{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PYK5LL5NKW623QKG6IJ7STPTNP","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":"02c6ef03da147bfa581b54d03c25d256319ec32d862ae42dffb64598639f7c71","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:03:53Z","title_canon_sha256":"96d30f3e699973a683543f2423e2aaef9db03dc128e4b05a0fd2404d21ed09c2"},"schema_version":"1.0","source":{"id":"2505.09168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.09168","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.09168v1","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.09168","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_12","alias_value":"PYK5LL5NKW62","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_16","alias_value":"PYK5LL5NKW623QKG","created_at":"2026-07-05T11:02:51Z"},{"alias_kind":"pith_short_8","alias_value":"PYK5LL5N","created_at":"2026-07-05T11:02:51Z"}],"graph_snapshots":[{"event_id":"sha256:2fc41ceab44ddafbbae44c0b9db8a2068801602dc778465b4c69fb1352f7b7e0","target":"graph","created_at":"2026-07-05T11:02:51Z","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/2505.09168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The core challenge in Camouflage Object Detection (COD) lies in the indistinguishable similarity between targets and backgrounds in terms of color, texture, and shape. This causes existing methods to either lose edge details (such as hair-like fine structures) due to over-reliance on global semantic information or be disturbed by similar backgrounds (such as vegetation patterns) when relying solely on local features. We propose DRRNet, a four-stage architecture characterized by a \"context-detail-fusion-refinement\" pipeline to address these issues. Specifically, we introduce an Omni-Context Fea","authors_text":"Dongdong Gui, Jianlin Sun, Juwei Guan, Teqi Wang, Tongxin Zhu, Xiaolin Fang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:03:53Z","title":"DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.09168","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:bbe0e6079704601ef38c2983776574f176484b23e74473a1e31a0cd15768554f","target":"record","created_at":"2026-07-05T11:02:51Z","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":"02c6ef03da147bfa581b54d03c25d256319ec32d862ae42dffb64598639f7c71","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-14T06:03:53Z","title_canon_sha256":"96d30f3e699973a683543f2423e2aaef9db03dc128e4b05a0fd2404d21ed09c2"},"schema_version":"1.0","source":{"id":"2505.09168","kind":"arxiv","version":1}},"canonical_sha256":"7e15d5afad55bdadc146f213f94df36bd65d307e6043c54a2c487bec98bf990f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e15d5afad55bdadc146f213f94df36bd65d307e6043c54a2c487bec98bf990f","first_computed_at":"2026-07-05T11:02:51.455883Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:51.455883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UsfZHz82C9SLRtqrJnLH1Ffxp5Z21tmS8rNfcA4Umm0iEdYFAQAnFFlvSFAIWGFdsZ1p23Kzjmq+shAtuI46AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:51.456310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.09168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbe0e6079704601ef38c2983776574f176484b23e74473a1e31a0cd15768554f","sha256:2fc41ceab44ddafbbae44c0b9db8a2068801602dc778465b4c69fb1352f7b7e0"],"state_sha256":"3c9c26ce4a877321ecfbbcca036ce72bc3a39b71820e5917c30d9d0592b76189"}