{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:PIWNHA5WZ5VD7ADBDKUIXKZJU5","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":"75b180a3d07026f189f5a48bc24a206b77ecd488ff39db6475bb56c1eb34c642","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-08-09T22:44:14Z","title_canon_sha256":"7c25b3eec094ebd740f7f64d440979ad059cb96b4ba327c5a4da4b375ea42764"},"schema_version":"1.0","source":{"id":"1908.03651","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.03651","created_at":"2026-07-04T23:52:43Z"},{"alias_kind":"arxiv_version","alias_value":"1908.03651v1","created_at":"2026-07-04T23:52:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03651","created_at":"2026-07-04T23:52:43Z"},{"alias_kind":"pith_short_12","alias_value":"PIWNHA5WZ5VD","created_at":"2026-07-04T23:52:43Z"},{"alias_kind":"pith_short_16","alias_value":"PIWNHA5WZ5VD7ADB","created_at":"2026-07-04T23:52:43Z"},{"alias_kind":"pith_short_8","alias_value":"PIWNHA5W","created_at":"2026-07-04T23:52:43Z"}],"graph_snapshots":[{"event_id":"sha256:0ac539b87b030e9dd6d7eebd24f709b103b5fa0dc4e44ca8a8c1e0090bd5c82a","target":"graph","created_at":"2026-07-04T23:52:43Z","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/1908.03651/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work we propose a novel technique to quantify how distracting watermarks are on an image. We begin with watermark detection using a two-tower CNN model composed of a binary classification task and a semantic segmentation prediction. With this model, we demonstrate significant improvement in image precision while maintaining per-pixel accuracy, especially for our real-world dataset with sparse positive examples. We fit a nonlinear function to represent detected watermarks by a single score correlated with human perception based on their size, location, and visual obstructiveness. Finall","authors_text":"Aurelia Guy, Sema Berkiten","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-08-09T22:44:14Z","title":"A Distraction Score for Watermarks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03651","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:cbad912a9700ea43a268311b2f32bf1e89dab5879c98d45089eee23846b5627e","target":"record","created_at":"2026-07-04T23:52:43Z","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":"75b180a3d07026f189f5a48bc24a206b77ecd488ff39db6475bb56c1eb34c642","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-08-09T22:44:14Z","title_canon_sha256":"7c25b3eec094ebd740f7f64d440979ad059cb96b4ba327c5a4da4b375ea42764"},"schema_version":"1.0","source":{"id":"1908.03651","kind":"arxiv","version":1}},"canonical_sha256":"7a2cd383b6cf6a3f80611aa88bab29a743e9d3862b1cd9263707618b2c8da681","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a2cd383b6cf6a3f80611aa88bab29a743e9d3862b1cd9263707618b2c8da681","first_computed_at":"2026-07-04T23:52:43.370354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:52:43.370354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"axJabu3uWBbnzs0BFIiNx6egIN3skLzeo55pXuRs1q2oRfVtyd6voQBe6B0xmf2RMVcdtVS8G1+8AXx3/uHRCw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:52:43.370723Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.03651","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cbad912a9700ea43a268311b2f32bf1e89dab5879c98d45089eee23846b5627e","sha256:0ac539b87b030e9dd6d7eebd24f709b103b5fa0dc4e44ca8a8c1e0090bd5c82a"],"state_sha256":"d87a2e1b0354be37b08d16e9315088136693f0f40080e7305e9621d0e1a35e3d"}