{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MK6FKVLF34DMRYOFPYTKEPBAKP","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":"d3c54d8a4d5d014eddb14ffb2007e2f9848cfc56e357369754824a80d9145b9e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-07T16:19:19Z","title_canon_sha256":"ac721d50f374e9e20a4951951bce977b75a1a197cbf9f6067833919b1d129236"},"schema_version":"1.0","source":{"id":"2208.03763","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.03763","created_at":"2026-07-05T04:46:44Z"},{"alias_kind":"arxiv_version","alias_value":"2208.03763v1","created_at":"2026-07-05T04:46:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.03763","created_at":"2026-07-05T04:46:44Z"},{"alias_kind":"pith_short_12","alias_value":"MK6FKVLF34DM","created_at":"2026-07-05T04:46:44Z"},{"alias_kind":"pith_short_16","alias_value":"MK6FKVLF34DMRYOF","created_at":"2026-07-05T04:46:44Z"},{"alias_kind":"pith_short_8","alias_value":"MK6FKVLF","created_at":"2026-07-05T04:46:44Z"}],"graph_snapshots":[{"event_id":"sha256:3b35eec9a5624b609ea1a7c803ef0fe1ce436c95348ea2fe6286af97d98e0a76","target":"graph","created_at":"2026-07-05T04:46:44Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2208.03763/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise visual relationships in a given image. Although SGG has achieved remarkable progress over the last few years, almost all existing SGG models follow the same training paradigm: they treat both object and predicate classification in SGG as a single-label classification problem, and the ground-truths are one-hot target labels. However, this prevalent training paradigm has overlooked two characteristics of current SGG datasets: 1) For positive samples, some specific subject-object instances may have multiple re","authors_text":"Hanrong Shi, Jian Shao, Jun Xiao, Lin Li, Long Chen, Wenxiao Wang, Yi Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-07T16:19:19Z","title":"Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.03763","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:c4e79a01290a8f342e265a948d3e84e2acb0c314b2232ab4c8c9191f703227dd","target":"record","created_at":"2026-07-05T04:46:44Z","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":"d3c54d8a4d5d014eddb14ffb2007e2f9848cfc56e357369754824a80d9145b9e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-07T16:19:19Z","title_canon_sha256":"ac721d50f374e9e20a4951951bce977b75a1a197cbf9f6067833919b1d129236"},"schema_version":"1.0","source":{"id":"2208.03763","kind":"arxiv","version":1}},"canonical_sha256":"62bc555565df06c8e1c57e26a23c2053df3f2d60e7d41d708ff50142b02a51d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62bc555565df06c8e1c57e26a23c2053df3f2d60e7d41d708ff50142b02a51d5","first_computed_at":"2026-07-05T04:46:44.421849Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:46:44.421849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yXnmU36+agmIYL/OCV0j7ZQdnd1o98cLJycxtxkrpVgnKUqfI4pODMxKug7Ah3EjZtVimjFRoJeE5VlqwFc9CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:46:44.422203Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.03763","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4e79a01290a8f342e265a948d3e84e2acb0c314b2232ab4c8c9191f703227dd","sha256:3b35eec9a5624b609ea1a7c803ef0fe1ce436c95348ea2fe6286af97d98e0a76"],"state_sha256":"0ef49d660e91093f09394a33439f2ec31334e5881ae854392cc2625ce936cd61"}