{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WC5CHEEN6XM7T5LTC5JRYVUHWJ","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":"62150d70fcb4174ddde0b8fee42e225cba2288a792a6269a7e93dca056276858","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T19:37:47Z","title_canon_sha256":"9d31297113196a073327237e706aacd5c99e54fa576897538d5954b9918581c2"},"schema_version":"1.0","source":{"id":"2304.05469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.05469","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"arxiv_version","alias_value":"2304.05469v1","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.05469","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_12","alias_value":"WC5CHEEN6XM7","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_16","alias_value":"WC5CHEEN6XM7T5LT","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_8","alias_value":"WC5CHEEN","created_at":"2026-07-05T06:00:18Z"}],"graph_snapshots":[{"event_id":"sha256:b82e61b53bf339ee13304d250371c191813ff1dbe897117f158b1091f97b92ab","target":"graph","created_at":"2026-07-05T06:00:18Z","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/2304.05469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The burgeoning field of camouflaged object detection (COD) seeks to identify objects that blend into their surroundings. Despite the impressive performance of recent models, we have identified a limitation in their robustness, where existing methods may misclassify salient objects as camouflaged ones, despite these two characteristics being contradictory. This limitation may stem from lacking multi-pattern training images, leading to less saliency robustness. To address this issue, we introduce CamDiff, a novel approach inspired by AI-Generated Content (AIGC) that overcomes the scarcity of mul","authors_text":"Christos Sakaridis, Deng-Ping Fan, Luc Van Gool, Shuo Wang, Xue-Jing Luo, Yun Cheng, Zongwei Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T19:37:47Z","title":"CamDiff: Camouflage Image Augmentation via Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.05469","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":"sha256:6c35414ebee9b4c4866ca057263e61bb9ee94e0a6d914bfb9a7e4f0c9ce188cd","target":"record","created_at":"2026-07-05T06:00:18Z","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":"62150d70fcb4174ddde0b8fee42e225cba2288a792a6269a7e93dca056276858","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T19:37:47Z","title_canon_sha256":"9d31297113196a073327237e706aacd5c99e54fa576897538d5954b9918581c2"},"schema_version":"1.0","source":{"id":"2304.05469","kind":"arxiv","version":1}},"canonical_sha256":"b0ba23908df5d9f9f57317531c5687b24df6edd4843a5959a5edda7077af30dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0ba23908df5d9f9f57317531c5687b24df6edd4843a5959a5edda7077af30dc","first_computed_at":"2026-07-05T06:00:18.934732Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:00:18.934732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TwvEB4OhRA2ghBTdfnhy67CradHaYpr6BnDFsgNFO4IDKL69QagNRzIQXIAmrGARzYgXy40KG5uUn6fwBqGgAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:00:18.935248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.05469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c35414ebee9b4c4866ca057263e61bb9ee94e0a6d914bfb9a7e4f0c9ce188cd","sha256:b82e61b53bf339ee13304d250371c191813ff1dbe897117f158b1091f97b92ab"],"state_sha256":"e2a89cb5fc15ba154ce3f79549b53351fb198e6893bcd955ca4095b7d45433eb"}