{"as_of":"2026-08-11T07:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e2b621b7cfc41812e8807655007870e2d18e3938aa8e86fe0f8100420a858eb1","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:56:42.984770Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.09649/citation-record","integrity":"/paper/2507.09649/integrity","json":"/paper/2507.09649/citation-record.json","paper":"/paper/2507.09649"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.741341Z","title":"Segnet: A deep convolu- tional encoder-decoder architecture for image segmenta- tion","venue":null,"work_id":"55321460-4458-4739-a695-2493f28b0496","year":2017},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:41.689392Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:3bb2821d0a72884b27e9329c5ca92c61359c73cd40a8a3ace738368025b1427a","observation_id":"8627787b-020a-4f9e-a717-a32f20a4714e","resolution":{"observed_at":"2026-08-06T17:56:44.748707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.05587","last_updated":"2017-12-05T18:06:21Z","snapshot_observed_at":"2026-08-07T13:44:53.690521Z","submitted_at":"2017-06-17T22:48:57Z","title":"Rethinking Atrous Convolution for Semantic Image Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05587","snapshot_observed_at":"2026-08-06T17:56:42.379791Z","title":"Rethink- ing atrous convolution for semantic image segmentation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.379791Z"},"links":{"cited_paper":"/paper/1706.05587","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:8f080a6b3007acd3b27374cbb5808e9daf0f679575581636213a5303d02d0786","observation_id":"91ecaec4-f3c9-48f1-bb2e-bba65e95da6a","resolution":{"observed_at":"2026-08-06T17:56:42.379791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.637535Z","title":"Encoder-decoder with atrous separable convolution for se- mantic image segmentation","venue":null,"work_id":"d38e6ed6-34cd-4430-9da1-7c05914a3e07","year":2018},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.501548Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:3ec11d518ca2f4fb964bb172b32119aaef6a815698947dfa10bd8d1aea088418","observation_id":"4135e1f9-5b24-40c7-b237-1eb4a0a8fc49","resolution":{"observed_at":"2026-08-06T17:56:44.645278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.561979Z","title":"Real-time gaze tracking with event-driven eye segmentation","venue":null,"work_id":"0e9b7fa4-a806-407e-8b38-1a2f112f12eb","year":2022},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.789903Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:4026a2dc99e24a7ea9ff94361b59fe07f17632d955ed9c0403e8167839963286","observation_id":"3f2c00a3-e1f8-41fd-9b82-1b4b3fb2c345","resolution":{"observed_at":"2026-08-06T17:56:44.570661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.519732Z","title":"Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmen- tations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types","venue":null,"work_id":"55df60fc-a5d3-43f3-a8df-f1262765b3f7","year":2021},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.827135Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:13ddb07d9ca6b1d7c9827e0d8a5de238a8f86bc5f1ea5b4576d5fb0bb652f50c","observation_id":"3e4ff8cd-3996-4510-8b2a-1fcd7b53d872","resolution":{"observed_at":"2026-08-06T17:56:44.525991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.496755Z","title":"Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmen- tations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types,","venue":null,"work_id":"131db4db-9db1-43b4-9a98-36577667af25","year":2022},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.834184Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:1f36ef33207cd1f59000b99cd9135f8c1d3fcb4f91759586cfab88383a53a644","observation_id":"ecc4c686-55bd-4df5-a6fc-3bd59243a5a8","resolution":{"observed_at":"2026-08-06T17:56:44.504250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.477218Z","title":"Pistol: Pupil invisible supportive tool in the wild","venue":null,"work_id":"feeff6f9-395a-48b8-a153-997e5a6b98e0","year":2024},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.839342Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:e8ea3a6d0d3b5a6366a5467b71635e3243fc994c717cb42b6baf52bc62e5dc0e","observation_id":"f668d334-2093-4587-85be-96c35d8eb174","resolution":{"observed_at":"2026-08-06T17:56:44.483267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.03702","last_updated":"2019-05-17T16:18:02Z","snapshot_observed_at":"2026-08-01T20:55:40.805763Z","submitted_at":"2019-04-30T17:47:53Z","title":"OpenEDS: Open Eye Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.03702","snapshot_observed_at":"2026-08-06T17:56:42.844079Z","title":"Garbin, Yiru Shen, Immo Schuetz, Robert Cavin, Gregory Hughes, and Sachin S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.844079Z"},"links":{"cited_paper":"/paper/1905.03702","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:37ddc5e0e390b7631273dd0cb92f4fcf69ce58b9f258bf427897c06b173a7210","observation_id":"34d786de-ffaa-4fc2-b7f7-c5706dd7ae5d","resolution":{"observed_at":"2026-08-06T17:56:42.844079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.453620Z","title":"Dataset for eye tracking on a virtual reality platform","venue":null,"work_id":"15ed6f2a-6666-4b44-91ba-d4517b1e36d8","year":2020},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.849225Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:31e5850812e00eb9cd8d088282dd7553bf434b21abe798e93dc9837cb7bd9513","observation_id":"d6e9fbe5-1471-46ed-9fbf-097ee3771353","resolution":{"observed_at":"2026-08-06T17:56:44.460271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.397947Z","title":"Eye tracking in the wild","venue":null,"work_id":"7a90c36e-3003-4b49-a2d8-0f5c12e8ca53","year":2005},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.859037Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:0861f21efbaa6fa74e61fd324b465581fca46b2fe7517f42a8612084edd304c7","observation_id":"be9f61a1-04cc-4a57-81ac-bf22460e7be3","resolution":{"observed_at":"2026-08-06T17:56:44.405060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.337509Z","title":"What uncertainties do we need in bayesian deep learning for computer vision? Neural Information Processing Systems, 30,","venue":null,"work_id":"5310c195-0b6e-4719-a78a-67599dd2fa98","year":2017},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.869233Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:ed0a593e310d068f371177b307af9531c10062f4b5e58c55490ddfd3af62ef14","observation_id":"f9424cc3-8088-486d-b54c-51bb0d36f72c","resolution":{"observed_at":"2026-08-06T17:56:44.344234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.311661Z","title":"Ellseg: An ellipse segmentation framework for robust gaze tracking","venue":null,"work_id":"fed05e29-1619-4e02-b19f-fa1b05c1a693","year":2021},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.873843Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:87888973374c406614117e047c8470274dabf1fef289b0ab64f17c7578b7efde","observation_id":"f10fbb59-3918-42cb-8f07-929156199e71","resolution":{"observed_at":"2026-08-06T17:56:44.319518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.271632Z","title":"Dudes: Deep uncertainty distillation using ensembles for semantic seg- mentation","venue":null,"work_id":"3f572770-086d-45be-bea4-246a8e0033b4","year":2024},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.879762Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:84d01d99714e3c34d61a10847500612c4f06cf92b2c5a48cc6507362e686d674","observation_id":"40f2da70-92fa-452a-a3fc-c000a7d49629","resolution":{"observed_at":"2026-08-06T17:56:44.292736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.242231Z","title":"Primitivenet: decomposing the global constraints for referring segmentation","venue":null,"work_id":"04a9163e-5adb-4c20-9b20-2f387fd90ef9","year":2024},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.886131Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:6d9c1b2bb46b3429c938b09e4481605785ec84ac99ede167d73961668855d5c0","observation_id":"12a2bd2c-945b-4529-a40d-13a106233ca1","resolution":{"observed_at":"2026-08-06T17:56:44.250350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.201373Z","title":"Fully convolutional networks for seman- tic segmentation","venue":null,"work_id":"4ec53352-b0ec-4f8a-9add-265467fe6144","year":2015},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.891368Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:c055bb9865c6bd2403659fa2dcd43bcf76f656000a7225233f9bb743ff4624cd","observation_id":"605e06ca-0dc6-47e4-8d73-599379dcee20","resolution":{"observed_at":"2026-08-06T17:56:44.215511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.158707Z","title":"Shape constrained net- work for eye segmentation in the wild","venue":null,"work_id":"09d16a51-f6dc-4f49-a6ab-8d339992dd7b","year":2020},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.900867Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:af93575ae3857ed8defce34ed6acd82db89377406e13800b1b0ef98341bad6a7","observation_id":"0476e3d0-cc64-4614-82b9-f23229df2edf","resolution":{"observed_at":"2026-08-06T17:56:44.171301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.11525","last_updated":"2023-11-20T04:11:16Z","snapshot_observed_at":"2026-07-06T16:49:45.821983Z","submitted_at":"2023-11-20T04:11:16Z","title":"Generalized Category Discovery in Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.11525","snapshot_observed_at":"2026-08-06T17:56:42.909985Z","title":"Generalized category discovery in semantic segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.909985Z"},"links":{"cited_paper":"/paper/2311.11525","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:bf3c650227e5e27151b77d6c696b4964a99c499c2851daef7ea76a0b4a085bcb","observation_id":"a7db8ea4-e751-411e-82e1-04847be97fdb","resolution":{"observed_at":"2026-08-06T17:56:42.909985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.122609Z","title":"Yolov3: An incremental improvement","venue":null,"work_id":"5694b261-83fa-4b59-ac64-91f478c1c745","year":2018},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.915827Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:f03400e8a78e6a337e80a5a109979a2a9b3b895af461d2b7a3cac8219cab0723","observation_id":"74bb054c-7bf3-4ad6-8d5c-f6323877d0e7","resolution":{"observed_at":"2026-08-06T17:56:44.132875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.083091Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"886561f9-53b6-4949-8a8f-7d3d8bb8d620","year":2015},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.921212Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:6548e9c0f03cd777ccedf300585123d12106635b5e6ac829c4cc36739d10dcbc","observation_id":"3fee752c-6cb0-47b4-893c-7153b6031600","resolution":{"observed_at":"2026-08-06T17:56:44.093134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.047962Z","title":"Uncertainty-aware panop- tic segmentation","venue":null,"work_id":"28012ef3-a13e-4896-a3a6-b97c78532a43","year":2023},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.926485Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:3e99010957a885116b8c1d70208932dac1c09752f8768a11cf3eb56366a00192","observation_id":"7950df5f-75f5-4f3d-a28f-937464132a1d","resolution":{"observed_at":"2026-08-06T17:56:44.056538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.979734Z","title":"Robust real-time pupil tracking in highly off-axis images","venue":null,"work_id":"658b988c-01b1-4ac8-a901-f2a695ced6a3","year":2012},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.931528Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:ab9aa53b8952bc3f5dc295575f9288559dbba64af12ea500afffa329954ccf43","observation_id":"24764045-a666-452b-b94e-0c75811a2cf4","resolution":{"observed_at":"2026-08-06T17:56:44.005665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.05768","last_updated":"2015-11-18T13:30:55Z","snapshot_observed_at":"2026-08-03T23:14:25.844796Z","submitted_at":"2015-11-18T13:30:55Z","title":"Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments","version":1},"cited_work":{"arxiv_id":"1511.05768","doi":null,"metadata_source":"pith","pith_arxiv_id":"1511.05768","snapshot_observed_at":"2026-08-06T17:56:43.126705Z","title":"Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments","venue":"cs.CV","work_id":"74966c34-89d2-474a-956c-abe765054354","year":2015},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.942412Z"},"links":{"cited_paper":"/paper/1511.05768","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:2a6e4c886d4ca4f3411f1e9b8547bd2214244737d06e6ec36902456cefbb5a6e","observation_id":"0749d0b1-c49f-494c-b8f0-f2a96e603e2a","resolution":{"observed_at":"2026-08-06T17:56:43.154182Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.838264Z","title":"Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained en- vironments","venue":null,"work_id":"4a02b3e3-5446-41af-9b43-9f6bfd661e4e","year":2016},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.949628Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:d2204ed643ca44d2e7e8d4e12f081f56e7a8c6e557e662355a713739a5e4265a","observation_id":"6dd6fca4-e9b0-419e-9846-3a525c597cc9","resolution":{"observed_at":"2026-08-06T17:56:43.852371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.749461Z","title":"Towards complete and accurate iris segmentation using deep multi- task attention network for non-cooperative iris recognition","venue":null,"work_id":"864b208c-96eb-4620-82e4-8d1480d2ecda","year":2020},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.955348Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:f2a5484e9ac1deb5264532435875568180c2d24e667e71a56249a1cb2e315386","observation_id":"fc72ce5c-543d-4b97-aac7-9760011770ae","resolution":{"observed_at":"2026-08-06T17:56:43.789368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.10334","last_updated":"2021-11-18T01:23:35Z","snapshot_observed_at":"2026-07-06T11:59:43.025772Z","submitted_at":"2021-10-20T01:37:19Z","title":"Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning","version":2},"cited_work":{"arxiv_id":"2110.10334","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.10334","snapshot_observed_at":"2026-08-06T17:56:43.039985Z","title":"Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning","venue":"cs.CV","work_id":"3731119f-a7b9-4fbb-b927-4d4120e5c278","year":2021},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.961226Z"},"links":{"cited_paper":"/paper/2110.10334","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:2abe9c28593b671bd183d51505529c072f62662d13608d8b6148b86e18773145","observation_id":"416db6ec-112c-4360-9008-2f9286eb9ad7","resolution":{"observed_at":"2026-08-06T17:56:43.071407Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.670689Z","title":"Seg- former: Simple and efficient design for semantic segmen- tation with transformers","venue":null,"work_id":"737d7550-c94d-4954-aaa7-fac7b463f06f","year":2021},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.969615Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:feb13803b538289b97ea9bbbfab637621efbddaf7abfbfd4924ae8f1dd5bfcdb","observation_id":"016dce7a-1883-43a5-9682-e0f0dfe34e57","resolution":{"observed_at":"2026-08-06T17:56:43.700702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.592391Z","title":"Deepvog: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning","venue":null,"work_id":"2189bcbc-92eb-4ba2-b148-24c30be0b1c3","year":2019},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.978724Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:b002bc6f15c086ebdd5322e68f44547132c913f656b68757745bf63f443dafbb","observation_id":"918b81fc-cb01-4e48-b98c-11a57dd02a33","resolution":{"observed_at":"2026-08-06T17:56:43.631630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.521506Z","title":"A full-set tooth segmentation model based on improved pointnet++","venue":null,"work_id":"474c020e-482b-4000-8b2f-3c0bbf09c9db","year":2023},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.984770Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:a224b4ed666467fba8799a78228b1563d1edf93d5423c3de4cfb5d7dbe0d8dcf","observation_id":"7b71eb80-8fcc-4ac2-9be2-088ea0057f5d","resolution":{"observed_at":"2026-08-06T17:56:43.555013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.371603Z","title":"Sipformer: Seg- mentation of multiocular biometric traits with transform- ers","venue":null,"work_id":"4f803efa-e5a0-479f-8988-cc5baaee0de5","year":2022},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.864052Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:99cb641f9dac2e4a81f8a25aa65bc54da478170eb929bb1e8ce0da955b558704","observation_id":"5c0308bc-d87d-4513-a1bb-ad9ff6a7fd65","resolution":{"observed_at":"2026-08-06T17:56:44.379505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.898255Z","title":"Positive-negative recep- tive field reasoning for omni-supervised 3d segmentation","venue":null,"work_id":"37041e55-9c6f-4728-8ba1-5f0355bfc459","year":2023},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.936740Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:529a7e3906988730fe5862f2f8270656f789d34bb2d25f3718fb69f78a767de3","observation_id":"b6e816bf-37f0-4655-85cd-f08f00a36368","resolution":{"observed_at":"2026-08-06T17:56:43.935321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1601.04902","last_updated":"2016-01-19T13:06:16Z","snapshot_observed_at":"2026-07-06T04:43:20.651415Z","submitted_at":"2016-01-19T13:06:16Z","title":"PupilNet: Convolutional Neural Networks for Robust Pupil Detection","version":1},"cited_work":{"arxiv_id":"1601.04902","doi":null,"metadata_source":"pith","pith_arxiv_id":"1601.04902","snapshot_observed_at":"2026-08-06T17:56:43.261665Z","title":"PupilNet: Convolutional Neural Networks for Robust Pupil Detection","venue":"cs.CV","work_id":"dfd4ba94-7e23-4a69-ba24-43e00cf4aa8f","year":2016},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.806830Z"},"links":{"cited_paper":"/paper/1601.04902","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:7fd4504332361ccd966f721aeecb2d21fa0bc6c31c3ee37c127ad3b500d11c3d","observation_id":"fa96f3fc-77e2-41f3-a93b-796734e72a33","resolution":{"observed_at":"2026-08-06T17:56:43.295278Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.00112","last_updated":"2017-10-30T10:55:00Z","snapshot_observed_at":"2026-07-06T06:07:07.703002Z","submitted_at":"2017-10-30T10:55:00Z","title":"PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.00112","snapshot_observed_at":"2026-08-06T17:56:42.818443Z","title":"Pupilnet v2","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.818443Z"},"links":{"cited_paper":"/paper/1711.00112","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:fb7b5570cf5624eed53d85f6d549fd617c3fb7f3fa9e1e23dd182e31057c5440","observation_id":"baad4db7-8057-4385-8ae2-c50d6f792c77","resolution":{"observed_at":"2026-08-06T17:56:42.818443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.712330Z","title":"A framework for generalizable neural networks for robust estimation of eyelids and pupils","venue":null,"work_id":"0cb75759-b239-489d-9191-6feeca6f9a02","year":2023},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:41.853350Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:88cc5953fd7aa3d3a42012e43d35750fdb2a5287cc7344923c1f2bf82ca03ec1","observation_id":"ef8a9905-65da-48e2-a502-75df9d2ad5ee","resolution":{"observed_at":"2026-08-06T17:56:44.720898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.611821Z","title":"Beyond the label itself: La- tent labels enhance semi-supervised point cloud panoptic segmentation","venue":null,"work_id":"bda78886-d62e-4154-865a-2ee8c78c1e62","year":2024},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.606879Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:1e1403e0c78a15b350f2215e373f5f42583520010c1c899b8b90f8ec04763e97","observation_id":"96d2a722-3bff-4a55-aa43-2f0438a5444d","resolution":{"observed_at":"2026-08-06T17:56:44.620430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7062","last_updated":"2016-06-07T04:00:08Z","snapshot_observed_at":"2026-07-06T04:04:27.398466Z","submitted_at":"2014-12-22T17:18:33Z","title":"Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7062","snapshot_observed_at":"2026-08-06T17:56:42.175665Z","title":"Se- mantic image segmentation with deep convolutional nets and fully connected crfs","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.175665Z"},"links":{"cited_paper":"/paper/1412.7062","citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:dc3d974681a720e171fb77189240f4b26890b1a1ff624dc5cb87eb6f2951ee7c","observation_id":"62d38072-32c1-47d2-942c-621105249f51","resolution":{"observed_at":"2026-08-06T17:56:42.175665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.427186Z","title":"Boundary-aware geometric encoding for semantic seg- mentation of point clouds","venue":null,"work_id":"068bc20a-3505-4197-b302-9c91e46b9da2","year":2021},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.854498Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:b534d0845933c9a4b095c5eedeb95db4a8e31b09eb7037c476dafb23ab750d14","observation_id":"e30ad41e-be4e-4d5d-bcae-9dc5343406bc","resolution":{"observed_at":"2026-08-06T17:56:44.438548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2401.15741","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:43.412090Z","title":"Sernet-former: Semantic seg- mentation by efficient residual network with attention- boosting gates and attention-fusion networks","venue":null,"work_id":"4788a877-dc48-4763-8a33-40e7892cad02","year":2024},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.755779Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:22eb1c28cdbf65295592d9ff54ea27eb09a1009748112ec4d650c2980bfd9280","observation_id":"88027b16-58cc-4046-a0a9-f2aef6c8b845","resolution":{"observed_at":"2026-08-06T17:56:43.441333Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.539752Z","title":"Ex- cuse: Robust pupil detection in real-world scenarios","venue":null,"work_id":"7020b500-9dc2-495b-b8d2-b2dd53198e56","year":2015},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.796045Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:c35cbf0b6bed875ecc1a203532b323b191489a70051df22d621566e516f93dd7","observation_id":"baab1948-b059-47fa-8af2-5b585a904c26","resolution":{"observed_at":"2026-08-06T17:56:44.545642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.671190Z","title":"Ritnet: Real-time semantic segmentation of the eye for gaze tracking","venue":null,"work_id":"2161dc57-da8c-496b-a43b-b4a244e7caa7","year":2019},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.008538Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:1c63dd8611a3549d156190f459b3d5dc375916a4553fdfaaea0735bb23a6e456","observation_id":"0e1938be-9f3a-4925-a2a1-08e2099c0eae","resolution":{"observed_at":"2026-08-06T17:56:44.684799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:56:44.591369Z","title":null,"venue":null,"work_id":"ddc5689b-173d-4958-9f1c-9cf81f13fd18","year":2021},"citing_paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:42.688168Z"},"links":{"citing_paper":"/paper/2507.09649"},"observation_digest":"sha256:33b099be6e1e69c37c5879deeae52fdf593a3187b48c63471a33659496746f88","observation_id":"1d385fe5-177b-443a-870b-07dbdda884f5","resolution":{"observed_at":"2026-08-06T17:56:44.598498Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.09649","last_updated":"2025-07-13T14:33:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T17:48:16.552799Z","submitted_at":"2025-07-13T14:33:10Z","title":"EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":4,"verified_fuzzy":30},"total_outbound_references":40},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.09649."}