{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ZTCRDOS24RZUCAU4PZQASQ3FAF","short_pith_number":"pith:ZTCRDOS2","canonical_record":{"source":{"id":"2208.04298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-08T17:37:07Z","cross_cats_sorted":["cs.AI","cs.GR","stat.AP"],"title_canon_sha256":"7269b288d48d14b4718f7af129ac50789d08ab8ca1e0f72db7507b684918f3e1","abstract_canon_sha256":"457b9580e5dfbc034034c458834adb7e49c3116f6f4e6eac5343cac998da0dac"},"schema_version":"1.0"},"canonical_sha256":"ccc511ba5ae47341029c7e60094365014f42a81ab51adbde14a1a8db661b2a5e","source":{"kind":"arxiv","id":"2208.04298","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04298","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04298v1","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04298","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"pith_short_12","alias_value":"ZTCRDOS24RZU","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"pith_short_16","alias_value":"ZTCRDOS24RZUCAU4","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"pith_short_8","alias_value":"ZTCRDOS2","created_at":"2026-07-05T04:46:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ZTCRDOS24RZUCAU4PZQASQ3FAF","target":"record","payload":{"canonical_record":{"source":{"id":"2208.04298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-08T17:37:07Z","cross_cats_sorted":["cs.AI","cs.GR","stat.AP"],"title_canon_sha256":"7269b288d48d14b4718f7af129ac50789d08ab8ca1e0f72db7507b684918f3e1","abstract_canon_sha256":"457b9580e5dfbc034034c458834adb7e49c3116f6f4e6eac5343cac998da0dac"},"schema_version":"1.0"},"canonical_sha256":"ccc511ba5ae47341029c7e60094365014f42a81ab51adbde14a1a8db661b2a5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:46:49.620142Z","signature_b64":"UwSgSPcI7tp2KqeWti2NXsMtKikMynY1UCz/nuuqOysx7bs63I+HytVela4IKoht8+1/cMe5gsgbWMiCNhnSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccc511ba5ae47341029c7e60094365014f42a81ab51adbde14a1a8db661b2a5e","last_reissued_at":"2026-07-05T04:46:49.619778Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:46:49.619778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.04298","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":"2026-07-05T04:46:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nblO/ETR6G7MwJ6Sm6Ie5kkaCMQppIcAioDGXQzejFpWj7s9wwgHF/vUfNhl+dH1bdInFQ+RV+a1tHmkvv74CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T03:55:00.740729Z"},"content_sha256":"ef7cf70993f21b75d67a9e74ed0714b570df1b0b677f7e0fc14df084ac572ea7","schema_version":"1.0","event_id":"sha256:ef7cf70993f21b75d67a9e74ed0714b570df1b0b677f7e0fc14df084ac572ea7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ZTCRDOS24RZUCAU4PZQASQ3FAF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gaze Estimation Approach Using Deep Differential Residual Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GR","stat.AP"],"primary_cat":"cs.CV","authors_text":"Ahmad Chaddad, Ahmed Bouridane, Haoyu Wang, Longzhao Huang, Xu Wang, Yujie Li","submitted_at":"2022-08-08T17:37:07Z","abstract_excerpt":"Gaze estimation, which is a method to determine where a person is looking at given the person's full face, is a valuable clue for understanding human intention. Similarly to other domains of computer vision, deep learning (DL) methods have gained recognition in the gaze estimation domain. However, there are still gaze calibration problems in the gaze estimation domain, thus preventing existing methods from further improving the performances. An effective solution is to directly predict the difference information of two human eyes, such as the differential network (Diff-Nn). However, this solut"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04298","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/2208.04298/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":"2026-07-05T04:46:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wVtyovSSZVEcRACYduxejyfKeGwMbBRBQk9Co5mHDImSt5nuajmxFkqudjbV+bHBDQZzcEDkpVnaZu9cHMH4Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T03:55:00.741146Z"},"content_sha256":"b92d9e1215ce4ef66bcdb0882a5523bba10cccadb9efbc62683d62ab829d0c8f","schema_version":"1.0","event_id":"sha256:b92d9e1215ce4ef66bcdb0882a5523bba10cccadb9efbc62683d62ab829d0c8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF/bundle.json","state_url":"https://pith.science/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF/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":"2026-07-17T03:55:00Z","links":{"resolver":"https://pith.science/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF","bundle":"https://pith.science/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF/bundle.json","state":"https://pith.science/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZTCRDOS24RZUCAU4PZQASQ3FAF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ZTCRDOS24RZUCAU4PZQASQ3FAF","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":"457b9580e5dfbc034034c458834adb7e49c3116f6f4e6eac5343cac998da0dac","cross_cats_sorted":["cs.AI","cs.GR","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-08T17:37:07Z","title_canon_sha256":"7269b288d48d14b4718f7af129ac50789d08ab8ca1e0f72db7507b684918f3e1"},"schema_version":"1.0","source":{"id":"2208.04298","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.04298","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"arxiv_version","alias_value":"2208.04298v1","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.04298","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"pith_short_12","alias_value":"ZTCRDOS24RZU","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"pith_short_16","alias_value":"ZTCRDOS24RZUCAU4","created_at":"2026-07-05T04:46:49Z"},{"alias_kind":"pith_short_8","alias_value":"ZTCRDOS2","created_at":"2026-07-05T04:46:49Z"}],"graph_snapshots":[{"event_id":"sha256:b92d9e1215ce4ef66bcdb0882a5523bba10cccadb9efbc62683d62ab829d0c8f","target":"graph","created_at":"2026-07-05T04:46:49Z","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/2208.04298/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gaze estimation, which is a method to determine where a person is looking at given the person's full face, is a valuable clue for understanding human intention. Similarly to other domains of computer vision, deep learning (DL) methods have gained recognition in the gaze estimation domain. However, there are still gaze calibration problems in the gaze estimation domain, thus preventing existing methods from further improving the performances. An effective solution is to directly predict the difference information of two human eyes, such as the differential network (Diff-Nn). However, this solut","authors_text":"Ahmad Chaddad, Ahmed Bouridane, Haoyu Wang, Longzhao Huang, Xu Wang, Yujie Li","cross_cats":["cs.AI","cs.GR","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-08T17:37:07Z","title":"Gaze Estimation Approach Using Deep Differential Residual Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.04298","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:ef7cf70993f21b75d67a9e74ed0714b570df1b0b677f7e0fc14df084ac572ea7","target":"record","created_at":"2026-07-05T04:46:49Z","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":"457b9580e5dfbc034034c458834adb7e49c3116f6f4e6eac5343cac998da0dac","cross_cats_sorted":["cs.AI","cs.GR","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-08T17:37:07Z","title_canon_sha256":"7269b288d48d14b4718f7af129ac50789d08ab8ca1e0f72db7507b684918f3e1"},"schema_version":"1.0","source":{"id":"2208.04298","kind":"arxiv","version":1}},"canonical_sha256":"ccc511ba5ae47341029c7e60094365014f42a81ab51adbde14a1a8db661b2a5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ccc511ba5ae47341029c7e60094365014f42a81ab51adbde14a1a8db661b2a5e","first_computed_at":"2026-07-05T04:46:49.619778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:46:49.619778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UwSgSPcI7tp2KqeWti2NXsMtKikMynY1UCz/nuuqOysx7bs63I+HytVela4IKoht8+1/cMe5gsgbWMiCNhnSDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:46:49.620142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.04298","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef7cf70993f21b75d67a9e74ed0714b570df1b0b677f7e0fc14df084ac572ea7","sha256:b92d9e1215ce4ef66bcdb0882a5523bba10cccadb9efbc62683d62ab829d0c8f"],"state_sha256":"0650d072109409a3fc7fcf47c64f8b528ac220d421fc5998dce2316d6ce4a59d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9QPGvdpK0AYr6p6PMEJFwZO1+w+K3M5u1/CxaoHyIOHqJbmzDA1IZpz6DaHErexaUHN5uDwclb+M9UfA3kD0Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T03:55:00.743272Z","bundle_sha256":"d770d9c0778f11b587de73bf7fc601f481e4fcf7998e40d6fffbbdb41aa317b4"}}