{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:DSNHIGSIZHWMBDZHVZ23HLD4GO","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":"6d9032acfd477c969b6f26e6f01da4aff30f28035fd5e63bd2226c7099f096a1","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T09:56:04Z","title_canon_sha256":"f580cf4e0076ba5b13dd8c8e1a4c0bbf9afb1d9c704bf3584dd889fe6277d15c"},"schema_version":"1.0","source":{"id":"1511.04891","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.04891","created_at":"2026-05-18T01:17:52Z"},{"alias_kind":"arxiv_version","alias_value":"1511.04891v4","created_at":"2026-05-18T01:17:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04891","created_at":"2026-05-18T01:17:52Z"},{"alias_kind":"pith_short_12","alias_value":"DSNHIGSIZHWM","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_16","alias_value":"DSNHIGSIZHWMBDZH","created_at":"2026-05-18T12:29:17Z"},{"alias_kind":"pith_short_8","alias_value":"DSNHIGSI","created_at":"2026-05-18T12:29:17Z"}],"graph_snapshots":[{"event_id":"sha256:f39444b0f36f822f277489f9abe88cce6a9cbb95e35ad5774baed32cefa5815d","target":"graph","created_at":"2026-05-18T01:17:52Z","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":"We study scalable and uniform understanding of facts in images. Existing visual recognition systems are typically modeled differently for each fact type such as objects, actions, and interactions. We propose a setting where all these facts can be modeled simultaneously with a capacity to understand unbounded number of facts in a structured way. The training data comes as structured facts in images, including (1) objects (e.g., $<$boy$>$), (2) attributes (e.g., $<$boy, tall$>$), (3) actions (e.g., $<$boy, playing$>$), and (4) interactions (e.g., $<$boy, riding, a horse $>$). Each fact has a sem","authors_text":"Ahmed Elgammal, Brian Price, Mohamed Elhoseiny, Scott Cohen, Walter Chang","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T09:56:04Z","title":"Sherlock: Scalable Fact Learning in Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04891","kind":"arxiv","version":4},"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:f755449e4c6118ebe333020242a7c80b4934312ee4d8527c6b143fdbdb7a1832","target":"record","created_at":"2026-05-18T01:17:52Z","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":"6d9032acfd477c969b6f26e6f01da4aff30f28035fd5e63bd2226c7099f096a1","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T09:56:04Z","title_canon_sha256":"f580cf4e0076ba5b13dd8c8e1a4c0bbf9afb1d9c704bf3584dd889fe6277d15c"},"schema_version":"1.0","source":{"id":"1511.04891","kind":"arxiv","version":4}},"canonical_sha256":"1c9a741a48c9ecc08f27ae75b3ac7c338a0f2f986074ed4d1e97ef27fd897bc4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c9a741a48c9ecc08f27ae75b3ac7c338a0f2f986074ed4d1e97ef27fd897bc4","first_computed_at":"2026-05-18T01:17:52.251514Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:52.251514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qWJhuz3n6WBU+URyhOoyS7Sf/W4kJxuIosvlYNN4gbzfMo1S53xbdZ8njPQyft686n9fuenyWb+hH9FB/QE7Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:52.252170Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.04891","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f755449e4c6118ebe333020242a7c80b4934312ee4d8527c6b143fdbdb7a1832","sha256:f39444b0f36f822f277489f9abe88cce6a9cbb95e35ad5774baed32cefa5815d"],"state_sha256":"b46ce12616972857a84f02b0af2c13ae5c2f3a3cf221c0edd01333dfa7ff2200"}