{"as_of":"2026-08-14T11:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4793ffd661d8e23153ecd789998e2a6e8f07fe1f02fbb639e34075cb8ca93db0","coverage":[{"denominator":71,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":71,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:10:31.547332Z","state":"measured"},{"denominator":71,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":71,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2412.06003/citation-record","integrity":"/paper/2412.06003/integrity","json":"/paper/2412.06003/citation-record.json","paper":"/paper/2412.06003"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:10:32.439717Z","title":"Head-worn displays: a review,","venue":null,"work_id":"ab0d4158-b69e-4133-83a1-53f5272b9381","year":2006},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.275229Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:0d841487be85c8e87801e4afaa8fec4703550fa5271d257fd30881da37679e45","observation_id":"40603010-2bb4-4fc8-b41b-4ae274353f19","resolution":{"observed_at":"2026-08-11T20:10:32.443470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.428648Z","title":"Augmented reality and virtual reality displays: perspectives and challenges,","venue":null,"work_id":"f0a6e99e-b483-4066-9cbe-fc550e0c9ddb","year":2020},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.279709Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:70838ebdb670e0da57edae7f2613b41900101c522706619996b9e46d0bfa8875","observation_id":"99b8998e-77c0-46a0-8b08-e3d4f67fc717","resolution":{"observed_at":"2026-08-11T20:10:32.432636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.415900Z","title":"History of augmented reality,","venue":null,"work_id":"5e379126-be5b-4344-b154-66ad651dd9f4","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.283863Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:31daf4c4ab0f3f04efd53273adf4f9b43d266988e4440980e7f71a3bcb9aae93","observation_id":"df1eb042-535e-4329-a0b3-be69757c20f4","resolution":{"observed_at":"2026-08-11T20:10:32.420807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.404005Z","title":"Deep-based quality assessment of medical images through domain adaptation,","venue":null,"work_id":"921d7cd8-f6f2-447a-93a6-c127df19c3e5","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.287766Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:0457cdaaa132babd3f3a4205463216d24586a48185865d78184c35c62eab7dba","observation_id":"1a7f92ec-1e73-478d-bcf7-3c3f02f466cd","resolution":{"observed_at":"2026-08-11T20:10:32.408223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.392207Z","title":"International Telecommu- nication Union","venue":null,"work_id":"f192c085-3b07-4ba9-8299-3809919debb1","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.291816Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:8dffb23b464294f64fd2cf4e4a32d66f5ac4af0953b16e8a1b32628dea7d2675","observation_id":"48191757-6228-4cd2-bdf4-cb87fe0747c8","resolution":{"observed_at":"2026-08-11T20:10:32.396207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.07032","last_updated":"2020-11-24T23:04:36Z","snapshot_observed_at":"2026-08-12T03:52:35.135003Z","submitted_at":"2020-06-10T15:59:42Z","title":"QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.07032","snapshot_observed_at":"2026-08-11T20:10:31.296724Z","title":"Qualinet white paper on definitions of immersive media experience (imex),","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.296724Z"},"links":{"cited_paper":"/paper/2007.07032","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:a57bfd37fc73b53f9f1cb328c72c80e60ab8df493d236f0f9fa5d12d67a47b90","observation_id":"61708051-3a13-4e6e-9b1a-e3993ecc2f00","resolution":{"observed_at":"2026-08-11T20:10:31.296724Z","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":"2026-08-11T20:10:32.380092Z","title":null,"venue":null,"work_id":"c89ac765-783b-45ff-8e62-2eed17dbbc85","year":2016},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.301349Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:d7c6c43bda402b9557f293d2e2ff90696d20e2f8350be208a32dff963a04c542","observation_id":"3bd0a00c-d4c0-45a8-8752-0207d2478935","resolution":{"observed_at":"2026-08-11T20:10:32.383901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.368914Z","title":"Research and application of the adaptive model of the human visual sys- tem for improving the effectiveness of objective video quality metrics,","venue":null,"work_id":"ec6c577a-c953-470a-a716-de61a22ebcdb","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.305790Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:3dfa61116a2a5ab815d7f045e9f5f13e6ed2bcca43e96c93ff82ff850ea1577c","observation_id":"05167f94-0160-472f-9739-02fead75f82b","resolution":{"observed_at":"2026-08-11T20:10:32.372825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.357425Z","title":"Dashrestreamer: Framework for creation of impaired video clips under realistic network conditions,","venue":null,"work_id":"69d2f15a-ee61-4083-ba13-8d4f4588494d","year":2018},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.309635Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:cb6a8b31f59cc50af7a44356a5a8dfd2d8d40eebcbae989b9edc936e4a532956","observation_id":"b84864ef-8bea-4399-8110-4c90566a7096","resolution":{"observed_at":"2026-08-11T20:10:32.361283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.345726Z","title":"Iv- psnr—the objective quality metric for immersive video applications,","venue":null,"work_id":"182149b5-0c0c-4167-85b6-e563d5f18845","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.313690Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:e04c5a67f59d6637e73f99b82504cf3026b5188608545cb5b69912de8f39e48c","observation_id":"5e8b99d2-f58b-4e24-a0f9-a0f1eebaa8ba","resolution":{"observed_at":"2026-08-11T20:10:32.349549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.333779Z","title":"A bayesian quality-of-experience model for adaptive streaming videos,","venue":null,"work_id":"5fca874c-343d-4f09-98a9-a55fec8059b9","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.317492Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:7e8bf8c4219d83acb6895059133ff544d861e005428c2d49e63d866aa912e607","observation_id":"abc38aa8-c6ff-44f9-ae5f-ec9355aea455","resolution":{"observed_at":"2026-08-11T20:10:32.337915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.322898Z","title":"Itu-t recommendation g.1036,","venue":null,"work_id":"c8e85827-4d74-438c-86f1-e227bac4d5a7","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.321244Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:e02f43049f095e2e8a6bcfbc9c6336e8a4e7dae865f214b840f59c17afce25e5","observation_id":"7b3f3f6a-14f3-4d61-97fc-6a91adf5004a","resolution":{"observed_at":"2026-08-11T20:10:32.327057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.311834Z","title":"Objective and subjective quality assessment of 360- degree images,","venue":null,"work_id":"93407437-5ee0-4dc0-99a7-435c56078685","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.325074Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:1c254fa52b34125db0f6551430224b7bb042fb5ede0dc4468f3bf307a4cbab3b","observation_id":"1c93e4e6-5129-4a1b-b7ad-79c0b6cada7e","resolution":{"observed_at":"2026-08-11T20:10:32.315684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.300517Z","title":"Attentive deep image quality assessment for omnidirectional stitching,","venue":null,"work_id":"1a6f3d13-0ea6-4ed1-ad0e-87c02b2376fb","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.328835Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:57c55c4e6e88b41d9f209c7f4fba29a8c6d74329f44c9210ede3343d7f60f72e","observation_id":"df8f00bf-42fa-40a4-92ca-766d3fd39033","resolution":{"observed_at":"2026-08-11T20:10:32.304415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.10813","last_updated":"2023-07-20T12:21:26Z","snapshot_observed_at":"2026-08-13T10:51:54.404752Z","submitted_at":"2023-07-20T12:21:26Z","title":"Perceptual Quality Assessment of Omnidirectional Audio-visual Signals","version":1},"cited_work":{"arxiv_id":"2307.10813","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.10813","snapshot_observed_at":"2026-08-11T20:10:31.684361Z","title":"Perceptual Quality Assessment of Omnidirectional Audio-visual Signals","venue":"cs.CV","work_id":"7e3c3709-8a2e-4f08-9365-70596075bbc4","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.332372Z"},"links":{"cited_paper":"/paper/2307.10813","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:18482fb759fbfbe4432a284b4b78915c1f7cccdf691f3cc32f488e6a4ac7fa2b","observation_id":"221a0b3e-8adc-4dea-8f7b-62dcdebe7267","resolution":{"observed_at":"2026-08-11T20:10:31.690600Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.288430Z","title":"Acr360: A dataset on subjective 360° video quality assessment using acr methods,","venue":null,"work_id":"5cfd8a23-1080-4df0-ada3-d2733e29db4b","year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.336432Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:f87b0b0764ae89ef8b1b12b8cd82ad11a4840608d3b6590c2ee3132df4348622","observation_id":"351e2c43-27d4-411b-87ef-53c5a5ec6b52","resolution":{"observed_at":"2026-08-11T20:10:32.292652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.275861Z","title":"Subjective quality assessment of stereoscopic omnidirectional image,","venue":null,"work_id":"74ce7b0a-8731-402d-b46d-8d2d3d79e84b","year":2018},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.339960Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:943f1704b7784ef6e0403133d5d92e7f479eae0c862b33b7791c9f922e258aaf","observation_id":"e6748346-cb9d-46de-9edb-a2c7b2079483","resolution":{"observed_at":"2026-08-11T20:10:32.279850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.264132Z","title":"Study of 3D virtual reality picture quality,","venue":null,"work_id":"cfa5ad63-e80b-408a-90ab-f7ec2f85f934","year":2019},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.343720Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:3e22fd16766356a9c0124efad765baa5538affafa4e518a5f2e519490f59fbc2","observation_id":"10ca084b-2d21-4411-9087-e529205c16aa","resolution":{"observed_at":"2026-08-11T20:10:32.268255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.251724Z","title":"3d22 mx: Performance subjective evalu- ation of 3D/stereoscopic image processing and analysis,","venue":null,"work_id":"f71f6b03-5f2d-4235-887e-05f4243fff7d","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.347652Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:d03918dc1c5945f2899ddb91c23a8d091ed651af6ccc6907a47af22ed529a717","observation_id":"26824d5f-04e3-4397-b625-e637bbb535ff","resolution":{"observed_at":"2026-08-11T20:10:32.256074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.238648Z","title":"Subjective quality database and objective study of compressed point clouds with 6dof head- mounted display,","venue":null,"work_id":"c0b1ef9e-12f8-4572-b5b7-68cdeb05788e","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.351126Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:3cb3cc33e38a887e160c25214063de9c17cb4e0c4c2cd4d6b3bc4e4f84088446","observation_id":"3578f277-59d2-4928-a1c3-90a9332b6a5f","resolution":{"observed_at":"2026-08-11T20:10:32.242957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.225451Z","title":"Subjective and objective visual quality assessment of textured 3D meshes,","venue":null,"work_id":"412ed508-760f-41de-aeaa-04d64a77654d","year":2016},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.355149Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:6d85acfa309ea0b6ede03a51df55247801936c30cf825983e5bfc39d5cd152a8","observation_id":"e289eaf0-0627-4f23-bebd-fea0b55ccca3","resolution":{"observed_at":"2026-08-11T20:10:32.229949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.212830Z","title":"Quality evaluation of 3D objects in mixed reality for different lighting conditions,","venue":null,"work_id":"ca956dd6-4fdb-4242-95e6-827739969a08","year":2020},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.358576Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:50a7a86f18d7200dd96fe8f5ce09ef05dee7288722bdf49e14cf3d05ecd28f1f","observation_id":"cce0e522-98d5-4dd4-b979-90acf23629e7","resolution":{"observed_at":"2026-08-11T20:10:32.217439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.200085Z","title":"Towards subjective quality assessment of point cloud imaging in augmented reality,","venue":null,"work_id":"cc5e3644-5bc3-4068-bba2-4de73277b736","year":2017},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.362010Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:d795ea035ea94b6a462c2c3bb41a8223d79bf15a80d92c9266074a71d897f739","observation_id":"61714ae5-1b16-4f31-a41b-78e7de5bad97","resolution":{"observed_at":"2026-08-11T20:10:32.204296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.188282Z","title":"Confusing image quality assessment: Toward better augmented reality experience,","venue":null,"work_id":"76ed3487-8bf9-4db3-a91c-1a61d12e71b2","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.366434Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:3deca68df519d8363222ba734bc41dbfba5a316d694aafd02543a9dd3a01fa4a","observation_id":"fd128616-68c3-4e6d-bba2-78e778fa4803","resolution":{"observed_at":"2026-08-11T20:10:32.192072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.176153Z","title":"Image quality assess- ment: from error visibility to structural similarity,","venue":null,"work_id":"1d0f900f-c4eb-40b1-9c65-e750c3e5b56a","year":2004},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.370073Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:e4e970d2c5054febca3a2c8b3f1fd0235d8262d5506cfff518f3053e960fa73a","observation_id":"05600ea8-55c3-4906-88e1-22ac7354de47","resolution":{"observed_at":"2026-08-11T20:10:32.181073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.163839Z","title":"Multiscale structural similarity for image quality assessment,","venue":null,"work_id":"e5993baa-37f8-4b6f-81a8-44db71d4e9bd","year":2003},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.373695Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:b18d56feadb32c3cf0b6f0e9fb0c081d74f945b0b092a191f8a2cb3c9980e72d","observation_id":"5f33acab-f416-488c-b388-73c846dab25e","resolution":{"observed_at":"2026-08-11T20:10:32.168058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.150900Z","title":"Information content weighting for perceptual image quality assessment,","venue":null,"work_id":"9d25db80-3023-4a40-9b88-2cbdd7350834","year":2010},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.377363Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:62dc40064bb57819905d3b8cd743346e16fab70dd36576c46d5f89b617ed92b9","observation_id":"053d6204-24f6-49df-9323-d5546bc2bc94","resolution":{"observed_at":"2026-08-11T20:10:32.155707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.381030Z","title":"Fsim: A feature similarity index for image quality assessment,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.381030Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:ff65c455dc04bf0d97c53aef155a8892da9e78fd1a8aa4972c1c9cf825d579c7","observation_id":"14953056-0559-4174-a939-f271594d086c","resolution":{"observed_at":"2026-08-11T20:10:31.381030Z","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":"2026-08-11T20:10:32.131585Z","title":"Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks,","venue":null,"work_id":"29f28125-a422-4308-aeea-799c7a55ecb0","year":2015},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.385730Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:aaccf86966a77107d2cd96953a8c56900d25a9f8c66bf89bcda348d206fc0f08","observation_id":"7e9c2af0-a48e-4c6f-b1c4-0e5222b60d14","resolution":{"observed_at":"2026-08-11T20:10:32.136183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.119316Z","title":"Image quality assessment: a sparse learning way,","venue":null,"work_id":"34d11e31-c5be-4e1d-9d0b-81d8a4c5b291","year":2015},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.389492Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:f16ff0e4c19fc58d63a24603729475dd033ee4c53efc245b3a2878f7bbea5b3f","observation_id":"2bd26e50-948b-4aeb-a7d2-3ab8232cb60d","resolution":{"observed_at":"2026-08-11T20:10:32.123353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.106402Z","title":"Deep neural networks for no- reference and full-reference image quality assessment,","venue":null,"work_id":"d27d038d-1d9a-467c-9bd1-0fde8c4c4b06","year":2017},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.393139Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:84e586c0d2728f7e2d43de2dfe4cee0b05864414e7b0b402c4baef9445f439d6","observation_id":"77d9a753-41af-40f2-8b20-c307ef27b3f1","resolution":{"observed_at":"2026-08-11T20:10:32.111323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.094029Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":"15621f71-24b2-4b98-8c22-21aac4d59b9e","year":2018},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.396995Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:00fe6a7a9c5d092dcac1459253dd41b3bc99d6f4e516158c123d97dfef480311","observation_id":"3f49e973-b237-4d42-8e37-f4c74c9b7ad6","resolution":{"observed_at":"2026-08-11T20:10:32.098092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.081217Z","title":"Squeezenet: Alexnet-level accuracy with 50x fewer param- eters and ¡ 0.5 mb model size,","venue":null,"work_id":"d4f0a2ef-1a93-45a1-9cf7-6bce65ba2363","year":2017},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.400839Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:62ab13ec9d384fea416e8b0ed924efc5a36b1fcf8d3ec8a69f4d43de50a3623c","observation_id":"5b07bd4b-a746-47d4-bf0a-0b72607175d2","resolution":{"observed_at":"2026-08-11T20:10:32.085645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.069130Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":"c37e841c-4b4e-4a55-936d-2c01ea51a37d","year":2012},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.404436Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:81ef2a5b978679af2987a173293b59177615d5ad7678af9acb8cce6b6a02befc","observation_id":"f6aebd99-9456-4f39-aa13-34bf32ad1952","resolution":{"observed_at":"2026-08-11T20:10:32.073074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T04:13:35.056640Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-11T20:10:31.408003Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.408003Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:827fbe4c273f190500ab6013511c055ad680aec601bf3740672e1c776fc13915","observation_id":"5cac6acd-1053-4bf4-8c75-ba3e2c4e99fb","resolution":{"observed_at":"2026-08-11T20:10:31.408003Z","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":"2026-08-11T20:10:32.055907Z","title":"Perceptual image quality assessment with transformers,","venue":null,"work_id":"99682f3b-ba15-450e-81c4-e4e3ff2ab4da","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.412248Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:97dd7fb04d55f5875815dd5b3e6361313cf08979b1cf252ca9260ffe38c89fb4","observation_id":"a56c4239-bd2d-4831-8938-4c9e3a96e946","resolution":{"observed_at":"2026-08-11T20:10:32.059872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.043596Z","title":"No-reference image qual- ity assessment via transformers, relative ranking, and self-consistency,","venue":null,"work_id":"db70f584-b63e-4529-aec7-7ddeaabc2456","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.416571Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:82b1682d2931d21ce3b893f9bde314c8652e3e5df6db058f49cfd80f19c78fb1","observation_id":"26c15e52-e411-465b-8a8a-6de569fbebdf","resolution":{"observed_at":"2026-08-11T20:10:32.047957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.030538Z","title":"Image quality assessment with transformers and multi-metric fusion modules,","venue":null,"work_id":"6560e08f-498e-4544-b75e-d2f60aecdbe2","year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.420328Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:23b949f73f6908d83b862afb7e6d098717a1b4c81305a038e055fc3d83ed953d","observation_id":"92aea6cb-73a7-4c19-9caf-beb70032aacf","resolution":{"observed_at":"2026-08-11T20:10:32.035420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:32.016187Z","title":"Perceptual video coding based on ssim-inspired divisive normalization,","venue":null,"work_id":"cbee91d3-e79e-464c-b042-defa29e7bfe6","year":2012},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.423935Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:aa8ea94e068fec7ee3e30270cc566f48768ca7de7f4ebde9dd2ebb19736ad24a","observation_id":"ef4ae526-d435-4b0f-9b25-081efac647f5","resolution":{"observed_at":"2026-08-11T20:10:32.021423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.427947Z","title":"Perceptual quality assessment for multi-exposure image fusion,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.427947Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:0bca677be8ce00615dd0a7b0f7a25384f6c327c7e46d72f594c64336c490f728","observation_id":"0ea8b9a0-b37e-4057-b30f-60cb2dd8cbd2","resolution":{"observed_at":"2026-08-11T20:10:31.427947Z","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":"2026-08-11T20:10:31.994430Z","title":"Automatic contrast enhancement technology with saliency preservation,","venue":null,"work_id":"9553ea6f-fe4b-4cc2-8950-9816ca642c6f","year":2014},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.431875Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:17313f18484b7a6c51e40fd7a38ca2df01ba15737e3bd52469b4512f9cbdfb07","observation_id":"439ff66b-37b3-4931-be0c-297934809ecd","resolution":{"observed_at":"2026-08-11T20:10:31.998494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.981944Z","title":"Image quality assessment based on a degradation model,","venue":null,"work_id":"0d5307b7-5322-4120-87c8-a2ddbe286707","year":2000},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.435985Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:ab84a1827edc3e7b7af54f5ef5f6e94a75594192e87ef60165fe77b9dd1c5be5","observation_id":"4d13a392-403a-401d-aa50-8baa5a0722de","resolution":{"observed_at":"2026-08-11T20:10:31.986145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.969065Z","title":"Image information and visual quality,","venue":null,"work_id":"df8f8969-df96-49ce-a2ed-1c8bfd385446","year":2006},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.439846Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:c3abb8c2d694ad50f924d441e1f395cce104e6c812dea253e2292f7291db9329","observation_id":"8fdf3022-23b4-4c84-9e8d-ecf9d013cf38","resolution":{"observed_at":"2026-08-11T20:10:31.973472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.956238Z","title":"Image quality assessment based on gradient similarity,","venue":null,"work_id":"e5e0ad41-5a8f-4593-9cab-4471409f817b","year":2011},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.443440Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:ee3d79c299384cbf6d4c981429fae05f3d55968a35732221c3526270528184cf","observation_id":"953a3cbd-088b-4816-81c7-428a51c1a2be","resolution":{"observed_at":"2026-08-11T20:10:31.960747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.944911Z","title":"Gradient magnitude similarity deviation: A highly efficient perceptual image quality index,","venue":null,"work_id":"2c81b5b9-26e8-4f08-be13-375953c3ac7a","year":2013},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.447570Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:9cd83e0031544a9e14e3b0b8490556fa09189b4b591001be3fbb6d8d96d22572","observation_id":"238de8da-02d7-495a-b812-92231f67a2b2","resolution":{"observed_at":"2026-08-11T20:10:31.948947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.933098Z","title":"Perceptual fidelity aware mean squared error,","venue":null,"work_id":"31932c33-9402-453e-905e-d9750191308b","year":2013},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.451522Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:54d409c154e8c760865d62cb3d43821103ceb65d3befd429f1107b887793013d","observation_id":"746ab756-ecce-4d10-850e-b62b9a79e471","resolution":{"observed_at":"2026-08-11T20:10:31.937054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.919944Z","title":"An efficient color image quality metric with local-tuned-global model,","venue":null,"work_id":"9b178b55-3074-4574-bba7-ef75ba2f1d9e","year":2014},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.455270Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:cc96e1f3a52c1a8de6311c89560e3ed8ba5003b55e2a3a8d4d6c044d1e6a2b17","observation_id":"13f0cdbe-a2bc-4e26-a7b9-63135b6ef178","resolution":{"observed_at":"2026-08-11T20:10:31.924633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.458553Z","title":"Vsi: A visual saliency-induced index for perceptual image quality assessment,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.458553Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:aa4a410c2666b9b1cad5b544f91f1c6430f85f8828810b66a57458efa897358d","observation_id":"78adf6dc-5d31-4118-b13e-6f7e11df36d3","resolution":{"observed_at":"2026-08-11T20:10:31.458553Z","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":"2026-08-11T20:10:31.899830Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":"39281938-cce7-4fc3-847c-86080570fd21","year":2016},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.462008Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:1aad838dec6b8030e96142bef158f7e4e4f6b03119e126371cf4b83efa4ab2b9","observation_id":"7c50949e-1928-4206-9a70-a33a1f4168ab","resolution":{"observed_at":"2026-08-11T20:10:31.904131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.886992Z","title":"Influence of affective image content on subjective quality assessment,","venue":null,"work_id":"7b7fcfdc-479f-4b59-aa80-00a248507bd0","year":1948},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.465931Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:0a9fdbc857bbdbd68a5f9c4d156b4a3101cd54accedb3e832312b09050e9e4ae","observation_id":"0ac15241-6010-4095-b433-0b38db6e2929","resolution":{"observed_at":"2026-08-11T20:10:31.892114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.874762Z","title":"Do vision transformers see like convolutional neural networks?","venue":null,"work_id":"bd7ebd10-500d-422e-baeb-ef1980283fd8","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.470111Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:56d7cecb3bfda48bc2851a939feae1db5d99e1f8c8b8c738e5739687bc08ca2b","observation_id":"a51df8fd-d8f0-4634-8276-948e62ae5b96","resolution":{"observed_at":"2026-08-11T20:10:31.879206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03426","last_updated":"2020-09-18T01:56:41Z","snapshot_observed_at":"2026-08-02T15:32:07.466568Z","submitted_at":"2018-02-09T19:39:33Z","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03426","snapshot_observed_at":"2026-08-11T20:10:31.473868Z","title":"Umap: Uniform manifold approximation and projection for dimension reduction,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.473868Z"},"links":{"cited_paper":"/paper/1802.03426","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:8a1c6808bc57b7d3549ae39bc2a797a1da050fd6ec0d5f8fb9741141d2f2588b","observation_id":"62e27590-96be-4186-9947-e7ac49267087","resolution":{"observed_at":"2026-08-11T20:10:31.473868Z","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":"2026-08-11T20:10:31.477962Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.477962Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:dfb2abf7d685ac5694899362040cba9e8c8eef63322ad87239d3d36a05062e16","observation_id":"2c3dc101-7af2-4447-9afa-0181fbe8b9ce","resolution":{"observed_at":"2026-08-11T20:10:31.477962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T14:19:26.598265Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-11T20:10:31.481765Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.481765Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:6ef6be7ae605135f3061fd4c486febaf699634cb88203950f4df89712e68e1d6","observation_id":"9ed5536a-3959-4d3a-bb41-de3f8f59ec24","resolution":{"observed_at":"2026-08-11T20:10:31.481765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09355","last_updated":"2023-11-21T13:12:21Z","snapshot_observed_at":"2026-08-13T11:59:47.015424Z","submitted_at":"2023-04-19T00:33:59Z","title":"To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09355","snapshot_observed_at":"2026-08-11T20:10:31.486317Z","title":"To compress or not to compress–self- supervised learning and information theory: A review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.486317Z"},"links":{"cited_paper":"/paper/2304.09355","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:4c96339f798a1667532182c31f1f0cb5fe1770053b6169cadeb81b0eba1663e5","observation_id":"65cbdc03-e893-4c8b-a156-e88ff104c008","resolution":{"observed_at":"2026-08-11T20:10:31.486317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12210","last_updated":"2023-06-28T14:15:22Z","snapshot_observed_at":"2026-08-13T11:56:07.768546Z","submitted_at":"2023-04-24T15:49:53Z","title":"A Cookbook of Self-Supervised Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.12210","snapshot_observed_at":"2026-08-11T20:10:31.490315Z","title":"A cookbook of self-supervised learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.490315Z"},"links":{"cited_paper":"/paper/2304.12210","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:adb6168689ac846f7c8c0086314a91533b343b59acc2fbf2f98534c8a50d161a","observation_id":"cfeb1ae4-fc19-4ad2-a68f-b7966d21f0a5","resolution":{"observed_at":"2026-08-11T20:10:31.490315Z","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":"2026-08-11T20:10:31.854310Z","title":"A simple framework for contrastive learning of visual representations,","venue":null,"work_id":"cebcc9f6-eff0-4a5e-b897-ff8d34920695","year":2020},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.494013Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:bb7534100cf2a86903415c86889f082428278db364f108125ab18f74629754bd","observation_id":"6d9a3a50-8806-4abd-8ad4-7284c1afbf93","resolution":{"observed_at":"2026-08-11T20:10:31.858563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.842481Z","title":"Emerging properties in self-supervised vision transformers,","venue":null,"work_id":"b043ba57-80a3-45f5-aa59-653fa6e7cf49","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.498435Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:8dcf15a3149968cabaf0f218e1b206d099daa3185c291e7a344467f29ff22a8f","observation_id":"e25e7261-c2f7-4cfc-b5e9-5f525d3b05cc","resolution":{"observed_at":"2026-08-11T20:10:31.846940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.828804Z","title":"Barlow twins: Self- supervised learning via redundancy reduction,","venue":null,"work_id":"716751a7-7e34-43a3-bb3b-79e265705ff1","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.502832Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:6a42140e53a8a832c824acce357be28d37312b69c881811084cb48cc898e6b02","observation_id":"d2fba328-cf7f-4f7e-8014-18d33201df4b","resolution":{"observed_at":"2026-08-11T20:10:31.833854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.04906","last_updated":"2022-01-28T12:23:37Z","snapshot_observed_at":"2026-08-12T14:02:29.797842Z","submitted_at":"2021-05-11T09:53:21Z","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.04906","snapshot_observed_at":"2026-08-11T20:10:31.506343Z","title":"Vicreg: Variance-invariance- covariance regularization for self-supervised learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.506343Z"},"links":{"cited_paper":"/paper/2105.04906","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:cbfec5c1ab9cedd50f8dba7f46de0169895786b62de0d03c5e58465fcb69997e","observation_id":"e00b443f-20ad-4a60-8fe0-2c94b0118a64","resolution":{"observed_at":"2026-08-11T20:10:31.506343Z","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":"2026-08-11T20:10:31.815054Z","title":"Exploring simple siamese representation learning,","venue":null,"work_id":"5d1897d2-2844-4379-87d5-976a975a081e","year":2021},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.510569Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:b107664be7cd92d4b05087b0c5473bc184a05c500eb38c66983880b8db99b1d2","observation_id":"0b493d68-5d89-4908-a823-6658ad0dbaef","resolution":{"observed_at":"2026-08-11T20:10:31.820451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.514129Z","title":"Regularization and variable selection via the elastic net,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.514129Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:67023af115bc56f86062c6a1630bbf909aa008cde4b259d89699b4fd4789c659","observation_id":"dd8d8152-2b80-4e2e-9803-33f5cc575a0d","resolution":{"observed_at":"2026-08-11T20:10:31.514129Z","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":"2026-08-11T20:10:31.792184Z","title":"Robust estimation of a location parameter,","venue":null,"work_id":"27068aef-ce38-432b-b276-059023d2d61c","year":1992},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.517868Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:7ae5e80c29ef5bf332f0c3872c71b51119d1ed32b52355ff907143ce29a42f16","observation_id":"883d6138-0103-4ca4-8a64-bcd2dea53ad6","resolution":{"observed_at":"2026-08-11T20:10:31.797167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-11T20:10:31.521414Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.521414Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:cd4318835d063b14ccafcf285092b3a1d7d17a50c89ed50eeb1e52f1b429930b","observation_id":"23273fc8-2497-4e0d-98c8-8191ae662d51","resolution":{"observed_at":"2026-08-11T20:10:31.521414Z","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":"2026-08-11T20:10:31.778832Z","title":"Mean deviation similarity index: Efficient and reliable full-reference image quality evaluator,","venue":null,"work_id":"2c14ef91-853b-485a-8427-540f4facce77","year":2016},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.525423Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:8ecf0a54b24674b37a540dea404e0145cbcb710001d4c785514ca5517c0fa6b3","observation_id":"4570e3a5-4b6a-4d89-aabf-b1fd52fef5e9","resolution":{"observed_at":"2026-08-11T20:10:31.783368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.764871Z","title":"Image quality assessment based on dct subband similarity,","venue":null,"work_id":"c825dc80-8d8b-4e23-8491-df4979016123","year":2015},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.529153Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:847ca679ab32156fd16fd5215a266905ee2b6474aa6cf385dff4088c03a9151e","observation_id":"aa6aa0e2-d6cb-4e29-93f2-bae86cb55014","resolution":{"observed_at":"2026-08-11T20:10:31.768952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.750998Z","title":"A Haar wavelet-based perceptual similarity index for image quality assessment,","venue":null,"work_id":"91c31db0-a460-4311-aba8-9c527334e3d2","year":2018},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.532754Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:40b4e7140bc92c9322eae22098a90e9c709864f08b05f673c26ab21a307e1b41","observation_id":"b00446b3-77ab-4ed7-9a8a-9c11f0f5d4c5","resolution":{"observed_at":"2026-08-11T20:10:31.756405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.738602Z","title":"Sr-sim: A fast and high performance iqa index based on spectral residual,","venue":null,"work_id":"ccb26958-4e2b-41d0-a371-745aa3faa551","year":2012},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.536216Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:89b8c3d3a33ffc806886b1b3c13bd2f9e21cda144f3dfdb2df44657ccd273e30","observation_id":"1fb12488-2749-4023-a789-d035b64e3be0","resolution":{"observed_at":"2026-08-11T20:10:31.742880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.725594Z","title":"Towards light-weight transformer-based quality assessment metric for augmented reality,","venue":null,"work_id":"09dfe8e2-a621-4710-8146-5a8d7e95816f","year":2024},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.539929Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:e4a8fc5aeb628a73f6fab0acfef3ef655b297c317ffdf4b92f265a5d053b5c72","observation_id":"8582d280-5fa6-4b5a-9d5c-e16c0bed42df","resolution":{"observed_at":"2026-08-11T20:10:31.729637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T20:10:31.713701Z","title":"Libsvm: a library for support vector machines,","venue":null,"work_id":"35a5a9c2-ba01-4f3c-a1a1-5cbb69d6c92e","year":2011},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.543705Z"},"links":{"citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:22880977c48c74068b29a084323cc33b3d266a7a4fbd3ae3ffa7015fa17e0f77","observation_id":"16f9b107-8d37-4d95-993b-0ff42e820554","resolution":{"observed_at":"2026-08-11T20:10:31.717845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.14818","last_updated":"2022-08-31T12:37:30Z","snapshot_observed_at":"2026-08-13T16:59:43.253126Z","submitted_at":"2022-08-31T12:37:30Z","title":"PyTorch Image Quality: Metrics for Image Quality Assessment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.14818","snapshot_observed_at":"2026-08-11T20:10:31.547332Z","title":"Pytorch image quality: Metrics for image quality assessment,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T20:10:31.547332Z"},"links":{"cited_paper":"/paper/2208.14818","citing_paper":"/paper/2412.06003"},"observation_digest":"sha256:622222fd5e2f8d8be3114ff8c4f60b82efa82d5e1d2578120bee63c2b71ba11e","observation_id":"deea3032-b637-42e0-89e3-a5466ca653c0","resolution":{"observed_at":"2026-08-11T20:10:31.547332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.06003","last_updated":"2024-12-08T17:25:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T03:19:29.667269Z","submitted_at":"2024-12-08T17:25:30Z","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation"},"reference_resolution":{"displayed":71,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":55},"total_outbound_references":71},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2412.06003."}