{"as_of":"2026-08-04T15:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f1f65095921dc197cadb02ac8a1566309c6116180b5f2c3c9e0c106784cf8a7","coverage":[{"denominator":121,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T12:23:07.074182Z","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":"2026-08-04T06:34:03.388597+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/2604.14816/citation-record","integrity":"/paper/2604.14816/integrity","json":"/paper/2604.14816/citation-record.json","paper":"/paper/2604.14816"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Context-aware saliency detection for image retargeting us- ing convolutional neural networks.Multimedia Tools and Applications, 80(8):11917–11941","venue":null,"work_id":"363994da-ce55-4da0-acc2-4f6b367e562e","year":2021},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:07df2f959319c98d17f50f9f17e5d923fbf437d483a4b37463f6083fabb42028","observation_id":"a4a96794-c29f-475c-bd60-752ec769732c","resolution":{"observed_at":"2026-05-19T11:03:03.263346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Bridging the gap between saliency prediction and image quality assessment","venue":null,"work_id":"8c2fa0cd-1646-4d09-91e4-de3c6f9abd7f","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:dd2b7016ed4f376b4bde71761198c527d8799cebcdf428165b825ffedf02009e","observation_id":"8c641d04-0f0b-42a0-bcf7-3490a5e34ddd","resolution":{"observed_at":"2026-05-19T11:03:03.199962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NT-HAZE: A Benchmark Dataset for Re- alistic Night-time Image Dehazing","venue":null,"work_id":"b1dbba6c-19d7-4c6e-aea6-6ed1a64525de","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:5e7ceb1ff9423761fca81303143e58e3e6fbee8c2a58eb5ae53c20c63c6f41fd","observation_id":"043ba0a8-a1c0-4295-938b-8b813fa6ccfd","resolution":{"observed_at":"2026-05-19T10:43:03.604499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Nighttime Image De- hazing Challenge Report","venue":null,"work_id":"2059accf-4cbc-4121-814b-20aff848d806","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c598a81cc12af944ac0a90f0c392f919cfbfb8e8aba5fe5d0473489c4d6503d2","observation_id":"3cd8ce7a-ae1d-44bc-ac76-0ad9a79e1ed0","resolution":{"observed_at":"2026-05-19T11:03:03.253202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.09985","last_updated":"2025-06-11T17:57:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T17:57:09Z","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","version":1},"cited_work":{"arxiv_id":"2506.09985","doi":"10.48550/arxiv.2506.09985","metadata_source":"pith","pith_arxiv_id":"2506.09985","snapshot_observed_at":"2026-07-11T02:27:49.493432Z","title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","venue":"cs.AI","work_id":"a9c28401-f16a-4933-89f0-788e2f94e52b","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/2506.09985","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:dc258bd73416e4540ddfb9ffd3325610598321cc9a07d9a2ef4f949fde67eb69","observation_id":"bc09f644-da8c-42d7-86ed-5f21a588671c","resolution":{"observed_at":"2026-05-11T00:33:51.269344Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-03T19:08:37.559938+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T19:08:37.559938+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"What do different evaluation metrics tell us about saliency models?IEEE transactions on pattern analysis and machine intelligence, 41(3):740–757","venue":null,"work_id":"ebea5118-a5f3-43cd-90d4-10395420f083","year":2018},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:2126c3c12689a9b86dd7745d4aca2675fa2a780a9b534850e12a11057c7a24d8","observation_id":"3b72719c-0ecc-4455-84b5-58bd4c22d119","resolution":{"observed_at":"2026-05-19T11:03:03.227879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods","venue":null,"work_id":"0a787ae9-8ec3-4788-b645-e66924d0c97f","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:4576284a5dde363b07fabda38405104abed32e69b3ea4c6568b998d9a153a44a","observation_id":"40a7b5ab-7dd9-4012-a037-3041b688342a","resolution":{"observed_at":"2026-05-19T11:03:03.198322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"PredJSal: Video Saliency via Predictive Self-Supervised Representation","venue":null,"work_id":"799ce1e9-ea9d-4549-a6b4-ce4d5b54c17d","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:92298de2447a3ba242dc48d59b05dbdc90109c3edcdb93f2c70b7e3a44a87740","observation_id":"24ccaeb7-ccb8-49c4-be65-924ce61b98f0","resolution":{"observed_at":"2026-05-19T11:03:03.220207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Saliency-guided video coding via recurrent learning and perceptual qual- ity assessment.Signal Processing: Image Communication, page 117536","venue":null,"work_id":"6b22cf43-2d24-468b-b052-c9a0f13ce69c","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:6e595461bd20201fd382b550b5ece95679c2d6a7624c7056ba5432386718e999","observation_id":"e7ed733e-bede-4a0b-8248-4684fe0123d0","resolution":{"observed_at":"2026-05-19T11:03:03.239091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bf188436-a200-416d-b449-cbd0a6450fd4","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:056462ca997dbca9fdf6d7eb487940cea7cf8ae576fa20c247310e8954fb3e77","observation_id":"0b3f147c-8f0a-4d0f-adb6-c28907d9fec4","resolution":{"observed_at":"2026-05-19T11:03:03.273307Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Explainable saliency: Articulating reasoning with contextual prioritization","venue":null,"work_id":"b531d16f-c2a7-480a-8369-1f3b399da9b9","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:343a956b10a7227f566452f59f2b6e81f3c3d826b59d695a4102dfe26cc62123","observation_id":"16ee72dd-aee6-4178-a7b6-b44ea21624aa","resolution":{"observed_at":"2026-05-19T11:03:03.246474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The Fourth Chal- lenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overview","venue":null,"work_id":"e96d9564-cad8-4a41-9d49-9e25df514273","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:7691722764a455f9fa2443a7437e5d6dafff3ad3c66973490cebebb95cb9a4b8","observation_id":"b23a7738-e9ba-4f0f-9054-43e545945f70","resolution":{"observed_at":"2026-05-19T11:03:03.194719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Low Light Image Enhancement Challenge at NTIRE 2026","venue":null,"work_id":"2cfb87cb-91c5-4815-8c19-7be8fdb6e94a","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:e2a5d13b16d9e24e5a698df93a48732590ebc76338c07f424b79d6afd4cc9725","observation_id":"15aee2aa-3ad9-411f-9847-f34c9f2d0988","resolution":{"observed_at":"2026-05-19T11:03:03.210792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"High FPS Video Frame Inter- polation Challenge at NTIRE 2026","venue":null,"work_id":"4c0e9b01-db4b-483e-a494-eb63df88e397","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d14b1477db5eddaad708e0bfa177cb55f4b17ba56cdfd6f07f0a59cc54f1e27a","observation_id":"1eae2af7-8d9c-4ee6-b7f7-eb52d624fa04","resolution":{"observed_at":"2026-05-19T11:03:03.254786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Spherical vision transformers for audio-visual saliency prediction in 360 videos.IEEE transactions on pattern analysis and ma- chine intelligence","venue":null,"work_id":"9d4f0db8-e583-4c82-b938-418fdbb01c8a","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c72cac7390b329592d5659d0bad1d50562bf151cf5f3cad443aebfaad8433119","observation_id":"d178fa7c-9854-4ded-8322-68c1a612db3f","resolution":{"observed_at":"2026-05-19T10:47:15.786818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"ImageNet: A large-scale hierarchical im- age database","venue":null,"work_id":"02145d77-8e25-4c4c-b3b8-7fe585afda47","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:ce0adab66ac05ed11bad8678aeedff8beb932164121d7be71b13402c5b14d7ba","observation_id":"5a1cb0ed-e170-46ba-a273-575fd85cbea5","resolution":{"observed_at":"2026-05-19T10:43:03.625449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Towards 3d colored mesh saliency: Database and benchmarks.IEEE Transactions on Multimedia, 26:3580– 3591","venue":null,"work_id":"c1acb35b-ec00-4eb4-b919-3188b02252b8","year":2023},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:0e03ea2c6342c8e6cb2d97e1517576635a8ff15ab75e35541c4ecb9e5aa007db","observation_id":"021d7bc1-9169-4c20-9787-36194855c5fb","resolution":{"observed_at":"2026-05-19T10:47:15.788564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Alison Noble","venue":null,"work_id":"0da6765f-1cb9-4c58-a537-763961804f1d","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:ccde0bff8176c1e30b6ba2bb9e212bdf9e2ef245de66dd22f5c03e38ac6c1b76","observation_id":"118610c0-a98c-4fd7-ae4f-ec8a76449798","resolution":{"observed_at":"2026-05-19T10:47:15.783186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Rip Current Detection and Segmentation (RipDet- Seg) Challenge Report","venue":null,"work_id":"3dcc8d9a-2051-4b2d-8b84-bec527d3c4b5","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d061cd2fb72405fdb332e75656e6ff9f64a83b932e3f063d4e44edc082d11182","observation_id":"8397fe1b-0aaf-4efe-93ca-0c0b0e2e61a8","resolution":{"observed_at":"2026-05-19T10:47:15.777787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al","venue":null,"work_id":"95e94b65-fe86-4f1d-aad4-b4e3b2f47695","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:b7d5b49e19f4c60fe06490ba337e9f134553d1e31de89cf07297a36824202cbc","observation_id":"306e3a85-b9d0-4f53-8777-fc11f7167315","resolution":{"observed_at":"2026-05-19T10:47:15.781536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Saliency detection in the compressed domain for adap- tive image retargeting.IEEE Transactions on Image Pro- cessing, 21(9):3888–3901","venue":null,"work_id":"9b03d5bf-e01c-469c-957e-86afcfed54c5","year":2012},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c9a71f8c5ae1e56bcf6930de5f77e6213d172fcd82c2ad0671f59573a16d8fc8","observation_id":"4239cab8-9c57-43b6-b5d3-1ee41618d27a","resolution":{"observed_at":"2026-05-19T10:47:15.784935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Finevideo.https:// huggingface","venue":null,"work_id":"1ea84f1a-98e1-4f3e-b41d-c1cecbe4b6bf","year":2024},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:6bd77fd15cbb5ed8a0ab194d095f37307cd966fb481250d55ecc7eed7e7254e2","observation_id":"dc1a50c2-d734-4d44-a82f-349d94e63377","resolution":{"observed_at":"2026-05-19T10:47:15.790134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11831","last_updated":"2025-02-17T14:27:14Z","snapshot_observed_at":"2026-08-04T07:30:58.893758Z","submitted_at":"2025-02-17T14:27:14Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos","version":1},"cited_work":{"arxiv_id":"2502.11831","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.11831","snapshot_observed_at":"2026-07-04T15:49:58.028816Z","title":"Intuitive physics understanding emerges from self-supervised pretraining on natural videos.arXiv preprint arXiv:2502.11831","venue":null,"work_id":"e57b6325-f361-44d2-86e0-dcb7cf4e46dd","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/2502.11831","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:6af3680dbbf86960d315cd73b0f60a631203774853130bb5a97361a016b410ae","observation_id":"c623550b-cbb5-4b8a-9af0-7f45508a71a9","resolution":{"observed_at":"2026-05-10T12:25:22.549149Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Semiautomatic visual- attention modeling and its application to video compres- sion","venue":null,"work_id":"b83806fa-4f63-4175-b7b1-de29b04302bf","year":2014},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:a8c8fa95f123c9416c9d02e1fc33019623256af3e874534ce2c88791ad80d6d7","observation_id":"e2930cb1-f2b3-42b4-a724-6760e8b50246","resolution":{"observed_at":"2026-05-19T10:47:15.799104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":"2312.00752","doi":"10.48550/arxiv.2312.00752","metadata_source":"pith","pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-07-10T20:07:33.480124Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","venue":"cs.LG","work_id":"4ee75248-1199-492c-a52f-6661e0f4adff","year":2023},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:3ccbe45d278621676b04028891c1034248eef5d078b8b5a115b55edebcedff36","observation_id":"acd037ee-2968-4389-b5fa-a16c4d44b572","resolution":{"observed_at":"2026-05-10T12:25:22.551338Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-30T19:25:31.081761+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-30T19:25:31.081761+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on End-to-End Financial Receipt Restoration and Reasoning from Degraded Images: Datasets, Methods and Results","venue":null,"work_id":"10b1da0c-3807-4353-979f-c2ffaa98554f","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:71ca3a3819ae1e6a2b75906eae9102357b62858639fd2fb284bb6c726ea4656c","observation_id":"e4725b08-6cf5-4732-971b-ff1a835a0ec6","resolution":{"observed_at":"2026-05-19T10:47:15.764596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)","venue":null,"work_id":"8a9a3cb1-619c-40cd-ae88-c94ff661ccf0","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:fc03d738f490d09654097aab1807949f014a72707f9cf6ce9aa3f0110cc9cde2","observation_id":"7ce0d12d-865c-40e2-94b1-e408c5688858","resolution":{"observed_at":"2026-05-19T10:47:15.760877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform","venue":null,"work_id":"a1312ea1-693b-4d12-89ff-3c64545c193f","year":2008},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c196407a3a5d330c7602ae820d52330808fc163b36740479b178a43537150318","observation_id":"5a989f93-5f6b-4aca-b4df-01e155ec01f5","resolution":{"observed_at":"2026-05-19T10:47:15.762686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Irnet-rs: image retargeting network via relative saliency","venue":null,"work_id":"e75793b1-5537-40b1-9210-acc343a0e84c","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:9b19298d2790bf9978ba5bccd7acf21cfd44fcd6dbac435bd090622396075050","observation_id":"478fbdab-1181-45e0-af37-7439cff7d463","resolution":{"observed_at":"2026-05-19T10:47:15.766458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on Robust AI- Generated Image Detection in the Wild","venue":null,"work_id":"3dda4cc9-6c7a-4819-90fd-a4fda6fc943c","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:8205e3bd118c0c5a730406b040ee11fa8f9d1fec65a265a83e9a09e7743982d4","observation_id":"739addb1-d33a-4bda-b996-faf8c748d1a8","resolution":{"observed_at":"2026-05-19T10:47:15.768391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Saliency-aware video compression.IEEE Transactions on Image Processing, 23 (1):19–33","venue":null,"work_id":"8b129c8f-0518-4263-89cf-7678e700c555","year":2013},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:6f277d19ff50e7279935256adbe714aac297d2219c5aaeab0b1948ab62a84666","observation_id":"7cca83ac-325e-475c-90df-4faad31ea334","resolution":{"observed_at":"2026-05-19T10:47:15.772218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Graph- based visual saliency.Advances in neural information pro- cessing systems, 19","venue":null,"work_id":"f3b273de-b039-4d21-8c28-56d2cd6734c0","year":2006},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:bbed5ce2ec91edd4bc26bfabce611baf498e801cfce60c112988bdca9ca156f2","observation_id":"e6443c31-ba62-4a02-90b6-2a377eae11ca","resolution":{"observed_at":"2026-05-19T10:47:15.755549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"6da6805c-615f-4f89-b266-573626a4e20f","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c636df5c4e6f0f818740092f138f2cf3596aaee9651cad0bfe1f65fa63e0c884","observation_id":"43ed811c-b0ac-4ba0-b374-94fb0d241bd6","resolution":{"observed_at":"2026-05-19T10:47:15.757341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Robust Deepfake De- tection, NTIRE 2026 Challenge: Report","venue":null,"work_id":"e4119ffe-32d4-4a3c-8721-45b3892b4bbe","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:8092f1395d022004a8de47fd085a9a510e209fd59f5cedf0d0b903ef81f2609d","observation_id":"41fb1a0f-ac42-4b2b-8a9f-4fb5f86b252a","resolution":{"observed_at":"2026-05-19T10:47:15.751706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"d367e814-5f67-49a5-b5a0-9ee4d1ffb3f4","year":2022},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:4323ed8b08c577c36ddd5c1452ede5848825bc90e34a4dae2c06ac837007b6b1","observation_id":"29e0e684-d8db-46e3-a110-27515b6120b9","resolution":{"observed_at":"2026-05-19T10:47:15.779682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A model of saliency-based visual attention for rapid scene analysis","venue":null,"work_id":"edd91306-02c7-41e2-bf9c-2c7dd64d0e2c","year":1998},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d5fa3ea279973970f9518b826aaf74090c32d732f30de0624be8526a9c01423f","observation_id":"b202a475-0960-48ad-8672-0731a6d1ad49","resolution":{"observed_at":"2026-05-19T10:47:15.749727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Vinet: Pushing the limits of visual modality for audio-visual saliency prediction","venue":null,"work_id":"7e0384f9-159d-460d-8040-f2c923b65c7f","year":2021},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:ebaf779cec1a2b69fb85e0628dcb60f0199f70b50b2a623648c3376e539448cf","observation_id":"b1afb0d6-a3ea-4d4f-ac5a-1a112e8ba8bd","resolution":{"observed_at":"2026-05-19T10:47:15.753722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Salicon: Saliency in context","venue":null,"work_id":"8032cb18-638c-4cb3-9a0b-2da7763bc356","year":2015},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:e9413f1d527b55d72fc325102cf15a93676fb8071f0cac4516f23e6149345180","observation_id":"73ef0d6f-cfe5-483d-bf73-b2ad8a456efb","resolution":{"observed_at":"2026-05-19T10:47:15.759003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Diffgaze: A diffusion model for modelling fine-grained human gaze behaviour on 360 images.ACM Transactions on Interactive Intelligent Systems, 16(1):1–23","venue":null,"work_id":"092814e7-b244-4103-bfc5-22cef3d74cb1","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:b7bd207745635e6712f8d9d094ac1985c53a06b08a20c6b0a7fbf4505fcec44b","observation_id":"dc96e833-44d9-4b1d-bd84-4e10c2830475","resolution":{"observed_at":"2026-05-19T10:47:15.770411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learning to predict where humans look","venue":null,"work_id":"451ede8f-d8de-49d3-bb77-399e91e14fba","year":2009},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:73277b2f202b643777abae4ff6eb9a0b6ae43d73e8fa960226e3b27140acc7f0","observation_id":"47210843-8c00-4189-8ba5-c6352d37384f","resolution":{"observed_at":"2026-05-19T10:47:15.795458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.06950","last_updated":"2017-05-19T12:07:01Z","snapshot_observed_at":"2026-07-06T05:43:22.028213Z","submitted_at":"2017-05-19T12:07:01Z","title":"The Kinetics Human Action Video Dataset","version":1},"cited_work":{"arxiv_id":"1705.06950","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.06950","snapshot_observed_at":"2026-07-09T11:16:11.423695Z","title":"The Kinetics Human Action Video Dataset","venue":"cs.CV","work_id":"c8a3de61-cfd3-4aeb-bcf7-a0372c015748","year":2017},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/1705.06950","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:765ce5472dd05c82df38ef7de62100d8ce15c3dbae5f66f038361de369d0ef19","observation_id":"ebcd0cad-b66d-4da3-a460-b64d7c83b1ab","resolution":{"observed_at":"2026-05-11T03:13:45.682066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge","venue":null,"work_id":"519c93d3-1465-41aa-a7f8-4f70a17250c5","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:678bae73b66cedcbf0a27d74f4e11ea0f4e7be7d141fcbf5a1d54b6ca6d47133","observation_id":"49e2584b-d67e-4cb0-a4a4-64422c3ae4b4","resolution":{"observed_at":"2026-05-19T10:47:15.741844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Bubbleview: an interface for crowd- sourcing image importance maps and tracking visual atten- tion.ACM Transactions on Computer-Human Interaction (TOCHI), 24(5):1–40","venue":null,"work_id":"2427325e-d665-4350-9a2f-c02350dd8856","year":2017},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:443e498f72d42c1d5f98271bb3941cde13201af98174f77b9fc61c83e3054688","observation_id":"4529a3a4-a9ba-4d9f-8e3e-a972359d1129","resolution":{"observed_at":"2026-05-19T10:47:15.730193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Contextual encoder–decoder network for visual saliency prediction.Neural Networks, 129:261–270","venue":null,"work_id":"059b91e7-ba14-4bce-9710-ae7c75a9da83","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:cd9041f40c740c0338bab4b9669def9113c36b662ebf7b9570500dccf5fe65a3","observation_id":"0b452f49-f810-46d4-8ac5-965a88ad8d27","resolution":{"observed_at":"2026-05-19T10:47:15.732098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Saliency detection for large-scale mesh decimation.Computers & Graphics, 111:63–76","venue":null,"work_id":"24018e3e-8cfb-4194-b058-c57b797e652c","year":2023},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:05d6dedf18c212f34ce08fd1f0d5be98fcc1efa606a731480aa92f238914fdf2","observation_id":"87d6d7a8-b3f4-4695-a5ff-207fc8bfdc7b","resolution":{"observed_at":"2026-05-19T10:47:15.726471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"76c25700-c1db-49a5-bab8-5afd11f215e8","year":2005},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c3df56f25cf74d553370906c61eae4781fef837624c66a9f187589e7ca37df11","observation_id":"ceec7b7a-db58-4419-9569-863816e0c922","resolution":{"observed_at":"2026-05-19T10:47:15.807828Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The First Challenge on Mobile Real- World Image Super-Resolution at NTIRE 2026: Bench- mark Results and Method Overview","venue":null,"work_id":"0f470973-a371-4cf7-b0e2-2931d217b091","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d887e7970d8872ede01b3ca589e76f0e4cc402c39c81fa096fc135dde086a063","observation_id":"994e525a-83fc-4b8e-a7bd-d1d51ec5bcca","resolution":{"observed_at":"2026-05-19T10:47:15.724585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Mod- els: Datasets, Methods and Results","venue":null,"work_id":"a0b17679-5c57-4fd2-b158-2f67ea63fdf3","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:dd53b990b27174fb2090540866382ef8097d294bc8a21444c56310d02cf2690a","observation_id":"c8a3711a-9736-4346-b7a2-2a367dff0779","resolution":{"observed_at":"2026-05-19T10:47:15.728388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual- Focused Images: Methods and Results","venue":null,"work_id":"c7015f60-db8a-4504-9153-d25e015a6af5","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:6b0d2ca2df959c47ff2a5ed8125fe78f30a838c6a70fa75e10a2f7426a524cee","observation_id":"60af59a8-4552-4a4b-ae43-be5243f78aa3","resolution":{"observed_at":"2026-05-19T10:47:15.734096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9d6cfe02-6a35-4664-9887-67a46dcfc9c7","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:b545afdbb4e77c302e03bf8f0f8108ae14efb2e7e669abbaf8bdf61325ec7680","observation_id":"cd6e5a22-5c5d-4524-8d2a-bb731d83baed","resolution":{"observed_at":"2026-05-19T10:47:15.737741Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview","venue":null,"work_id":"dc630b5c-caae-4958-ba0a-18b70f23a164","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:33e02a8dbf9666c2f43a5ba4a1d6f8b62b021469144e2c3f50ad7f2aff6304d4","observation_id":"7d6387eb-1f28-46ca-8982-917d9b675f83","resolution":{"observed_at":"2026-05-19T10:47:15.717467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Conde, et al","venue":null,"work_id":"26e24f5f-a25d-453e-88d2-6603fc82dbe8","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:2e7cf1dbee45180cd7388e6383bd3996dc81d4d9f90de36dfa9eec859aef9adf","observation_id":"9799114a-0fc4-4364-bc89-265e1ba13806","resolution":{"observed_at":"2026-05-19T10:47:15.719505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 X- AIGC Quality Assessment Challenge: Methods and Results","venue":null,"work_id":"8f4c683a-d161-43d3-8d53-0dc06ae7e1f2","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:ee25b4d3009f1814273fe1ce7fc1c25ce23803304e106876e67aa73b0a5839e3","observation_id":"b25455a2-2f18-4483-b1d6-b06376b48b8e","resolution":{"observed_at":"2026-05-19T10:47:15.715378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Vmamba: Visual state space model","venue":null,"work_id":"142ac9bc-3cb9-4368-9966-740c7e48c6bf","year":2024},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d4dd9865a54b9bc22727511e6a214d173b5cf01994b4c7a51d621021fceb142a","observation_id":"3a226a2d-e239-4d60-bb55-fd4a1e1087ca","resolution":{"observed_at":"2026-05-19T10:47:15.721166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A convnet for the 2020s","venue":null,"work_id":"04308642-7c82-4a9c-b310-3727cf75d328","year":2022},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:76015b0a37747a1a30d549460aeed07c7c13784ef8339c3fc33e4968042e9413","observation_id":"aacfb973-84d2-41bf-afe9-a4abcfba6b83","resolution":{"observed_at":"2026-05-19T10:47:15.800656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Video swin transformer","venue":null,"work_id":"0533c962-df56-47de-97a3-0a450458e453","year":2022},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:10def71ae327fe31f9024584712c6810795f5446521d968e18e266e461616de2","observation_id":"e6e1bf9d-a094-440d-964a-3b56be650c0e","resolution":{"observed_at":"2026-05-19T10:47:15.722773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Transalnet: Towards perceptually relevant visual saliency prediction.Neurocomputing, 494:455–467","venue":null,"work_id":"40464049-eac2-41c1-a8d5-ae2284c7fa62","year":null},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:ee4406a88e8e4fa42fe2204a08a7b4f66758e3ad32e95cc1a324e875a6bc8092","observation_id":"f60b3cd4-f09d-4706-a6af-3bcd77389c7c","resolution":{"observed_at":"2026-05-19T10:47:15.793667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Predicting video saliency using crowdsourced mouse-tracking data","venue":null,"work_id":"dc1e6e82-1b07-4e4f-850d-48b6dfc23368","year":2019},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:a571ab926a3d28b623614129f3f0f25577d017162490d7a97eaba6d38de31507","observation_id":"449f083c-dcd6-40f1-9ce0-fa8bc820bcba","resolution":{"observed_at":"2026-05-19T10:47:15.797284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A semiautomatic saliency model and its application to video compression","venue":null,"work_id":"d1389657-37a6-43c7-b091-08cbc2ed40f2","year":2017},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:4a931cbda8b640d85abe4058aa9446c81a22ef07d55b5a5d54269a37bc67fe80","observation_id":"a4557f29-9b0a-4f35-9a84-59d39d2d811c","resolution":{"observed_at":"2026-05-19T10:47:15.813165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Spatiotemporal saliency in dynamic scenes.IEEE transactions on pattern analysis and machine intelligence, 32(1):171–177","venue":null,"work_id":"b49c8c56-e547-4396-a482-02d4cc7bfd3d","year":2009},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:052cd35ca7f660971b882a9b1c193d9bb8eee03b7bb2aa9af33eb00eda45e342","observation_id":"acf9ea58-d02d-46d0-b838-1e94abd3ec11","resolution":{"observed_at":"2026-05-19T10:47:15.815486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Mod- elling spatio-temporal saliency to predict gaze direction for short videos.International journal of computer vision, 82 (3):231–243","venue":null,"work_id":"2c1c1a2f-d574-4944-a32f-1b63d3bb5205","year":2009},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:e02ad94db6b7b6404655a0cd50b268cc91282165a444a9e7a5e3e5a7c1995887","observation_id":"8f1db39b-788d-4421-8827-30a13c1a3e64","resolution":{"observed_at":"2026-05-19T10:47:15.802697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sal3d: a model for saliency prediction in 3d meshes","venue":null,"work_id":"545d03c1-d9f5-4f65-a7eb-fb7cd64079a9","year":2024},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:f201cb1b22fbb34c6d6e15ece11e6c5c1b9f1355f253be1219c4b7d84f59f47e","observation_id":"8c5016e7-14b2-4011-839a-d94862b53e1c","resolution":{"observed_at":"2026-05-19T10:47:15.804357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition.IEEE transactions on pattern analysis and machine intelligence, 37(7):1408–1424","venue":null,"work_id":"759ecc40-b224-4673-a173-5e7f7c5b469d","year":2014},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:863349227d91fc39a4d0259d9d99fcfce20751b470bf663e63fe240d09b67bcc","observation_id":"3f6dabb3-0cc6-4526-a4b5-7b9de3e7e633","resolution":{"observed_at":"2026-05-19T10:47:15.791934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Realistic saliency guided image enhancement","venue":null,"work_id":"dbbddaa0-71be-4f94-9c18-fdfc90ee3087","year":2023},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:aa3e50874b6d53d19183ce657bd08f55b91a54fab02b45f026b2af9a242dd7aa","observation_id":"399d1da7-325d-4ab1-8dc8-3cd473cbf592","resolution":{"observed_at":"2026-05-19T10:47:15.806267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sal- fom: Dynamic saliency prediction with video foundation models","venue":null,"work_id":"826b99eb-e327-4b2a-b6d3-384256baebe0","year":2024},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:ac14cc5a49fe5a438972f3b65ba3fa9350626735a6f688ad0966009283bd3a36","observation_id":"d979122b-a385-4a88-b0a9-82cc6ee315c4","resolution":{"observed_at":"2026-05-19T10:47:15.774082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Aim 2024 challenge on video saliency prediction: Methods and results","venue":null,"work_id":"63ff481e-e4dc-4c1c-b2fd-3a7c7fa99212","year":2024},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:4f13eac37edb88ead0ce7e96e0fc5eb0c6bbe1e0acc2cd1fd46ea68a57d8bb5c","observation_id":"d1e3fd75-52be-4986-8fd3-c340027215b4","resolution":{"observed_at":"2026-05-19T10:47:15.775781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","venue":null,"work_id":"106bd1c7-dae0-40d4-8a30-efcbf700dfc3","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:7cca84e2d89b7bb0b5bfedf3db1a8c79d34cfb6fb9e8865e01340af8c0666200","observation_id":"48eb07db-02ff-4c67-907c-ac67372d1018","resolution":{"observed_at":"2026-05-19T10:47:15.809688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Deep saliency mapping for 3d meshes and applications.ACM Transactions on Multime- dia Computing, Communications and Applications, 19(2): 1–22","venue":null,"work_id":"a1c4c69c-f7d1-4069-8055-5ad0a9273999","year":2023},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:7616887b9c0e9996fc8b52d5f5e4824e828433ec8c1198109c34bb7a6404eb3a","observation_id":"040e1d0a-79d0-4050-8791-b1c435d6e456","resolution":{"observed_at":"2026-05-19T10:47:15.736057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results","venue":null,"work_id":"b8660b98-db0a-46f5-b2a6-3a64acda9277","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:7d9d7c20241fa56919e5d8618c5096aa8ed5f25156718f1a776abb3fea960110","observation_id":"b9b4b84e-f9ac-43cf-8bab-22e107a9e081","resolution":{"observed_at":"2026-05-19T10:47:15.739769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Saliency driven perceptual image compression","venue":null,"work_id":"46dad25b-0cc4-4fd7-95b1-b3147f69424c","year":2021},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:f688a4062ea3adc030d28b0d20fc17f63d773ddd7a8976a7d7bfbbb042ab06ab","observation_id":"a1743473-0647-47ff-a6a5-5f7836a6bb10","resolution":{"observed_at":"2026-05-19T10:47:15.743702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on Learned Smartphone ISP with Unpaired Data: Methods and Results","venue":null,"work_id":"eaa8a622-d6d4-4b27-a49b-58459e9c9ead","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:75de2743e48413eccbbad52f02e9f1e14d25184bddf7e963056391b08276aee3","observation_id":"fd5a4729-b378-4fbc-9760-f23fba5b29e1","resolution":{"observed_at":"2026-05-19T10:47:15.745553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Film: Visual reasoning with a general conditioning layer","venue":null,"work_id":"e2d68224-7c91-4c25-a03f-1dc0b5547163","year":2018},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:797b0df5da7742e00dd34c85f17d1ea0bfe965efb62a74c953597bad0e2d7da2","observation_id":"be2c6448-e3e4-4643-8ba0-21c134ff0155","resolution":{"observed_at":"2026-05-19T10:47:15.747597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Chal- lenge: Professional Image Quality Assessment (Track 1)","venue":null,"work_id":"e838d567-e010-42da-b3b8-6d66f57913a7","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:e02401346b0602976d527d10932ccf055d80116f49d6b9727aa676d6fd575e82","observation_id":"fc82815d-1071-4451-a7f1-bcf9b1b202fe","resolution":{"observed_at":"2026-05-19T10:47:15.811518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results","venue":null,"work_id":"681ecf5e-31cd-4e5d-ab7a-660cc97029bb","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:cc2e41853dc3055d7f34f41ef52c29cda28acb17b48bb7717a66a75a93c2eade","observation_id":"97738724-cf5f-4294-96d9-f372b0066e85","resolution":{"observed_at":"2026-05-19T10:47:15.817248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track2)","venue":null,"work_id":"3857654c-f7ec-481e-9491-8f24dbf12807","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:670d57c84afc789f50e142d1b12df4aa46320c359d99a6177ba020cbcb478e1b","observation_id":"02c97d45-2f5b-4225-98e5-8d800e8ca233","resolution":{"observed_at":"2026-05-19T10:47:15.819003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Kvq: boosting video quality assessment via saliency-guided local perception","venue":null,"work_id":"f5e7694c-de3c-4525-ac00-b4e2851b8926","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d19d22dc76cd6b64d3669d34ca007595c5af28a1fd73f66b28f6b6b94483d82a","observation_id":"cd429f20-23ac-47d3-939b-6b1cf347d305","resolution":{"observed_at":"2026-05-19T10:57:19.120335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"2674d481-c2d9-416f-83e5-683304988002","year":2021},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:9bc026fad0331e31b2c6a09179de3a8d43150a283bcc09889b93be716327653d","observation_id":"ae115f98-3dbf-4672-b28c-cc5319ec062f","resolution":{"observed_at":"2026-05-19T10:57:19.105679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Predictive coding in the visual cortex: a functional interpretation of some extra- classical receptive-field effects.Nature neuroscience, 2(1): 79–87","venue":null,"work_id":"f0f0478d-4313-4415-a944-7e668b704932","year":1999},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:1c86ebaf2d176dcb441d4094db49a6b8ba4774cc8c1d80f490b0ddeb3d90fe6e","observation_id":"2cd626f1-d7c6-4324-a5a9-6b95e27de32b","resolution":{"observed_at":"2026-05-19T10:57:19.109461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":"60e32499-0ea6-424e-a38e-d9e257cd44d5","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d2bf3f5dae1a0d0c2ce0e2e3140e42617aba4cfe3ee59db48eca8524a273df48","observation_id":"01abbd20-5dc8-4ea1-b4b5-e93b96398b58","resolution":{"observed_at":"2026-05-19T10:57:19.102579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The Eleventh NTIRE 2026 Efficient Super- Resolution Challenge Report","venue":null,"work_id":"bfddd9a7-b2a4-48a6-88cf-662d8c6b86b7","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:a63885041288c84774083cb80a347e5383d601b1c7a071713f234b2df207d4a4","observation_id":"ab9f593e-e802-413c-9265-6e78eb08c736","resolution":{"observed_at":"2026-05-19T10:57:19.115108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"216c4343-88d4-4672-b99a-efa1ceacac57","year":2022},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:88a8955837e27443ed46dde09dda358af52d27919e0bb0b86e3ba8040e0de5cb","observation_id":"b578619e-8c5f-43bd-afa8-d042c61f99fc","resolution":{"observed_at":"2026-05-19T10:57:19.117361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Hiera: A hierarchical vision trans- former without the bells-and-whistles","venue":null,"work_id":"48d69d57-f473-4d5e-9567-45061ce21dc5","year":2023},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:c63159096f29ee64ece27680e324080afbcc81aa1816a4ed4558827c3691ffde","observation_id":"b346ad8d-bcc4-4be2-a593-af7b938ae936","resolution":{"observed_at":"2026-05-19T10:57:19.123430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Ntire 2025 challenge on ugc video enhancement: Methods and results","venue":null,"work_id":"76b42520-c14e-4aba-9030-b7db6fda801e","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:266f212d49e836cd9d1c42b0001eb4b5fa7ee74ed837b9df3c751235fcbc9fe6","observation_id":"1c4c8153-5090-4f59-8cb4-1537f5d721ed","resolution":{"observed_at":"2026-05-19T11:03:03.258321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al","venue":null,"work_id":"8532f23b-38f2-48c9-83ef-f8b2ff1827ac","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:1580afcc2077cc216a81d1ff4d803625f75ba88ffd6935e0d1deb2db2bebb574","observation_id":"733fe501-ca73-4f18-aebf-72735accfdfb","resolution":{"observed_at":"2026-05-19T11:03:03.244625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Payne, Bryan Tripp, Ker- stin Dautenhahn, and Chrystopher L","venue":null,"work_id":"cd588b7b-10ba-4d31-98ec-5092624eac58","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:61ff0ac8b3665938b22ffe5639952dd800d1774c239483de427df7a1b3f6acb4","observation_id":"c8515a3c-3f54-49de-9ff9-abae2913f26f","resolution":{"observed_at":"2026-05-19T11:03:03.236739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10104","last_updated":"2025-08-13T18:00:55Z","snapshot_observed_at":"2026-07-06T22:12:35.584339Z","submitted_at":"2025-08-13T18:00:55Z","title":"DINOv3","version":1},"cited_work":{"arxiv_id":"2508.10104","doi":"10.1055/a-2487-1252","metadata_source":"pith","pith_arxiv_id":"2508.10104","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DINOv3","venue":"cs.CV","work_id":"c8b07deb-8fe7-4e18-9620-f3569d3529ce","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/2508.10104","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:efce5c6f9a322c187f00a9db036ebef1abd14193b7ae5a17edc2e8b2374953b6","observation_id":"2479dafa-334f-4978-b7c0-5dbca9ade499","resolution":{"observed_at":"2026-05-10T12:25:22.541065Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Spratling","venue":null,"work_id":"85580217-694d-4231-ae11-64eb82d148c8","year":2012},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:fbed24f71d2574034ba52ec5954342fcb77d11b6e127ba4f177bc00cd1183641","observation_id":"3a69bc92-8362-41fc-9950-71f6cecdffe0","resolution":{"observed_at":"2026-05-19T11:03:03.271435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results","venue":null,"work_id":"f528cc95-8ea8-4520-b985-43b74c67f087","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d54c6fa37a38bed9b9dec8da8b9d1aabec38be2662a8487315563dddb91e2959","observation_id":"e43cfa37-bb6c-4c73-a4f2-e0328dc54f50","resolution":{"observed_at":"2026-05-19T11:03:03.233559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The Second Challenge on Event-Based Image Deblurring at NTIRE 2026: Methods and Results","venue":null,"work_id":"a27a9491-64b7-476e-b9ac-d46a66bd1e52","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:5a019dd9a3ba0c97174fb02fd5acb2d55b51cf7f369d41195c68b2742088ffcd","observation_id":"c93491af-0cb0-46f1-9f0a-d9d3b65b8db9","resolution":{"observed_at":"2026-05-19T11:03:03.213487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 The First Challenge on Blind Computational Aberration Correction: Methods and Results","venue":null,"work_id":"9f6ee62d-6e1b-4773-8cd4-f09948bb5c40","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:446484e10575582edf9890557f12c110cfce1505e326e018855109ca9e26283d","observation_id":"6710c0f0-0f5d-440e-aa3f-9b7ede564db3","resolution":{"observed_at":"2026-05-19T11:03:03.242950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Cardiff: Video salient object ranking chain of thought reasoning for saliency prediction with diffusion","venue":null,"work_id":"d6740c23-e4e5-4c53-8f01-9a5388a174fe","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:1f8723b8850642c09c07b067ecd36c01b2a43a9f6eebefc3ebca6727429f6e3c","observation_id":"c4594d4c-8d51-4142-ab1a-bae78a06dd65","resolution":{"observed_at":"2026-05-19T11:03:03.263025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Saliency revisited: Analysis of mouse move- ments versus fixations","venue":null,"work_id":"123c6e8c-e897-4ad7-b16b-2b544f28478f","year":2017},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:991a92edc326797b28a6a31156cb6c58550d13447a04fc2a5d7d4dfd27f0e43c","observation_id":"82351855-d605-4cf4-8c2f-49f0e21db5c0","resolution":{"observed_at":"2026-05-19T11:03:03.207472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10693","last_updated":"2020-01-07T21:52:07Z","snapshot_observed_at":"2026-07-06T07:55:31.883550Z","submitted_at":"2019-05-25T23:16:57Z","title":"DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction","version":2},"cited_work":{"arxiv_id":"1905.10693","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1905.10693","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dave: A deep audio-visual embedding for dynamic saliency prediction.arXiv preprint arXiv:1905.10693","venue":null,"work_id":"ba2ca8b6-dd03-47eb-894a-a2bf0191a328","year":1905},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"cited_paper":"/paper/1905.10693","citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:39866e41a252f590c62fcc917571204ce80352caa506702cac8d1e8ab0d28caf","observation_id":"96b23776-ec5a-4d74-92ab-5eba18e3de3d","resolution":{"observed_at":"2026-05-10T12:25:22.543729Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A closer look at spatiotem- poral convolutions for action recognition","venue":null,"work_id":"f7922f87-1129-4241-8645-8118c5b52a29","year":2018},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:3d796057e519f091d2d9b5df470a6396e5ded3552611d351ee9c0d3dab5b05cc","observation_id":"5cc140c4-72cd-4fa1-9958-141cc280c145","resolution":{"observed_at":"2026-05-19T11:03:03.259641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learning-Based Ambient Lighting Normalization: NTIRE 2026 Challenge Results and Findings","venue":null,"work_id":"0bf88e98-3692-4911-9d9d-9fd63669ad35","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:270c9f6771124c21183fcb8c4d0d25d088e2950ca4645570ab0a8d66330fbe02","observation_id":"ece708bf-43fa-4db3-be44-c4ef5cca5fcf","resolution":{"observed_at":"2026-05-19T11:03:03.251455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Advances in Single- Image Shadow Removal: Results from the NTIRE 2026 Challenge","venue":null,"work_id":"34fb07c3-943d-424a-b6c4-3200123fe102","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:729cf8696c4cd082e2d76c7d6187c2585465a1e88fd6f9826e597843156d3a38","observation_id":"fe1cf877-c83c-402e-86b2-697773fd89d6","resolution":{"observed_at":"2026-05-19T11:03:03.237104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Enhancement of 360° video stream- ing through saliency-guided viewport prediction","venue":null,"work_id":"d8963e58-7ed9-4644-8fdb-aa4066acf776","year":2025},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:d48fdefb0d960076435ae55921230a67cf9982edc8c69ed8b3a7d14537d8a62e","observation_id":"4b9d77be-a3d0-4d1f-bdfb-9dfabe26c2f5","resolution":{"observed_at":"2026-05-19T11:03:03.266617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results","venue":null,"work_id":"386362cd-d7e6-4b83-94c5-9c1e313b4db5","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:eda9f20cdf9c3602d54608cb5d2f570d9abc0a713aa0ead2f6cae9f315b5a149","observation_id":"ff3b57d8-f48c-49ff-ad13-013b8e1eeab5","resolution":{"observed_at":"2026-05-19T10:57:19.126978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","venue":null,"work_id":"360051d6-c496-43ef-8bc2-e649b11afb0c","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:82f7c8f411e21eb5d8675d28fbbd9a06bbed20a2ea6ce211f4959cec5015c1f3","observation_id":"5bb192c5-719c-41d6-ad61-83c603927ef1","resolution":{"observed_at":"2026-05-19T10:57:19.129390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"NTIRE 2026 Challenge on 3D Content Super-Resolution: Methods and Results","venue":null,"work_id":"94f4bee2-21e9-4b6d-b710-d746683fd455","year":2026},"citing_paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-05-10T12:23:07.074182Z"},"links":{"citing_paper":"/paper/2604.14816"},"observation_digest":"sha256:9d83ea80761c1069e9f9ee1412be3417d64cdeb684a626f81e258472e93cc9a4","observation_id":"291d6e1d-bf48-4192-8306-6522b48f74d4","resolution":{"observed_at":"2026-05-19T11:03:03.249882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.14816","last_updated":"2026-04-16T09:36:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T04:36:59.454952Z","submitted_at":"2026-04-16T09:36:58Z","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":5,"verified_fuzzy":91},"total_outbound_references":121},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 0 inbound Pith citation observations for arXiv:2604.14816."}