{"as_of":"2026-08-10T07:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8039885a4f23ad66afd79ad17aff3edffdcc3e3c7a68d538fd3b8be249e78ce2","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T19:08:00.806396Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2604.04576/citation-record","integrity":"/paper/2604.04576/integrity","json":"/paper/2604.04576/citation-record.json","paper":"/paper/2604.04576"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Map-free visual relocalization: Metric pose relative to a single image","venue":null,"work_id":"558896d9-d64d-4ed9-8cc2-6259845d8afe","year":2022},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:fa409f052dcb1c818ba76395b10a31c586bd9fc26765c3e62876b8bb12203290","observation_id":"6cb3a87f-906f-4c59-bd1d-58ae88817151","resolution":{"observed_at":"2026-05-16T08:50:47.385557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MET3R: Measuring multi-view consistency in generated images","venue":null,"work_id":"7e279d4e-eba7-4631-a3cd-58dcf8ad1ddf","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:7c77079f8bbf9e18cba2d0aa845758b6d5d53d656fff0c0f7d838ae912b6ba36","observation_id":"cf5e40db-e35e-4e9d-be2c-e5b7331116e9","resolution":{"observed_at":"2026-05-16T08:50:47.364574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Free360: Layered gaussian splatting for unbounded 360-degree view synthesis from extremely sparse and unposed views","venue":null,"work_id":"4f9dbe50-8c51-48fd-9e50-e8e27e834088","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:9feb58ada2186632fa6ea56e620ffc651764b2bd2f15e62d09f46cb15a0c4117","observation_id":"393e1026-2d5f-4a78-a045-f09817dd6cc9","resolution":{"observed_at":"2026-05-16T08:50:47.346326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Barron, Ben Mildenhall, Dor Verbin, Pratul P","venue":null,"work_id":"aea4c65b-4126-4adc-b3ec-a3b11bd9aabf","year":2022},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:6ea52a231477e3ade393ac40307efc98e7084cad08727754013f9fcb1dca3889","observation_id":"617c1fe8-d017-44b0-8c82-e95c5491b848","resolution":{"observed_at":"2026-05-16T08:52:38.206424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19518","last_updated":"2024-12-27T08:19:34Z","snapshot_observed_at":"2026-08-07T21:34:45.746806Z","submitted_at":"2024-12-27T08:19:34Z","title":"Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images","version":1},"cited_work":{"arxiv_id":"2412.19518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.19518","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dust to tower: Coarse-to-fine photo- realistic scene reconstruction from sparse uncalibrated im- ages","venue":null,"work_id":"c11e010a-6ecc-4d78-a2aa-8daa21d8a3a7","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"cited_paper":"/paper/2412.19518","citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:edfc8ed0c4cf2777d157a4058a4424acdfa4f4fe274ac38902ddf4b92c9ce948","observation_id":"a1de7600-4ee0-415e-ad9b-456cbf48f4f2","resolution":{"observed_at":"2026-05-10T23:30:48.856770Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"PKD: general distillation frame- work for object detectors via pearson correlation coefficient","venue":null,"work_id":"f4935686-b125-4ca6-ba0c-34108304d500","year":2022},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:d3126ca951485f1e6d9d0f47035a01e768aa9f48c2317a2f390ccc990d253c2a","observation_id":"315eb7b6-d5d2-4d48-a123-a7f476cab349","resolution":{"observed_at":"2026-05-16T08:52:38.202146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Emerg- ing properties in self-supervised vision transformers","venue":null,"work_id":"4d4d2005-7212-43fa-95c6-18464327574e","year":2021},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:611004193f163b918ed35e3b272e93267aa7cf0146691f277426dcefb349d488","observation_id":"233eb754-edfc-433f-9ed8-b27e46ffe329","resolution":{"observed_at":"2026-05-16T08:50:47.434990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Re- gion filling and object removal by exemplar-based image in- painting.IEEE TIP, 13(9):1200–1212","venue":null,"work_id":"a2a406c5-c599-41d2-8c97-7085f027fca4","year":2004},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:426d93bee87bf48a2a4d5ce5567bb52b102cf71727ba53b688fb8717b17e4688","observation_id":"a62da398-a462-4dfa-b6bf-e2b5f265928d","resolution":{"observed_at":"2026-05-16T08:52:38.208828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generalized jensen- shannon divergence loss for learning with noisy labels","venue":null,"work_id":"9034129b-684e-4e77-bf6d-39f89a0a6371","year":2021},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:613facfc9f37d4a46205b2731faae9e5a510ba47ecafc016f03d3d3fc72c5c27","observation_id":"8685ff9b-793f-4da9-acfa-f6c5c8d25e25","resolution":{"observed_at":"2026-05-16T08:50:47.513800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"748fdcd1-a7ea-4264-a932-06af35338acc","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:a5511373c26cb9d6f6cd74da9b721b75c5ed203a172d082be5e76d4a4a5556e5","observation_id":"22ba3cae-d526-4785-a703-683536f41749","resolution":{"observed_at":"2026-05-16T08:50:47.508238Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-06T11:32:22.378602Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"489ff65e-fbed-4844-b013-17245f02b106","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:251e3fa6bf41cf1505474a71b4e4c31363cc477ebbaef61ed9bd1240e60978b7","observation_id":"c499dd9d-0c1d-47c0-b452-8e9c4efb77fc","resolution":{"observed_at":"2026-05-16T08:50:47.417189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gaussian error linear units (gelus)","venue":null,"work_id":"09beef1d-71b4-4892-8564-88c84a6cc3fa","year":2016},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:21ba835375f8633980cbe09158708f2ad1805fcfe88e01735803e80a0ae200b3","observation_id":"7e8bd30c-c4f5-45df-90a5-99b315cd24b2","resolution":{"observed_at":"2026-05-16T08:52:38.204260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Puzzle similarity: A perceptually-guided cross-reference metric for artifact detection in 3d scene reconstructions","venue":null,"work_id":"a7505e8e-b840-4f28-858d-146c9a80697f","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:eaa111e440ff21d9f5408cb00c13b7f6916bd91866606ba3393e06694f0bf013","observation_id":"2709c0f8-e61f-4344-a6c6-ee6d7b50086c","resolution":{"observed_at":"2026-05-16T08:50:47.480801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-07-09T08:16:06.360207Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"3b7528e0-76f2-4623-adb7-1afa4ce6cb5b","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:9718e4648eb25827ec53b8d8db515537bf668505bd5769a6f766e5aa958ba06b","observation_id":"ae703047-291c-460b-9724-b9bccecdc54b","resolution":{"observed_at":"2026-05-16T08:50:47.483939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"LoftUp: Learning a coordinate- based feature upsampler for vision foundation models","venue":null,"work_id":"8e3c2862-d7c6-4690-9449-de4462e6f4a5","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:1ae3499ecd650e1c390e176dac6659af9c0764ed1fa843b7a89205b2be19274c","observation_id":"cb2e915b-e857-427e-8b5e-af6591fba47b","resolution":{"observed_at":"2026-05-16T08:50:47.486631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3D gaussian splatting for real-time radiance field rendering.ACM TOG, 42(4):139–1","venue":null,"work_id":"8487626e-8e3d-4966-af16-5daa311338f8","year":2023},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:6a5f50a0234087514339ba80640ff4accf5f2aa8710c2834ff90a7c36f031bbe","observation_id":"676392cb-4832-44db-9453-ddc4c084942b","resolution":{"observed_at":"2026-05-16T08:50:47.496642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pick-a-pic: An open dataset of user preferences for text-to-image generation","venue":null,"work_id":"5924b5b1-cfba-4112-ae39-6db4947d4274","year":2023},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:b2c3500c21bdaf28310e8274b285f403e7a93d150aa8328365534620710e40d5","observation_id":"073090dc-406f-46b2-8bb4-ed6950f08549","resolution":{"observed_at":"2026-05-16T08:50:47.438955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tanks and temples: Benchmarking large-scale scene reconstruction.ACM TOG, 36(4)","venue":null,"work_id":"b9ecbf8d-a0d9-4f92-bc5d-1b0f44f1ad22","year":2017},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:edae459405e71434cc1579e2d25a0feb289a667d10db4e0836038b829b31f708","observation_id":"fa7c56bc-6866-4773-9c46-1d81c53bf659","resolution":{"observed_at":"2026-05-16T08:50:47.473469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zero-1-to-3: Zero-shot one image to 3D object","venue":null,"work_id":"a288ed2b-3a8c-4356-adf1-41e5713b2c1b","year":2023},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:79c2df1cbd38ad0e0daabe0796dba78792733cb45db2583ed3ee3804a622c628","observation_id":"9410c8bb-4959-414c-9972-b27a50814fb0","resolution":{"observed_at":"2026-05-16T08:50:47.468180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deceptive-NeRF/3DGS: Diffusion- generated pseudo-observations for high-quality sparse-view reconstruction","venue":null,"work_id":"86605809-2e79-4df0-8e98-7b25e4678032","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:4263818ecb83f0f05b017f998debe4feb723c5d8ec657089d03085fcbd7604ff","observation_id":"4aa8b4db-736c-442b-9ba8-49ee51baa394","resolution":{"observed_at":"2026-05-16T08:50:47.476739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Text-guided texturing by synchronized multi-view diffusion","venue":null,"work_id":"8580b6a2-07ce-468e-b78b-bfa8aa0cbe89","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:496478e1c2f02e715a9769be0c06fb0923aa9df3c6fca5d47e2ac5d32670b0ea","observation_id":"580d6420-f307-4755-92f3-122f8936c24f","resolution":{"observed_at":"2026-05-16T08:50:47.458707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SGDR: stochastic gradient descent with warm restarts","venue":null,"work_id":"371e56f3-a3c6-4ecf-b13b-decbf2371478","year":2017},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:7edce434c95612d067be018c706e74a04d44d6f45afba8fc9274344281a67132","observation_id":"01f0d440-9875-4a37-9abd-2ff106659687","resolution":{"observed_at":"2026-05-16T08:50:47.460623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":"2bd0220b-fb04-4840-b7ef-c6417b87da59","year":2020},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:1d7e46e4c0fe23e52b265f6d5bc3c975a61a06d9aa8a5de3b273d912da75deea","observation_id":"d1c51816-a97a-4436-a1d4-22307361394e","resolution":{"observed_at":"2026-05-16T08:50:47.454844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"No-reference image quality assessment in the spa- tial domain.IEEE TIP, 21(12):4695–4708","venue":null,"work_id":"49b441ad-0c75-4296-a9df-f9433552f65f","year":2012},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:6844360acbf3f660b32df448245d09b13cdd462829824781cad48441e167e429","observation_id":"9ef46ae6-4bf2-4322-bc5a-aa31be39f3d6","resolution":{"observed_at":"2026-05-16T08:50:47.489468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Barron, Ben Mildenhall, Mehdi S","venue":null,"work_id":"2eb29289-47ac-4d31-b1fe-c4e64f8b4dd8","year":2022},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:04cc576d3aeaf439d7b7b1460af525c39a8a507f87f0d8e3aea7113947cf8ed1","observation_id":"42e9d7d4-ddca-4ed0-a178-fe5f117b889b","resolution":{"observed_at":"2026-05-16T08:50:47.498619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"DINOv2: Learning robust visual features without supervision.Transactions on Machine Learning Re- search","venue":null,"work_id":"5059a9f5-b5ac-4c25-98da-905ed074f8f7","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:dbd66ee9b215308b915443b3ae5e1bdad3c5b6d0b35dba18f241c8115d2113c2","observation_id":"ecae46d4-90d2-46ac-b5d3-97c4cc8d4f61","resolution":{"observed_at":"2026-05-16T08:50:47.470270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"09331075-0f9a-41c1-bb03-ec20df7af5ad","year":2016},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:3bb7ba87368a383ea9a0e874db16c34f76323a2e75ec68983a5020f219c9f489","observation_id":"2d833fbf-847e-4318-968b-43d97fec5ac2","resolution":{"observed_at":"2026-05-16T08:50:47.492200Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gen3C: 3d-informed world-consistent video generation with precise camera con- trol","venue":null,"work_id":"bb5b3b2e-ebc0-436b-a2f0-ac53e98efe98","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:8f694010865c7308e5297f1d9f1df807abd2d9ae9c52d807edfd2ed06af03fc2","observation_id":"0d1ac914-ebb3-4198-a2b7-ca0e51c5ad75","resolution":{"observed_at":"2026-05-16T08:50:47.504643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":"f129990e-7661-4fdd-803d-905086b1cb1a","year":2022},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:79aaed352f92bb61b91d8185a77ed7aee6e8a0752a6fd8d21ea1416d3eccfc53","observation_id":"6533cf4e-90fe-4b31-97f1-a51c30a6dd5d","resolution":{"observed_at":"2026-05-16T08:50:47.448827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"5ece7a3d-f2d0-4f4b-96ee-0de226e51a74","year":2015},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:9970607ef67d3b1440a9d1719e433f945ee56dbafaf5399bfe53af1ac5140320","observation_id":"74d305e7-ccfe-40d0-b3b8-526a3bcc3ade","resolution":{"observed_at":"2026-05-16T08:50:47.427795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Denois- ing diffusion implicit models","venue":null,"work_id":"1176f9bf-91d1-48fa-9353-2a13913825b7","year":2021},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:cf1bfdc6fa578384471d0e12abccba4f02636ffed7d337444bc5d0202463642b","observation_id":"efa3a20b-6bd5-471f-9c03-5b3ff2a39cf0","resolution":{"observed_at":"2026-05-16T08:50:47.433589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MVDiffusion: Enabling holistic multi- view image generation with correspondence-aware diffusion","venue":null,"work_id":"9b6687a5-f0d8-44dd-8556-6a5f2757fdf1","year":2023},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:752ac6c0ad45fd5002b543773bb3b0bdc01effc8a389fefad3477169a05f50a2","observation_id":"fb9db18d-d8e5-4536-955a-5036754d0da7","resolution":{"observed_at":"2026-05-16T08:50:47.506552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MVDiffusion++: a dense high- resolution multi-view diffusion model for single or sparse- view 3D object reconstruction","venue":null,"work_id":"5f106791-8bce-473c-9cd0-270b19fb840d","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:3416cdcaa47210de216b5676a9f2bffb4782a2b79fe5fda280489ac329b2a819","observation_id":"388a9e60-643a-43b3-8a44-4d5e23e4232c","resolution":{"observed_at":"2026-05-16T08:50:47.440901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gomez, Łukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"dbf6e1e6-fbd4-4633-b011-e5d573c32d85","year":2017},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:31059a40a1fc52e323c77aeea8bc2ecbdc0c8f73ccd2cde132da3620a97b949f","observation_id":"2a06b769-f5cb-4230-b020-a34a01047fcb","resolution":{"observed_at":"2026-05-16T08:50:47.451070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Praneeth, S","venue":null,"work_id":"1903fac1-5a25-4bdb-97e7-b4eccf706f6f","year":2015},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:e3fa08291af6901248a51523ea1beefcd775bcdeb8d83a6d467f24a04551129e","observation_id":"217f6d91-0635-4418-a76b-fe7617bb0e60","resolution":{"observed_at":"2026-05-16T08:50:47.510000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"VGGT: Visual geometry grounded transformer","venue":null,"work_id":"c36037f1-bacd-47e6-bb5f-7cb4bbb5fa2e","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:f3c616b088f86d7ad97be79cabdbacdd1e74d93733626917995fc5d292617f06","observation_id":"3c021a03-5367-4b7f-892e-d02e85df3a10","resolution":{"observed_at":"2026-05-16T08:50:47.437021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"DUSt3R: Geometric 3D vision made easy","venue":null,"work_id":"1f8b7303-fd99-4051-b03f-04f5a34f4e4d","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:f2149a07d72207f4cc6ead6deefb9672dfddeab0f2a2d632b47a629fbc84d0af","observation_id":"e505fce0-0737-498f-89d6-04776997631b","resolution":{"observed_at":"2026-05-16T08:50:47.446644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bovik, Hamid R","venue":null,"work_id":"69a01307-3098-4002-be28-61322778a025","year":2004},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:f0c21c0e628c76588e34c5023421566cadf67e05962c82bdee89f9e39090f5fd","observation_id":"f6e04c4a-280f-4ce5-9b2f-1eff015b429c","resolution":{"observed_at":"2026-05-16T08:50:47.442639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CrossScore: Towards multi-view image evaluation and scor- ing","venue":null,"work_id":"0f068b1c-6ef1-4f87-950a-c4c2a22d7aeb","year":2024},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:f1f603a2862bbdd7863bdc37580139a11e06b5c1de0af28b98ebb54fdbfcbfd2","observation_id":"afcaaa70-1a8a-495d-9f71-c9a4beae00e6","resolution":{"observed_at":"2026-05-16T08:50:47.423267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.19844","last_updated":"2025-06-24T17:59:15Z","snapshot_observed_at":"2026-08-06T22:59:12.758040Z","submitted_at":"2025-06-24T17:59:15Z","title":"Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment","version":1},"cited_work":{"arxiv_id":"2506.19844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.19844","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Active view selector: Fast and accurate active view selection with cross reference image quality assessment","venue":null,"work_id":"517d0acd-ffc0-4fb0-a5df-8b17dc1ef6a4","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"cited_paper":"/paper/2506.19844","citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:651fd4d1fd098b6e9b8cf02d14f1949c462fc9a46568d9e8847d874c11e13f52","observation_id":"626311fb-ae47-42b1-8a12-198b7bad6bee","resolution":{"observed_at":"2026-05-10T23:30:48.874730Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Novel view synthesis with diffusion models","venue":null,"work_id":"5c50e700-cddd-4471-a9a4-4e3ab8b3e939","year":2023},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:4eade566af9bcb9474f3680d8eec176394b5726a704eff6a7ca5179939c8ea59","observation_id":"a115b5ab-8422-4a7d-ae12-e3dcea2c077b","resolution":{"observed_at":"2026-05-16T08:50:47.500626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CBAM: convolutional block attention module","venue":null,"work_id":"4cc5e1c0-bb4f-4744-8f1f-1361ee85cfcf","year":2018},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:c08ff778840a0ca78e6ebe08c99d94d2718582640d5d984838512ec50c8a90fe","observation_id":"23484924-9729-47bd-bb71-575e1b3daf1d","resolution":{"observed_at":"2026-05-16T08:50:47.425622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"DiffusioNeRF: Regularizing neural radiance fields with denoising diffusion models","venue":null,"work_id":"5fc47f90-53eb-4e2b-8b19-a9ca04c5d721","year":2023},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:b5e4c7d898ecba04480cde5e27239b6ad90a2094e3c04fcb75e6af4fae03c2a5","observation_id":"d4ad55cd-e6f8-49b6-964c-c95647746465","resolution":{"observed_at":"2026-05-16T08:50:47.502627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From patches to pic- tures (PaQ-2-PiQ): Mapping the perceptual space of picture quality","venue":null,"work_id":"dae1b8b7-6695-4dba-b1c8-63083169a800","year":2020},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:d1f4e9401c29622fee63a821f9179059951d16ea5d5d7a78c63f19c55ac7f7e3","observation_id":"6c935afe-d099-4443-aa3c-fc913f2129f7","resolution":{"observed_at":"2026-05-16T08:50:47.419623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Freeman, and Jiajun Wu","venue":null,"work_id":"360bc6a6-de55-43c5-90b3-80c27bdfcd14","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:22bec8cc384d9ac221d140faa4aac66b32359eb5a97118a16b1ea67bd126b2fd","observation_id":"b5e9ed5d-1ee6-4dae-9d95-3f5842dcee16","resolution":{"observed_at":"2026-05-16T08:50:47.421386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ViewCrafter: Taming video diffusion models for high-fidelity novel view synthesis.IEEE TPAMI, pages 1–18","venue":null,"work_id":"3938c444-90b7-49bb-874c-249e3c9ce703","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:80b90b05c69c9f258a6be36b24e59fa12a89b55f6c05b713de7f8fe7b1b3989b","observation_id":"ff3764eb-22c9-4322-ba11-8995ca20854b","resolution":{"observed_at":"2026-05-16T08:50:47.429817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Perceptual artifacts localiza- tion for image synthesis tasks","venue":null,"work_id":"a37c6822-eb2b-4665-8776-fa132020dc9a","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:0ed5db17d76913b0dcb77b38ff873cfef908cd238a7610cdc2ae8b13657047f4","observation_id":"60ee6844-bbfd-4f5f-a969-2075104ed7cd","resolution":{"observed_at":"2026-05-16T08:50:47.435299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efros, Eli Shecht- man, and Oliver Wang","venue":null,"work_id":"69eb210c-6f8e-4dd6-89cf-9894c1f40cbb","year":2018},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:2dd749abc929b0b8b33a7a0d489805839502f71ca098ea3f77b03c6e34c0cc86","observation_id":"317709ba-561a-4604-8f49-d5e336abdd4b","resolution":{"observed_at":"2026-05-16T08:50:47.431707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stable virtual camera: Generative view synthesis with diffusion models","venue":null,"work_id":"f7930f9f-a4a3-4d82-b4d3-1aefe7d2142c","year":2025},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:172f56d7f1a6b08c6ca5f103c3d4e1ecf4106403fe1fdab1973ef8ef9eac896d","observation_id":"8dc005a5-7b89-4e0f-a801-d5e7e6546a80","resolution":{"observed_at":"2026-05-16T08:50:47.464224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stereo magnification: Learning view syn- thesis using multiplane images.ACM TOG, 37(4)","venue":null,"work_id":"22a374e6-04d2-4a71-8684-72eb7464ce6f","year":2018},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:ca574f195ba1565a5c753a2cd295d22ac07948e7bca20974c09446666c275b5b","observation_id":"ae8480f2-beef-46c0-9b67-11fc073688c9","resolution":{"observed_at":"2026-05-16T08:50:47.466312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Architecture Details As illustrated in Fig","venue":null,"work_id":"a85e874f-ed01-4db1-9f21-6af7f39431d7","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:37ec0cda299d46c20a1502b1749c7c94bc3d7fb45d9458671e3aba912820e01d","observation_id":"943539aa-1976-4c4a-98e5-302e3f029d06","resolution":{"observed_at":"2026-05-16T08:50:47.452935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Training Data Generation Frame Sampling.We utilize the Map-free Visual Relo- calization (MFR) dataset [1] as our primary source","venue":null,"work_id":"4d25a30e-14de-4be0-a592-9d2b6978ad0e","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:84710b56aad8d8ac3e2370679684d11cd6c096d2c750739b35501156825938ed","observation_id":"08eb7b65-ee82-4706-8ab7-cadd6f5f4491","resolution":{"observed_at":"2026-05-16T08:50:47.456851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f32e0704-2250-466b-9772-d859bc08ded6","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:cbbc546ece8c3602d97912f3eb6b7757df8ca5e619fe99aeabaa90622dba50b3","observation_id":"91279025-06b7-4ac6-b9ad-557b61730bc6","resolution":{"observed_at":"2026-05-16T08:50:47.462358Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5090.40616","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"w/oL JSD","venue":null,"work_id":"ac60e99a-a325-400a-89fc-ad94023e49ed","year":1950},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:edd16f78fa836bd192b999877ddb0b5a1d078117425b4e1d63dfd59f37a2aa03","observation_id":"705fb2df-95af-4206-a500-ed2a59982471","resolution":{"observed_at":"2026-05-10T23:30:48.866034Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quality- Aware 3DGS Training","venue":null,"work_id":"17ab3238-3564-4ea9-98df-cac0d6fe83cc","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:087a55024c9575725a8be0992270ae5b362588d5e2fa5d6ed74441d0dc13a808","observation_id":"8497d2cb-5594-4651-8886-61f996500c70","resolution":{"observed_at":"2026-05-16T08:50:47.494263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"More Qualitative Results for Quality Map We provide extensive qualitative comparisons on scenes not featured in the main manuscript","venue":null,"work_id":"1277b5dc-1aed-4878-9c24-30d597fd573e","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:e4fd55dbae6b3ae4bc72f2b5eba08c24c0b3ece468e5325cd73ea477ee3e2930","observation_id":"aee9afa2-2981-41d9-9ca2-6207b439a4e9","resolution":{"observed_at":"2026-05-16T08:50:47.511827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"First, PR-IQA is currently trained using pseudo-GT quality maps derived from FR metrics, specifically DINOv2 feature similarity or SSIM","venue":null,"work_id":"5a5db6bb-c5b1-4ccd-8b8a-1b8b05345545","year":null},"citing_paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:00.806396Z"},"links":{"citing_paper":"/paper/2604.04576"},"observation_digest":"sha256:d489ab2238f97af5dc624715ce89564ae814484862c706d600e48b3297f6c629","observation_id":"a617a9d8-d254-4aa9-bd32-e9a5bdab389a","resolution":{"observed_at":"2026-05-16T08:50:47.444546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.04576","last_updated":"2026-04-07T02:30:59Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T20:41:25.222339Z","submitted_at":"2026-04-06T10:17:41Z","title":"PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":2,"verified_fuzzy":51},"total_outbound_references":57},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.04576."}