{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:D4D2NSFZ4UW4OWMHBCNLHAZH4E","short_pith_number":"pith:D4D2NSFZ","canonical_record":{"source":{"id":"2205.01947","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T08:35:52Z","cross_cats_sorted":["cs.HC","cs.RO"],"title_canon_sha256":"a287c940f83c30b3cf1434171510375d9d2655ba4295414bb05f10140b2ef202","abstract_canon_sha256":"2d48c4bd7d76623133df8ae1a31096a29669cd220b3676558a22f853c935826e"},"schema_version":"1.0"},"canonical_sha256":"1f07a6c8b9e52dc75987089ab38327e12cdd59328391ed78dfa24b39d343ac3b","source":{"kind":"arxiv","id":"2205.01947","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.01947","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"arxiv_version","alias_value":"2205.01947v1","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.01947","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"pith_short_12","alias_value":"D4D2NSFZ4UW4","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"pith_short_16","alias_value":"D4D2NSFZ4UW4OWMH","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"pith_short_8","alias_value":"D4D2NSFZ","created_at":"2026-07-05T04:20:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:D4D2NSFZ4UW4OWMHBCNLHAZH4E","target":"record","payload":{"canonical_record":{"source":{"id":"2205.01947","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T08:35:52Z","cross_cats_sorted":["cs.HC","cs.RO"],"title_canon_sha256":"a287c940f83c30b3cf1434171510375d9d2655ba4295414bb05f10140b2ef202","abstract_canon_sha256":"2d48c4bd7d76623133df8ae1a31096a29669cd220b3676558a22f853c935826e"},"schema_version":"1.0"},"canonical_sha256":"1f07a6c8b9e52dc75987089ab38327e12cdd59328391ed78dfa24b39d343ac3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:20:23.930339Z","signature_b64":"N3K4Wn+epUw3wGb3ec+CKGHrL04j8+mlZnujNslMqvvOtvDZJUpcCjIk0XQQQGOQptBNg5stb9dDiQs+/+KwCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f07a6c8b9e52dc75987089ab38327e12cdd59328391ed78dfa24b39d343ac3b","last_reissued_at":"2026-07-05T04:20:23.929978Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:20:23.929978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.01947","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":"2026-07-05T04:20:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yZ7nteC+gJW7XbCEvB7dTPBQfBFYlDQALcZROGPAAJagQJtEYTgd+GiFES7SIL1qlTfPRY+RSo2Yz/F8Yh4kDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:48:55.143277Z"},"content_sha256":"c8b7b63473037da9473fcc16ecfbb44c78cb0fa482e25de7d180748e88461c1d","schema_version":"1.0","event_id":"sha256:c8b7b63473037da9473fcc16ecfbb44c78cb0fa482e25de7d180748e88461c1d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:D4D2NSFZ4UW4OWMHBCNLHAZH4E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.RO"],"primary_cat":"cs.CV","authors_text":"Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz, Rakshit S. Kothari, Reynold J. Bailey","submitted_at":"2022-05-04T08:35:52Z","abstract_excerpt":"The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail to identify features such as the iris and pupil centroid in the presence of reflective artifacts and occlusions. Previous work has shown that convolutional networks excel at extracting gaze features despite the presence of such artifacts. However, these networks often perform poorly on data unseen during training. This work follows the intuition that jointly training a convolutional network with multiple datasets lear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.01947","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/2205.01947/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":"2026-07-05T04:20:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B0SJ3+4ZiQiYQXq06sNVhr8AXQYOMAgc6Y2NZbxoNQa9vyAvYZeG+IlQD+2168tvs18ZTuWrV7wl2VnoASgwCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:48:55.143775Z"},"content_sha256":"655c697218ac226068609966a1e359d82ec687873591190a6f117dfc6f893f7e","schema_version":"1.0","event_id":"sha256:655c697218ac226068609966a1e359d82ec687873591190a6f117dfc6f893f7e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E/bundle.json","state_url":"https://pith.science/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E/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":"2026-08-03T20:48:55Z","links":{"resolver":"https://pith.science/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E","bundle":"https://pith.science/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E/bundle.json","state":"https://pith.science/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D4D2NSFZ4UW4OWMHBCNLHAZH4E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:D4D2NSFZ4UW4OWMHBCNLHAZH4E","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":"2d48c4bd7d76623133df8ae1a31096a29669cd220b3676558a22f853c935826e","cross_cats_sorted":["cs.HC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T08:35:52Z","title_canon_sha256":"a287c940f83c30b3cf1434171510375d9d2655ba4295414bb05f10140b2ef202"},"schema_version":"1.0","source":{"id":"2205.01947","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.01947","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"arxiv_version","alias_value":"2205.01947v1","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.01947","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"pith_short_12","alias_value":"D4D2NSFZ4UW4","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"pith_short_16","alias_value":"D4D2NSFZ4UW4OWMH","created_at":"2026-07-05T04:20:23Z"},{"alias_kind":"pith_short_8","alias_value":"D4D2NSFZ","created_at":"2026-07-05T04:20:23Z"}],"graph_snapshots":[{"event_id":"sha256:655c697218ac226068609966a1e359d82ec687873591190a6f117dfc6f893f7e","target":"graph","created_at":"2026-07-05T04:20:23Z","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/2205.01947/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail to identify features such as the iris and pupil centroid in the presence of reflective artifacts and occlusions. Previous work has shown that convolutional networks excel at extracting gaze features despite the presence of such artifacts. However, these networks often perform poorly on data unseen during training. This work follows the intuition that jointly training a convolutional network with multiple datasets lear","authors_text":"Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz, Rakshit S. Kothari, Reynold J. Bailey","cross_cats":["cs.HC","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T08:35:52Z","title":"EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.01947","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:c8b7b63473037da9473fcc16ecfbb44c78cb0fa482e25de7d180748e88461c1d","target":"record","created_at":"2026-07-05T04:20:23Z","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":"2d48c4bd7d76623133df8ae1a31096a29669cd220b3676558a22f853c935826e","cross_cats_sorted":["cs.HC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-04T08:35:52Z","title_canon_sha256":"a287c940f83c30b3cf1434171510375d9d2655ba4295414bb05f10140b2ef202"},"schema_version":"1.0","source":{"id":"2205.01947","kind":"arxiv","version":1}},"canonical_sha256":"1f07a6c8b9e52dc75987089ab38327e12cdd59328391ed78dfa24b39d343ac3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f07a6c8b9e52dc75987089ab38327e12cdd59328391ed78dfa24b39d343ac3b","first_computed_at":"2026-07-05T04:20:23.929978Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:20:23.929978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N3K4Wn+epUw3wGb3ec+CKGHrL04j8+mlZnujNslMqvvOtvDZJUpcCjIk0XQQQGOQptBNg5stb9dDiQs+/+KwCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:20:23.930339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.01947","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8b7b63473037da9473fcc16ecfbb44c78cb0fa482e25de7d180748e88461c1d","sha256:655c697218ac226068609966a1e359d82ec687873591190a6f117dfc6f893f7e"],"state_sha256":"d73b43b460bd72f780d7f0c4ad0ffdccbd5a176228487b8028c2b85d27da5696"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1CaaxcENeJtjXhNz6dztGF8l1UF9+wIlK6qRIJFGLB2pedG67HPAL2x1B/cWBJkPyf0xKcPINLeI1f75jkg8Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:48:55.147728Z","bundle_sha256":"20f878fed4334ae8de109088ee4d4cdf9eb45ba038d0a2a70d1ef8e2e406a5f4"}}