{"as_of":"2026-08-19T13:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5a1aae467fb2102f7c055d90b6259e3ee121cbf3de39e6a9760cf8d2c29079e2","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:41:31.871231Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2505.12317/citation-record","integrity":"/paper/2505.12317/integrity","json":"/paper/2505.12317/citation-record.json","paper":"/paper/2505.12317"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:41:31.655941Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.655941Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:3472635c871e651ccf9a8ff11118674357727b3a4080a79d02aefb1e69d62143","observation_id":"caf5f906-8cbf-4269-bd0a-b1d8b6cc791f","resolution":{"observed_at":"2026-08-15T20:41:31.655941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.03494","last_updated":"2021-05-07T20:27:22Z","snapshot_observed_at":"2026-08-18T01:00:59.630173Z","submitted_at":"2021-05-07T20:27:22Z","title":"The iWildCam 2021 Competition Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.03494","snapshot_observed_at":"2026-08-15T20:41:31.660708Z","title":"The iwildcam 2021 competi- tion dataset.arXiv preprint arXiv:2105.03494, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.660708Z"},"links":{"cited_paper":"/paper/2105.03494","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:e539dac62eac87279cbefa6e60a348295597c873e488cb5b25b3ebe6e0620ab3","observation_id":"a230eeec-6725-4bc1-ad06-b0063ec61b6c","resolution":{"observed_at":"2026-08-15T20:41:31.660708Z","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":"2026-08-15T20:41:31.665053Z","title":"Recognition in terra incognita","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.665053Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:7d3010493249ea201fd3adcc537e919a7e5f6112c0814edfba4355edc2c4702a","observation_id":"6af53401-81d4-4220-8599-8e17210af99b","resolution":{"observed_at":"2026-08-15T20:41:31.665053Z","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":"2026-08-15T20:41:31.669135Z","title":"Unsupervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912–9924, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.669135Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:f1f92a465b48649a84eee8d82c0bb7570b1d31d8008b29c3f8ecc39d2c36618a","observation_id":"28e553bc-7965-4438-a1fd-7bc88081432c","resolution":{"observed_at":"2026-08-15T20:41:31.669135Z","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":"2026-08-15T20:41:31.673165Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.673165Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:f5a51e2038beea9a3a4fee5414bc7dc96664b7f015640567259555f10218988a","observation_id":"dc63579e-aeee-490b-9587-87060013cbe8","resolution":{"observed_at":"2026-08-15T20:41:31.673165Z","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":"2026-08-15T20:41:31.677054Z","title":"Randaugment: Practical automated data augmentation with a reduced search space","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.677054Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:debc9b6c2e680c85f0f88b76ca5ffa7c82dd31215c4739c6de5cfaae6beae2d1","observation_id":"0403bca4-e80b-44af-a25c-6d3cbe5398be","resolution":{"observed_at":"2026-08-15T20:41:31.677054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.04552","last_updated":"2017-11-29T14:51:40Z","snapshot_observed_at":"2026-08-13T11:54:46.030796Z","submitted_at":"2017-08-15T15:21:53Z","title":"Improved Regularization of Convolutional Neural Networks with Cutout","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.04552","snapshot_observed_at":"2026-08-15T20:41:31.681239Z","title":"Improved regularization of convolutional neural networks with cutout.arXiv preprint arXiv:1708.04552, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.681239Z"},"links":{"cited_paper":"/paper/1708.04552","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:8f35d0a8b221f69ccab0b688023555efab692f04f41d620601363bc69293db5e","observation_id":"d9b0096f-4434-4aed-b999-6dcb1a2a37a9","resolution":{"observed_at":"2026-08-15T20:41:31.681239Z","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":"2026-08-15T20:41:31.685322Z","title":"Domain-adversarial training of neural networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.685322Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:24a4bb8f67cb682836e65beff04844646d6e75fdc800cf29e032ad9902fdb453","observation_id":"153371be-d1fd-4c01-96b9-fdd257de3e77","resolution":{"observed_at":"2026-08-15T20:41:31.685322Z","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":"2026-08-15T20:41:32.637036Z","title":"Out-of-domain robustness via targeted augmentations","venue":null,"work_id":"46a9affa-8c47-47f1-a33c-73f8ecef97a9","year":2023},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.688684Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:6fd5a20d0d2061b69febb67054eb7dcb9d1922eba9e6282e51bc33110795bf8e","observation_id":"345188af-5af8-4bac-a9dc-421e1d68fe31","resolution":{"observed_at":"2026-08-15T20:41:32.640953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.691497Z","title":"In search of lost domain generalization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.691497Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:22157221db12c3b69e3ebc9958ea9b63532f9ee1af6518450786e6a3e662842a","observation_id":"1ebd3975-9c8e-4a9d-a57a-d5ed12f29857","resolution":{"observed_at":"2026-08-15T20:41:31.691497Z","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":"2026-08-15T20:41:32.617383Z","title":"Structural sparseness and spatial phase alignment in natural scenes.Journal of the Optical Society of America A, 24(7):1873–1885, 2007","venue":null,"work_id":"31284563-550d-4c0d-be00-042e00071542","year":2007},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.694329Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:1c63622aab71e9c3ba7678c318937e8955d461e943ab420143791b5c75ad97a0","observation_id":"7e89aa9d-e5ba-4c81-b54e-23d94ebca7ec","resolution":{"observed_at":"2026-08-15T20:41:32.621230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.697515Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.697515Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:8d8d0b3f5b9313af2d626174e9943003d86963d35b29f3d7106541e3d3af3b89","observation_id":"0a579ba2-9973-4c81-8fd4-d21655f2c70c","resolution":{"observed_at":"2026-08-15T20:41:31.697515Z","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":"2026-08-15T20:41:31.700820Z","title":"The many faces of robustness: A critical analysis of out-of-distribution generalization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.700820Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:b5ac10aeca90272e5130299d85b20d53de5240b6befbbc9a5771fa3e92eeed61","observation_id":"d2c7ed48-19b1-4f04-9e23-9beb08e3ff31","resolution":{"observed_at":"2026-08-15T20:41:31.700820Z","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":"2026-08-15T20:41:32.589608Z","title":"Augmix: A simple data processing method to improve robustness and uncertainty","venue":null,"work_id":"fac85e8f-b819-4a1e-b507-f8d3a8078667","year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.704336Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:d48892784e792cf2e757a3637e4f09e7c2573dc5842324f8ec63ec39258cf06d","observation_id":"e4316063-e891-437d-9d75-afe4b4790899","resolution":{"observed_at":"2026-08-15T20:41:32.594613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.576427Z","title":"Galaxy10 decals dataset","venue":null,"work_id":"6a9e9842-b4db-46a6-afde-301c598364b2","year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.707723Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:2d8b06b8ed684dfe8b054d36bf07a0c8739e33df708ebd83f1bcd381e6be592e","observation_id":"30424cd7-b194-4a99-86ea-baa896472144","resolution":{"observed_at":"2026-08-15T20:41:32.580789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.564048Z","title":"Cycada: Cycle-consistent adversarial domain adaptation","venue":null,"work_id":"19772798-a868-42ec-9a70-4f6f8b255240","year":1989},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.711140Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:83bc2a3235d46d449a80a576151b12735486578fce87b8b181d853ff120ee9f8","observation_id":"fc0ce764-10d4-4d7d-a4e7-771feb320052","resolution":{"observed_at":"2026-08-15T20:41:32.568664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.550929Z","title":"Cycada: Cycle-consistent adversarial domain adaptation","venue":null,"work_id":"efc837dc-d1c9-492c-9e29-eb96c6745e85","year":1989},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.714814Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:f2f8d06ea97224ffeffc15ae64ebca5e75bbd8e15be4ad9d409139ce59da45dc","observation_id":"00be2327-7172-4ac3-8c07-9b6b49c41267","resolution":{"observed_at":"2026-08-15T20:41:32.555458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.541140Z","title":"Selecting data augmentation for simulating interventions","venue":null,"work_id":"0bc37011-929a-4455-ab1a-25f670fa2578","year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.718322Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:777c73cf8a8e080d8a65d286b32946f5ec85639f8dd0407fb06d41f08bab347e","observation_id":"a3c8dadc-3e20-433f-9c2b-d5806b73da62","resolution":{"observed_at":"2026-08-15T20:41:32.544062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.530049Z","title":"Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution prediction","venue":null,"work_id":"8659a5a6-1919-4449-9bf5-b1dd45665b16","year":2022},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.721604Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:06af31b528b4b2a60717308b1e1294f04e4aec799063bce0042a768aa15303f4","observation_id":"4f65173d-12ff-4fbc-bb72-5e7220b1bc8d","resolution":{"observed_at":"2026-08-15T20:41:32.534276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.517926Z","title":"Contrastive adaptation network for unsupervised domain adaptation","venue":null,"work_id":"985c9044-cd01-4a9e-8bd9-ef6d0936b7e0","year":2019},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.725271Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:ec342134c7f07d706b4b49d7e6d786e685de5a5d151e8adb12be13de45ec0390","observation_id":"4ddc8fc1-e1f3-4176-80fa-a48283f5a075","resolution":{"observed_at":"2026-08-15T20:41:32.522899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.504421Z","title":"Wilds: A benchmark of in-the-wild distribution shifts","venue":null,"work_id":"700c3e5e-f5b9-44c3-8c93-74f9b031811e","year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.728690Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:40197af84dabab38a173c9ed98154010037b64720a93b0c97687b7195ce2d1e7","observation_id":"1341debd-add3-41e1-b152-1dab6d5f7b3d","resolution":{"observed_at":"2026-08-15T20:41:32.509293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.732347Z","title":"Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.732347Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:20009000beafbb08b29ff46ed1eace6b33010955d5a31b2e567040b30c4d5db7","observation_id":"43c1a4e5-c48c-46a0-a616-57e1c227edcb","resolution":{"observed_at":"2026-08-15T20:41:31.732347Z","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":"2026-08-15T20:41:31.736099Z","title":"Fine-tuning can distort pretrained features and underperform out-of-distribution","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.736099Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:e35cf091628cc52f4bba2d0fc683a096e13c6fdeeeb83a74678359949331d398","observation_id":"1814f815-1681-4573-b696-16217b54b3f2","resolution":{"observed_at":"2026-08-15T20:41:31.736099Z","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":"2026-08-15T20:41:32.476250Z","title":"Conditional adversarial domain adaptation.Advances in neural information processing systems, 31, 2018","venue":null,"work_id":"5297fee1-474e-4118-b863-a1216ceb9e6a","year":2018},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.739664Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:bdd9b5d027ac00d5c9d6be2f21d9e9613b6ee5dd77148ae3ca63003425cdfd0a","observation_id":"e82a0e55-ebc4-4054-a58e-31f84e57b4e3","resolution":{"observed_at":"2026-08-15T20:41:32.481100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.10195","last_updated":"2020-10-04T22:47:00Z","snapshot_observed_at":"2026-08-11T01:39:48.242207Z","submitted_at":"2020-09-21T22:02:33Z","title":"SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness","version":2},"cited_work":{"arxiv_id":"2009.10195","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.10195","snapshot_observed_at":"2026-08-15T20:41:31.962216Z","title":"SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness","venue":"cs.CL","work_id":"991de639-c103-4b06-b4b0-ba2b4fb5ebfa","year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.743059Z"},"links":{"cited_paper":"/paper/2009.10195","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:63f3d01cdc31439940ca96cc840e79b0e3d90e681a266a15875a3256a8162efc","observation_id":"4ea96b76-ac5b-4df3-8868-6e6828353832","resolution":{"observed_at":"2026-08-15T20:41:31.969122Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.462904Z","title":"Phase in speech and pictures","venue":null,"work_id":"1d9ecba5-fa6f-450d-b527-ceea71f09a8a","year":1979},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.746849Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:5df6ae12b1a7b48cec5052431a99cc8669ca1e1909498d43cfa48eb190849140","observation_id":"454ca581-e94b-4af3-a817-f0eb4590eb54","resolution":{"observed_at":"2026-08-15T20:41:32.466632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.750500Z","title":"The importance of phase in signals.Proceedings of the IEEE, 69(5):529–541, 1981","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.750500Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:264544cfdf314aa9a4071469701d1a67d2c44b49b08bb7cf107c9063b0e26c7e","observation_id":"6ee02520-9d84-493f-ae83-d557d2b4ed91","resolution":{"observed_at":"2026-08-15T20:41:31.750500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08779","last_updated":"2019-12-03T18:19:07Z","snapshot_observed_at":"2026-08-15T18:44:59.455586Z","submitted_at":"2019-04-18T17:53:38Z","title":"SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08779","snapshot_observed_at":"2026-08-15T20:41:31.754609Z","title":"Specaugment: A simple data augmentation method for automatic speech recognition.arXiv preprint arXiv:1904.08779, 2019","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.754609Z"},"links":{"cited_paper":"/paper/1904.08779","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:7178e907b14aa75cf38e3c447311812a3d9d19192e5b51e6773259d381d9b25d","observation_id":"961d4178-ebeb-4354-a09b-4d127b1c0fc0","resolution":{"observed_at":"2026-08-15T20:41:31.754609Z","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":"2026-08-15T20:41:32.436990Z","title":"A demonstration of the visual importance and flexibility of spatial-frequency amplitude and phase.Perception, 11(3):337–346, 1982","venue":null,"work_id":"2147e10f-1714-4d87-a670-fa13f2e53dda","year":1982},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.759060Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:4a9daeb31c3977882246a2cb2685b430e22c3ed9fa7128dc4dfd12844ae13ab6","observation_id":"47b5d1d1-5b00-4229-8d9c-a664dfd0ed50","resolution":{"observed_at":"2026-08-15T20:41:32.442215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.423335Z","title":"Connect later: improving fine-tuning for robustness with targeted augmentations","venue":null,"work_id":"034f2cf4-0de9-43bf-90a6-791436fbe41f","year":2024},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.763539Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:fb2b35f82b02174244c8c7cb5a1051ebd2c98e9929c931f53cb24bd0654f3fd8","observation_id":"b3dc6fb2-3bf0-4406-9934-73dac02f41b2","resolution":{"observed_at":"2026-08-15T20:41:32.427388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.768149Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.768149Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:bbd7fb0dc074a5ec627c1d783a5db48a87e2b263b488caafeadc7b070a055c34","observation_id":"34587cff-7518-43ee-abaa-04150dcee112","resolution":{"observed_at":"2026-08-15T20:41:31.768149Z","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":"2026-08-15T20:41:32.391107Z","title":"Data augmentation can improve robustness.Advances in neural information processing systems, 34:29935–29948, 2021","venue":null,"work_id":"1f9bde35-6627-4b58-a9a8-0e65e3182607","year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.774886Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:048cd4b4e36e47bf79c4356d0d63109a8540788bbf4ef3d6309430e5e548ce67","observation_id":"cb973d11-0ce1-4a26-8ba1-e81edba68090","resolution":{"observed_at":"2026-08-15T20:41:32.395981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.375179Z","title":"Extending the wilds bench- mark for unsupervised adaptation","venue":null,"work_id":"909dfb09-64ff-403e-bf4c-90c59c11a9e4","year":2022},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.779004Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:22707ed82690d01e8b1c700e5a39c8e70c98f05c5d68f65b44f8acc1075d89de","observation_id":"9de55e2e-c884-456d-9859-537021131964","resolution":{"observed_at":"2026-08-15T20:41:32.380558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17851","last_updated":"2024-12-19T17:43:43Z","snapshot_observed_at":"2026-08-18T11:37:40.143309Z","submitted_at":"2024-12-19T17:43:43Z","title":"Noisereduce: Domain General Noise Reduction for Time Series Signals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17851","snapshot_observed_at":"2026-08-15T20:41:31.783306Z","title":"Noisereduce: Domain general noise reduction for time series signals.arXiv preprint arXiv:2412.17851, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.783306Z"},"links":{"cited_paper":"/paper/2412.17851","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:76d3bc004f7c97e21eaa3bf1a7588c0d94405b528836df03fe3bc44d00e00b15","observation_id":"d2d87e28-0e62-4c27-a5f8-f0dcc31e1f3f","resolution":{"observed_at":"2026-08-15T20:41:31.783306Z","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":"2026-08-15T20:41:32.356882Z","title":"Demystifying galaxy classification: An elegant and powerful hybrid approach","venue":null,"work_id":"3786f3f3-61cb-4128-9e61-3e213c4a3643","year":2024},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.787842Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:6515456811542dd40066cdc2a360672895a8703f2cffb98c6283c4ccd579a6a7","observation_id":"d2ba4d25-98c2-439d-85ba-1b2d663f8cc6","resolution":{"observed_at":"2026-08-15T20:41:32.362974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.336377Z","title":"Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation","venue":null,"work_id":"87afe0cf-2c01-4ac3-8a14-fcb8e5f8622c","year":2022},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.792257Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:db09ee7c6594959fc3e20a34130136fd555e6a59e4c9b5e11fa622c3e9e324ed","observation_id":"d0af395b-e124-4716-96e3-e180d405bc77","resolution":{"observed_at":"2026-08-15T20:41:32.340758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.322968Z","title":"Best practices for convolutional neural networks applied to visual document analysis","venue":null,"work_id":"e799001a-4a82-4d91-8650-bcfa29c9da49","year":2003},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.796058Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:3066467cd3baba63f24221468ba90f034d2f0bde0ad0a31bc57fd15756fb7d7a","observation_id":"6cd63e64-0572-4b45-be94-ea79670a9da1","resolution":{"observed_at":"2026-08-15T20:41:32.327354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.800020Z","title":"Fixmatch: Simplifying semi- supervised learning with consistency and confidence.Advances in neural information processing systems, 33:596–608, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.800020Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:40c77b4ec64c766fe54a1cb82892f284002c4a32ca89bd8fe89f855bc575eb98","observation_id":"7c869be5-db68-4d38-85d8-1162fff10b49","resolution":{"observed_at":"2026-08-15T20:41:31.800020Z","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":"2026-08-15T20:41:31.803893Z","title":"Correlation alignment for unsupervised domain adaptation.Domain adaptation in computer vision applications, pages 153–171, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.803893Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:eb36e97d7acefbb3194695496ad45b62cae1119973998084f43297be718a7362","observation_id":"8e7e60ad-0f5e-4b49-bca1-94c9d98034bb","resolution":{"observed_at":"2026-08-15T20:41:31.803893Z","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":"2026-08-15T20:41:32.291649Z","title":"Deep coral: Correlation alignment for deep domain adaptation","venue":null,"work_id":"81f20089-8d3e-44cf-90ae-3c552212f566","year":2016},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.807441Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:cdeb66d0a10a1bcb5ca27bea98334716a59f3aba8f0d637b2999c5d55fc46a0a","observation_id":"a5749cf6-0216-413d-984c-9050c372fe4f","resolution":{"observed_at":"2026-08-15T20:41:32.295815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.278681Z","title":null,"venue":null,"work_id":"b7b8d7ac-3547-40bc-a934-4fbd1d534c10","year":2018},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.811370Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:d938de1e6ef5bf0c60dbd2a1d41994c2336c5bb6a48312578e91fb6ece28e59b","observation_id":"23493965-840e-4bd2-a74a-cc2c4968a016","resolution":{"observed_at":"2026-08-15T20:41:32.282835Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.266582Z","title":"Galaxy morphology classification with densenet","venue":null,"work_id":"8092df84-8a3d-4b59-a599-24487ded8eaf","year":2023},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.815267Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:254a1ffa3cbf155e8e6b0bd16fae561bfd92508e202ee73878923eed0ffc846b","observation_id":"3cda2302-1ac0-4977-8a40-0554c600bd21","resolution":{"observed_at":"2026-08-15T20:41:32.270272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.253827Z","title":"A fine-grained analysis on distribution shift","venue":null,"work_id":"7e484e39-5616-4e33-bb0d-dd8bf2ad7bd0","year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.819021Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:f21065fedfab6f6a6ebadb982a6638a250cb379f17a76e69828580ba1564b3bf","observation_id":"9a6ebd73-f5bb-4417-8878-fedc69759c3a","resolution":{"observed_at":"2026-08-15T20:41:32.257911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.130708Z","title":"Unsupervised data augmenta- tion for consistency training.Advances in neural information processing systems, 33:6256–6268, 2020","venue":null,"work_id":"1c1bf14f-d80a-4727-b8de-d500b892e367","year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.822903Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:7e51cf88766ab1b9f0575d41cab545b5027f4d25f039fea61dfba71d2d48bed5","observation_id":"b766a63a-427e-4001-b887-f05ccb8e3e49","resolution":{"observed_at":"2026-08-15T20:41:32.245094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.826964Z","title":"Self-training with noisy student improves imagenet classification","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.826964Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:195458e547e1dadbd549615d7a715c5dd8580a2362855e1e0695a4bde8971970","observation_id":"7c54389f-da27-4665-b1ce-3b93fb55e560","resolution":{"observed_at":"2026-08-15T20:41:31.826964Z","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":"2026-08-15T20:41:32.109995Z","title":"Fourier-based augmentation with applications to domain generalization.Pattern Recognition, 139:109474, 2023","venue":null,"work_id":"c02c1f24-e074-454a-82d1-34894bd9fdde","year":2023},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.830922Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:8a7ae23f8bc24927c4edd8a711121e7387c0ac14b44debd681482e96b520b1b8","observation_id":"75b79ad5-007a-407e-8a26-d98e2e87f9d1","resolution":{"observed_at":"2026-08-15T20:41:32.113839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.00677","last_updated":"2020-01-03T01:21:27Z","snapshot_observed_at":"2026-08-11T21:33:20.628406Z","submitted_at":"2020-01-03T01:21:27Z","title":"Improve Unsupervised Domain Adaptation with Mixup Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.00677","snapshot_observed_at":"2026-08-15T20:41:31.834667Z","title":"Improve unsupervised domain adaptation with mixup training.arXiv preprint arXiv:2001.00677, 2020","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.834667Z"},"links":{"cited_paper":"/paper/2001.00677","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:1c018c45c0e6dfb5c9c1960a83b1fbba913653c3cbc546b72be19e1bd3412779","observation_id":"442bbda8-83e0-4ad4-ad83-24e247de314c","resolution":{"observed_at":"2026-08-15T20:41:31.834667Z","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":"2026-08-15T20:41:32.096040Z","title":"Interactive self-training with mean teachers for semi-supervised object detection","venue":null,"work_id":"89080dd4-9e3f-4041-8b41-75df28dbac87","year":2021},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.838632Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:190ac8d3e84c208e0ffb094c6071ccd9c1652f434a460f9090b9dd21204e6cea","observation_id":"d8a888e2-90c5-4322-88ef-8130f40901f3","resolution":{"observed_at":"2026-08-15T20:41:32.100503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.083529Z","title":"Phase consistent ecological domain adaptation","venue":null,"work_id":"ef414125-b155-414d-9b63-aedbe0f9c307","year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.842600Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:e518bbdeb2a3bef124e5d1b4234bd559de60466bc980d6818a3f0b19e5395040","observation_id":"79b3cf18-86fa-43d4-a89a-35d291d6b2de","resolution":{"observed_at":"2026-08-15T20:41:32.087530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.070265Z","title":"Fda: Fourier domain adaptation for semantic segmentation","venue":null,"work_id":"3f2df39a-47fd-441c-bfd8-6b4457d87a05","year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.846486Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:557b09de5306922aeda2f25667c7e250fc9864e6b029d1f496839bf2fb73fb00","observation_id":"80a70567-5d7c-44c1-988b-d03297ab7cf6","resolution":{"observed_at":"2026-08-15T20:41:32.074615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.057051Z","title":"Im- proving out-of-distribution robustness via selective augmentation","venue":null,"work_id":"ea410b25-738a-4503-9c8e-a3eb87603ddf","year":2022},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.850393Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:ddab60ff7b5f455fb145b2c965771d72336e42f11941586483e459e538a003a8","observation_id":"5e9d56e6-e1fc-43c5-a863-a958c20b43ce","resolution":{"observed_at":"2026-08-15T20:41:32.061177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:31.854563Z","title":"Cutmix: Regularization strategy to train strong classifiers with localizable features","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.854563Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:818e099beccc971cf6e967ec01a20e5c206c663fb55ab1d6b1c49cb32a1fe370","observation_id":"c1f0b18d-b93f-4a93-92af-9f4427446292","resolution":{"observed_at":"2026-08-15T20:41:31.854563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-15T20:41:31.858280Z","title":"mixup: Beyond empirical risk minimization.arXiv preprint arXiv:1710.09412, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.858280Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:1467ff455956eefa7f5a4d3c55cb3af1ca22137ede8ed914f889b0212b4d1e04","observation_id":"51bc31fc-a2d0-4f33-8152-804426000917","resolution":{"observed_at":"2026-08-15T20:41:31.858280Z","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":"2026-08-15T20:41:32.035647Z","title":"Deep domain-adversarial image generation for domain generalisation","venue":null,"work_id":"971f127f-2e57-4df3-ab78-5d4849fb9865","year":2020},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.862780Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:fa715bff6b54d193ea16219c4671697591e47c8f94d2bd18a11b22ebb62d87d7","observation_id":"9830623a-d5fd-4ff9-bd6b-f51d2b0075ed","resolution":{"observed_at":"2026-08-15T20:41:32.039683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.022562Z","title":"This underscores the importance of pretrained representations in achieving robustness gains","venue":null,"work_id":"28a54b3a-429e-4fc9-a0e2-3914792006b7","year":null},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.867065Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:b572c6dfc5ab08a398fbf5217e5f9fdf25e068a19dcf84feee3d20a44637157f","observation_id":"3bf7920f-6bfa-480c-b01a-6b3e0e624504","resolution":{"observed_at":"2026-08-15T20:41:32.026951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:41:32.006381Z","title":"Xu et al","venue":null,"work_id":"2d4522ab-d7b7-4cf4-a040-a34fa4c55430","year":null},"citing_paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:31.871231Z"},"links":{"citing_paper":"/paper/2505.12317"},"observation_digest":"sha256:b97a56a31ef89a83b80f6b74e1a7acf00ca013f35b06fc168463afbe8744e02f","observation_id":"4fd4ff25-98db-4d34-9380-895f21b85b19","resolution":{"observed_at":"2026-08-15T20:41:32.013422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.12317","last_updated":"2025-05-18T09:15:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T11:38:19.398131Z","submitted_at":"2025-05-18T09:15:40Z","title":"Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":56},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.12317."}