{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JGMY4JEL5LQLPKPPKVTMKCSBZ5","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":"a90edeada6292c441dadef407595eb6dda31f16bf037ce331443d3baffec6223","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T14:09:47Z","title_canon_sha256":"589ebd9494c0f88858a10987d34adcd08cfbeb57052e23c3da6922f01a69d9dd"},"schema_version":"1.0","source":{"id":"1803.05759","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.05759","created_at":"2026-05-18T00:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"1803.05759v1","created_at":"2026-05-18T00:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.05759","created_at":"2026-05-18T00:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"JGMY4JEL5LQL","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JGMY4JEL5LQLPKPP","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JGMY4JEL","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:6ddc6cd71e586006556473c87196ed2b101a60cad3bcb9273d6a9fc676d7bac2","target":"graph","created_at":"2026-05-18T00:20:54Z","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"},"paper":{"abstract_excerpt":"Saliency prediction is a well studied problem in computer vision. Early saliency models were based on low-level hand-crafted feature derived from insights gained in neuroscience and psychophysics. In the wake of deep learning breakthrough, a new cohort of models were proposed based on neural network architectures, allowing significantly higher gaze prediction than previous shallow models, on all metrics.\n  However, most models treat the saliency prediction as a \\textit{regression} problem, and accurate regression of high-dimensional data is known to be a hard problem. Furthermore, it is unclea","authors_text":"Nicolas Pugeault, Sen He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T14:09:47Z","title":"Salient Region Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.05759","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":"sha256:9ca662adee286edcb34274053ffe5bf49abb3dd8e84b0fb689e1d8ef66822274","target":"record","created_at":"2026-05-18T00:20:54Z","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":"a90edeada6292c441dadef407595eb6dda31f16bf037ce331443d3baffec6223","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-15T14:09:47Z","title_canon_sha256":"589ebd9494c0f88858a10987d34adcd08cfbeb57052e23c3da6922f01a69d9dd"},"schema_version":"1.0","source":{"id":"1803.05759","kind":"arxiv","version":1}},"canonical_sha256":"49998e248beae0b7a9ef5566c50a41cf5e6bf2a991bf18f73e5d7578756781fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49998e248beae0b7a9ef5566c50a41cf5e6bf2a991bf18f73e5d7578756781fd","first_computed_at":"2026-05-18T00:20:54.739710Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:54.739710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fnFIHodIKOvKY4qj0KFZEz6+wVz+Dv9mRNNcF54Vg01Fvs9C7OgxDxiZ5zyBjowdTodnpyn4sP7U7PPffedcDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:54.740120Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.05759","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ca662adee286edcb34274053ffe5bf49abb3dd8e84b0fb689e1d8ef66822274","sha256:6ddc6cd71e586006556473c87196ed2b101a60cad3bcb9273d6a9fc676d7bac2"],"state_sha256":"10f0a221abf5265a519cd10a532aba7f14bfac9739e6f60a54b3511c2eb5a11d"}