{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZH62DNJ6KBUPCDUFSICOCTDT66","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":"12c76a912880e829d965deab382347adaec62cd55ec8c3a6751cb10c6822f1a0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-23T08:36:46Z","title_canon_sha256":"1bf7174c473a591bca7a166b8592703aa50523d103ad9609a4931120288d0956"},"schema_version":"1.0","source":{"id":"1903.09784","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.09784","created_at":"2026-05-17T23:50:35Z"},{"alias_kind":"arxiv_version","alias_value":"1903.09784v1","created_at":"2026-05-17T23:50:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.09784","created_at":"2026-05-17T23:50:35Z"},{"alias_kind":"pith_short_12","alias_value":"ZH62DNJ6KBUP","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZH62DNJ6KBUPCDUF","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZH62DNJ6","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:1024d9230074495260d06fed5d83f41a82b689cd66afdb3afc718a32d862be30","target":"graph","created_at":"2026-05-17T23:50:35Z","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":"Socially-intelligent agents are of growing interest in artificial intelligence. To this end, we need systems that can understand social relationships in diverse social contexts. Inferring the social context in a given visual scene not only involves recognizing objects, but also demands a more in-depth understanding of the relationships and attributes of the people involved. To achieve this, one computational approach for representing human relationships and attributes is to use an explicit knowledge graph, which allows for high-level reasoning. We introduce a novel end-to-end-trainable neural ","authors_text":"Arushi Goel, Cheston Tan, Keng Teck Ma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-23T08:36:46Z","title":"An End-to-End Network for Generating Social Relationship Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.09784","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":"sha256:5e11fb62ce94002359670a1721115827794de1795aeb8ab8c2621bec130e618f","target":"record","created_at":"2026-05-17T23:50:35Z","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":"12c76a912880e829d965deab382347adaec62cd55ec8c3a6751cb10c6822f1a0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-23T08:36:46Z","title_canon_sha256":"1bf7174c473a591bca7a166b8592703aa50523d103ad9609a4931120288d0956"},"schema_version":"1.0","source":{"id":"1903.09784","kind":"arxiv","version":1}},"canonical_sha256":"c9fda1b53e5068f10e859204e14c73f7bf5c73cc4eeee6769dfe17f0caaaba3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9fda1b53e5068f10e859204e14c73f7bf5c73cc4eeee6769dfe17f0caaaba3b","first_computed_at":"2026-05-17T23:50:35.536937Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:35.536937Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EZpau6bKxh7d+RYJsBgXLhVRZSwsF5KikclV1Xkbta7/0UE4KC68KgQejvyZY18jk1Am4s26XRnkfaUrTPDfBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:35.537653Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.09784","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e11fb62ce94002359670a1721115827794de1795aeb8ab8c2621bec130e618f","sha256:1024d9230074495260d06fed5d83f41a82b689cd66afdb3afc718a32d862be30"],"state_sha256":"dd6589f9513816df90b6f7f301cc0774fb2a3e7656bf2766366b93703ca237d1"}