{"as_of":"2026-08-15T17:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f8464b7f90815aaacbaded93496eb7b9fbd255c14eec92f40119a2275f03d6a4","coverage":[{"denominator":147,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T21:02:52.767094Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2411.09176/citation-record","integrity":"/paper/2411.09176/integrity","json":"/paper/2411.09176/citation-record.json","paper":"/paper/2411.09176"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.06920","last_updated":"2018-06-14T12:46:23Z","snapshot_observed_at":"2026-08-15T08:36:52.193486Z","submitted_at":"2018-06-14T12:46:23Z","title":"Maximum a Posteriori Policy Optimisation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.06920","snapshot_observed_at":"2026-08-12T21:02:52.143696Z","title":"Maximum a posteriori policy optimisation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.143696Z"},"links":{"cited_paper":"/paper/1806.06920","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:f051aa3c82fcc0193fdc904fb320215348fea3b61a67fbb522c9c172d0084caa","observation_id":"696c6dd1-b521-4a31-bf9a-7ca090bd64c6","resolution":{"observed_at":"2026-08-12T21:02:52.143696Z","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":"2026-08-12T21:02:52.150272Z","title":"Deep-bcn: Deep networks meet biased competition to create a brain-inspired model of attention control","venue":null,"work_id":null,"year":1932},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.150272Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:dd5b57940ac317f1ddcb9e6f28897a24a8aec19e6256893727d255975d84a4ce","observation_id":"f4d8d772-c991-41f2-b385-20768f9d0e6a","resolution":{"observed_at":"2026-08-12T21:02:52.150272Z","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":"2026-08-12T21:02:52.156041Z","title":"Persistence of value-driven attentional capture","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.156041Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:38ebabfee23ea5cc9b2adb10b16efaf98f4cbcdc23e546c57a1af96976b12da1","observation_id":"a160eb19-07d5-4b33-805c-e66eebbe800c","resolution":{"observed_at":"2026-08-12T21:02:52.156041Z","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":"2026-08-12T21:02:52.161531Z","title":"Value-driven attentional capture","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.161531Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:b5b69a5dc08f7708a480f6fd1b3ab947001a6280cc68848ada36aebf2be2ced6","observation_id":"d390d274-fe75-4319-9f42-64edcf036b53","resolution":{"observed_at":"2026-08-12T21:02:52.161531Z","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":"2026-08-12T21:02:52.165943Z","title":"Learning dexterous in-hand manipulation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.165943Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:4bb89257f5ef02655258194281ee1c8b94d2fa2beec09fe49801ee5b65eca75e","observation_id":"dde4113d-da67-4adf-afcb-fe94accccc8d","resolution":{"observed_at":"2026-08-12T21:02:52.165943Z","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":"2026-08-12T21:02:52.170252Z","title":"Boosted visual performance after eye blinks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.170252Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:fa8c11df8dfe0ba3036525451afa6d7b488ad3971cf492d13942457c35e9ffb4","observation_id":"7e21a288-070a-4604-b4a1-bb2f8945ddd7","resolution":{"observed_at":"2026-08-12T21:02:52.170252Z","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":"2026-08-12T21:02:52.175657Z","title":"Rudder: Return decomposition for delayed rewards","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.175657Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:fb536f9fccd5c8a320c503f2f6f3457c80587d59c070055efe63c6f5c34bcbc0","observation_id":"a0ee21ad-7937-49ff-b5ef-d33a89aa9378","resolution":{"observed_at":"2026-08-12T21:02:52.175657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7755","last_updated":"2015-04-23T16:49:23Z","snapshot_observed_at":"2026-08-14T23:57:21.557178Z","submitted_at":"2014-12-24T20:58:23Z","title":"Multiple Object Recognition with Visual Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7755","snapshot_observed_at":"2026-08-12T21:02:52.181082Z","title":"Multiple object recognition with visual attention","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.181082Z"},"links":{"cited_paper":"/paper/1412.7755","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:89bf414b48a2cdb085c28225c645051224419e83bc565d8e30a6c8e22471bdc9","observation_id":"5c9c0255-123b-4fe8-8a06-c1e4427338ed","resolution":{"observed_at":"2026-08-12T21:02:52.181082Z","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":"2026-08-12T21:02:52.186669Z","title":"Confidence controls perceptual evidence accumulation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.186669Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:8ed2a3330773a97f3203cce3697bb02a5fa1d56dcad23d2081474bc3593d8293","observation_id":"08b582be-4734-4a99-a1b6-66c65140444d","resolution":{"observed_at":"2026-08-12T21:02:52.186669Z","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":"2026-08-12T21:02:52.192063Z","title":"Reaction time latencies of eye and hand movements in single-and dual-task conditions","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.192063Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:038478aa8a80de4be59f2308980a8ce3885ef3ff2423df25520c41a44f82719c","observation_id":"54d63350-4b3d-499b-8a5b-b5e461323d48","resolution":{"observed_at":"2026-08-12T21:02:52.192063Z","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":"2026-08-12T21:02:52.197193Z","title":"Dynamic programming and optimal control: Volume I","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.197193Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:e73e8090c5c560389b694b6a529dea82ccfeb1fc1bdedfb6eb7cab2cda237df4","observation_id":"4152f323-70e7-4b4b-800f-a448d3798019","resolution":{"observed_at":"2026-08-12T21:02:52.197193Z","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":"2026-08-12T21:02:52.203086Z","title":"Scene perception: Detecting and judging objects undergoing relational violations","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.203086Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:46ed8fb6cda0a62f25a449fa3b5fb1021bf603e43f75edd4df1073bea5267c50","observation_id":"8177e0ac-ab11-4016-bf57-727dced000bc","resolution":{"observed_at":"2026-08-12T21:02:52.203086Z","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":"2026-08-12T21:02:52.208191Z","title":"What/where to look next? modeling top-down visual attention in complex interactive environments","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.208191Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:c384dfcc70ece35d42c51964525b44f1c7a25b574ffb8903fb812263e17d1ccf","observation_id":"a4647ec9-5ffe-4527-8ece-fa41de37b923","resolution":{"observed_at":"2026-08-12T21:02:52.208191Z","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":"2026-08-12T21:02:52.213187Z","title":"Visual long-term memory has a massive storage capacity for object details","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.213187Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:284088e7a0fbe2aac18e994c735158e6d08a3d405f030cfe960ced68cda43f5d","observation_id":"89738a4f-05a7-46b0-92d7-1e52843a71ae","resolution":{"observed_at":"2026-08-12T21:02:52.213187Z","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":"2026-08-12T21:02:52.218239Z","title":"A bayesian optimal foraging model of human visual search","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.218239Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:c8ac06521f73aae87d0b9251801b7131989ccd3bc52f9362d7e0025c4e0babce","observation_id":"df9fc657-4d57-4bed-8dce-9c894b299d1b","resolution":{"observed_at":"2026-08-12T21:02:52.218239Z","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":"2026-08-12T21:02:52.223321Z","title":"Fixation patterns in simple choice reflect optimal information sampling","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.223321Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:e0831048ba6cc99d27a8347b2e20fda4eb25bab7b49b6ae891947306342a3167","observation_id":"2fb68fb1-2798-4802-9338-61c4b3c4541a","resolution":{"observed_at":"2026-08-12T21:02:52.223321Z","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":"2026-08-12T21:02:52.228326Z","title":"Optimal foraging, the marginal value theorem","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.228326Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:edd7c8397df8ae84e17ed7db691769c436954f27498fddf7b88c10d6a0edad8b","observation_id":"540192c0-ddd6-4982-85d2-20ea02a5bd3f","resolution":{"observed_at":"2026-08-12T21:02:52.228326Z","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":"2026-08-12T21:02:52.235093Z","title":"Predicting human scanpaths in visual question answering","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.235093Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:5b45d445c9f1ed0b7cd0dd1c0e056a16ec8a03139d7648aebde4b2634ce868ea","observation_id":"9a03b442-df79-4483-9510-537abc8c6b37","resolution":{"observed_at":"2026-08-12T21:02:52.235093Z","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":"2026-08-12T21:02:52.240463Z","title":"Beyond average: Individualized visual scanpath prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.240463Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:c6e13b70782f6c04973a6038be26e248115613f2633d51eb1fbac255833f289c","observation_id":"4bcfed20-361d-4720-914d-2dcf8cd13db6","resolution":{"observed_at":"2026-08-12T21:02:52.240463Z","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":"2026-08-12T21:02:52.372775Z","title":"Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.372775Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:2b8b8646bab398b4e286517c38842283ad5b897237f7de6ef9af7a231d960f93","observation_id":"1a506fb7-fbae-433b-afea-05ea1d4a3661","resolution":{"observed_at":"2026-08-12T21:02:52.372775Z","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":"2026-08-12T21:02:52.378562Z","title":"Autoregressive generalized linear mixed effect models with crossed random effects: An application to intensive binary time series eye-tracking data","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.378562Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:abbc5eb4425c5b505c65f42c1573de4b1303b1be331f6a5bf1cc607a8f7aebe1","observation_id":"e7607933-8efb-433f-978e-b0230555950d","resolution":{"observed_at":"2026-08-12T21:02:52.378562Z","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":"2026-08-12T21:02:52.383683Z","title":"Eye movement analysis with switching hidden markov models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.383683Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:f746cde1b8efd6ebaa60b9853355c922aa2993bd687968e5ff5c40960f8943c8","observation_id":"9d18849a-7201-4798-9ab2-85d46fbbe4b1","resolution":{"observed_at":"2026-08-12T21:02:52.383683Z","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":"2026-08-12T21:02:52.389054Z","title":"Task-evoked pupil responses reflect internal belief states","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.389054Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:55bfb54b8d7ffb18e4875413942bfcab303b2a95a55dd7c6a72eb9a96b5f47ab","observation_id":"52c7e256-84ab-4620-870c-19f1321c3053","resolution":{"observed_at":"2026-08-12T21:02:52.389054Z","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":"2026-08-12T21:02:52.394018Z","title":"Dopamine and inhibitory action control: evidence from spontaneous eye blink rates","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.394018Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:30752549d49c52456a8ae33b6a22ab4883b25f8e0a748c48a1d49f1a97b7fae1","observation_id":"775d7e94-0f00-4331-9c96-4cf41bdb2a5c","resolution":{"observed_at":"2026-08-12T21:02:52.394018Z","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":"2026-08-12T21:02:52.399630Z","title":"Scanmatch: A novel method for comparing fixation sequences","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.399630Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:222f9913141fd0584c6b9dda4949540e682b1f8ad4ca3fd21dc2c2ba75dc6ab8","observation_id":"17481af8-b4cf-49d8-98cc-811d35f072fa","resolution":{"observed_at":"2026-08-12T21:02:52.399630Z","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":"2026-08-12T21:02:52.404808Z","title":"Maximum expected hitting cost of a markov decision process and informativeness of rewards","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.404808Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:818f2d6550eda537eed38b7b9fbb931ff0f5b2844839adeacfb6ffb94c13c7a3","observation_id":"a27a4dba-29c3-4592-8295-56d713d1dd15","resolution":{"observed_at":"2026-08-12T21:02:52.404808Z","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":"2026-08-12T21:02:52.409832Z","title":"Scanpathnet: A recurrent mixture density network for scanpath prediction","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.409832Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:e4bf769bf8cd6e9bdd359650effc5c6d0502a4a04f6b8e50e16bcb8d3329d6ee","observation_id":"4d08b436-8009-46d4-9ff5-01049e5bd8dd","resolution":{"observed_at":"2026-08-12T21:02:52.409832Z","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":"2026-08-12T21:02:52.414691Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.414691Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:36dfed2a014d3bbc53e592dd238587f44dfbd05c80ae08f8b47c1664dd3bfa61","observation_id":"ede7d987-69d1-4bfb-9697-8b04770e55de","resolution":{"observed_at":"2026-08-12T21:02:52.414691Z","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":"2026-08-12T21:02:52.419554Z","title":"Exploration-guided reward shaping for reinforcement learning under sparse rewards","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.419554Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:c9f0a86965bc450e29e693d449ca16902b78562d79d150483402b463fbe37f4b","observation_id":"58905a12-d1a3-4c0c-a223-10ca4fca8062","resolution":{"observed_at":"2026-08-12T21:02:52.419554Z","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":"2026-08-12T21:02:52.424781Z","title":"How does the brain solve visual object recognition? Neuron, 73(3):415–434, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.424781Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:70c7df13eba1b9af84d2f79ebff02db05b19f4510a28eed7640b0eff3edc1c7b","observation_id":"7095d63c-f96b-4db0-bedd-d2c3d66af7a1","resolution":{"observed_at":"2026-08-12T21:02:52.424781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.13470","last_updated":"2022-11-24T08:27:47Z","snapshot_observed_at":"2026-08-13T13:35:30.458485Z","submitted_at":"2022-11-24T08:27:47Z","title":"Efficient Zero-shot Visual Search via Target and Context-aware Transformer","version":1},"cited_work":{"arxiv_id":"2211.13470","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.13470","snapshot_observed_at":"2026-08-12T21:02:53.258793Z","title":"Efficient Zero-shot Visual Search via Target and Context-aware Transformer","venue":"cs.CV","work_id":"98a8063f-aed1-44b4-8709-866c01f50fdd","year":2022},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.430519Z"},"links":{"cited_paper":"/paper/2211.13470","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:f54c353829db1eaa6dec7101dc10557bb3dd63aab41a08cb1bf5835b8dba8bd8","observation_id":"a58f262b-93b8-4a56-bfbe-c895238b01b9","resolution":{"observed_at":"2026-08-12T21:02:53.264620Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:52.436263Z","title":"Prioritizing selection of new elements: Bottom-up versus top-down control","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.436263Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:57865090b387242cca08dbc25bf8ff654851342311e8685edb32b5f81e2f16c5","observation_id":"ce502c45-93c9-42b8-87aa-88375f59d2fa","resolution":{"observed_at":"2026-08-12T21:02:52.436263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T14:19:26.598265Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-12T21:02:52.441071Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.441071Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:f831911e7f4e12a035c183e6be9d1a13f45f648a933a825a868ac354eb0c0f59","observation_id":"6a2cec1f-8a65-43d2-85f0-9085c1b6920e","resolution":{"observed_at":"2026-08-12T21:02:52.441071Z","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":"2026-08-12T21:02:52.445786Z","title":"Searching for conjunctively defined targets","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.445786Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d0baabccf9abcb1793bf8c84f6448207601e4287ab31e815dc33c38c3fad2395","observation_id":"150d077a-944e-467e-aa32-9d2508cbefca","resolution":{"observed_at":"2026-08-12T21:02:52.445786Z","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":"2026-08-12T21:02:52.449886Z","title":"When is it time to move to the next map? optimal foraging in guided visual search","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.449886Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:a06c3fc65015867136368a59913d917f27d59adf63d4a42582a9f997d71e6ee0","observation_id":"d773cbc8-90e0-47b5-8d24-dbce6b7b5b8f","resolution":{"observed_at":"2026-08-12T21:02:52.449886Z","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":"2026-08-12T21:02:52.454212Z","title":"Spatial statistics and attentional dynamics in scene viewing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.454212Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:8cc966e47c1e4e37b23ec649e7569aa4624111b80d82e1fe4d8ff70b61b1c6af","observation_id":"63ff830b-59a1-48d6-a315-5b94f2f87a65","resolution":{"observed_at":"2026-08-12T21:02:52.454212Z","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":"2026-08-12T21:02:52.458714Z","title":"Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.458714Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:0c41bd7059995dc640371c9b32afb99e71fd9b4bf3a10bafb1811c2dd5435ca2","observation_id":"1a4b22b9-0a6f-4ea1-97f9-a37b99826f76","resolution":{"observed_at":"2026-08-12T21:02:52.458714Z","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":"2026-08-12T21:02:52.462843Z","title":"The antisaccade task in a sample of 2,006 young men: I","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.462843Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:3deee4d9c0ff8a27fd8cb0afd1c077987ef113bda6c290ca059c0e556d3eca98","observation_id":"6a5bc6cb-8b7f-407f-8a35-7e73a6580035","resolution":{"observed_at":"2026-08-12T21:02:52.462843Z","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":"2026-08-12T21:02:52.466811Z","title":"Contrastive learning as goal-conditioned reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.466811Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:6f5543b1db781fd516f19086a6e1e5e5a6d5930e0e673191e0606be2a09838b4","observation_id":"584b2cc8-e48f-44ed-b187-40c8cdebb924","resolution":{"observed_at":"2026-08-12T21:02:52.466811Z","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":"2026-08-12T21:02:52.471519Z","title":"Oat: Object-level attention transformer for gaze scanpath prediction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.471519Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:6325651f0a40a86134efc9aebb21c96586944b0b7905f10726358720113a0233","observation_id":"7a5e893f-4bca-4d5f-adce-13d03ad9580c","resolution":{"observed_at":"2026-08-12T21:02:52.471519Z","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":"2026-08-12T21:02:52.477529Z","title":"On the development of voluntary and reflexive components in human saccade generation","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.477529Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:62a7086d562b5e328aec3434ff72acdd74f831fd59e5df9622a49779e8059d68","observation_id":"78f4d7f5-fc9f-4b99-8471-b205b3cb270d","resolution":{"observed_at":"2026-08-12T21:02:52.477529Z","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":"2026-08-12T21:02:52.482403Z","title":"Smooth pursuit eye movements of patients with schizophrenia and affective disorder during clinical treatment","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.482403Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:36ef521cfdf7f92102ea65dbb13d333f7f2edc6fae46fe5b57df37cc82628de1","observation_id":"9f38ce6b-d53d-4c1d-9a1d-d4b27e1df858","resolution":{"observed_at":"2026-08-12T21:02:52.482403Z","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":"2026-08-12T21:02:52.487548Z","title":"Decoding go/no-go decisions from eye movements","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.487548Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:2dcf3bad525b5626c230ce78e07d577d20cdb0ac6e432d44fa8f49ad62b10c11","observation_id":"d0410ecc-6ffd-48e9-bc27-6fe81ffb88a1","resolution":{"observed_at":"2026-08-12T21:02:52.487548Z","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":"2026-08-12T21:02:52.492932Z","title":"What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.492932Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:4588910284002032a22fb5c1cfd1f705bd3840b1f9ae26b342f48b81d23bd0b3","observation_id":"38b4661e-98ed-45ca-90a1-58c06e224fc3","resolution":{"observed_at":"2026-08-12T21:02:52.492932Z","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":"2026-08-12T21:02:52.497905Z","title":"Metamers of the ventral stream","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.497905Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:da83977460b85ebd89400fe323d7497167c0c51541c7c452908897d926fbf9d8","observation_id":"d4713569-b640-4d91-84cc-d71f9a884c70","resolution":{"observed_at":"2026-08-12T21:02:52.497905Z","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":"2026-08-12T21:02:52.503157Z","title":"Eye movement monitoring as a process tracing methodology in decision making research","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.503157Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:6261143109666ceabd44937fea9da9b4eb064490a0a6c0386684ca5688a162bd","observation_id":"06931190-c80a-4cc3-8b84-d399ebc3c950","resolution":{"observed_at":"2026-08-12T21:02:52.503157Z","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":"2026-08-12T21:02:52.508152Z","title":"Value-based attention but not divisive normalization influences decisions with multiple alternatives","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.508152Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:ce61de8c529a0462306d65e5c2ed1f8a47df6497b945be11ac50d847f8b7d80c","observation_id":"89f9118d-96b6-41ca-a558-1381ea1d3ac6","resolution":{"observed_at":"2026-08-12T21:02:52.508152Z","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":"2026-08-12T21:02:52.512825Z","title":"Microsaccade production during saccade cancelation in a stop-signal task","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.512825Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:894d38b4530678de53bd84c645dd6ad6607349c8b4cc8d22341251c527c7a849","observation_id":"aa56f327-dcd3-442f-938b-e6dc17c5f9b7","resolution":{"observed_at":"2026-08-12T21:02:52.512825Z","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":"2026-08-12T21:02:52.517592Z","title":"A change in perspective: The interaction of saccadic and pursuit eye movements in oculomotor control and perception","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.517592Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:c188e53b9e71b46aaa15f3be00f2695f4bce9a0ae0c8c1caa5439d4184c5fa6e","observation_id":"3bce7f53-3010-446f-97e1-4a83991f3ee8","resolution":{"observed_at":"2026-08-12T21:02:52.517592Z","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":"2026-08-12T21:02:52.522269Z","title":"Reconstructing human gaze behavior from eeg using inverse reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.522269Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:1358b022296de9c5a48544821b1b05a441ca51e80cc82838e59f98acc8e2b562","observation_id":"6d2427da-ca43-41b0-8d07-35acb57b5aae","resolution":{"observed_at":"2026-08-12T21:02:52.522269Z","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":"2026-08-12T21:02:52.526881Z","title":"Visual search asymmetry: Deep nets and humans share similar inherent biases","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.526881Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:b6d2d19d3b69912d2d11f27d071c23999044dd858f8ab5b0520a1eaf520902f9","observation_id":"749c53db-49f7-4d5e-832f-afd6b81584e2","resolution":{"observed_at":"2026-08-12T21:02:52.526881Z","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":"2026-08-12T21:02:52.532000Z","title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.532000Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d7ed09371bf407290f6d3d14020aebdfdbec35ef449daa2023e49c2e7fe30956","observation_id":"eac7af70-aaa8-4ef7-93c3-b34eba1371cc","resolution":{"observed_at":"2026-08-12T21:02:52.532000Z","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":"2026-08-12T21:02:52.536914Z","title":"The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas v4, it for attention and eye movement","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.536914Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:4a8dabe585e30f7c7a82f8142137cea97b6c1c6c6a4be087424be3934c5f1678","observation_id":"380d3a3c-6ecb-4418-9d49-34c2f8a8654f","resolution":{"observed_at":"2026-08-12T21:02:52.536914Z","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":"2026-08-12T21:02:52.541602Z","title":"Stabilizing deep q-learning with convnets and vision transformers under data augmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.541602Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:493bae69b409fba7a7428cc3be2ff12e19883d64e4d622e36464499e826cc031","observation_id":"766512d1-3966-43ed-8f92-a2d5bd4e668c","resolution":{"observed_at":"2026-08-12T21:02:52.541602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18418","last_updated":"2025-05-14T18:27:05Z","snapshot_observed_at":"2026-08-12T23:55:53.017805Z","submitted_at":"2024-05-28T17:57:23Z","title":"Hierarchical World Models as Visual Whole-Body Humanoid Controllers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18418","snapshot_observed_at":"2026-08-12T21:02:52.546919Z","title":"Hierarchical world models as visual whole-body humanoid controllers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.546919Z"},"links":{"cited_paper":"/paper/2405.18418","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:33178a12cb6b2bbf5ae6734e4154cdfc4167c66401482254363eb3da895cfa12","observation_id":"b7c5ede3-fde4-4b07-81cd-71ec951ce91e","resolution":{"observed_at":"2026-08-12T21:02:52.546919Z","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":"2026-08-12T21:02:52.552400Z","title":"Monte carlo sampling methods using markov chains and their applications","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.552400Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:048c27d3fc688b20a1ffdee7465e0ec17bdf00db2bbbba6085aaa1e017929877","observation_id":"cb352c26-9a37-4b81-8a37-f56ab934cd8e","resolution":{"observed_at":"2026-08-12T21:02:52.552400Z","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":"2026-08-12T21:02:52.557188Z","title":"Object identification in context: the visual processing of natural scenes","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.557188Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:9eee5a5012aa9f391029d5fe46653196369d926a21539f1320c59308aec04916","observation_id":"e6b7f622-c134-4943-ab9c-d84ea19bd9c8","resolution":{"observed_at":"2026-08-12T21:02:52.557188Z","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":"2026-08-12T21:02:52.563325Z","title":"Eliminating inhibition of return by changing salient nonspatial attributes in a complex environment","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.563325Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:6687f3be16da8ac473a26f878dc1c9f3007d2fcd4147885c31629f8aba847a31","observation_id":"73145dd0-cae4-4c4c-8c44-f3a28f035ff0","resolution":{"observed_at":"2026-08-12T21:02:52.563325Z","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":"2026-08-12T21:02:52.569342Z","title":"Learning to reason: End-to-end module networks for visual question answering","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.569342Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:9273544557b504dd86a77a680562dac0904dada4735c8e18ab42bcdc21f3529b","observation_id":"4c92d825-f37b-4063-a4d3-cd55270db4ca","resolution":{"observed_at":"2026-08-12T21:02:52.569342Z","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":"2026-08-12T21:02:52.574343Z","title":"A saliency-based search mechanism for overt and covert shifts of visual attention","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.574343Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:3d0ccc1bcc8cfaec8897a68079860d843524aded7109aaef571b40dc9ff6efcf","observation_id":"30021821-ea5c-4397-9923-899d7230a230","resolution":{"observed_at":"2026-08-12T21:02:52.574343Z","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":"2026-08-12T21:02:52.578724Z","title":"Fantastic answers and where to find them: Immersive question-directed visual attention","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.578724Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:7ac8bddefee6a6eb5be11bc6f9f8a664fd03024cc1b92135e17001bb292bdda3","observation_id":"7d239ae0-f20c-4a5b-994e-f8f337ffeb73","resolution":{"observed_at":"2026-08-12T21:02:52.578724Z","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":"2026-08-12T21:02:52.582751Z","title":"Decision-related perturbations of decision-irrelevant eye movements","venue":null,"work_id":null,"year":1925},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.582751Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:868af2bc2adbca9769f202d494f0f3faa30208659ba8d66ac72a0d2d74b6a298","observation_id":"6dbc610e-a8a5-4f4f-a013-5a8088c43ba0","resolution":{"observed_at":"2026-08-12T21:02:52.582751Z","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":"2026-08-12T21:02:52.586718Z","title":"Differentiating between models of perceptual decision making using pupil size inferred confidence","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.586718Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:cd24c3dc969927e666b59548e5ce26ddec091234236bf9f2a92f1a1d87b5d66f","observation_id":"987afeca-a3ef-4f42-95d6-b5700c876e7b","resolution":{"observed_at":"2026-08-12T21:02:52.586718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-12T21:02:52.590818Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.590818Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d6ab72988af6a6294632c554a2fa952184919b52202126f34580165a3d068ff1","observation_id":"a7211597-64cf-4c24-b131-0bb0fb17bcf5","resolution":{"observed_at":"2026-08-12T21:02:52.590818Z","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":"2026-08-12T21:02:52.595378Z","title":"Canceling of pursuit and saccadic eye movements in humans and monkeys","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.595378Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:7f10b690f755b785b42677c35c2ae71e4484367605d1fac223cff75da24c672b","observation_id":"ec9350df-34ec-45fd-afda-370a13a0171d","resolution":{"observed_at":"2026-08-12T21:02:52.595378Z","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":"2026-08-12T21:02:52.599429Z","title":"A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.599429Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:2022353f68962899329bd0f6305c8503046a61e3065ac7662fdba32da33a853c","observation_id":"8e323457-04b7-48b9-b71e-91573ff748b9","resolution":{"observed_at":"2026-08-12T21:02:52.599429Z","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":"2026-08-12T21:02:52.603545Z","title":"Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.603545Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:70448d17e27737bd5a9b220b19023203ba28e8f8a645cbd14bc57b9eacbfacd6","observation_id":"2b728358-50fc-4aa6-8d68-0bdf8821e90c","resolution":{"observed_at":"2026-08-12T21:02:52.603545Z","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":"2026-08-12T21:02:52.607710Z","title":"Visual fixations and the computation and comparison of value in simple choice","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.607710Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:a8a98c8d0be3e0f65d07a0d8840c8f203dbb5a4511baa3b4c765ffd135e1414f","observation_id":"fee39547-e07b-4bfa-a903-2e22d86ae16f","resolution":{"observed_at":"2026-08-12T21:02:52.607710Z","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":"2026-08-12T21:02:52.612398Z","title":"The control of voluntary eye movements: new perspectives","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.612398Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:f5d50c360f319c42b2e6a7aa3b394bd9cf959815b7295abf9b422ed2ec0078b2","observation_id":"cef56adf-a531-4651-9621-374b94eb3bf2","resolution":{"observed_at":"2026-08-12T21:02:52.612398Z","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":"2026-08-12T21:02:52.617217Z","title":"Priming in visual search: Separating the effects of target repetition, distractor repetition and role-reversal","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.617217Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:771a94f7076dbad13e3c2ab934eca5dcd66a0e7923005560797129ea52e91826","observation_id":"60c6a0df-5022-47de-9c8f-2fc30a83857a","resolution":{"observed_at":"2026-08-12T21:02:52.617217Z","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":"2026-08-12T21:02:52.621909Z","title":"Current perspectives in medical image perception","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.621909Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:02f478c78ffaf83aac4dcd628f0d4a5a72d59e062225a93a85f677a2a7bd2b00","observation_id":"ce2b413a-84d8-451b-9b5d-9a4d360d70da","resolution":{"observed_at":"2026-08-12T21:02:52.621909Z","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":"2026-08-12T21:02:52.626499Z","title":"The influence of reward on the speed of reinforcement learning: An analysis of shaping","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.626499Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:b5dfea33c69e1dec8cd53bf8bb95659ee7b94ec0669f26fa2a325bcdbd45480f","observation_id":"11f43baa-1a1b-4b36-b71d-2b3d6fc8a0ca","resolution":{"observed_at":"2026-08-12T21:02:52.626499Z","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":"2026-08-12T21:02:52.631111Z","title":"Cqm: Curriculum reinforcement learning with a quantized world model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.631111Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:3086f38602af2b22aa7ec038ea3f65d075326a8603162c215635b6f43225afa6","observation_id":"f97761d2-3605-4767-8659-349bb3ae18ec","resolution":{"observed_at":"2026-08-12T21:02:52.631111Z","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":"2026-08-12T21:02:54.417136Z","title":"Hierarchical bayesian inference in the visual cortex","venue":null,"work_id":"f19cb7b2-42e0-4869-b88a-95c33540ddc6","year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.635589Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:b0ca8692f15ea941edd67fe320476e22abb1b074cbb154eb3db9e0404f50f84f","observation_id":"0d48ec24-c6f4-4711-81b8-ccd02f1ab859","resolution":{"observed_at":"2026-08-12T21:02:54.422497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.396597Z","title":"The neurology of eye movements","venue":null,"work_id":"9e7d6979-a9c4-44cf-a536-0cd92178df84","year":2015},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.640288Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:f3499bde83f987ba08d3a7131ce514f00f9f53bc4e9e00944f1a3bd809225ac7","observation_id":"bc633f43-7e72-4cbc-9cf9-59950314cd99","resolution":{"observed_at":"2026-08-12T21:02:54.402186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.379334Z","title":"Schizophrenia spectrum disorders and eye tracking dysfunction in singleton and multiplex schizophrenia families","venue":null,"work_id":"5d2e731e-1b67-42eb-92b7-61a9a1e8c140","year":2003},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.645360Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:1a9612e8ce44bf5d96776f56f2796010d06f51428d215705120e21e6273f609a","observation_id":"f2f28110-e456-48f7-a7da-e99f06e28d79","resolution":{"observed_at":"2026-08-12T21:02:54.384532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.362681Z","title":"Global and local covert visual attention: Evidence from a bayesian hidden markov model","venue":null,"work_id":"9ed19ecf-e4d1-41b3-8ba8-c5ecee6ab29c","year":2003},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.650279Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:08ca68b4491445f4e18969852ea739eea72fd9e9c8e1ff906698f54d56044be3","observation_id":"9b50341c-ac4c-45d3-acda-adceb86c7cfb","resolution":{"observed_at":"2026-08-12T21:02:54.368178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.345275Z","title":"Evidence accumulation for value computation in the prefrontal cortex during decision making","venue":null,"work_id":"ac8f5e12-a66c-480c-aae3-e7be24675878","year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.654720Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:525f0c86588f10dbe6bf963aa026799b9d482376a61cef91af84ea182b792b2b","observation_id":"d4f62fd0-6e48-4912-aa95-98a092d8c3c8","resolution":{"observed_at":"2026-08-12T21:02:54.350864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.327096Z","title":"Visual guidance of smooth pursuit eye movements","venue":null,"work_id":"d1ea9bb6-44c6-4c5b-a2b5-929878826a98","year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.659627Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:4548332f047c82d65a50f9ddbe8f8eb8fa6a38f566a961d4119b308d3eae8d0d","observation_id":"b9907491-1ed8-496c-97bc-44f234e1d4fe","resolution":{"observed_at":"2026-08-12T21:02:54.332868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.308141Z","title":"The impact of risk and prevalence on foraging behavior in hybrid visual search","venue":null,"work_id":"0de91c5b-7353-4a93-881c-1872fd5ec51a","year":2023},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.664303Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:cf39adc7969b67823e1e8c038d6a3c553c39ecaaa7a33878d8675b9f503d8c80","observation_id":"1a9403eb-aa68-4bcc-b9ae-2eb86281cb7a","resolution":{"observed_at":"2026-08-12T21:02:54.314145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11865","last_updated":"2024-06-18T03:07:37Z","snapshot_observed_at":"2026-08-13T04:58:55.794763Z","submitted_at":"2023-12-19T05:27:16Z","title":"Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11865","snapshot_observed_at":"2026-08-12T21:02:52.669181Z","title":"Large language models play starcraft ii: Benchmarks and a chain of summarization approach","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.669181Z"},"links":{"cited_paper":"/paper/2312.11865","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:0c960c67f97239d04e4d4a117b259ffc12cc120056ea78f84a40e4a1d0f1d946","observation_id":"758b956f-6a4c-4a8c-b006-738579573ac8","resolution":{"observed_at":"2026-08-12T21:02:52.669181Z","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":"2026-08-12T21:02:54.291137Z","title":"Irrelevant reward and selection histories have different influences on task-relevant attentional selection","venue":null,"work_id":"3e5398dc-093a-4c92-9718-28190711668e","year":2015},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.674117Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:2014e357a420cee57911baa8a4933d04084bd05a9f0a1239d829b8135e743ed1","observation_id":"fd8626a5-bd39-44c6-823c-4a4254766ffb","resolution":{"observed_at":"2026-08-12T21:02:54.296582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.272937Z","title":"Resource management with deep reinforcement learning","venue":null,"work_id":"63e98df7-62b9-46ec-8383-689abb988256","year":2016},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.679258Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:2eab6f5e52d3eb9bbfc26ee8de7fb3a7b9da3e8432ad431d946c8ea3c9067f8e","observation_id":"a5066029-d65c-4b78-91e1-39e46d954e91","resolution":{"observed_at":"2026-08-12T21:02:54.278971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.250008Z","title":"Feature-based attention in visual cortex","venue":null,"work_id":"0cfb1bfa-eb65-4319-9ef1-3f77fa76a58d","year":2006},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.684376Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:bbfc9cd46c38f71ee79a6a70a5d309eac3e8df6e79e02b1c8c1623a268419060","observation_id":"9e44dabc-fb56-4faf-8136-c5204483f6ff","resolution":{"observed_at":"2026-08-12T21:02:54.255950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.233669Z","title":"Saccadic eye movements as an index of perceptual decision-making","venue":null,"work_id":"1d35fe0c-e318-4c60-9fb8-26073b45c4ef","year":2009},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.689394Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:bcbf6f0a576e6eb1aceae839cd57bbe0cf38265c180a76ff27162d2e35105f2c","observation_id":"f34a4071-81da-4a12-bc89-01d92a01c719","resolution":{"observed_at":"2026-08-12T21:02:54.238803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.209495Z","title":"There’s waldo! a normalization model of visual search predicts single-trial human fixations in an object search task","venue":null,"work_id":"1642af5c-a39a-45f6-8555-a6e906fe4c33","year":2015},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.694778Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d0ec65c0cebe6945a133938f840877d8897e7ce8cc3289242b1643da552f2d68","observation_id":"6566aa9e-317b-4b11-bc16-b8c25c115a8c","resolution":{"observed_at":"2026-08-12T21:02:54.214532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.194053Z","title":"The roles of the lateral intraparietal area and frontal eye field in guiding eye movements in free viewing search behavior","venue":null,"work_id":"4a321a9a-7c66-4fc6-8a1c-264e3ec054f9","year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.700321Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:3fa6a47562b9f14fb0c80623388cdf1d1de98705d5cc2ffc670169626230ea86","observation_id":"dc35157e-7352-484a-96da-1b245827cc59","resolution":{"observed_at":"2026-08-12T21:02:54.199061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.177946Z","title":"Stopping smooth pursuit","venue":null,"work_id":"90826561-c984-4ad6-9b5c-e0893f970cb9","year":2017},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.705770Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:2ec555b8d4705bafce0f4fcba9686e30a161f2fc0c8409f6bc0b21aedbc7855a","observation_id":"e4113985-546b-4a4a-b597-447838a2bf3e","resolution":{"observed_at":"2026-08-12T21:02:54.182985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-08-14T03:19:40.736445Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-12T21:02:52.711118Z","title":"Playing atari with deep reinforcement learning","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.711118Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d5ea367bc40d73746c4bd71359c90b9b519f19d7b3647fbcb23ab01f29410126","observation_id":"2ffd5432-01db-438a-bda2-dd5858800faf","resolution":{"observed_at":"2026-08-12T21:02:52.711118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.01783","last_updated":"2016-06-16T16:38:45Z","snapshot_observed_at":"2026-08-14T22:11:38.852257Z","submitted_at":"2016-02-04T18:38:41Z","title":"Asynchronous Methods for Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.01783","snapshot_observed_at":"2026-08-12T21:02:52.716505Z","title":"Asynchronous methods for deep reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.716505Z"},"links":{"cited_paper":"/paper/1602.01783","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d596e1a8e22985bc3fb69c0ef27f77b0af6054dd0bee27696b63a05d4c650784","observation_id":"99fea828-7ca7-4e2e-a18b-1250c1e0c188","resolution":{"observed_at":"2026-08-12T21:02:52.716505Z","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":"2026-08-12T21:02:54.161662Z","title":"Recurrent models of visual attention","venue":null,"work_id":"4162c976-427c-4cb8-bd73-c13160d2ab68","year":2014},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.721301Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:c53c7e3be9903f6f49955d51a053dd0bb2753849ea9bb0ad8818823927cce7d1","observation_id":"78895c6d-f62c-4345-afae-9b954af3a888","resolution":{"observed_at":"2026-08-12T21:02:54.167089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.146226Z","title":"Human-level control through deep reinforcement learning","venue":null,"work_id":"bda1526a-92aa-4e00-9a41-759b1418a4a5","year":2015},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.726601Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:87f360e6de591b739f8e8e7328d450625e8d24a1d402e84dc34cba934c82f6f8","observation_id":"32cd4a8a-9a35-4ec2-8bea-4a80a1dd291b","resolution":{"observed_at":"2026-08-12T21:02:54.151311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.129645Z","title":"Gazeformer: Scalable, effective and fast prediction of goal-directed human attention","venue":null,"work_id":"3a34a2f7-45f0-4a72-9664-1c9d1a7173a4","year":2023},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.731653Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:680367d160f6aa7f4f93bb3ead1d6caa0cbe93d16238bc40f450eddccae9deca","observation_id":"04e8a479-2377-4030-90b7-fe21d3c2e8ae","resolution":{"observed_at":"2026-08-12T21:02:54.135942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.113245Z","title":"Does attention increase the value of choice alternatives? Trends in cognitive sciences, 25(4):305–315, 2021","venue":null,"work_id":"0e3f7581-ed50-4812-a1a0-bd33a8770350","year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.736566Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:e13beaa6b1b18fcfe121fcbde6ae8beff1a01c2f1e12c8a39026c28c5f1b914d","observation_id":"beec963b-dd8c-4305-a7c3-cde076ae480d","resolution":{"observed_at":"2026-08-12T21:02:54.118291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.098208Z","title":"Saccade, search and orient–the neural control of saccadic eye movements, 2011","venue":null,"work_id":"f0c4f9a9-5f7c-4617-9924-81e592010269","year":2011},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.741570Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:b5cf34e1440d0ffbc6b4f51737cae01abd39ab3c0effb3abbf534c8ca858084e","observation_id":"ac955dab-45d8-486d-be13-fba37829c1e7","resolution":{"observed_at":"2026-08-12T21:02:54.103064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.082332Z","title":"Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments","venue":null,"work_id":"c33b3644-4013-4d0a-adc3-16447b26c097","year":2021},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.746556Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d2bf75a950f8fde3ddfe00f114e6f191e0309bd4741fb8449dba6a810a6e0786","observation_id":"5529c32b-6944-4a59-af9c-2bf0a12052e6","resolution":{"observed_at":"2026-08-12T21:02:54.087807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.065217Z","title":"Curriculum learning in reinforcement learning","venue":null,"work_id":"3407fea8-42d4-4191-86e6-7fcb5a93daab","year":2017},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.751395Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:8d5295498bfd8a23528315ef014d564a942222c59ee102f201ede71b121dd115","observation_id":"ed176848-7d37-4b17-8fe8-b579837c13f9","resolution":{"observed_at":"2026-08-12T21:02:54.070788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.045870Z","title":"Curriculum learning for reinforcement learning domains: A framework and survey","venue":null,"work_id":"92fdbb3c-c169-4452-9566-de9763a1dbaf","year":2020},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.756197Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:d5592e4df601745dfd8b5cd63f46519fde9a4a308f024ddf631aa6324db29104","observation_id":"099cbf39-fff0-4c04-be4f-2c81df2fbdeb","resolution":{"observed_at":"2026-08-12T21:02:54.052472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03482","last_updated":"2024-07-11T16:00:05Z","snapshot_observed_at":"2026-08-13T00:37:42.558755Z","submitted_at":"2024-04-04T14:35:49Z","title":"AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale","version":2},"cited_work":{"arxiv_id":"2404.03482","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.03482","snapshot_observed_at":"2026-08-12T21:02:53.127874Z","title":"AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale","venue":"cs.CV","work_id":"ce07519a-50d9-49ae-a2fe-62b7e81bfd2c","year":2024},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.761152Z"},"links":{"cited_paper":"/paper/2404.03482","citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:19f4681d4a0a51c50c01bd63d52f89b363f480e600a0fae96aa7179a0a7c989d","observation_id":"3ed00bf2-b5c9-40f8-a444-bd674dc881c7","resolution":{"observed_at":"2026-08-12T21:02:53.134592Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T21:02:54.029092Z","title":"Optimal foraging: L ´evy pattern or process? Journal of the Royal Society Interface , 5(26): 1077–1086, 2008","venue":null,"work_id":"ee9ce47a-8ed0-41ef-8dc2-4515334bcda0","year":2008},"citing_paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging","version":3},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-12T21:02:52.767094Z"},"links":{"citing_paper":"/paper/2411.09176"},"observation_digest":"sha256:52ac44c792db79ad919fdeacca351273dfca584dfc8e5c3888d32102fa28a376","observation_id":"e4cfcd4b-d4ea-48a4-aa43-2700c9fe4c0e","resolution":{"observed_at":"2026-08-12T21:02:54.034459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.09176","last_updated":"2025-03-23T09:34:04Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-14T05:23:28.315154Z","submitted_at":"2024-11-14T04:29:07Z","title":"Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":75,"verified_exact":2,"verified_fuzzy":23},"total_outbound_references":147},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 100 of 147 outbound references and 0 inbound Pith citation observations for arXiv:2411.09176."}