{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:5TOFC6GSW4U7Y3W24EAGC5HSNQ","short_pith_number":"pith:5TOFC6GS","canonical_record":{"source":{"id":"1711.08000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-21T19:10:44Z","cross_cats_sorted":[],"title_canon_sha256":"70da67d64dc094cc4fc2a50c684be0ad3e0030f00d422a96fab31f597970b0e1","abstract_canon_sha256":"d37d41d5cae26a77b47cca9722c01f0c13f7ec6d5f6b95c14f35f8842793045e"},"schema_version":"1.0"},"canonical_sha256":"ecdc5178d2b729fc6edae1006174f26c1d85f7fb0a8b7146abcd550f38891336","source":{"kind":"arxiv","id":"1711.08000","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08000","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08000v1","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08000","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"pith_short_12","alias_value":"5TOFC6GSW4U7","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"5TOFC6GSW4U7Y3W2","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"5TOFC6GS","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:5TOFC6GSW4U7Y3W24EAGC5HSNQ","target":"record","payload":{"canonical_record":{"source":{"id":"1711.08000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-21T19:10:44Z","cross_cats_sorted":[],"title_canon_sha256":"70da67d64dc094cc4fc2a50c684be0ad3e0030f00d422a96fab31f597970b0e1","abstract_canon_sha256":"d37d41d5cae26a77b47cca9722c01f0c13f7ec6d5f6b95c14f35f8842793045e"},"schema_version":"1.0"},"canonical_sha256":"ecdc5178d2b729fc6edae1006174f26c1d85f7fb0a8b7146abcd550f38891336","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:50.961163Z","signature_b64":"Mj+Xwf3MNxHz+xZLolV20XSWHucP9Izn3PuTAOkDGnqRPfKy6uEvH6iFzrR6JmmEdu6A4adCUHZZW3F7QMdEDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ecdc5178d2b729fc6edae1006174f26c1d85f7fb0a8b7146abcd550f38891336","last_reissued_at":"2026-05-18T00:29:50.960667Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:50.960667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.08000","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":"2026-05-18T00:29:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YyImfUGPF5rWGDgmGK8z/cWFoYrH6UvYeLJEikSgkjFHn7o1X0WWihX3HwnQZjFXf85XrU6MRq4txHfossBwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T00:19:57.836481Z"},"content_sha256":"015055c27a01a30af8337f3ee2488f7e369dede2c48cbc02e03d9170297f4f63","schema_version":"1.0","event_id":"sha256:015055c27a01a30af8337f3ee2488f7e369dede2c48cbc02e03d9170297f4f63"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:5TOFC6GSW4U7Y3W24EAGC5HSNQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Personalization of Saliency Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bingqing Yu, James J. Clark","submitted_at":"2017-11-21T19:10:44Z","abstract_excerpt":"Most existing saliency models use low-level features or task descriptions when generating attention predictions. However, the link between observer characteristics and gaze patterns is rarely investigated. We present a novel saliency prediction technique which takes viewers' identities and personal traits into consideration when modeling human attention. Instead of only computing image salience for average observers, we consider the interpersonal variation in the viewing behaviors of observers with different personal traits and backgrounds. We present an enriched derivative of the GAN network,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08000","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":""},"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":"2026-05-18T00:29:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DIA5hLgf2Yb89F0dkRqeawsBYvxgJjRLUQ1A9jNN3HyQfyfS3UC1SlPCd/5Gh5kJ7QDlEbLlMoGttlFiRy1XBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T00:19:57.836921Z"},"content_sha256":"098b37c48350793fcd857066596a70c7ba47c6c65c14f9b0204ab8a9f59cef87","schema_version":"1.0","event_id":"sha256:098b37c48350793fcd857066596a70c7ba47c6c65c14f9b0204ab8a9f59cef87"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ/bundle.json","state_url":"https://pith.science/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ/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":"2026-08-24T00:19:57Z","links":{"resolver":"https://pith.science/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ","bundle":"https://pith.science/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ/bundle.json","state":"https://pith.science/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5TOFC6GSW4U7Y3W24EAGC5HSNQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:5TOFC6GSW4U7Y3W24EAGC5HSNQ","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":"d37d41d5cae26a77b47cca9722c01f0c13f7ec6d5f6b95c14f35f8842793045e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-21T19:10:44Z","title_canon_sha256":"70da67d64dc094cc4fc2a50c684be0ad3e0030f00d422a96fab31f597970b0e1"},"schema_version":"1.0","source":{"id":"1711.08000","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08000","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08000v1","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08000","created_at":"2026-05-18T00:29:50Z"},{"alias_kind":"pith_short_12","alias_value":"5TOFC6GSW4U7","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"5TOFC6GSW4U7Y3W2","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"5TOFC6GS","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:098b37c48350793fcd857066596a70c7ba47c6c65c14f9b0204ab8a9f59cef87","target":"graph","created_at":"2026-05-18T00:29:50Z","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":"Most existing saliency models use low-level features or task descriptions when generating attention predictions. However, the link between observer characteristics and gaze patterns is rarely investigated. We present a novel saliency prediction technique which takes viewers' identities and personal traits into consideration when modeling human attention. Instead of only computing image salience for average observers, we consider the interpersonal variation in the viewing behaviors of observers with different personal traits and backgrounds. We present an enriched derivative of the GAN network,","authors_text":"Bingqing Yu, James J. Clark","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-21T19:10:44Z","title":"Personalization of Saliency Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08000","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":"sha256:015055c27a01a30af8337f3ee2488f7e369dede2c48cbc02e03d9170297f4f63","target":"record","created_at":"2026-05-18T00:29:50Z","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":"d37d41d5cae26a77b47cca9722c01f0c13f7ec6d5f6b95c14f35f8842793045e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-21T19:10:44Z","title_canon_sha256":"70da67d64dc094cc4fc2a50c684be0ad3e0030f00d422a96fab31f597970b0e1"},"schema_version":"1.0","source":{"id":"1711.08000","kind":"arxiv","version":1}},"canonical_sha256":"ecdc5178d2b729fc6edae1006174f26c1d85f7fb0a8b7146abcd550f38891336","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ecdc5178d2b729fc6edae1006174f26c1d85f7fb0a8b7146abcd550f38891336","first_computed_at":"2026-05-18T00:29:50.960667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:50.960667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Mj+Xwf3MNxHz+xZLolV20XSWHucP9Izn3PuTAOkDGnqRPfKy6uEvH6iFzrR6JmmEdu6A4adCUHZZW3F7QMdEDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:50.961163Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.08000","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:015055c27a01a30af8337f3ee2488f7e369dede2c48cbc02e03d9170297f4f63","sha256:098b37c48350793fcd857066596a70c7ba47c6c65c14f9b0204ab8a9f59cef87"],"state_sha256":"2be562f00bbc2ea91855ae859677d67bb5ee7a0c97d063fb392e4bdd9f8fed18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ppXOyOhEOE37BeVai0BnkMo7+GqsYW17nR7xNyU6PsrXrlpFgDlQ87O9Cc4MEGUedWhDMi6DpNVat+T1v8RQAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T00:19:57.840481Z","bundle_sha256":"a3be8d130adb383241b165ccae4cb5db730829cfb744eed30a37b998ca645c04"}}