{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DNY6KKPGIDZSIVWVM3IX4XPYGZ","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":"141b132b742332e4f10eb1e4ff684f5925dc0e5c7bf4b89be402bcbfb98d72c3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T06:35:24Z","title_canon_sha256":"68a73240a9bee717a16bff9af991bf0b1982a2eab23187c30bc1bbf1ea103913"},"schema_version":"1.0","source":{"id":"2103.15365","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15365","created_at":"2026-07-05T03:07:28Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15365v2","created_at":"2026-07-05T03:07:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15365","created_at":"2026-07-05T03:07:28Z"},{"alias_kind":"pith_short_12","alias_value":"DNY6KKPGIDZS","created_at":"2026-07-05T03:07:28Z"},{"alias_kind":"pith_short_16","alias_value":"DNY6KKPGIDZSIVWV","created_at":"2026-07-05T03:07:28Z"},{"alias_kind":"pith_short_8","alias_value":"DNY6KKPG","created_at":"2026-07-05T03:07:28Z"}],"graph_snapshots":[{"event_id":"sha256:662e4781106564116b9721769e195af253543eebca26abf365f4487692d555d2","target":"graph","created_at":"2026-07-05T03:07:28Z","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/2103.15365/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scene graph generation aims to identify objects and their relations in images, providing structured image representations that can facilitate numerous applications in computer vision. However, scene graph models usually require supervised learning on large quantities of labeled data with intensive human annotation. In this work, we propose visual distant supervision, a novel paradigm of visual relation learning, which can train scene graph models without any human-labeled data. The intuition is that by aligning commonsense knowledge bases and images, we can automatically create large-scale lab","authors_text":"Ao Zhang, Cornelius Weber, Maosong Sun, Mengdi Li, Stefan Wermter, Xu Han, Yuan Yao, Zhiyuan Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T06:35:24Z","title":"Visual Distant Supervision for Scene Graph Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15365","kind":"arxiv","version":2},"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":"sha256:272a5b1e4720ea7a1243f761f660dec0469d33e777c79eea0daef30eb902bfd8","target":"record","created_at":"2026-07-05T03:07:28Z","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":"141b132b742332e4f10eb1e4ff684f5925dc0e5c7bf4b89be402bcbfb98d72c3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T06:35:24Z","title_canon_sha256":"68a73240a9bee717a16bff9af991bf0b1982a2eab23187c30bc1bbf1ea103913"},"schema_version":"1.0","source":{"id":"2103.15365","kind":"arxiv","version":2}},"canonical_sha256":"1b71e529e640f32456d566d17e5df8365c436375dd31412c5e8c2d8d23ff40c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b71e529e640f32456d566d17e5df8365c436375dd31412c5e8c2d8d23ff40c7","first_computed_at":"2026-07-05T03:07:28.106509Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:07:28.106509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KGUlFcOgpHvBGIJtSTPKbSl//GjU7NVfUJ4ZAv7yr4QBR30yHnTumllax6Rrm4m2ZTBY8wJNWIRnVkA8C/NOBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:07:28.106990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.15365","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:272a5b1e4720ea7a1243f761f660dec0469d33e777c79eea0daef30eb902bfd8","sha256:662e4781106564116b9721769e195af253543eebca26abf365f4487692d555d2"],"state_sha256":"93c7a596138453f785551edbc0058e2e3ece6d278828de240a195fed6d775247"}