{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ARDFLWGJT7SUH4JAN7LERSNBNF","short_pith_number":"pith:ARDFLWGJ","canonical_record":{"source":{"id":"2008.05413","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T16:08:36Z","cross_cats_sorted":[],"title_canon_sha256":"71ab5d9f140a4ce92ccf0cfd01813ac4aaaee9913951472ce1df46acfc821e07","abstract_canon_sha256":"df7516bdd7d6c0282d6c8600612d5b64719e6539160b4509526c5738a53e3324"},"schema_version":"1.0"},"canonical_sha256":"044655d8c99fe543f1206fd648c9a169777451ded10775d79338d5cde9e95964","source":{"kind":"arxiv","id":"2008.05413","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05413","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05413v1","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05413","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"pith_short_12","alias_value":"ARDFLWGJT7SU","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"pith_short_16","alias_value":"ARDFLWGJT7SUH4JA","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"pith_short_8","alias_value":"ARDFLWGJ","created_at":"2026-07-05T01:26:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ARDFLWGJT7SUH4JAN7LERSNBNF","target":"record","payload":{"canonical_record":{"source":{"id":"2008.05413","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T16:08:36Z","cross_cats_sorted":[],"title_canon_sha256":"71ab5d9f140a4ce92ccf0cfd01813ac4aaaee9913951472ce1df46acfc821e07","abstract_canon_sha256":"df7516bdd7d6c0282d6c8600612d5b64719e6539160b4509526c5738a53e3324"},"schema_version":"1.0"},"canonical_sha256":"044655d8c99fe543f1206fd648c9a169777451ded10775d79338d5cde9e95964","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:26:46.759857Z","signature_b64":"+X0Q/2hdlPYUCYyzeZF3Ypy/foCIhdhOO9PNmG/7iGPymtr8aVx/2C/NIJRKdN/tdXslwFOlLFMEW+imfP3kDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"044655d8c99fe543f1206fd648c9a169777451ded10775d79338d5cde9e95964","last_reissued_at":"2026-07-05T01:26:46.759369Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:26:46.759369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.05413","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:26:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NRMAGBchp1n2dn0nCN/dAXheN6KkGvumHjL0aM1jf2tVVOmZ7NArHTPySJwHpxP707Szh/S929Kn3+nJmnuFBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:50:59.763342Z"},"content_sha256":"8d6d8f1017813b437b31a06f01f8af53c844f3921911ca109ae020479afb01ac","schema_version":"1.0","event_id":"sha256:8d6d8f1017813b437b31a06f01f8af53c844f3921911ca109ae020479afb01ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ARDFLWGJT7SUH4JAN7LERSNBNF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Look here! A parametric learning based approach to redirect visual attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Celso F. Gomez, Eli Shechtman, Kwang In Kim, Youssef Alami Mejjati, Zoya Bylinskii","submitted_at":"2020-08-12T16:08:36Z","abstract_excerpt":"Across photography, marketing, and website design, being able to direct the viewer's attention is a powerful tool. Motivated by professional workflows, we introduce an automatic method to make an image region more attention-capturing via subtle image edits that maintain realism and fidelity to the original. From an input image and a user-provided mask, our GazeShiftNet model predicts a distinct set of global parametric transformations to be applied to the foreground and background image regions separately. We present the results of quantitative and qualitative experiments that demonstrate impr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05413","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.05413/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:26:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AFmIQ75iONlID6kcuQpENw0IhpmYQqrR8HKFQwc/jPtkB9FsF5C9rYiaZz+opl9O1SOTgGIJd+WUzIsLolL9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:50:59.763896Z"},"content_sha256":"6048d72b8efd0b80ad1f2410330350c432b40227c0c5835b2296b14007dbbba4","schema_version":"1.0","event_id":"sha256:6048d72b8efd0b80ad1f2410330350c432b40227c0c5835b2296b14007dbbba4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ARDFLWGJT7SUH4JAN7LERSNBNF/bundle.json","state_url":"https://pith.science/pith/ARDFLWGJT7SUH4JAN7LERSNBNF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ARDFLWGJT7SUH4JAN7LERSNBNF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T13:50:59Z","links":{"resolver":"https://pith.science/pith/ARDFLWGJT7SUH4JAN7LERSNBNF","bundle":"https://pith.science/pith/ARDFLWGJT7SUH4JAN7LERSNBNF/bundle.json","state":"https://pith.science/pith/ARDFLWGJT7SUH4JAN7LERSNBNF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ARDFLWGJT7SUH4JAN7LERSNBNF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ARDFLWGJT7SUH4JAN7LERSNBNF","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":"df7516bdd7d6c0282d6c8600612d5b64719e6539160b4509526c5738a53e3324","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T16:08:36Z","title_canon_sha256":"71ab5d9f140a4ce92ccf0cfd01813ac4aaaee9913951472ce1df46acfc821e07"},"schema_version":"1.0","source":{"id":"2008.05413","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.05413","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"arxiv_version","alias_value":"2008.05413v1","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.05413","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"pith_short_12","alias_value":"ARDFLWGJT7SU","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"pith_short_16","alias_value":"ARDFLWGJT7SUH4JA","created_at":"2026-07-05T01:26:46Z"},{"alias_kind":"pith_short_8","alias_value":"ARDFLWGJ","created_at":"2026-07-05T01:26:46Z"}],"graph_snapshots":[{"event_id":"sha256:6048d72b8efd0b80ad1f2410330350c432b40227c0c5835b2296b14007dbbba4","target":"graph","created_at":"2026-07-05T01:26:46Z","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/2008.05413/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Across photography, marketing, and website design, being able to direct the viewer's attention is a powerful tool. Motivated by professional workflows, we introduce an automatic method to make an image region more attention-capturing via subtle image edits that maintain realism and fidelity to the original. From an input image and a user-provided mask, our GazeShiftNet model predicts a distinct set of global parametric transformations to be applied to the foreground and background image regions separately. We present the results of quantitative and qualitative experiments that demonstrate impr","authors_text":"Celso F. Gomez, Eli Shechtman, Kwang In Kim, Youssef Alami Mejjati, Zoya Bylinskii","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T16:08:36Z","title":"Look here! A parametric learning based approach to redirect visual attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.05413","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":"sha256:8d6d8f1017813b437b31a06f01f8af53c844f3921911ca109ae020479afb01ac","target":"record","created_at":"2026-07-05T01:26:46Z","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":"df7516bdd7d6c0282d6c8600612d5b64719e6539160b4509526c5738a53e3324","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-12T16:08:36Z","title_canon_sha256":"71ab5d9f140a4ce92ccf0cfd01813ac4aaaee9913951472ce1df46acfc821e07"},"schema_version":"1.0","source":{"id":"2008.05413","kind":"arxiv","version":1}},"canonical_sha256":"044655d8c99fe543f1206fd648c9a169777451ded10775d79338d5cde9e95964","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"044655d8c99fe543f1206fd648c9a169777451ded10775d79338d5cde9e95964","first_computed_at":"2026-07-05T01:26:46.759369Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:26:46.759369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+X0Q/2hdlPYUCYyzeZF3Ypy/foCIhdhOO9PNmG/7iGPymtr8aVx/2C/NIJRKdN/tdXslwFOlLFMEW+imfP3kDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:26:46.759857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.05413","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d6d8f1017813b437b31a06f01f8af53c844f3921911ca109ae020479afb01ac","sha256:6048d72b8efd0b80ad1f2410330350c432b40227c0c5835b2296b14007dbbba4"],"state_sha256":"d98e1e3c47cb295f7e35f9ef08fb9a0597465572c330a62aea73473c673668fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qROQ63v1c4//NbXD+lQCbE7cD8TrhXSt5iwIdZ0Bv034vfedsudCNF1mn6h3X2ay2IChQUKYLpGRt01fEvrSDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T13:50:59.767385Z","bundle_sha256":"f31dccddff67e2c0a5a4e0d0534b61d6333c4a78f993adb0e66bde3e926de213"}}