{"as_of":"2026-08-08T09:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8a7f1510eda22c8f050776feba6a7745f862ff06df3faceb09553f438fe78ef","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:41:25.112089Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T08:19:32.285046Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04641","snapshot_observed_at":"2026-08-04T08:19:32.285046Z","title":"Text-aware real-world image super- resolution via diffusion model with joint segmentation de- coders.arXiv preprint arXiv:2506.04641, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.21590","last_updated":"2026-08-03T06:53:36Z","snapshot_observed_at":"2026-08-06T23:28:48.341710Z","submitted_at":"2025-10-24T15:59:04Z","title":"Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T08:19:32.285046Z"},"links":{"cited_paper":"/paper/2506.04641","citing_paper":"/paper/2510.21590"},"observation_digest":"sha256:58ac035d777ed439a57b46ee4015256077b347bae3dcad50430cb8fe7555eca7","observation_id":"c00f79ab-8327-4421-93b3-bb8b8a4f2a82","resolution":{"observed_at":"2026-08-04T08:19:32.285046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.04641/citation-record","integrity":"/paper/2506.04641/integrity","json":"/paper/2506.04641/citation-record.json","paper":"/paper/2506.04641"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:31.306373Z","title":"Ntire 2017 challenge on single image super-resolution: Dataset and study","venue":null,"work_id":"a453524a-c8f3-454c-991b-6771d3ec3d90","year":2017},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.294870Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:d49ed5bb8b5bcfa136722cfdcafc1d9c9b0a7360cc3d2f4b55f4468e9144cc2d","observation_id":"1c82bddb-19cc-4d8b-9d04-810616d45092","resolution":{"observed_at":"2026-08-07T10:41:31.438568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:31.073964Z","title":"Scene text telescope: Text-focused scene image super-resolution","venue":null,"work_id":"006f6948-6fb4-4537-aa75-843960778067","year":2021},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.397204Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:9a4e4d5b3d2b104b9abc9615f591ded636ed8759db04338161363f5a71fea6ad","observation_id":"7007d6d1-4a9d-476b-aee7-8d6e9d7181a1","resolution":{"observed_at":"2026-08-07T10:41:31.135566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:30.901385Z","title":"Benchmarking chinese text recognition: Datasets, baselines, and an empirical study.arXiv preprint, 2021","venue":null,"work_id":"aaf983a2-1411-4350-afe4-cf77b30084a6","year":2021},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.574422Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:6f7b7c9f429b81d27cd8cee70ba4c0c74eb8bd17a94056fdc7020bcaf0e30ab3","observation_id":"edb38a01-1b6c-4b8f-91c9-c15bca74b130","resolution":{"observed_at":"2026-08-07T10:41:30.984173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:30.710571Z","title":"Activating more pixels in image super-resolution transformer","venue":null,"work_id":"308096d3-8df5-4409-a44d-a7728b1f92f1","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.705255Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:4fc526bbe2168ef7a2e8bdc66077e4018e32081c0ee25b479be5fae3e909118f","observation_id":"4ee5a525-94d4-4c2d-b465-a60bcb7d701e","resolution":{"observed_at":"2026-08-07T10:41:30.788037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:30.496941Z","title":"Learning a deep convolutional network for image super-resolution","venue":null,"work_id":"a73dbb20-fcd3-4cd8-9a23-734490f6eb82","year":2014},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.769004Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:2048dd65bae0376619d09a6d37571095228a312c39ff1eec5c46e28075422bef","observation_id":"c0219691-e76f-4620-88a9-b1be33514a7e","resolution":{"observed_at":"2026-08-07T10:41:30.575520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:30.305508Z","title":"Boosting optical character recognition: A super-resolution approach.arXiv preprint, 2015","venue":null,"work_id":"a33d8b5a-c4a0-4d8d-b537-262999a96ad2","year":2015},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.822999Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:a1299684aa11b30b537a4c33da70a36cd01c4284f4e3f2062e43db36054f3f97","observation_id":"c6cf823c-b7da-4441-b482-e56888fe7c78","resolution":{"observed_at":"2026-08-07T10:41:30.413977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:30.159319Z","title":"Pp-ocr: A practical ultra lightweight ocr system.arXiv preprint, 2020","venue":null,"work_id":"bd0e7988-360b-4cc3-90e0-8ba96f19ef50","year":2020},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.900615Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:f05dc74d4ffa7d86d391d338dbc93a9bb6997afb0e76b6e4ee2085e6ff046056","observation_id":"1af08da5-1c1a-4471-bd2a-837027a11fe9","resolution":{"observed_at":"2026-08-07T10:41:30.234715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:41:21.947292Z","title":"Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural networks, 107:3–11, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.947292Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:c220bafff477c16a77216d00cb83b4b0649bb67db3df1e6bec6ad581dab7e0c5","observation_id":"95914a3e-6031-4d5f-92dd-7cfa4da65430","resolution":{"observed_at":"2026-08-07T10:41:21.947292Z","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":"2026-08-07T10:41:21.988501Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:21.988501Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:6b7a67313e4bcf8dbd46501f4c9219a5145f2661fcc13ca7743b4a5b664370db","observation_id":"1c917796-f0ac-4007-b089-af3ecc94bec7","resolution":{"observed_at":"2026-08-07T10:41:21.988501Z","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":"2026-08-07T10:41:29.980575Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 30, 2017","venue":null,"work_id":"6a484c75-530d-45fb-897b-9610556b5e23","year":2017},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.044624Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:6df1f85722ac0aec555aba804085bcb2116f320ee1ce6326982c3f4dd8dda808","observation_id":"2b2e7ed5-b7e4-45ee-92c9-7e2d70ab3bfe","resolution":{"observed_at":"2026-08-07T10:41:30.075063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:29.810831Z","title":"Lora: Low-rank adaptation of large language models.ICLR, page 3, 2022","venue":null,"work_id":"130a852a-28fa-4180-a14a-8d998047c515","year":2022},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.118030Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:4a0f48e89dd66d89635530102ae53991a60520292c665687bd1988833a9afb6c","observation_id":"cf193b6a-1d3d-487c-b3b0-498835b847f4","resolution":{"observed_at":"2026-08-07T10:41:29.895803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:29.616985Z","title":"Learning generative structure prior for blind text image super-resolution","venue":null,"work_id":"adac6ed8-08cc-4a33-9d6f-f2366d196dcc","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.204276Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:cf657b4485b5446e14414e4570b7dd5c3d934f60f34bce1056abd651635cc57a","observation_id":"01c1734e-8f18-4a01-9ec7-3a012d80951e","resolution":{"observed_at":"2026-08-07T10:41:29.716154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:29.399448Z","title":"Lsdir: A large scale dataset for image restoration","venue":null,"work_id":"662c8c03-3698-48c0-9cc6-afbb20a54327","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.271797Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:860a02816cbde3fffaa6b86b597f991076fe6435201df8d8b0cb57fc37ec092d","observation_id":"f5b57e8d-3efc-44f2-ac87-c0153490a4e0","resolution":{"observed_at":"2026-08-07T10:41:29.508732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:29.252691Z","title":"Details or artifacts: A locally discriminative learning approach to realistic image super-resolution","venue":null,"work_id":"d7c2dd08-b7d8-4b1e-a08f-fd2718d46a16","year":2022},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.334589Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:fbec6f1692d47182df86da3a8790939e077b207dd1d0e36c8ab0e07da49e8f5c","observation_id":"f3b75cf7-23f2-4f6b-93d6-78792c1034b0","resolution":{"observed_at":"2026-08-07T10:41:29.331983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:41:22.444217Z","title":"Focal loss for dense object detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.444217Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:4373a8e8cb481b79cedb3554434b2c8624b925ff31a15b44e647c441bbc6cb97","observation_id":"3f18c5de-75b2-4395-8ba4-a5c1363350a6","resolution":{"observed_at":"2026-08-07T10:41:22.444217Z","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":"2026-08-07T10:41:29.059193Z","title":"Diffbir: Toward blind image restoration with generative diffusion prior","venue":null,"work_id":"b8785738-9f97-4b7d-9997-d6e8522dd7d9","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.503566Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:5dcd947757813d66662c2021f2ac9254d29e31bf64189274b17e26ded7f22e8a","observation_id":"56cf9f6e-239b-4506-ac42-6ef368d2d95e","resolution":{"observed_at":"2026-08-07T10:41:29.147103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:28.872393Z","title":"Structure-preserving image super-resolution","venue":null,"work_id":"62856f85-ef3c-44cf-9a1d-59eaacdb35f9","year":2021},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.559369Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:572ee47fc4232aa686d4bb1d4517834822cabb90c78b55606c8e1caa13211430","observation_id":"dffd9aa6-3f59-459e-8e0f-7558d7ab82ec","resolution":{"observed_at":"2026-08-07T10:41:28.974190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:28.666834Z","title":"A benchmark for chinese-english scene text image super-resolution","venue":null,"work_id":"271d706a-e29d-4a87-a34d-f0a5ef15f296","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.628547Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:ff90026ca7e114b44925ca64c6b4efae0bd5fd2d32864c57003ad3defe481813","observation_id":"a563e917-6c91-496a-be02-5a7d90bb8257","resolution":{"observed_at":"2026-08-07T10:41:28.780552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:28.510745Z","title":"A text attention network for spatial deformation robust scene text image super-resolution","venue":null,"work_id":"8b1f15c3-0ede-4dd0-a5dd-0096b53a31ae","year":2022},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.721267Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:d2fb123045cee2491bcb082da80af8b401b782840aaf9aa34cfa674e89ac5a72","observation_id":"d3f69aff-0e6d-4c16-86b9-a24a715c3cc9","resolution":{"observed_at":"2026-08-07T10:41:28.578018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:28.336002Z","title":"Plugnet: Degradation aware scene text recognition supervised by a pluggable super-resolution unit","venue":null,"work_id":"87f1900b-6c3b-46b1-9047-8bfacd2cb995","year":2020},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.864118Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:7400beb0f6f558ea89e576a4f24a8544671c42d32dd83a8b33c0b833ca73eabe","observation_id":"c11c14e2-81e4-4fa6-b0c6-b63738d56c88","resolution":{"observed_at":"2026-08-07T10:41:28.392793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:28.176801Z","title":"Content-aware local gan for photo-realistic super-resolution","venue":null,"work_id":"2319283e-05d7-4cd8-a324-71bc280bbc17","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:22.931008Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:796840f8ce40fd61214ccae872a78ed420d059693a650d76b01adfc8037ae5a2","observation_id":"0693769a-ee17-40ef-974c-cf140009172b","resolution":{"observed_at":"2026-08-07T10:41:28.265030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:28.045305Z","title":"Addison-Wesley Longman Publishing Co., Inc., 1987","venue":null,"work_id":"048f7766-afc0-4dc2-b14f-336f3c1c7b0f","year":1987},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.032572Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:3dbdb65ef68be9ea6972d7ce63f764c25ffc2198df74131a4c42bef5f7e90a64","observation_id":"0aef5856-8d3d-497a-aa9a-b4f6f87be5d4","resolution":{"observed_at":"2026-08-07T10:41:28.088877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:41:23.163703Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.163703Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:19fa94d734424a9eb9a60ffc107caa9a820d0fc1e8a7a09c504fa492af52091b","observation_id":"60c865be-334e-4401-8bf5-a0bc6b984850","resolution":{"observed_at":"2026-08-07T10:41:23.163703Z","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":"2026-08-07T10:41:27.881406Z","title":"Glu variants improve transformer.arXiv preprint, 2020","venue":null,"work_id":"422a57f8-7cdc-46e7-8844-0ef370dbea77","year":2020},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.229582Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:5171bfef1fb184afbd746010995dde4418aa2771caa408fe6a5c340017fe294a","observation_id":"9aab920a-0ce5-4628-b534-16eed41eb62c","resolution":{"observed_at":"2026-08-07T10:41:27.979719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:27.751970Z","title":"What the daam: Interpreting stable diffusion using cross attention","venue":null,"work_id":"ba69b2da-2b79-485d-9329-9efddc8dd2e2","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.367542Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:948b16fe38e20ab6166b383e6c92186a91511cf7638c7fba8ceeb351d514382b","observation_id":"19744af0-1f95-4666-8e7c-c50dcc36a0e0","resolution":{"observed_at":"2026-08-07T10:41:27.838316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:41:23.463646Z","title":"Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.arXiv preprint, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.463646Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:b9fd133c2ee34b1ef0d025ede854d76729ef3bbb50d03bd203724a74014ea07e","observation_id":"9e016df3-dc31-4bd1-b770-54accda7d608","resolution":{"observed_at":"2026-08-07T10:41:23.463646Z","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":"2026-08-07T10:41:23.532511Z","title":"Ntire 2017 challenge on single image super-resolution: Methods and results","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.532511Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:861d332ebe082364923a4ea5af77b03549705f0c2ea1fa70165d05815b056e9a","observation_id":"ca4699c7-73c4-44dd-8a33-5367bf85e0e9","resolution":{"observed_at":"2026-08-07T10:41:23.532511Z","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":"2026-08-07T10:41:23.610699Z","title":"Attention is all you need.NeurIPS, 30, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.610699Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:ac20cdd9204389870ee9a8c7405c0aa205d65585f1755bab362a0ad9818eee4c","observation_id":"bfacd85a-b804-4c2d-9d06-aa73efc4dbb3","resolution":{"observed_at":"2026-08-07T10:41:23.610699Z","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":"2026-08-07T10:41:27.553844Z","title":"Exploiting diffusion prior for real-world image super-resolution.IJCV, 132(12):5929–5949, 2024","venue":null,"work_id":"788c5313-0ffb-4b8a-b3fd-f64b2e2fb9dc","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.679432Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:14c0874d2b07da2fceac0c2592083e7021f1548cf849523d913ed3fe5328bee3","observation_id":"5ae51ae5-e114-468a-b6fc-2b3777869b54","resolution":{"observed_at":"2026-08-07T10:41:27.655036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:27.418336Z","title":"Scene text image super-resolution in the wild","venue":null,"work_id":"e2874ad1-b1a9-44ac-8f63-b8c94fde377d","year":2020},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.845817Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:5857aedce4e28207dcc75fa55ec96c30cc704611a2c863ee5fc0137a405229ab","observation_id":"12106fbe-c01b-4ae6-982d-0f6f9dfb3edb","resolution":{"observed_at":"2026-08-07T10:41:27.487758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:27.271454Z","title":"Textsr: Content-aware text super-resolution guided by recognition.arXiv preprint, 2019","venue":null,"work_id":"ce5bb73f-0dd3-4d7b-851e-1437f67e6122","year":2019},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.900141Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:18b02229f237d7dbc4a26c72d9949b5222ca028ee9f809fe3affcf8c74279bdd","observation_id":"6f661e1c-19f5-48cd-9f89-b3ef1ad70bee","resolution":{"observed_at":"2026-08-07T10:41:27.317051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:27.078481Z","title":"Real-esrgan: Training real-world blind super-resolution with pure synthetic data","venue":null,"work_id":"9b37fbd6-ba2f-4b68-8262-fb691634cba7","year":1905},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:23.962842Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:8e79d73828014070eb9eedb7f24e702102aa403c0e62ba1cd9da9377ff9e16b8","observation_id":"3bc3eb53-863d-4a03-81a6-5c87319d56a8","resolution":{"observed_at":"2026-08-07T10:41:27.205598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:26.960710Z","title":"Sinsr: diffusion-based image super-resolution in a single step","venue":null,"work_id":"4b0bdf4d-0c96-4699-966c-ee3fff20ff56","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.120593Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:7e9194852c57d341ab2ad53a12a3725bf97cc99df34ead522bd8977a39b001d4","observation_id":"e66b1675-a74a-4290-9df6-b50a7beef1c6","resolution":{"observed_at":"2026-08-07T10:41:27.005948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:26.797461Z","title":"One-step effective diffusion network for real-world image super-resolution.NeurIPS, 37:92529–92553, 2024","venue":null,"work_id":"174c649c-be08-42cd-9a26-5c7ad53bc42a","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.192217Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:8a97c93bf11008cf7bf4084eaad62e3cb1b7318f2da34739423c6f00a434cf64","observation_id":"b3263881-8169-4ec0-ae32-90f4efa030ac","resolution":{"observed_at":"2026-08-07T10:41:26.905530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:26.639882Z","title":"Seesr: Towards semantics-aware real-world image super-resolution","venue":null,"work_id":"98cd4a12-6fec-47ea-b9df-6cdb49c120eb","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.253221Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:a45534c31f3d4a3ca847467ed570429d40b751e985de2c9e4fbbb3d2f91a5c85","observation_id":"88ea004a-2dce-4241-9971-e38b428d0bc0","resolution":{"observed_at":"2026-08-07T10:41:26.722571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:26.476915Z","title":"Group normalization","venue":null,"work_id":"5e071056-cf83-4114-8308-a461a4565c37","year":2018},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.341094Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:33ce412113c1370fb056d62a2f237f46978e6ca9d7a9a597b5f42e84b750cdd9","observation_id":"d0c24767-3b31-4686-aba4-24bd29c47ae8","resolution":{"observed_at":"2026-08-07T10:41:26.577556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:26.361046Z","title":"Rethinking text segmentation: A novel dataset and a text-specific refinement approach","venue":null,"work_id":"44681fe9-55d0-49c6-92e8-6852693e5d68","year":2021},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.434463Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:5138c8274696a667ec290a84961fd7ac67150b4a60bab41130ae358f2d3fd24d","observation_id":"5fde269b-e6c7-4d1e-811d-205c32f37121","resolution":{"observed_at":"2026-08-07T10:41:26.392603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:26.160229Z","title":"Bts: a bi-lingual benchmark for text segmentation in the wild","venue":null,"work_id":"172c752f-364e-4b73-8ecc-3cc7f71b0d5a","year":2022},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.496160Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:52cec808066862899f65c5c6759b110a4a64e167c8ea8e64ac2b6a38731cddd3","observation_id":"abaf2c1a-c4af-4039-9fae-c3f103e3aa89","resolution":{"observed_at":"2026-08-07T10:41:26.293198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:25.987911Z","title":"Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization","venue":null,"work_id":"d1c58235-7e09-4641-aead-652d1e719dd4","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.554764Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:69316e59a6e2912ac7085f3163e77a937bd322ee9bc70a1c047fbfb667fadcf4","observation_id":"a4673928-22c4-4b3a-8bcd-30ea63d63bf5","resolution":{"observed_at":"2026-08-07T10:41:26.095108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:25.838618Z","title":"Hi-sam: Marrying segment anything model for hierarchical text segmentation.TPAMI, 2024","venue":null,"work_id":"cd41fbf9-e88c-42b8-a465-268737764652","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.618953Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:65f2c8e231a6acdefb2a5d8d24b8587af8364643079bf0e664b7ccd3e0914d2e","observation_id":"b6a36fb6-9eb4-4935-8b21-556c53ad363f","resolution":{"observed_at":"2026-08-07T10:41:25.910713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:25.687085Z","title":"Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild","venue":null,"work_id":"ed8270a4-62e9-42b5-a6be-1d1cd80e8cd5","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.756558Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:f7e6ef98aed1074ae24496b30ee85e7cadaa200176984f8448ce2af9266aa15d","observation_id":"49a12537-144c-42ce-a11b-02fbb676e9a3","resolution":{"observed_at":"2026-08-07T10:41:25.743979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:25.516109Z","title":"Resshift: Efficient diffusion model for image super-resolution by residual shifting.NeurIPS, 36:13294–13307, 2023","venue":null,"work_id":"e691bae7-b4e0-48fa-8367-4166d34df044","year":2023},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.805648Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:deb25059b6ee0b54cbf99f854a7c34d90117262299f403510888f0c5bd68a92c","observation_id":"ec19a585-78ed-4eb3-a31e-acd6a104dfff","resolution":{"observed_at":"2026-08-07T10:41:25.554495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:41:25.370162Z","title":"A normalized levenshtein distance metric.TPAMI, 29(6):1091–1095, 2007","venue":null,"work_id":"672113f4-6bd6-461a-bf08-fc865e5110e4","year":2007},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.875767Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:4ecc7fc26eb55a6249d7915b0a5256379275d1c932f9086196b19abf19afd24e","observation_id":"c1ada59b-74b2-468f-bf4c-9f4d8900af16","resolution":{"observed_at":"2026-08-07T10:41:25.415999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T10:41:24.955036Z","title":"Designing a practical degradation model for deep blind image super-resolution","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:24.955036Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:130dcce1d89760a6a0f69497085aae37e1c6a79b91d9a82e48d0e874cf8e347d","observation_id":"61968590-f75f-4f08-9ecb-6aa42b0fa92c","resolution":{"observed_at":"2026-08-07T10:41:24.955036Z","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":"2026-08-07T10:41:25.027805Z","title":"The un- reasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:25.027805Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:471a40035053eb1cf6f3ecd2d3f52d147596ea48c58a43071959c3772e5419a6","observation_id":"7fa79897-e1cb-4a62-9559-3fa185edccdf","resolution":{"observed_at":"2026-08-07T10:41:25.027805Z","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":"2026-08-07T10:41:25.178439Z","title":"Diffusion-based blind text image super-resolution","venue":null,"work_id":"a9c9a086-4e34-4547-a089-e84fc02d680e","year":2024},"citing_paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:41:25.112089Z"},"links":{"citing_paper":"/paper/2506.04641"},"observation_digest":"sha256:07076a48311e8204a0e4a698f66895fad8589d7bedb20526eb08ba98601db7ab","observation_id":"54c033a5-3ace-4b70-a32f-77917933dc09","resolution":{"observed_at":"2026-08-07T10:41:25.255125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.04641","last_updated":"2025-06-05T05:23:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:34:22.875988Z","submitted_at":"2025-06-05T05:23:10Z","title":"Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":37},"total_outbound_references":46},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.04641."}