea0f3e29b3ce5d3cd32b406b9adf388d88b8"},"schema_version":"1.0","source":{"id":"2308.02570","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02570","created_at":"2026-07-05T06:38:04Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02570v1","created_at":"2026-07-05T06:38:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02570","created_at":"2026-07-05T06:38:04Z"},{"alias_kind":"pith_short_12","alias_value":"NFH7QG2XVMFU","created_at":"2026-07-05T06:38:04Z"},{"alias_kind":"pith_short_16","alias_value":"NFH7QG2XVMFUTWFE","created_at":"2026-07-05T06:38:04Z"},{"alias_kind":"pith_short_8","alias_value":"NFH7QG2X","created_at":"2026-07-05T06:38:04Z"}],"graph_snapshots":[{"event_id":"sha256:3e5359fff85f3261cf200d67b17f0f1b78990fb8c79543f72ba9421f753c7970","target":"graph","created_at":"2026-07-05T06:38:04Z","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/2308.02570/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The challenge posed by multimodal named entity recognition (MNER) is mainly two-fold: (1) bridging the semantic gap between text and image and (2) matching the entity with its associated object in image. Existing methods fail to capture the implicit entity-object relations, due to the lack of corresponding annotation. In this paper, we propose a bidirectional generative alignment method named BGA-MNER to tackle these issues. Our BGA-MNER consists of \\texttt{image2text} and \\texttt{text2image} generation with respect to entity-salient content in two modalities. It jointly optimizes the bidirect","authors_text":"Feng Chen, Jiajia Liu, Jian Wang, Jingdong Wang, Kaixiang Ji, Wang Ren","cross_cats":["cs.AI","cs.CL","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-03T10:37:20Z","title":"Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02570","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":"sha256:0ef00a782ed598d9e1371738edbe5556ffc9dfeb3506e14ed149b69866a54bde","target":"record","created_at":"2026-07-05T06:38:04Z","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":"0690c82e06c401ac51359cb39aa94ff09e1ff708ce8b990a9ffe64b3984f6dd3","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-03T10:37:20Z","title_canon_sha256":"86546d645fe3e4378cd8a3a17f33ea0f3e29b3ce5d3cd32b406b9adf388d88b8"},"schema_version":"1.0","source":{"id":"2308.02570","kind":"arxiv","version":1}},"canonical_sha256":"694ff81b57ab0b49d8a40930329844e6c7c245f29e84e2831d34dcbfb4a1ada1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"694ff81b57ab0b49d8a40930329844e6c7c245f29e84e2831d34dcbfb4a1ada1","first_computed_at":"2026-07-05T06:38:04.647545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:38:04.647545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Jw8G2p+QwJfnp2zs70l2uRQd7o6Ko2AwCL4mJfxdq0pyOJtj0MudGfNloHm3L4zs7XjuGRevQDccEC48n7SDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:38:04.647996Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.02570","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ef00a782ed598d9e1371738edbe5556ffc9dfeb3506e14ed149b69866a54bde","sha256:3e5359fff85f3261cf200d67b17f0f1b78990fb8c79543f72ba9421f753c7970"],"state_sha256":"87faeef9b858a07eae25cfa94a399aa5789acca985e278cb447ab7277a5d3162"}