{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:B3OYPH7WDHY24B4AXYTMGCO32L","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":"d7ff71febd2eb743dbd521d0ee3d223a46b0003ec22514e5f5a2d7ee30f3174a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-12T09:12:50Z","title_canon_sha256":"82b6f2f64dacbf077c6b27395055697a5820e40993fc9bd973a527ebaf49a78f"},"schema_version":"1.0","source":{"id":"2310.08148","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08148","created_at":"2026-07-05T07:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08148v1","created_at":"2026-07-05T07:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08148","created_at":"2026-07-05T07:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"B3OYPH7WDHY2","created_at":"2026-07-05T07:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"B3OYPH7WDHY24B4A","created_at":"2026-07-05T07:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"B3OYPH7W","created_at":"2026-07-05T07:00:10Z"}],"graph_snapshots":[{"event_id":"sha256:7fbb0295c2235b6198b8467a5d2b0318580ddf3c4cc9dd734d30621038d42387","target":"graph","created_at":"2026-07-05T07:00:10Z","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/2310.08148/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given an image and an associated textual question, the purpose of Knowledge-Based Visual Question Answering (KB-VQA) is to provide a correct answer to the question with the aid of external knowledge bases. Prior KB-VQA models are usually formulated as a retriever-classifier framework, where a pre-trained retriever extracts textual or visual information from knowledge graphs and then makes a prediction among the candidates. Despite promising progress, there are two drawbacks with existing models. Firstly, modeling question-answering as multi-class classification limits the answer space to a pre","authors_text":"Jingru Gan, Qingming Huang, Shuhui Wang, Xinzhe Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-12T09:12:50Z","title":"Open-Set Knowledge-Based Visual Question Answering with Inference Paths"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08148","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":"sha256:35f0a76adda121ad0bf0299dd2b9420a6d82d5a37571e7f18dd61d7ae7397ed7","target":"record","created_at":"2026-07-05T07:00:10Z","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":"d7ff71febd2eb743dbd521d0ee3d223a46b0003ec22514e5f5a2d7ee30f3174a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-12T09:12:50Z","title_canon_sha256":"82b6f2f64dacbf077c6b27395055697a5820e40993fc9bd973a527ebaf49a78f"},"schema_version":"1.0","source":{"id":"2310.08148","kind":"arxiv","version":1}},"canonical_sha256":"0edd879ff619f1ae0780be26c309dbd2fd99618793233b9b0fa1a35c33b01309","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0edd879ff619f1ae0780be26c309dbd2fd99618793233b9b0fa1a35c33b01309","first_computed_at":"2026-07-05T07:00:10.722452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:10.722452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CZnrXkzGkWj15n1xGNIt3DWpW12TPuOpFhElofDFT3d608y+Swt1DPWyPWsDDmFexpn8RN+m/4CWSWDLh5OiDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:10.722926Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08148","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35f0a76adda121ad0bf0299dd2b9420a6d82d5a37571e7f18dd61d7ae7397ed7","sha256:7fbb0295c2235b6198b8467a5d2b0318580ddf3c4cc9dd734d30621038d42387"],"state_sha256":"560a0025bf8e7d3fb267843620015ae8c678906f16f7ef5dd7d51309ce16ffe3"}