{"as_of":"2026-08-19T17:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:996e59413b5a3345d964fd0980727a6815f7e126ff8a12b5a5f4570d7e96e55e","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T21:45:03.433667Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2412.04184/citation-record","integrity":"/paper/2412.04184/integrity","json":"/paper/2412.04184/citation-record.json","paper":"/paper/2412.04184"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1167/11.5.5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.577543Z","title":"W., Hayhoe, M","venue":null,"work_id":"4db78d92-c9da-4423-bc4f-9cd2c14af07d","year":2011},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.303100Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:957e32e24430a9e913194e03b3066be354fe5e6d02d7d36942e572e4d32bc5ce","observation_id":"d6840fb2-a0a8-4f25-89c9-404d92ce3a86","resolution":{"observed_at":"2026-08-11T21:45:03.579801Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/beheco/aru171","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.571281Z","title":"E., Langrock, R., Walters, J","venue":null,"work_id":"e43e15ef-c31d-4947-abf2-f675d25dd0e0","year":2015},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.306373Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:05bc26d108cd5200d8d8aff6c1de07c71eca20b1d6eb9eca8e0176a01a598454","observation_id":"d4abedb3-d466-441b-906e-ab184d7d0892","resolution":{"observed_at":"2026-08-11T21:45:03.573472Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.252545Z","title":"& Stockman, G","venue":null,"work_id":"138732a6-5d12-4f05-872d-9897f5681f44","year":2001},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.309125Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:bc195a87e593a3e73cba3ae7b4e20f44d7a805e2d9df2eeeb9d590a868e0f6f7","observation_id":"40e487ed-db78-4a67-9c43-3c1d7e7f16d5","resolution":{"observed_at":"2026-08-11T21:45:04.254991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.246019Z","title":null,"venue":null,"work_id":"a7a24e9a-61b0-4e6a-a05b-099bd4abeb63","year":2022},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.311842Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:c322da52ed13b5070465dc62fa8f90c901ce8e12eb2e6c4dee3889cddd96a4b5","observation_id":"4ac215b9-3591-4e21-ac12-904bb3295b48","resolution":{"observed_at":"2026-08-11T21:45:04.248436Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.314310Z","title":"A., Thomas, L., Wilcox, C., Ovaskainen, O","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.314310Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:fe81148807f59b8518c0c73874394bc8193bcafa38984875598548545a03ad16","observation_id":"4f0d58a1-6557-4ddc-83d5-94767685113c","resolution":{"observed_at":"2026-08-11T21:45:03.314310Z","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":"2026-08-11T21:45:04.239156Z","title":"C., Kello, C","venue":null,"work_id":"c36a7cf6-0911-44f1-a69e-f861d6e82d38","year":2014},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.317173Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:8be230347346f9ecf15ebc7e28fe3ab05b998908ff956c556afb602b1b10565d","observation_id":"1cd3698c-ea5e-472d-86aa-68dee4f502fd","resolution":{"observed_at":"2026-08-11T21:45:04.241610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cognition.2015.12.015","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.560024Z","title":"E., Rhodes, T","venue":null,"work_id":"44410afe-b391-46a0-a9c5-c0f08c6bfdf8","year":2016},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.319899Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:c646c88e5139ceadfd44fc2ac2baf824a50bbf70d6c87c213819f68d62d8dd2f","observation_id":"c57814c0-25c3-4f26-927c-6db822e16338","resolution":{"observed_at":"2026-08-11T21:45:03.562747Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.232981Z","title":"& Khanna, R","venue":null,"work_id":"9a8f5222-2a99-4531-87c1-527e11386146","year":2015},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.322705Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:4eecffdae714856a2eaafa41a1526550c2707c9add1307e318f12a5055d534b1","observation_id":"da670379-0445-4801-8c6a-62f4eda6fda0","resolution":{"observed_at":"2026-08-11T21:45:04.235057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.325151Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.325151Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:0881defb5ecc5866ace9feedeee65f19ffd494da82d97cc82b1a51bdb7eafa72","observation_id":"a57b5d43-beff-4544-b29b-2c0bff0b38d7","resolution":{"observed_at":"2026-08-11T21:45:03.325151Z","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":"10.1111/2041-210x.12155","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.548445Z","title":null,"venue":null,"work_id":"c56b7246-8964-48e2-91c4-b60c5f2ff3a5","year":2014},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.327789Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:aff7ff01c124fd5fa023dce8fd12e4ce1fb40f364218cea77d5951a2268a3846","observation_id":"33468fd6-120c-4a19-aaab-5ba1e2226bd8","resolution":{"observed_at":"2026-08-11T21:45:03.550932Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/2041-210x.12657","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.540392Z","title":"Analysis of animal accelerometer data using hidden markov models","venue":null,"work_id":"e3bcf4f3-36ce-461a-b353-b023541e6026","year":2017},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.330325Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:fbf6f33396ebab815d31fd6dc0bec1773aa9fc6a3b1de36a33d5d40e07cf34bd","observation_id":"13a58e32-9aa1-4137-8b5b-52725fb408fe","resolution":{"observed_at":"2026-08-11T21:45:03.543820Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/ecy.1880","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":null,"venue":"Ecology","work_id":"96a7d43f-dcf4-4757-975f-25b3330e85c3","year":2017},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.332793Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:06d5842051ae19be4cec6aa40e591b986ee2035a10d1cb6ea180083670c3dde5","observation_id":"b81e63b7-4978-4cb1-8d8d-2f0377560745","resolution":{"observed_at":"2026-08-11T21:45:03.535316Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s13369-022-07054-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.525140Z","title":"& Gourisaria, M","venue":null,"work_id":"c2c9b63b-606a-4d07-ba85-23038622f222","year":2023},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.335366Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:cd76fe507a09644f3be92af3b399267e78c76bf5824739a48414e9ad1e4b329d","observation_id":"a9e42500-0f98-4037-b6bc-52b80f948db9","resolution":{"observed_at":"2026-08-11T21:45:03.527863Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/isacv","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:04.148647Z","title":"& Elhassouny, A","venue":null,"work_id":"a1c618aa-e25e-4a9f-ace2-e6561371f1f5","year":2018},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.337932Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:314020b75cb1f8da0a0f8ce4ccc7c3d1a757f69b72aee3095dbc188683886ce9","observation_id":"4a1c7d68-e483-41f5-8a08-8a5023efce1d","resolution":{"observed_at":"2026-08-11T21:45:04.151466Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.227236Z","title":"Variational autoencoder for deep learning of images, labels and captions","venue":null,"work_id":"7baebdc3-cf18-4607-9c18-7855307913a3","year":2016},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.340314Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:11a6f337bd7ba695eebf1cea2ef2549914a0a5bd60535cb81997689427aee16c","observation_id":"12ad11ad-d768-413f-9fce-4f9c034835ac","resolution":{"observed_at":"2026-08-11T21:45:04.229387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.2661","last_updated":"2014-06-10T18:58:17Z","snapshot_observed_at":"2026-08-16T11:06:16.881602Z","submitted_at":"2014-06-10T18:58:17Z","title":"Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.2661","snapshot_observed_at":"2026-08-11T21:45:03.342711Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.342711Z"},"links":{"cited_paper":"/paper/1406.2661","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:682805c3fc0403915ee17a130e13cff5b198799807c123fa0ac064205c5421ff","observation_id":"bba60363-07cf-4506-aba9-52fb1d88f15c","resolution":{"observed_at":"2026-08-11T21:45:03.342711Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.345406Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.345406Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:0f130464891fc92ec6626aeda68e744c7e7cb26115c69fce6e3e8d92921f6707","observation_id":"4538812b-8f1b-4231-9c9b-ca6c869ac64f","resolution":{"observed_at":"2026-08-11T21:45:03.345406Z","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":"2019.88336","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:04.079326Z","title":"& Zhou, Y","venue":null,"work_id":"b4ff289d-c5b0-41fb-b16e-7985b427bce7","year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.347155Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:b9ad757f7923c52c595ec0301149ebe8ff851492f675001319cae69bfd88f0a9","observation_id":"2d8e9a89-635d-419c-9063-0809a3f8dd00","resolution":{"observed_at":"2026-08-11T21:45:04.084072Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.221511Z","title":"V ., Gerget, O","venue":null,"work_id":"fe9dbff1-95a2-46d5-b247-d30b2ba050ac","year":2021},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.349124Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:8c5ccba1be6b1d13a20e02c60046005cc9d9afe11054fa237a3cb717c2401364","observation_id":"17dd5fb3-d64b-4c59-9fad-536a8abcf5cf","resolution":{"observed_at":"2026-08-11T21:45:04.223432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.11096","last_updated":"2019-02-25T21:32:06Z","snapshot_observed_at":"2026-07-06T07:04:57.275371Z","submitted_at":"2018-09-28T15:38:49Z","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.11096","snapshot_observed_at":"2026-08-11T21:45:03.351091Z","title":"& Simonyan, K","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.351091Z"},"links":{"cited_paper":"/paper/1809.11096","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:d67328adf7874e8c3b920c7c3c3bc0bf319133d9fd87106c6895504f44cb1980","observation_id":"822e7daa-7684-4deb-b0c7-837803e26b52","resolution":{"observed_at":"2026-08-11T21:45:03.351091Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.353438Z","title":"& Efros, A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.353438Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:a542394f179818045b78192c13e19f7b260d60be1acfcee99e8db4d92e78a856","observation_id":"06ee6f03-078b-4a6d-b8c7-2be4370d85d5","resolution":{"observed_at":"2026-08-11T21:45:03.353438Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.355432Z","title":"& Ward, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.355432Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:21ef37f75c59e9f8f3f88fc6bc649112bcb62690af778058647f91ba7fb4c478","observation_id":"0ad3afac-b98e-4010-b12c-621d14def41a","resolution":{"observed_at":"2026-08-11T21:45:03.355432Z","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":"2026-08-11T21:45:04.215484Z","title":"& Alahari, K","venue":null,"work_id":"e7327e4c-5f40-4909-81f3-4f2edb1213d3","year":2018},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.357552Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:a294122476db707357a46c4f5f3af8af3e9f43a8a941a2e349ea0d434dedd942","observation_id":"31ac03ba-ef9b-4f78-b93a-6cb27797223a","resolution":{"observed_at":"2026-08-11T21:45:04.217812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/e22040410","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.505450Z","title":"& Wang, H","venue":null,"work_id":"3805995f-fe8c-4f5c-9215-db3b7f4b9db9","year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.359515Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:41e14d1d436b93701006e6b9e4b91cd63a597b253924cba66220bbe3c72c0fa1","observation_id":"05ed4df2-80c2-4273-979e-52e466d45cf7","resolution":{"observed_at":"2026-08-11T21:45:03.508321Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.207241Z","title":null,"venue":null,"work_id":"bc4f4887-bc1f-460e-b735-664dd98ce6bd","year":2014},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.361483Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:0ee54465a5624e0d25e723b9de84c700758d230e3acdecb1e5a7bb64f0f990b5","observation_id":"3541f58d-2cf7-4959-b108-ddfc37105e1c","resolution":{"observed_at":"2026-08-11T21:45:04.209628Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.200758Z","title":null,"venue":null,"work_id":"9bf0d646-9cb5-44a9-adf5-649ea05e6a5a","year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.363826Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:d754471b13b7b12c06aa4ba512e0a607ad392d1489472075dbf71259ee81ca52","observation_id":"b434bf0c-6029-4be6-99a5-cb84f22d27d4","resolution":{"observed_at":"2026-08-11T21:45:04.203063Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.366305Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.366305Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:05f1b8e990f3c916a17398a95942f40859d1c8f60c5fe06992c8b9196987d842","observation_id":"7acd023b-8cdb-4329-a050-7f20e22d15f7","resolution":{"observed_at":"2026-08-11T21:45:03.366305Z","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":"2026-08-11T21:45:04.193895Z","title":"Computational complexity of neural networks: a survey","venue":null,"work_id":"35aacabb-f2a3-4749-975f-49b378be5430","year":1994},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.369063Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:d008f5b4114c1873cdc90c9334852f8d33a1caa0498895fa6092860635c49eb5","observation_id":"ed0840d3-3f12-4a29-92cb-fae3d7a1f88c","resolution":{"observed_at":"2026-08-11T21:45:04.196449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.07875","last_updated":"2017-12-06T20:01:54Z","snapshot_observed_at":"2026-08-17T13:47:14.071303Z","submitted_at":"2017-01-26T21:10:29Z","title":"Wasserstein GAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.07875","snapshot_observed_at":"2026-08-11T21:45:03.371654Z","title":"& Bottou, L","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.371654Z"},"links":{"cited_paper":"/paper/1701.07875","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:c53121ae2fd42e8f455434b9330123aace516d1c3512c3e3119243cbb7a85d8e","observation_id":"37b9eaeb-d812-40ac-9820-06ec47de1787","resolution":{"observed_at":"2026-08-11T21:45:03.371654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.04316","last_updated":"2020-05-08T23:36:50Z","snapshot_observed_at":"2026-07-06T09:18:56.122938Z","submitted_at":"2020-05-08T23:36:50Z","title":"Advances in Quantum Deep Learning: An Overview","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.04316","snapshot_observed_at":"2026-08-11T21:45:03.374497Z","title":"& Ramakrishnan, G","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.374497Z"},"links":{"cited_paper":"/paper/2005.04316","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:c01f3d7551a082bd5567c6e4acbe8ff636068d332cb7da9ff186ae5de6bbabda","observation_id":"6c1d043f-b7af-4288-bf3b-c8d5ef9d0766","resolution":{"observed_at":"2026-08-11T21:45:03.374497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.3489","last_updated":"2015-05-22T00:20:28Z","snapshot_observed_at":"2026-08-14T23:08:05.445053Z","submitted_at":"2014-12-10T23:05:16Z","title":"Quantum Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.3489","snapshot_observed_at":"2026-08-11T21:45:03.377250Z","title":"& Svore, K","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.377250Z"},"links":{"cited_paper":"/paper/1412.3489","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:fb45b44bd54944c3c8a5815eed35b19545cd5ebd5f3408ce20c0a233d8d73014","observation_id":"0e90c9bd-2e69-43a2-8c68-01ad77b27895","resolution":{"observed_at":"2026-08-11T21:45:03.377250Z","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":"2023.13383","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.928272Z","title":"R., Yazidi, A","venue":null,"work_id":"c05cd77c-b85b-4e3f-9543-0b1a641b3373","year":2023},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.380116Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:01ef3376fab00aac68dd8b231f15225b14a1e4becff616b59a5015bf3976355b","observation_id":"86add261-c67d-418f-8990-259b14017225","resolution":{"observed_at":"2026-08-11T21:45:03.932004Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.382672Z","title":"& Zheng, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.382672Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:d63eaf379e967240bee5b138b3c77f83f0a10b8cb91b28e80e274aa30101680c","observation_id":"a040ce7f-891a-4e8b-b90b-2cada248aeed","resolution":{"observed_at":"2026-08-11T21:45:03.382672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.08446","last_updated":"2018-02-20T22:10:33Z","snapshot_observed_at":"2026-08-19T13:51:05.392602Z","submitted_at":"2017-10-23T18:30:56Z","title":"Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.08446","snapshot_observed_at":"2026-08-11T21:45:03.385355Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.385355Z"},"links":{"cited_paper":"/paper/1710.08446","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:77e2c77de2e3139f49c8152e806ed199ae8fa8621b0dafdc495a39c0401c256e","observation_id":"c30faa8c-e9fb-49ce-994e-422b7f10f28f","resolution":{"observed_at":"2026-08-11T21:45:03.385355Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.388143Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.388143Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:c1de2b81f49310a1b072051a5b8c29073c3e48dd69b5e2c3e5f7835ac1a97940","observation_id":"12611615-f0c6-420a-bf8c-ec3925be81cc","resolution":{"observed_at":"2026-08-11T21:45:03.388143Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.390625Z","title":"& Keuper, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.390625Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:2323754d96cfe21114a789238caf582ac318e9cd37f6b7bc375b67dc9fbced01","observation_id":"497d9f19-bd10-4de7-8ace-cfc1e838311d","resolution":{"observed_at":"2026-08-11T21:45:03.390625Z","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":"10.1111/2041-210x.13853","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.489307Z","title":"& Bertrand, S","venue":null,"work_id":"7e111a6b-a71e-4396-aeaf-3c99a25085bf","year":2022},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.393042Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:d6d07bb70ebc7e39145052c9ec244a9621a9353ea1a52e5204d950e89f04a225","observation_id":"33db9ac1-b102-441d-8b05-abbf7c8a0f50","resolution":{"observed_at":"2026-08-11T21:45:03.492302Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.186548Z","title":null,"venue":null,"work_id":"e43c61f3-f8a1-4704-8149-1359f0b6780f","year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.395479Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:a1df519269b5bfb6eeef44deb3236daf443a739407d4cd4f3bfaddcd85acd6ee","observation_id":"614e50b0-b950-4b28-8256-c2aa20ea88c8","resolution":{"observed_at":"2026-08-11T21:45:04.188998Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.398007Z","title":"& Ren, J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.398007Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:a632507001bc5e42045b61d7550a865dc3c36cc40dfa830cf18667525c7198ef","observation_id":"37fa223a-e4d5-4c78-8404-6b966ddc5971","resolution":{"observed_at":"2026-08-11T21:45:03.398007Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.400575Z","title":"& Lecomte, N","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.400575Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:d457cb514a82b26deab584eaf21af5f1e539f85478ab21ef650a6dbc88aab3de","observation_id":"2fe83ae0-8a63-432a-9da6-40c0cface96f","resolution":{"observed_at":"2026-08-11T21:45:03.400575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02633","last_updated":"2017-12-04T04:31:38Z","snapshot_observed_at":"2026-08-15T07:55:49.132775Z","submitted_at":"2017-06-08T15:19:02Z","title":"Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02633","snapshot_observed_at":"2026-08-11T21:45:03.403991Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.403991Z"},"links":{"cited_paper":"/paper/1706.02633","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:9c7624bce8a628fb7962bb48cdf7c4c17772680fd7a673d1268c88361aea295e","observation_id":"8e9d0ed7-0df8-4837-b922-4bb31d0420f9","resolution":{"observed_at":"2026-08-11T21:45:03.403991Z","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":"10.1145/3474838","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.471713Z","title":null,"venue":null,"work_id":"ab517d02-beb1-4549-93b4-a943e4f8ccce","year":2022},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.406658Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:96ba95cb6402e6c0954712e9d830f4960072e4ab55d37f505c353b46d417a830","observation_id":"09411ac0-0e50-45a9-843e-c42b437abeb9","resolution":{"observed_at":"2026-08-11T21:45:03.474463Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06434","last_updated":"2016-01-07T23:09:39Z","snapshot_observed_at":"2026-08-12T18:43:14.431633Z","submitted_at":"2015-11-19T22:50:32Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06434","snapshot_observed_at":"2026-08-11T21:45:03.409969Z","title":"& Chintala, S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.409969Z"},"links":{"cited_paper":"/paper/1511.06434","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:f89530ce2181f78dbd477a2696ef33defd3f9d295805e52f77d2d0ed53ff5df4","observation_id":"fb6276a9-5782-4724-a9b3-a402925e396d","resolution":{"observed_at":"2026-08-11T21:45:03.409969Z","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":"2026-08-11T21:45:04.179680Z","title":"Discrete-Time Markov Chains, 63–109 (Springer International Publishing, Cham, 2020)","venue":null,"work_id":"f7d3d421-bd3c-4c1c-85d3-f50f9ef39996","year":2020},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.412951Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:231c9312f8701fc8a36e1794769184b4584084b03d07936272cc852aadc7bcd8","observation_id":"e6abb468-22ff-4d33-b4a8-bbadd33c1453","resolution":{"observed_at":"2026-08-11T21:45:04.182191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.415331Z","title":"A tutorial on hidden markov models and selected applications in speech recognition","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.415331Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:dcff9909fdaff825f63b28002a674df41953d59ee6a878689ccc14afae5a30a4","observation_id":"c3280873-d529-442d-aca0-fac7da2ea576","resolution":{"observed_at":"2026-08-11T21:45:03.415331Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.417789Z","title":"E., Petrie, T., Soules, G","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.417789Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:dc6520c5225f22d14b75e9f9b954b3d4007fe98cd4bf604d0024a6157f7dfb11","observation_id":"ccd5f045-a0c2-4296-ba4f-d6d8d90d0aaa","resolution":{"observed_at":"2026-08-11T21:45:03.417789Z","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":"2026-08-11T21:45:04.172396Z","title":"EyeLink 1000 Manual (2024)","venue":null,"work_id":"228c53c2-fc54-4846-b865-04a7f3efdbf4","year":2024},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.419605Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:4a44720d57732dc65e37017574673cb595167363b2a43dd00ec0143227380176","observation_id":"86e28c25-4352-47e2-b3dc-41addeb72af0","resolution":{"observed_at":"2026-08-11T21:45:04.175127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T21:45:04.165048Z","title":"Where’s Waldo (Candlewick Press, Somerville, MA, USA, 2007)","venue":null,"work_id":"a013c911-b304-43d5-9e3e-9b5f860d9d86","year":2007},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.421406Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:f4844cbedc57772793d0441e119112a7c20cc14d80b8bf341762e4d7dbf606b5","observation_id":"27d513c9-947a-4ad6-a8d2-935a48102005","resolution":{"observed_at":"2026-08-11T21:45:04.167907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.423200Z","title":"B., Cavalcanti, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.423200Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:1b1aa5b833eabce2547af89fc5020c1263ee841906ea900ab2121f65bb1a9245","observation_id":"98c4416e-a4f2-4b53-a247-fb4edb208f2f","resolution":{"observed_at":"2026-08-11T21:45:03.423200Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.424974Z","title":"On the jensen–shannon symmetrization of distances relying on abstract means","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.424974Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:5b88fea446d49521dc2e99444167410b5785b1d1fb0d5cce4d173f9a667eafb2","observation_id":"5517995c-f57c-401c-b33b-a72c33973b1c","resolution":{"observed_at":"2026-08-11T21:45:03.424974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08994","last_updated":"2019-04-18T20:15:08Z","snapshot_observed_at":"2026-08-17T12:14:26.228373Z","submitted_at":"2019-04-18T20:15:08Z","title":"From GAN to WGAN","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08994","snapshot_observed_at":"2026-08-11T21:45:03.426850Z","title":"From GAN to WGAN (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.426850Z"},"links":{"cited_paper":"/paper/1904.08994","citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:7744e1da9e7dcfe89b1cf1113dc9d3c5a5d36276278ec93829054411f0b325f2","observation_id":"324bf205-9d47-4b3f-8632-3f66109ccc07","resolution":{"observed_at":"2026-08-11T21:45:03.426850Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.429187Z","title":"& Lind, P","venue":null,"work_id":null,"year":1934},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.429187Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:bc874cb5ad5cacdc684d3a747091cdb6f426510b65b3182e40d7788468365221","observation_id":"fb0cb1f4-6b59-43e4-9797-d33dba356d16","resolution":{"observed_at":"2026-08-11T21:45:03.429187Z","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":"2026-08-11T21:45:04.157415Z","title":"Density Estimation for Statistics and Data Analysis (Routledge, New York, NY , USA, 1998), 1st edn","venue":null,"work_id":"ef38e9ed-cb52-4956-9dbb-3b9dcbb0be41","year":1998},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.431266Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:43dcf83bd00098b99feee3cfa133836a4188ea5697488c5eba1b6df2480dfc8b","observation_id":"407f66d7-90d2-45a0-bb05-efc856ce76bc","resolution":{"observed_at":"2026-08-11T21:45:04.160435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/b978-0-12-802767-7.00008-5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:45:03.452472Z","title":"Chapter 8 - variants of hsmms","venue":null,"work_id":"e29d682f-19fd-44d1-ac93-a1f50d280405","year":2016},"citing_paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T21:45:03.433667Z"},"links":{"citing_paper":"/paper/2412.04184"},"observation_digest":"sha256:0fa18b93964258458f6eb9d9d36db9649d11e72553eb2333d04afdc1d6689ec9","observation_id":"841ea87f-4638-4f0e-942d-08c4a2da2907","resolution":{"observed_at":"2026-08-11T21:45:03.456227Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.04184","last_updated":"2024-12-05T14:23:40Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-15T19:33:52.936091Z","submitted_at":"2024-12-05T14:23:40Z","title":"Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":2,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":28,"verified_exact":11,"verified_fuzzy":11},"total_outbound_references":54},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.04184."}