{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:T6OQB4FKKDZM5XJUMQSXEBCBBX","short_pith_number":"pith:T6OQB4FK","canonical_record":{"source":{"id":"1804.08572","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:12:11Z","cross_cats_sorted":[],"title_canon_sha256":"d472418a195aa11e15e34a07baf9144638ee833094462312dfd422e9f07b4384","abstract_canon_sha256":"e7108519f25449ab2646827da31401541af22684e31b4ea7ed7db3ef0ee67b33"},"schema_version":"1.0"},"canonical_sha256":"9f9d00f0aa50f2cedd3464257204410dd1d34b79d5f6d4bc587a95a06bd2ca44","source":{"kind":"arxiv","id":"1804.08572","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08572","created_at":"2026-05-18T00:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08572v1","created_at":"2026-05-18T00:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08572","created_at":"2026-05-18T00:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"T6OQB4FKKDZM","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"T6OQB4FKKDZM5XJU","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"T6OQB4FK","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:T6OQB4FKKDZM5XJUMQSXEBCBBX","target":"record","payload":{"canonical_record":{"source":{"id":"1804.08572","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:12:11Z","cross_cats_sorted":[],"title_canon_sha256":"d472418a195aa11e15e34a07baf9144638ee833094462312dfd422e9f07b4384","abstract_canon_sha256":"e7108519f25449ab2646827da31401541af22684e31b4ea7ed7db3ef0ee67b33"},"schema_version":"1.0"},"canonical_sha256":"9f9d00f0aa50f2cedd3464257204410dd1d34b79d5f6d4bc587a95a06bd2ca44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:47.846980Z","signature_b64":"/g3MJnvro/UJJkFH/w61LwccMpwsRY01V89OTGHjCODkDGrKUzdJP+VP/5sQBeRjG+snmjufgoO6CIbTiTiTCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f9d00f0aa50f2cedd3464257204410dd1d34b79d5f6d4bc587a95a06bd2ca44","last_reissued_at":"2026-05-18T00:17:47.846197Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:47.846197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.08572","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":"2026-05-18T00:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vob8ahi2rsHd2jwrImNN8430NT4LwL1no/GZ+pfI4i2QCUdqqJeRqYP5gXoo/+Wv7GRV3pDnmYbCdRcvU8IXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:08:40.121875Z"},"content_sha256":"c57a7978309afd3c9d17f213cbf89ac3afe2822c388e786bb598025fc44357d6","schema_version":"1.0","event_id":"sha256:c57a7978309afd3c9d17f213cbf89ac3afe2822c388e786bb598025fc44357d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:T6OQB4FKKDZM5XJUMQSXEBCBBX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Light-weight Head Pose Invariant Gaze Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jan Kautz, Rajeev Ranjan, Shalini De Mello","submitted_at":"2018-04-23T17:12:11Z","abstract_excerpt":"Unconstrained remote gaze tracking using off-the-shelf cameras is a challenging problem. Recently, promising algorithms for appearance-based gaze estimation using convolutional neural networks (CNN) have been proposed. Improving their robustness to various confounding factors including variable head pose, subject identity, illumination and image quality remain open problems. In this work, we study the effect of variable head pose on machine learning regressors trained to estimate gaze direction. We propose a novel branched CNN architecture that improves the robustness of gaze classifiers to va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08572","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":"2026-05-18T00:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"StnILsD6vqiICAnQohKNOGq6U5VEbzmjJBjvho82r11VaF/udPKjhslZk6HLIZsK9s2OtF4gGDf8rDOqBFIVCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:08:40.122220Z"},"content_sha256":"b4ec688e86c17d7d302d6166650a33a76aff7f5d49cef020616eafa7619aa549","schema_version":"1.0","event_id":"sha256:b4ec688e86c17d7d302d6166650a33a76aff7f5d49cef020616eafa7619aa549"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX/bundle.json","state_url":"https://pith.science/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX/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":"2026-06-01T18:08:40Z","links":{"resolver":"https://pith.science/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX","bundle":"https://pith.science/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX/bundle.json","state":"https://pith.science/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6OQB4FKKDZM5XJUMQSXEBCBBX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:T6OQB4FKKDZM5XJUMQSXEBCBBX","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":"e7108519f25449ab2646827da31401541af22684e31b4ea7ed7db3ef0ee67b33","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:12:11Z","title_canon_sha256":"d472418a195aa11e15e34a07baf9144638ee833094462312dfd422e9f07b4384"},"schema_version":"1.0","source":{"id":"1804.08572","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08572","created_at":"2026-05-18T00:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08572v1","created_at":"2026-05-18T00:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08572","created_at":"2026-05-18T00:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"T6OQB4FKKDZM","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"T6OQB4FKKDZM5XJU","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"T6OQB4FK","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:b4ec688e86c17d7d302d6166650a33a76aff7f5d49cef020616eafa7619aa549","target":"graph","created_at":"2026-05-18T00:17:47Z","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":"Unconstrained remote gaze tracking using off-the-shelf cameras is a challenging problem. Recently, promising algorithms for appearance-based gaze estimation using convolutional neural networks (CNN) have been proposed. Improving their robustness to various confounding factors including variable head pose, subject identity, illumination and image quality remain open problems. In this work, we study the effect of variable head pose on machine learning regressors trained to estimate gaze direction. We propose a novel branched CNN architecture that improves the robustness of gaze classifiers to va","authors_text":"Jan Kautz, Rajeev Ranjan, Shalini De Mello","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:12:11Z","title":"Light-weight Head Pose Invariant Gaze Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08572","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:c57a7978309afd3c9d17f213cbf89ac3afe2822c388e786bb598025fc44357d6","target":"record","created_at":"2026-05-18T00:17:47Z","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":"e7108519f25449ab2646827da31401541af22684e31b4ea7ed7db3ef0ee67b33","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T17:12:11Z","title_canon_sha256":"d472418a195aa11e15e34a07baf9144638ee833094462312dfd422e9f07b4384"},"schema_version":"1.0","source":{"id":"1804.08572","kind":"arxiv","version":1}},"canonical_sha256":"9f9d00f0aa50f2cedd3464257204410dd1d34b79d5f6d4bc587a95a06bd2ca44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f9d00f0aa50f2cedd3464257204410dd1d34b79d5f6d4bc587a95a06bd2ca44","first_computed_at":"2026-05-18T00:17:47.846197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:47.846197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/g3MJnvro/UJJkFH/w61LwccMpwsRY01V89OTGHjCODkDGrKUzdJP+VP/5sQBeRjG+snmjufgoO6CIbTiTiTCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:47.846980Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.08572","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c57a7978309afd3c9d17f213cbf89ac3afe2822c388e786bb598025fc44357d6","sha256:b4ec688e86c17d7d302d6166650a33a76aff7f5d49cef020616eafa7619aa549"],"state_sha256":"3ea0e37d78d70b88247016f5be14b1445c4bb366f644eca77617b3f5b9bd40e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C9DSq8G6uOXCltzvsav0chmTyMi1ySUioXOHgGqUw6UyyiZWPqvP5VWYxAHQqSKrmQgjH0eg05YeslTkwFBnAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T18:08:40.124174Z","bundle_sha256":"e36f1eb1235ab87075f4934d0230ee33cc4b653c25f1f57b144b19ad53fc09ed"}}