{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:BDXNRCG6JXYM2HCWGUMDIL46KL","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":"51ecbf628410f3e4df46a17f578ca09394d9ff37a283fce997c69b8c66abe705","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-17T19:45:28Z","title_canon_sha256":"c64fdb9231ed9661a64c52ad16e8a784c961fd658bb332129b7ee30ecebb3090"},"schema_version":"1.0","source":{"id":"2108.07851","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.07851","created_at":"2026-07-05T06:42:55Z"},{"alias_kind":"arxiv_version","alias_value":"2108.07851v6","created_at":"2026-07-05T06:42:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.07851","created_at":"2026-07-05T06:42:55Z"},{"alias_kind":"pith_short_12","alias_value":"BDXNRCG6JXYM","created_at":"2026-07-05T06:42:55Z"},{"alias_kind":"pith_short_16","alias_value":"BDXNRCG6JXYM2HCW","created_at":"2026-07-05T06:42:55Z"},{"alias_kind":"pith_short_8","alias_value":"BDXNRCG6","created_at":"2026-07-05T06:42:55Z"}],"graph_snapshots":[{"event_id":"sha256:f07c12dba3e6c3868e0a3e177246ca483661aa6a13d0d5fadba41b688567b065","target":"graph","created_at":"2026-07-05T06:42:55Z","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/2108.07851/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing salient object detection (SOD) methods mainly rely on U-shaped convolution neural networks (CNNs) with skip connections to combine the global contexts and local spatial details that are crucial for locating salient objects and refining object details, respectively. Despite great successes, the ability of CNNs in learning global contexts is limited. Recently, the vision transformer has achieved revolutionary progress in computer vision owing to its powerful modeling of global dependencies. However, directly applying the transformer to SOD is suboptimal because the transformer lacks the","authors_text":"Jing Xu, Le Zhang, Yun Liu, Yu Qiu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-17T19:45:28Z","title":"Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.07851","kind":"arxiv","version":6},"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":"sha256:26d42e9f194a45c52dcd20c5666cde8faa593655a7a6cb5ff802e4c62bc42cb3","target":"record","created_at":"2026-07-05T06:42:55Z","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":"51ecbf628410f3e4df46a17f578ca09394d9ff37a283fce997c69b8c66abe705","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-17T19:45:28Z","title_canon_sha256":"c64fdb9231ed9661a64c52ad16e8a784c961fd658bb332129b7ee30ecebb3090"},"schema_version":"1.0","source":{"id":"2108.07851","kind":"arxiv","version":6}},"canonical_sha256":"08eed888de4df0cd1c563518342f9e52ce828cb572c1624c98d5a6cd83a10e5a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08eed888de4df0cd1c563518342f9e52ce828cb572c1624c98d5a6cd83a10e5a","first_computed_at":"2026-07-05T06:42:55.127114Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:55.127114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gqr0FdVCgNHW3/Z+oMISdA5x/DxjrYOnuZnOe0Ecbsr9ThlRxVU3elkK8T5lqSSlywI18I3u1PseaTS7WI49CA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:55.127667Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.07851","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26d42e9f194a45c52dcd20c5666cde8faa593655a7a6cb5ff802e4c62bc42cb3","sha256:f07c12dba3e6c3868e0a3e177246ca483661aa6a13d0d5fadba41b688567b065"],"state_sha256":"f73da558617a2f123126fcf2e3a03303c38b483ef2e2f76db03dd789af1414e6"}