{"as_of":"2026-08-21T14:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f287d94f3d46322477b55234768061830aa2a79e5962ae4e682be60bf39e741","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T02:23:43.589590Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:55:55.098456Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T10:56:01.116353Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"cited_work":{"arxiv_id":"1907.02665","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.02665","snapshot_observed_at":"2026-08-05T10:56:01.116353Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","venue":"eess.IV","work_id":"c4780a09-b933-4b15-8d60-ede48287a126","year":2019},"citing_paper":{"arxiv_id":"2509.03494","last_updated":"2025-09-06T16:31:33Z","snapshot_observed_at":"2026-08-15T22:49:12.402431Z","submitted_at":"2025-09-03T17:23:24Z","title":"Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T10:55:55.098456Z"},"links":{"cited_paper":"/paper/1907.02665","citing_paper":"/paper/2509.03494"},"observation_digest":"sha256:0a42425fa7f373518275a3f98f108d4565b06bb47b4355ff6d8463abc9965338","observation_id":"bf867e90-610d-4b37-a201-bab05c1e399d","resolution":{"observed_at":"2026-08-05T10:56:01.185604Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1907.02665/citation-record","integrity":"/paper/1907.02665/integrity","json":"/paper/1907.02665/citation-record.json","paper":"/paper/1907.02665"},"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":null,"venue":null,"work_id":"5e8df07d-6571-41bb-9a11-3e5a64454cbb","year":2010},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:6786749d49fb5124aef4549bf850881d44b6506e693c7c89d4e467aeb18d7af7","observation_id":"7cb75228-a97b-4b45-9a29-8111f50efb72","resolution":{"observed_at":"2026-05-25T02:26:34.086267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01704","last_updated":"2017-03-03T14:53:13Z","snapshot_observed_at":"2026-08-20T11:11:12.297416Z","submitted_at":"2016-11-05T21:39:53Z","title":"End-to-end Optimized Image Compression","version":3},"cited_work":{"arxiv_id":"1611.01704","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.01704","snapshot_observed_at":"2026-07-09T15:06:17.968536Z","title":"End-to-end optimized image compression","venue":"cs.CV","work_id":"84c3cd9a-bc02-4db1-b13c-eb3806b8477f","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"cited_paper":"/paper/1611.01704","citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:24cbd01971a7e42d763d32a559f7c6c88ab6245637c20116751dbe569cb1eb77","observation_id":"2a64d981-384c-4f73-880c-f69ffc9baea4","resolution":{"observed_at":"2026-05-25T02:25:14.870222Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Quality-of-experience of adaptive video streaming: Exploring the space of adaptations","venue":null,"work_id":"02beae9b-fcb1-4662-afc7-8d14e68ed606","year":2017},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:93fc7f9ad7d8dafaccc58f7f77e3b5b10ea00d583c552778f090f089155679e7","observation_id":"f4d7c44e-95c3-4303-a88e-7b1b0649ec32","resolution":{"observed_at":"2026-05-25T02:26:34.044802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Wang and A","venue":null,"work_id":"7854c97d-1a44-494c-929c-5e1ebfe5cba5","year":2006},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:5d8a289b35d1cab61a6728659575331a57b0b3f38485dd1e624ac833e59108e3","observation_id":"dcaf1f82-a80b-4d35-9d2c-8d3ec135c421","resolution":{"observed_at":"2026-05-25T02:26:34.041607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Display device-adapted video quality-of-experience assessment","venue":null,"work_id":"22278dd3-0d17-4861-bd59-ce500281d9e4","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:5d05d30b78b843dc8a6ce8d94558ba0d0de444f0ebc1a85326bc53142a6033e6","observation_id":"ef3f471d-ed2f-4e9c-be54-28b7511f8a99","resolution":{"observed_at":"2026-05-25T02:26:34.066035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Reduced-and no-reference image quality assessment: The natural scene statistic model approach","venue":null,"work_id":"cc55e388-6072-4238-9c76-7b3aec4c60ed","year":2011},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:194246da893919c1e5f1518eedf268629c511d8c77b80ad6b56712bf4103b727","observation_id":"8e0b9c78-2bed-4e8b-90b1-f54c651b1324","resolution":{"observed_at":"2026-05-25T02:26:34.073565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"No-reference image quality assessment in the spatial domain","venue":null,"work_id":"f903613b-2f7c-46b9-a3d7-61796feefc60","year":2012},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:79d4848c52f7849a270d940a8f680ccd51469f8c4d12c19e11e920b3592f31d6","observation_id":"b5761248-85f2-4ea9-a5bb-d26660ec0b6a","resolution":{"observed_at":"2026-05-25T02:26:34.054908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Unsupervised feature learning framework for no-reference image quality assessment","venue":null,"work_id":"49bb8620-6125-4d29-a5b1-d0ec98d4ac59","year":2012},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:1dab2801145b8824575273c8f17abd8207a9f6df3c826a48a210dc3ac1e77e6d","observation_id":"556f2d65-4ccb-4e2a-98c9-0f8dc88b1341","resolution":{"observed_at":"2026-05-25T02:26:34.005831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Convolutional neural networks for no-reference image quality assessment","venue":null,"work_id":"dad6cd94-84c5-422d-87ac-67deddb3fecc","year":2014},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:860c96c5fda82563b94c299a06244a2f1d1b5838d099fb653259f9fb1229b156","observation_id":"ff0a4b41-3b49-4e95-ad78-d7e6bb1b2eb6","resolution":{"observed_at":"2026-05-25T02:26:33.991187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"End-to- end blind image quality assessment using deep neural networks","venue":null,"work_id":"e41eb8fb-e2da-4dc6-ab4d-fea02caf3ca5","year":2018},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:e9809ce1c3affcfb2bb585ec8c42d53c655b303bb56292187170330f957ee41a","observation_id":"d175e1fa-27da-425f-bc18-d9fd14febffb","resolution":{"observed_at":"2026-05-25T02:26:34.002076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 image database","venue":null,"work_id":"cd90df39-bd03-420a-943c-ac0a1315bd71","year":2009},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:29653809eda738bd84fe92634d4bda01ae516cf9601acc3a597f6320531eadf9","observation_id":"3af1dd91-04bd-4a2e-80ff-0f3da7492784","resolution":{"observed_at":"2026-05-25T02:26:33.988012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 convolutional neural models for picture-quality prediction: Challenges and solutions to data-driven image quality assessment","venue":null,"work_id":"7d76dbbb-7ca9-4e2a-aa8e-251e1066e21a","year":2017},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:cd430f557d52c6c157ac9cd28eb24a0d3a528e35f0c0b4327545ab097dcb12a0","observation_id":"81f618c1-77f9-4396-b33a-04ad49f74454","resolution":{"observed_at":"2026-05-25T02:26:34.019101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Massive online crowdsourced study of subjective and objective picture quality","venue":null,"work_id":"c660669f-ab57-4e6b-8e12-af3ba0878933","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:14fa829aea37e2e92023c703ba93fb483ab349608df053d8afd3852c8da5ac3b","observation_id":"c45f3de1-e633-42ed-bef5-ed97e4bc2aca","resolution":{"observed_at":"2026-05-25T02:26:34.012355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 statistical evaluation of recent full reference image quality assessment algorithms","venue":null,"work_id":"ff11cc0a-4053-40ab-aec5-d35fc11ba212","year":2006},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:178fb15251d3556a4a4ce7a5835effbbf680b2c23db185ba6d60b11ccb7b3d52","observation_id":"9bc46064-767a-45d3-89f5-0c3c13ae6e49","resolution":{"observed_at":"2026-05-25T02:26:33.948975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Image database TID2013: Peculiarities, results and perspectives","venue":null,"work_id":"cda11e41-28e8-449a-b14d-a6288ed2edf4","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:3480fa1402293be31e2cc22b548555193824818fd150bcaa0ab63427a8ccb03f","observation_id":"cca571cb-86eb-40d5-bdfc-158805d7a4a6","resolution":{"observed_at":"2026-05-25T02:26:33.976047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Fully deep blind image quality predictor","venue":null,"work_id":"a652b4c8-19d4-47ed-bd13-572f2f772af8","year":2017},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:f32f8ed2d5f991e42d8bcbda60d696d712a11cc02ac56d189a19fb247af4286c","observation_id":"46dda949-3611-460d-81d6-09010ee0ac30","resolution":{"observed_at":"2026-05-25T02:26:34.051892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks","venue":null,"work_id":"5812bc2e-414d-4565-976c-4acd1ed2879f","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:eecd7ecd21f8969aef06b35303c94b02312a34cc295729b630e533b065029032","observation_id":"71c60374-119f-423a-bf5c-02ac18da5486","resolution":{"observed_at":"2026-05-25T02:26:34.058469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Waterloo Exploration Database: New challenges for image quality assessment models","venue":null,"work_id":"0dca57be-e8a5-45f3-ab73-973fdf53efd6","year":2017},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:6570444c5a04c9a5ba53bfb39908ba5e2500c2a2dcc8bff01ca4dc713e7254e1","observation_id":"d4daf396-5961-4ff8-b7d1-24201775a187","resolution":{"observed_at":"2026-05-25T02:26:34.048576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 Pascal Visual Object Classes (VOC) Challenge","venue":null,"work_id":"a06ff172-1075-4f31-a8c7-7c53f772f562","year":2010},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:242ab53a7ab633eb2a56f65d7a74a36a71f6b35bb89bc66e0ad908000837126b","observation_id":"e72aa1ef-9beb-4dce-9f7e-4661cfe4b3ad","resolution":{"observed_at":"2026-05-25T02:26:34.061598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Perceptual quality prediction on authentically distorted images using a bag of features approach","venue":null,"work_id":"15e9c44a-c6bc-4d6b-8278-3f394e93cd5d","year":2017},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:7f013f853bd2180b75bd078fe544b7566bf357a3da3eeb22d64da12030d9cc35","observation_id":"82d17954-ee64-43e4-bb5e-075b35c4c09f","resolution":{"observed_at":"2026-05-25T02:26:34.069917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Very deep convolutional networks for large-scale image recognition","venue":null,"work_id":"b460772a-53ff-4c3e-a1b2-5b44f1ebc16b","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:b49a54bfa82ea7bb49efc4cc7c6b4e1d8cad0f0f1f95f79f0c9791cc04df89f1","observation_id":"599ded03-e11f-440c-b37a-1d5b75ccc360","resolution":{"observed_at":"2026-05-25T02:26:34.026429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Bilinear CNN models for ﬁne-grained visual recognition","venue":null,"work_id":"c347e8a3-3b60-4b06-bbb1-f53532d7068c","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:48b5b132f5f7514c4b4014fc89bcc9a24d41226ed359d8e7baccd721b820f605","observation_id":"2c1f05de-f180-43ae-a076-e24d171450e6","resolution":{"observed_at":"2026-05-25T02:26:34.015762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Group MAD competition − a new methodology to compare objective image quality models","venue":null,"work_id":"d99b72b6-70a6-4ee0-9b28-85ce1e1edde9","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:8e70efd588c4c4fb16c0ea58d85be55d10faa62075dedc862c83d725db1eb18b","observation_id":"41d2ede8-4b7d-458d-a44b-e19a1a755373","resolution":{"observed_at":"2026-05-25T02:26:33.998167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 neural networks for no-reference and full-reference image quality as- sessment","venue":null,"work_id":"54038ba0-8844-4887-9c8d-2c668e3996c2","year":2018},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:64eb99dce1e54957b9d544b2f09b400e7a7624c51a390f6f86afb58f561a4eac","observation_id":"92fc3f07-6594-4e10-8a4f-3797a1bea601","resolution":{"observed_at":"2026-05-25T02:26:33.996049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"dipIQ: Blind image quality assessment by learning-to-rank discriminable image pairs","venue":null,"work_id":"24f5168b-08f5-4e83-8304-81db66d7321b","year":2017},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:e32e78a7370162f981086463b4a1bcf51251c3f07dff4865c32b1314f55c7563","observation_id":"57917aa4-8a91-4d76-bf8d-fd5e586631af","resolution":{"observed_at":"2026-05-25T02:26:33.984698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Blind image quality assessment using semi-supervised rectiﬁer networks","venue":null,"work_id":"5ab7d7c9-ca9d-4841-8a77-7d515b346aee","year":2014},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:cb83161de3f6e5d2bda1cf59e2abac0c4c345809d15cadc58855a72badda25b5","observation_id":"d439b571-6a47-4e5e-9cc6-1457f6c49885","resolution":{"observed_at":"2026-05-25T02:26:33.994652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.05531","last_updated":"2017-04-04T14:12:38Z","snapshot_observed_at":"2026-08-14T22:09:55.319098Z","submitted_at":"2016-02-17T19:12:50Z","title":"On the Use of Deep Learning for Blind Image Quality Assessment","version":5},"cited_work":{"arxiv_id":"1602.05531","doi":null,"metadata_source":"pith","pith_arxiv_id":"1602.05531","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On the Use of Deep Learning for Blind Image Quality Assessment","venue":"cs.CV","work_id":"40090b5e-e406-4641-af3d-a9c6a4f8caab","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"cited_paper":"/paper/1602.05531","citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:844909bfb2e99997da99721d721931410bcdec2acf5ecb06b0ebebfd85413de8","observation_id":"e4e9de7f-d179-4825-80f6-fd64ff1b9b7a","resolution":{"observed_at":"2026-05-25T02:25:14.863579Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"FSIM: A feature similarity index for image quality assessment","venue":null,"work_id":"1fa08e40-b9df-4463-bfe0-39be163c7532","year":2011},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:10f3d4b659b41e741acea9d2acab14d5c492602cbe3d50fc02c2f0028306ba37","observation_id":"0d019846-f8da-41da-8ae0-3b65dd495b6e","resolution":{"observed_at":"2026-05-25T02:26:34.009084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Perceptual quality assessment for multi-exposure image fusion","venue":null,"work_id":"1a6f85e1-182c-44b8-b35e-dfa0017a75a6","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:19d76949d1e7aac25ce734b6231323a02d81dab94afacb4d94d9227b8dce4907","observation_id":"5f5c5a75-b417-4482-adaa-ca21554602c1","resolution":{"observed_at":"2026-05-25T02:26:34.029447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Separating style and content","venue":null,"work_id":"6f4443a0-e511-4296-91af-a21c613e5f5e","year":1997},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:4219d455759725f4a3331dc141cc07de113d5b50ce786d2527307ac9c0f0a1e8","observation_id":"e99d6df7-574d-44be-9ab5-74c0de360c04","resolution":{"observed_at":"2026-05-25T02:26:33.952177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Two-stream convolutional networks for action recognition in videos","venue":null,"work_id":"751570b3-1dd3-4743-8380-ef9201800ce0","year":2014},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:581737c7c3efa52ee0d357c5e3fd4edccb3de2840efddc7c04a07decb0212c75","observation_id":"f9f0b4b9-fe36-4b73-9716-62248bc0d23c","resolution":{"observed_at":"2026-05-25T02:26:33.959046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01847","last_updated":"2016-09-24T01:58:59Z","snapshot_observed_at":"2026-08-14T21:53:59.472078Z","submitted_at":"2016-06-06T17:59:56Z","title":"Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding","version":3},"cited_work":{"arxiv_id":"1606.01847","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.01847","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding","venue":"cs.CV","work_id":"00689c67-f2c1-47c5-86e2-d21f8c382b83","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"cited_paper":"/paper/1606.01847","citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:c4430428bf9386f14c4bcb2f08c96b8403a34271413fb076a7da437a8c35d3f5","observation_id":"cd2d50fd-29e1-4952-b4c1-b037487c19a2","resolution":{"observed_at":"2026-05-25T02:25:14.852001Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 residual learning for image recognition","venue":null,"work_id":"4f090511-14bf-4e38-b4bb-778da8fb7ac4","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:8d7c5c01a04760af0137768a982f01308f01d268d4077b2db2487baef9557ca1","observation_id":"d8a10ea1-5ef0-4c8f-b48a-656a601349e7","resolution":{"observed_at":"2026-05-25T02:26:33.965434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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 Riemannian framework for tensor computing","venue":null,"work_id":"453ad7e2-acfc-470e-91c0-2c2e9c0c6486","year":2006},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:32c3ffdaeeeccfe0cf941879ac6ad1569cae4103e4a7236bb1411854369c581f","observation_id":"9ee2b032-3132-4966-b370-d82906c9d298","resolution":{"observed_at":"2026-05-25T02:26:33.955544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Most apparent distortion: Full- reference image quality assessment and the role of strategy","venue":null,"work_id":"6a35ad37-09b9-49eb-b867-304a4ccaeb89","year":2010},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:c056b8e613d2f701154e5395df932ce47a0f12926cd3dbb1f05e2ab6b50b3d61","observation_id":"aef6fc79-2dc1-4197-803a-4dacb08c2c70","resolution":{"observed_at":"2026-05-25T02:26:33.962569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Objective quality assessment of multiply distorted images","venue":null,"work_id":"5461ba3b-2c71-4a4b-94fa-5cb1b3241a5a","year":2013},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:af41c655f0e5c0323f2ea1d698b533be970ff59e20265be94f1cd10ac68515d9","observation_id":"43c3f57d-df51-49c5-8f75-6601967e57c1","resolution":{"observed_at":"2026-05-25T02:26:33.968639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Final report from the video quality experts group on the validation of objective models of video quality assessment","venue":null,"work_id":"f085ca48-1daf-44ac-ad1f-e65fc2225d78","year":2000},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:e96ce5b754b531e602af4265263e263d43eb25d314aa1d3f0f82b3cc792d1761","observation_id":"4fd3808e-9d54-4740-998f-97546e854e8c","resolution":{"observed_at":"2026-05-25T02:26:33.972605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Delving deep into rectiﬁers: Surpassing human-level performance on ImageNet classiﬁcation","venue":null,"work_id":"7ea794e6-25da-4a15-8072-21d7ccee0d93","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:a40f0384e3aea96cc801b94a81bfcaafd65481841d09f71f46fc1e8938a02c43","observation_id":"5dea2a0c-6db0-459b-84a1-d311ff2501ab","resolution":{"observed_at":"2026-05-25T02:26:34.079890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:297077f7a1748535e94e7aa6f8d37dcb297be78df47b8676db4030c714770aa8","observation_id":"f24dca21-ae92-49c4-878f-fda89c331cc4","resolution":{"observed_at":"2026-05-25T02:25:14.857614Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","venue":null,"work_id":"d6596422-1e80-4319-87bb-f074563bf475","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:2a2cc2ba7dacde7da9de4b388a7e2640a63cc73e7826f5d2d7167f40c33e2399","observation_id":"71acdf4f-d38a-4bfe-bbeb-979fd74e8d5f","resolution":{"observed_at":"2026-05-25T02:26:34.083034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"MatConvNet: Convolutional neural networks for Matlab","venue":null,"work_id":"1e9ac86b-07b8-480f-98c4-9e8566a74fe4","year":2015},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:bc3884338abd77d38211096dd183f1e4882488116fcafeec869259cf61ee5c28","observation_id":"5dd4b5f5-8110-476b-a5e7-05124eda272b","resolution":{"observed_at":"2026-05-25T02:26:34.076701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features","venue":null,"work_id":"06eace9e-7563-4e95-80c2-64f92daea006","year":2014},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:6feb6a4c413c3ee422e58def36011e1217157948ab88748eed75293f1a6858ab","observation_id":"e8919f96-75f8-438a-aa01-821cacbbbaa0","resolution":{"observed_at":"2026-05-25T02:26:34.023052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Blind image quality assessment based on high order statistics aggregation","venue":null,"work_id":"3a4ef428-c93e-4cf7-9005-3aa932ddafb0","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:00f162a8f2dabc64d71b61d8a1e01d41489dc7ad27731179bf63c221b77dafee","observation_id":"78c3197e-7fdd-4730-9d77-3a4c4fe28fe3","resolution":{"observed_at":"2026-05-25T02:26:34.032671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual quantities","venue":null,"work_id":"89317e56-6b4e-4be5-8869-bc9b89866738","year":2008},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:f23c29a2461528504a20c006f73d8cacfc1ad7693e08865735a43e1aa3e9d30e","observation_id":"83487ee2-eaaa-4d51-9c00-b50c40fe6996","resolution":{"observed_at":"2026-05-25T02:26:34.035738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"Compact bilinear pool- ing","venue":null,"work_id":"46b6d6ba-530f-4aef-b3fc-a14025f498e6","year":2016},"citing_paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-25T02:23:43.589590Z"},"links":{"citing_paper":"/paper/1907.02665"},"observation_digest":"sha256:6f381a40d3eaaa704e002177ea3978d73b540758c439be195a41e68718b7a55f","observation_id":"811f1662-2fe3-4259-813a-6b9ce2d88846","resolution":{"observed_at":"2026-05-25T02:26:34.038545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1907.02665","last_updated":"2019-07-05T03:35:35Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-19T19:36:26.742785Z","submitted_at":"2019-07-05T03:35:35Z","title":"Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":4,"verified_fuzzy":40},"total_outbound_references":45},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:1907.02665."}