{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TFN2JRVTK3EUFQ7OTIGZMMII4O","short_pith_number":"pith:TFN2JRVT","canonical_record":{"source":{"id":"2407.00315","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-29T04:35:08Z","cross_cats_sorted":[],"title_canon_sha256":"83d2e6f2d427ae5471d1fdc187184196937192b2306660c4d7db2598e3dcdb5f","abstract_canon_sha256":"4359ec7e0e013eb023b142f8d201b2541e5aa0ed74b2a8d8f43b0b37099d68ad"},"schema_version":"1.0"},"canonical_sha256":"995ba4c6b356c942c3ee9a0d963108e38c7c5ae40ce53f4ccb8db04bbb821102","source":{"kind":"arxiv","id":"2407.00315","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00315","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00315v1","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00315","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"pith_short_12","alias_value":"TFN2JRVTK3EU","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"pith_short_16","alias_value":"TFN2JRVTK3EUFQ7O","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"pith_short_8","alias_value":"TFN2JRVT","created_at":"2026-07-05T08:38:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TFN2JRVTK3EUFQ7OTIGZMMII4O","target":"record","payload":{"canonical_record":{"source":{"id":"2407.00315","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-29T04:35:08Z","cross_cats_sorted":[],"title_canon_sha256":"83d2e6f2d427ae5471d1fdc187184196937192b2306660c4d7db2598e3dcdb5f","abstract_canon_sha256":"4359ec7e0e013eb023b142f8d201b2541e5aa0ed74b2a8d8f43b0b37099d68ad"},"schema_version":"1.0"},"canonical_sha256":"995ba4c6b356c942c3ee9a0d963108e38c7c5ae40ce53f4ccb8db04bbb821102","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:38:17.984962Z","signature_b64":"/VscScUiYVKDpDvOqileJSzJgsXivZpxcMySxbIaMNTSZDNPAMrN6ZC7M2fLZi7OqG7lYtHnvrSbk9im5rBWDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"995ba4c6b356c942c3ee9a0d963108e38c7c5ae40ce53f4ccb8db04bbb821102","last_reissued_at":"2026-07-05T08:38:17.984493Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:38:17.984493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.00315","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":"2026-07-05T08:38:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TIUmGgr/LMsQCLUOcS3jtCggac6StnRXJ9vWOeexLcbpL/depqo8SJmbtJqrAZV3UgSDqRoZihKduGyl7fgsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:12:16.217815Z"},"content_sha256":"1aabcf1c633d4d5376aa86e019a6b1e01abe3645f997ed2c043069925b93bd05","schema_version":"1.0","event_id":"sha256:1aabcf1c633d4d5376aa86e019a6b1e01abe3645f997ed2c043069925b93bd05"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TFN2JRVTK3EUFQ7OTIGZMMII4O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bilian Ke, Bingbing Ni, Teng Li, Yangzhou Jiang, Yaoming Wang, Yinxin Lin","submitted_at":"2024-06-29T04:35:08Z","abstract_excerpt":"Appearance-based supervised methods with full-face image input have made tremendous advances in recent gaze estimation tasks. However, intensive human annotation requirement inhibits current methods from achieving industrial level accuracy and robustness. Although current unsupervised pre-training frameworks have achieved success in many image recognition tasks, due to the deep coupling between facial and eye features, such frameworks are still deficient in extracting useful gaze features from full-face. To alleviate above limitations, this work proposes a novel unsupervised/self-supervised ga"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00315","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/2407.00315/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":"2026-07-05T08:38:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NYChxa/F+Tf3rXrljDEA4YVRhzAteaFeJ3wQfwUiEeO5XOaotIMMK7KPJ+tZPqpBiGxkUbo1yWQp4MCvyX2dAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:12:16.218360Z"},"content_sha256":"aee723f5a1df01ba84e20433757634e74ccc983cdd3025d278612c5c3515c262","schema_version":"1.0","event_id":"sha256:aee723f5a1df01ba84e20433757634e74ccc983cdd3025d278612c5c3515c262"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O/bundle.json","state_url":"https://pith.science/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O/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":"2026-08-12T11:12:16Z","links":{"resolver":"https://pith.science/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O","bundle":"https://pith.science/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O/bundle.json","state":"https://pith.science/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TFN2JRVTK3EUFQ7OTIGZMMII4O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TFN2JRVTK3EUFQ7OTIGZMMII4O","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":"4359ec7e0e013eb023b142f8d201b2541e5aa0ed74b2a8d8f43b0b37099d68ad","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-29T04:35:08Z","title_canon_sha256":"83d2e6f2d427ae5471d1fdc187184196937192b2306660c4d7db2598e3dcdb5f"},"schema_version":"1.0","source":{"id":"2407.00315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00315","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00315v1","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00315","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"pith_short_12","alias_value":"TFN2JRVTK3EU","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"pith_short_16","alias_value":"TFN2JRVTK3EUFQ7O","created_at":"2026-07-05T08:38:17Z"},{"alias_kind":"pith_short_8","alias_value":"TFN2JRVT","created_at":"2026-07-05T08:38:17Z"}],"graph_snapshots":[{"event_id":"sha256:aee723f5a1df01ba84e20433757634e74ccc983cdd3025d278612c5c3515c262","target":"graph","created_at":"2026-07-05T08:38:17Z","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/2407.00315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Appearance-based supervised methods with full-face image input have made tremendous advances in recent gaze estimation tasks. However, intensive human annotation requirement inhibits current methods from achieving industrial level accuracy and robustness. Although current unsupervised pre-training frameworks have achieved success in many image recognition tasks, due to the deep coupling between facial and eye features, such frameworks are still deficient in extracting useful gaze features from full-face. To alleviate above limitations, this work proposes a novel unsupervised/self-supervised ga","authors_text":"Bilian Ke, Bingbing Ni, Teng Li, Yangzhou Jiang, Yaoming Wang, Yinxin Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-29T04:35:08Z","title":"Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00315","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":"sha256:1aabcf1c633d4d5376aa86e019a6b1e01abe3645f997ed2c043069925b93bd05","target":"record","created_at":"2026-07-05T08:38:17Z","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":"4359ec7e0e013eb023b142f8d201b2541e5aa0ed74b2a8d8f43b0b37099d68ad","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-29T04:35:08Z","title_canon_sha256":"83d2e6f2d427ae5471d1fdc187184196937192b2306660c4d7db2598e3dcdb5f"},"schema_version":"1.0","source":{"id":"2407.00315","kind":"arxiv","version":1}},"canonical_sha256":"995ba4c6b356c942c3ee9a0d963108e38c7c5ae40ce53f4ccb8db04bbb821102","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"995ba4c6b356c942c3ee9a0d963108e38c7c5ae40ce53f4ccb8db04bbb821102","first_computed_at":"2026-07-05T08:38:17.984493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:38:17.984493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/VscScUiYVKDpDvOqileJSzJgsXivZpxcMySxbIaMNTSZDNPAMrN6ZC7M2fLZi7OqG7lYtHnvrSbk9im5rBWDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:38:17.984962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1aabcf1c633d4d5376aa86e019a6b1e01abe3645f997ed2c043069925b93bd05","sha256:aee723f5a1df01ba84e20433757634e74ccc983cdd3025d278612c5c3515c262"],"state_sha256":"0a323a0a5f113056353b6cef605fee2fad0f3075fa240570b715c3c5f611ffca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kJLiUw8tieef6POS94vwBcF7N6bJIdycmT/4rt7YfxzWC3fQfaSBC4pX9lKsQWvfQWlonHL2/sS6jW7a7/BKCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T11:12:16.223356Z","bundle_sha256":"bc75fe9757efcc1ebe2bc1208f1e1a033f4fc282e328401555c42f39512aa703"}}