{"as_of":"2026-08-13T21:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:971fd195be8fd7e969c9209a92e940d01bbec619d2c7994a14608ee0eccd7586","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:16:02.301631Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.07079/citation-record","integrity":"/paper/2412.07079/integrity","json":"/paper/2412.07079/citation-record.json","paper":"/paper/2412.07079"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.126782Z","title":"6-DoF image local- ization from massive geo-tagged reference images,","venue":null,"work_id":"c6df4d2a-36f4-460e-a807-64f1e22ea31a","year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.376999Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:4829a99fc50698138dff5e1826cd5e080c2cb4ffca0222cef9bc3313681f01c1","observation_id":"98c9c436-761f-4d3c-88c8-8a6b50fc4329","resolution":{"observed_at":"2026-08-11T19:16:03.131662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.110561Z","title":"Reduced reference quality assess- ment of light field images,","venue":null,"work_id":"76b8b127-eaf1-45db-a226-f364b56c93e7","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.382590Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:466d4e44ffa33baac973aaa25e4a08e10f4d1cf93f37790dfb3cfd48d14bc877","observation_id":"4eacf7e0-fc4f-4cd5-83cf-bc69f45c8dc6","resolution":{"observed_at":"2026-08-11T19:16:03.116066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.095029Z","title":"Immersive light field video with a layered mesh representation,","venue":null,"work_id":"a9a5c2cb-8dd9-47cd-9678-d4c802b82cb2","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.387759Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:d7de5e63b05e9440599fa520632e30daa95cc787c52e5f3dfaaae9d50e71c53c","observation_id":"59bd6969-1798-481d-b2b0-75fb420ead61","resolution":{"observed_at":"2026-08-11T19:16:03.099756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.078373Z","title":"Apple invents a light field panorama camera system for idevices and hmd that will create immersive scenes with 6 degrees of freedom,","venue":null,"work_id":"cfab66ad-e2ae-4a0e-b328-e8dd8d58414d","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.391889Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:de4c5738aae0add16e3cc8cd40f93591327105cfc26cc388511c54c5c1e75357","observation_id":"7fce25bd-515b-4179-91b3-80425db42742","resolution":{"observed_at":"2026-08-11T19:16:03.084216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.061830Z","title":"Eye-sensing light field display: Delivering 3D creators’ visions to customers the way they intended,","venue":null,"work_id":"9d8ba5ed-f7e0-48b5-9cde-499be0defaa0","year":2021},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.396461Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:036372efb3c4f8e0057ada896439b16e0b6db4a1394aaa3da4c315dcbc6ea80d","observation_id":"0d6c4c42-961f-4da6-a268-91af9c9cea65","resolution":{"observed_at":"2026-08-11T19:16:03.067837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.046446Z","title":"BELIF: Blind quality evaluator of light field image with tensor structure variation index,","venue":null,"work_id":"b6e117b3-9159-47e2-a57b-8957fb0644c2","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.400965Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:c3bf4282caa0988c0325487316b8fc1d80489c01fa5a633fac247a0d9f511b68","observation_id":"868d6c29-ca34-466e-b018-cbc76c488a4a","resolution":{"observed_at":"2026-08-11T19:16:03.051192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.030732Z","title":"No-reference light field image quality assessment based on spatial-angular measurement,","venue":null,"work_id":"a345bcca-008b-474b-9356-7cd206266927","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.405662Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:ddc22b02ba31fce9be35328911e367d271990da95580669fc6c348a1fd2e6580","observation_id":"87f051f9-57f9-4a41-81ba-d26e6bb3377b","resolution":{"observed_at":"2026-08-11T19:16:03.035879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:01.409939Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.409939Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:fab4d408abd3c5009fa7407be2eddfb2c0fa69431e7495718c721b8f174483d4","observation_id":"13396eae-8ada-40c2-b83f-3a249a68557d","resolution":{"observed_at":"2026-08-11T19:16:01.409939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:03.004163Z","title":"Light field image processing: An overview,","venue":null,"work_id":"ba6b088d-3183-46b7-b410-fbc8e59ec167","year":2017},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.415180Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:2af25348d832bb42952815d1259a302a611eab557603c604a8dc9e56c4d17475","observation_id":"c34dbba0-948e-4567-a64c-616c3e269c72","resolution":{"observed_at":"2026-08-11T19:16:03.009285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.982348Z","title":"Learning-based view synthesis for light field cameras,","venue":null,"work_id":"11eebe78-5bf6-43e8-9f4a-ef156b38fbb1","year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.419112Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:c2e073d774590773b147cebfe4a585b683ea237102a6bd549058bc9c83147a9d","observation_id":"aa5fe9f9-15ec-45b2-8031-d2a18bc42c70","resolution":{"observed_at":"2026-08-11T19:16:02.991314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-11T19:16:01.423820Z","title":"Mobilenets: Efficient convo- lutional neural networks for mobile vision applications,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.423820Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:3e5487f8b7ed275b8b71e2b61dfe1e5676f96847e52161e4b92c96beb8b1101d","observation_id":"c3374e0c-9d10-4313-b95b-5a06d042c439","resolution":{"observed_at":"2026-08-11T19:16:01.423820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.960844Z","title":"Principles of light field imaging: Briefly revisiting 25 years of research,","venue":null,"work_id":"dfb4ba35-0986-4518-92cb-81eb9507a79f","year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.429617Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:2e81aa49e9916491d1b685524b383910a6ac974fa02bcd557fb47af0700a3f12","observation_id":"33c47b40-0d21-481d-a305-0dbb1d382432","resolution":{"observed_at":"2026-08-11T19:16:02.966283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.946279Z","title":"Multiscale structural similarity for image quality assessment,","venue":null,"work_id":"e8d8de5c-84db-4c42-97c3-ecf40aaf0e75","year":2003},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.433992Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:13f14d844aad194cd31f0327bc92ef4dbbe8e5a4101d046815eb16eede2c42c4","observation_id":"04d99212-10c7-40e6-a5ac-a2efed5567ca","resolution":{"observed_at":"2026-08-11T19:16:02.950758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.931467Z","title":"FSIM: A feature similarity index for image quality assessment,","venue":null,"work_id":"75cf50e4-21c5-4488-b24d-a0eefcb11454","year":2011},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.438561Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:3a5435663758586c8ecebe38310daa6d6ca72915344a2b40a94911bee60ab5ca","observation_id":"f11dd862-edd3-45af-998d-624c79cd9a96","resolution":{"observed_at":"2026-08-11T19:16:02.936378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.916156Z","title":"Information content weighting for perceptual image quality assessment,","venue":null,"work_id":"b7e0f2eb-63ef-40ef-8dfa-d6c58c0a6aec","year":2010},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.443671Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:e36941f7774afd36fbbfdec4922b5984dd369f7462cf7ed976d5ecbe5297c4ee","observation_id":"320ef1fe-e770-4a5a-88e9-0e81dd16dbfe","resolution":{"observed_at":"2026-08-11T19:16:02.921063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.900758Z","title":"VSI: A visual saliency-induced index for perceptual image quality assessment,","venue":null,"work_id":"73f1dae0-1133-43be-8f9e-52893deadc7b","year":2014},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.449345Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:a97305f3289957cfe629dd35d338b8105695ab3eba375e492dd5145246de5d60","observation_id":"f9494686-c9df-4ecb-b3a4-c05407c9339e","resolution":{"observed_at":"2026-08-11T19:16:02.905960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:01.455183Z","title":"Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.455183Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:8dfd32854e0406bc175ff40b4d3a3617e826be58aafc77bbca90fd43dd75ea38","observation_id":"e85f4073-a154-4d08-aa76-96b0042ea55e","resolution":{"observed_at":"2026-08-11T19:16:01.455183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.873706Z","title":"Efficient no-reference quality as- sessment and classification model for contrast distorted images,","venue":null,"work_id":"23aea1b4-f034-4445-84c2-5ab160e1b1fd","year":2018},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.466162Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:5aa9f0a01a0001446b83bb4e812681f3f3c713f9e5403856921e5f140a4dd20a","observation_id":"67dd5e70-6bba-498e-b8b6-3b27f2486b76","resolution":{"observed_at":"2026-08-11T19:16:02.879939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.854330Z","title":"Blind image quality esti- mation via distortion aggravation,","venue":null,"work_id":"466692b7-f57a-405a-ba4a-fc523c122c79","year":2018},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.525354Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:0878f214ab57e0ac8a05ed8b4ace37c503d09dd6e948ff3047a28f0f4b443c87","observation_id":"e5c0ed58-d946-488d-b529-3db074e735bc","resolution":{"observed_at":"2026-08-11T19:16:02.859410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.836130Z","title":"Modeling the screen content image quality via multiscale edge attention similarity,","venue":null,"work_id":"a15f35cd-edee-4dc8-a29f-cd282ff64786","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.629595Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:38bf225804fee4720daf9986bf1609515153e6af37e8b2fc0bd873f3e4cc48da","observation_id":"0a22207d-4364-4313-b0bd-fcf946db4ab8","resolution":{"observed_at":"2026-08-11T19:16:02.841401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.819699Z","title":"Blind image quality assessment: From natural scene statistics to perceptual quality,","venue":null,"work_id":"c20e786b-aca7-4c98-be26-ee116ebb9191","year":2011},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.733234Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:ec9b65199254085012641b70a8c7296a3169870255aa6c1205da5effc0061f80","observation_id":"d5b6c1a4-3779-4c2f-9651-ac396f5729b7","resolution":{"observed_at":"2026-08-11T19:16:02.825501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:01.838471Z","title":"No-reference image quality assessment in the spatial domain,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.838471Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:f12f11e90200922f2ecb483cf59c55250e075ae8982ee66eb17a9700ec78a684","observation_id":"346d4049-8d05-4e7b-bb67-30eb0b622389","resolution":{"observed_at":"2026-08-11T19:16:01.838471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.789715Z","title":"A no-reference objective image sharpness metric based on the notion of just noticeable blur (jnb),","venue":null,"work_id":"b4f2be21-2f53-4007-9982-915c51f80a4f","year":2009},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.895379Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:10db41d8cb7110d324bb71b9c6689c74081dec005f0b9de5064d873a72bacd3c","observation_id":"143813f6-676b-421c-b1be-d0032df7eb55","resolution":{"observed_at":"2026-08-11T19:16:02.796406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.773114Z","title":"No-reference visually significant blocking artifact metric for natural scene images,","venue":null,"work_id":"8a7d9234-97bb-489c-8289-49b513165651","year":2009},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.900686Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:ee607fbe615a753425d110a37cf3b9aadc93f19a8beb70f42410c237b2d240b1","observation_id":"1975ec96-ef86-4865-8889-3fdfdf7843a0","resolution":{"observed_at":"2026-08-11T19:16:02.779176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.756764Z","title":"An improved perception-based no- reference objective image sharpness metric using iterative edge refine- ment,","venue":null,"work_id":"1a7a300d-aaf8-4628-ac8f-826193843efd","year":2008},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.905199Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:70feddc4428057a5c073e88933a4896666bbac41ceb486ef148d818d3f9dfdcb","observation_id":"67bd64ef-546b-4f13-91ab-2d8db3dfe370","resolution":{"observed_at":"2026-08-11T19:16:02.762778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.740043Z","title":"Tensor oriented no-reference light field image quality assessment,","venue":null,"work_id":"3fc40643-3ee1-4034-871c-c3bbe8806398","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.910008Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:2c31dd48c4a8c6ed8323dbe1da85295783c72755ad69a50ff2bcb754efa1aadf","observation_id":"47f26311-214d-4c61-9db5-d97444cf8f90","resolution":{"observed_at":"2026-08-11T19:16:02.745671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.722347Z","title":"Light field image quality assessment via the light field coherence,","venue":null,"work_id":"b7861c81-278e-44b5-95ef-25722d3cecdf","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.914564Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:62b3599dfaf3e64f61d5a0f9185ce03b39366ec614939c3f98d52b0fa1af478a","observation_id":"754dce19-0153-45eb-9e47-aa456cf7df2d","resolution":{"observed_at":"2026-08-11T19:16:02.727576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.05672","last_updated":"2017-03-15T08:50:00Z","snapshot_observed_at":"2026-08-13T14:54:12.324045Z","submitted_at":"2016-09-19T11:34:24Z","title":"Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.05672","snapshot_observed_at":"2026-08-11T19:16:01.919111Z","title":"Multi-residual networks: Improv- ing the speed and accuracy of residual networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.919111Z"},"links":{"cited_paper":"/paper/1609.05672","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:85be18ad86e3ad98166e0b10afec25255d67b346df183492676ce9a7dc4b0fe4","observation_id":"f0656dda-dedb-439e-8c34-945d4bdd49d7","resolution":{"observed_at":"2026-08-11T19:16:01.919111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.08029","last_updated":"2016-03-25T20:55:40Z","snapshot_observed_at":"2026-07-06T04:50:44.466723Z","submitted_at":"2016-03-25T20:55:40Z","title":"Resnet in Resnet: Generalizing Residual Architectures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.08029","snapshot_observed_at":"2026-08-11T19:16:01.924497Z","title":"Resnet in resnet: Generalizing residual architectures,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.924497Z"},"links":{"cited_paper":"/paper/1603.08029","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:79f3ae52c376199cb0868b7f151819d1a8ae739dbf94deb6ef7a15e499eb3efb","observation_id":"324f7cb6-80cb-4056-8038-cd3732b2bd82","resolution":{"observed_at":"2026-08-11T19:16:01.924497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.05098","last_updated":"2017-06-15T21:38:12Z","snapshot_observed_at":"2026-08-13T21:53:02.384757Z","submitted_at":"2017-06-15T21:38:12Z","title":"An Overview of Multi-Task Learning in Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05098","snapshot_observed_at":"2026-08-11T19:16:01.929726Z","title":"An overview of multi-task learning in deep neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.929726Z"},"links":{"cited_paper":"/paper/1706.05098","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:0cb59e2a0842eea6613e732700899773b4f13a97febc995f5ee97e0a3a00bb0a","observation_id":"b199afe2-8dff-4983-b1a4-05e163732afd","resolution":{"observed_at":"2026-08-11T19:16:01.929726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.705413Z","title":"Multi- task rank learning for image quality assessment,","venue":null,"work_id":"2f89f0ac-d5b1-4637-8676-5b8c6a72e749","year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.934912Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:108e61d408d8f38a5c426aabb6dfbd83ea3886617ff0f38cfef883a6b11db37a","observation_id":"97f33853-6622-4135-8c87-529bd00e6041","resolution":{"observed_at":"2026-08-11T19:16:02.710254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.689792Z","title":"End-to- end blind image quality assessment using deep neural networks,","venue":null,"work_id":"b0364a76-bb30-48e2-b09f-3acb611307dd","year":2017},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.940058Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:919e435c4c1f0e1c0c8e611cc121936c7cd0dca50c8c2892f889f359b94ae3c3","observation_id":"1381b536-453b-4232-9ad4-f43cdf6f93d5","resolution":{"observed_at":"2026-08-11T19:16:02.695263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.673817Z","title":"Naturalness-aware deep no-reference image quality assessment,","venue":null,"work_id":"8c6e5c51-125e-4086-9bb9-0e428ad68950","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.946127Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:c01290d1a8931e8fdb6eb78309cd50ffccbc2a88c342df0db08dbba7a917e3f6","observation_id":"4928fcc6-2641-46c9-8dfb-1f0599985e12","resolution":{"observed_at":"2026-08-11T19:16:02.678846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.654896Z","title":"Personality-assisted multi- task learning for generic and personalized image aesthetics assessment,","venue":null,"work_id":"b6ca435a-c0a7-42b5-9a3b-6d26e31a73ef","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.951248Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:d87e65b6091a607a439971bfddaa3ade003929e650540d9ddf53d1bbde37cf81","observation_id":"1734539d-a843-4d32-bf52-8642ec8371c5","resolution":{"observed_at":"2026-08-11T19:16:02.661188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.05397","last_updated":"2016-11-16T18:21:29Z","snapshot_observed_at":"2026-08-08T00:00:13.424932Z","submitted_at":"2016-11-16T18:21:29Z","title":"Reinforcement Learning with Unsupervised Auxiliary Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.05397","snapshot_observed_at":"2026-08-11T19:16:01.956003Z","title":"Reinforcement learning with unsupervised auxiliary tasks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.956003Z"},"links":{"cited_paper":"/paper/1611.05397","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:1cea5ad64752b374ae7ce9159eccd39d972553cb453d2fdffde4ec28f99a29cd","observation_id":"c1686390-8731-4de7-99da-91c09125842d","resolution":{"observed_at":"2026-08-11T19:16:01.956003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:01.962671Z","title":"Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.962671Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:d56ab01d72eef927798a9711845eb7c8e045cc8638748927d6e73955e4adb1f0","observation_id":"08832d7b-af81-4b4c-8073-b8740e2f448d","resolution":{"observed_at":"2026-08-11T19:16:01.962671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.628755Z","title":"Perceptual evaluation of light field image,","venue":null,"work_id":"820fdb4e-5f98-4ae9-8839-2466771eb9d9","year":2018},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.967207Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:dac4f2de8a75510c246932eb95f0d75b2bac4e5319b54cf7dd7547789acf4369","observation_id":"8150c3fb-0f1c-4f2a-aabe-75557e8ad4bf","resolution":{"observed_at":"2026-08-11T19:16:02.633750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.614140Z","title":"Depth-wise separable convolutions and multi-level pooling for an efficient spatial CNN-based steganalysis,","venue":null,"work_id":"f8e543c8-944c-4430-b793-b765b8b706b9","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.971911Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:1ebad7e4ee92e7d50ff31260e5201e2fcc11d8eb6f03d79a20f3736fbadb974f","observation_id":"e9874af3-4cc8-4464-a083-1860e242280a","resolution":{"observed_at":"2026-08-11T19:16:02.618938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.599098Z","title":"Lightweight deep residual CNN for fault diagnosis of rotating machinery based on depthwise separable convolutions,","venue":null,"work_id":"c5de7ae1-1a68-4fba-84c1-074ecc77bfdf","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.018837Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:91486aa9a172ebbda3393d997294adacde33437c99873a4bde47bfffb4c35b7a","observation_id":"6eff3ae1-3074-4237-9bd1-f6294d75eabd","resolution":{"observed_at":"2026-08-11T19:16:02.604098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03803","last_updated":"2019-11-09T23:34:28Z","snapshot_observed_at":"2026-08-09T22:34:07.535449Z","submitted_at":"2019-11-09T23:34:28Z","title":"XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification","version":1},"cited_work":{"arxiv_id":"1911.03803","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.03803","snapshot_observed_at":"2026-08-11T19:16:02.359155Z","title":"XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification","venue":"cs.LG","work_id":"501c0a10-7167-49ec-a04c-4c1341eee89a","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.099025Z"},"links":{"cited_paper":"/paper/1911.03803","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:1484a3cfcff33454896eca11370fe641a0de81d6525961518f24fdb72e70991e","observation_id":"6f3b5f28-535c-413c-ad36-671b5ee6708f","resolution":{"observed_at":"2026-08-11T19:16:02.366248Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.584241Z","title":"Improved image classification with 4D light-field and interleaved con- volutional neural network,","venue":null,"work_id":"7e0768cf-5526-405c-8075-82e3c6eb1fa0","year":2019},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.203937Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:5db7fdb3ba4d5e1bac3b80922bfc7f5c39d1f31b628152858e5fe62ea0870b7b","observation_id":"5388eff6-0689-4b6f-b391-2c9eb53437a8","resolution":{"observed_at":"2026-08-11T19:16:02.588933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.568352Z","title":"Towards the perceptual quality evaluation of compressed light field images,","venue":null,"work_id":"541f5134-ee04-49dc-a5bc-759360d55899","year":2017},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.266135Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:c71c0a88d80d7b96f7ca5cb8a98125c83d952408d06946ccd6eab4e0577f82e2","observation_id":"0cb0a402-5ffe-4215-95e6-26a351ebc591","resolution":{"observed_at":"2026-08-11T19:16:02.574239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.551711Z","title":"Fast light field reconstruction with deep coarse-to-fine modeling of spatial-angular clues,","venue":null,"work_id":"b117fda7-1344-444e-a3de-21556461e3fc","year":2018},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.271800Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:4bd99c71b42837d4ab8b7eda1e32bb4e8169b6ba9e537d443011f03759917912","observation_id":"1e2816dc-d737-4d11-b0ff-b41af58ed0e1","resolution":{"observed_at":"2026-08-11T19:16:02.557984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.535808Z","title":"Light field saliency detection with deep convolutional networks,","venue":null,"work_id":"43a8b01c-3eb6-4bfd-b480-9709406deeda","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.277830Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:c940ea575b5c3433cdf1ab1473564fa9d785ff87873c8d1a797836c7576cc8b4","observation_id":"f9e7299e-9fd0-4a33-8735-2b32f7449ad1","resolution":{"observed_at":"2026-08-11T19:16:02.541018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.519927Z","title":null,"venue":null,"work_id":"34f4e24f-37a6-4190-ab16-fb207d2d2e12","year":2005},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.282411Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:5bce6543a3b57486cac9b8fa464c4214f119d9349bf9aa0499074a4ae9bd043b","observation_id":"caa484e1-c9e8-487c-a659-92081c82c1a9","resolution":{"observed_at":"2026-08-11T19:16:02.525072Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.503913Z","title":"Zwillinger and S","venue":null,"work_id":"37b7d515-69dc-46ad-a25c-5e49a5a43533","year":1999},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.287034Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:1fbf7a938ee41983d1885d5260c6554391b0df24ba9a9b6d9c5cf4b8119fa0ec","observation_id":"357c9773-ef7d-40d7-b042-948255e12489","resolution":{"observed_at":"2026-08-11T19:16:02.509456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09237","last_updated":"2019-04-19T16:21:38Z","snapshot_observed_at":"2026-08-03T03:50:23.110540Z","submitted_at":"2019-04-19T16:21:38Z","title":"On the Convergence of Adam and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09237","snapshot_observed_at":"2026-08-11T19:16:02.291675Z","title":"On the convergence of adam and beyond,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.291675Z"},"links":{"cited_paper":"/paper/1904.09237","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:8526a48ccca4a0ae12b740579381c1c43a57285edbffbbe5c81c1b6ac8910fe4","observation_id":"2510502c-5876-4159-b29f-3ff2550c78dc","resolution":{"observed_at":"2026-08-11T19:16:02.291675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.487780Z","title":"No reference quality assessment of stereo video based on saliency and sparsity,","venue":null,"work_id":"358ef9ed-9eee-4d8c-9991-f0d203f5328e","year":2018},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.296946Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:609c5dade794f8a5fb00b92810030bd9a577042144d7c54f18c8eeb8fc3de1c1","observation_id":"1342d522-9c4a-473c-8cb3-643686f8ad8c","resolution":{"observed_at":"2026-08-11T19:16:02.493074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T19:16:02.466465Z","title":"JPEG Pleno: Standardizing a coding framework and tools for plenoptic imaging modalities,","venue":null,"work_id":"2084c33d-5d87-458c-9486-4375d7524511","year":2020},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:02.301631Z"},"links":{"citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:2b4fb7843def1015ede2fe9535a7224fadd94e664bf82e021891728a9ab15732","observation_id":"4d1b4647-0f64-4c21-bb3e-61258927b12a","resolution":{"observed_at":"2026-08-11T19:16:02.471711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":37},"total_outbound_references":49},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2412.07079."}