{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RHYZR5JDGW7WGQX4AFDXP3EKFK","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":"2e4661099f5ab2759b2c07e0d3c0ae6d248944ba8e29bcbe572701797dfb7d01","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-08T17:28:22Z","title_canon_sha256":"d9cb6cc743e39d664d2d5572d3554b991748b2c6fac0509c4675eafd4c6fcf43"},"schema_version":"1.0","source":{"id":"2409.05162","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.05162","created_at":"2026-07-05T09:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2409.05162v1","created_at":"2026-07-05T09:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.05162","created_at":"2026-07-05T09:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"RHYZR5JDGW7W","created_at":"2026-07-05T09:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"RHYZR5JDGW7WGQX4","created_at":"2026-07-05T09:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"RHYZR5JD","created_at":"2026-07-05T09:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:8116eab676d456c8002c3faaea3e4d313ed23b311cdf4b7a422d67bb97ea9624","target":"graph","created_at":"2026-07-05T09:04:44Z","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/2409.05162/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Out-of-distribution (OOD) object detection is a challenging task due to the absence of open-set OOD data. Inspired by recent advancements in text-to-image generative models, such as Stable Diffusion, we study the potential of generative models trained on large-scale open-set data to synthesize OOD samples, thereby enhancing OOD object detection. We introduce SyncOOD, a simple data curation method that capitalizes on the capabilities of large foundation models to automatically extract meaningful OOD data from text-to-image generative models. This offers the model access to open-world knowledge ","authors_text":"Jiahui Liu, Shizhen Zhao, Xiaojuan Qi, Xin Wen, Yingxian Chen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-08T17:28:22Z","title":"Can OOD Object Detectors Learn from Foundation Models?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.05162","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":"sha256:0cae2315c4635553b844172cc7cbcbb6162d05a012a4d61f847e82c6708de80f","target":"record","created_at":"2026-07-05T09:04:44Z","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":"2e4661099f5ab2759b2c07e0d3c0ae6d248944ba8e29bcbe572701797dfb7d01","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-08T17:28:22Z","title_canon_sha256":"d9cb6cc743e39d664d2d5572d3554b991748b2c6fac0509c4675eafd4c6fcf43"},"schema_version":"1.0","source":{"id":"2409.05162","kind":"arxiv","version":1}},"canonical_sha256":"89f198f52335bf6342fc014777ec8a2aa187fd384ff409d3be50d6d5eec49468","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89f198f52335bf6342fc014777ec8a2aa187fd384ff409d3be50d6d5eec49468","first_computed_at":"2026-07-05T09:04:44.838754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:04:44.838754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/AOiHQdPoO/ruamuxyWjyFDe/HKjQTdIy8qV+chfJKpQVNt5WJysPoLaucrRK70HsM1ChhKQNR1EJywUMhkcCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:04:44.839109Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.05162","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cae2315c4635553b844172cc7cbcbb6162d05a012a4d61f847e82c6708de80f","sha256:8116eab676d456c8002c3faaea3e4d313ed23b311cdf4b7a422d67bb97ea9624"],"state_sha256":"379e493860f389aaca88e95cba63ac9da2a7630fff0528bcd3dac061fdae973b"}