{"as_of":"2026-08-08T08:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:394d7559a6a182966209adb310b25d6b965096fb4abef9135a18f86aa6c9f1be","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:15:57.156112Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2502.08940/citation-record","integrity":"/paper/2502.08940/integrity","json":"/paper/2502.08940/citation-record.json","paper":"/paper/2502.08940"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:15:57.670254Z","title":"and Li, Y","venue":null,"work_id":"b6f76b90-584b-45a4-9845-e5912c015986","year":2021},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.374739Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:4ca193ed945bb24558030309a40336ca23e3396ce0b95b1c1b7ff51593f405c5","observation_id":"0918301c-84a7-4ca7-976c-5829ee91cb45","resolution":{"observed_at":"2026-08-07T23:15:57.673952Z","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":"2026-08-07T23:15:56.398106Z","title":"and Li, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.398106Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:f0097455e45effb48f22423250985d8e18e74b33fb8b7aa6f97917e62622ee7a","observation_id":"ed762ca8-c5b7-411c-9bb2-40edcb80d8a3","resolution":{"observed_at":"2026-08-07T23:15:56.398106Z","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":"2026-08-07T23:15:57.650592Z","title":"Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks","venue":null,"work_id":"b5263dbd-26b8-43a6-8b1f-3e311d191fe5","year":2019},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.463996Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:ce6d689b4d35683c7906f594a65dca69cf548b241de0023243a64f81ac0f4a50","observation_id":"306511db-20a2-4ff8-9554-a12bf4f983ba","resolution":{"observed_at":"2026-08-07T23:15:57.654835Z","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":"2026-08-07T23:15:56.580414Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.580414Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:df87a21bde7724808cda57e668cfeb5dce6115434f35f389ddf3cb69a11acd24","observation_id":"805c913a-0776-45c5-b369-1cef504f8175","resolution":{"observed_at":"2026-08-07T23:15:56.580414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-07T23:15:56.663517Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.663517Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:5add8fb7c2c29fac29b4314ce6f2eb8a0a1fea670f04a3320aa5210e8b81b30a","observation_id":"762becf4-b815-4c12-aa96-5a0114d2e8be","resolution":{"observed_at":"2026-08-07T23:15:56.663517Z","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":"2026-08-07T23:15:57.631116Z","title":"Benign overfitting in two-layer convolutional neural networks","venue":null,"work_id":"fd2ec762-2bd2-4cd7-95e9-50f3b32959ea","year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.750211Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:f3172f66ddd3939144c5ae8074d4be6e454a707943d5319025a21920680719c5","observation_id":"b838ce57-6609-4079-ba23-170b37117eb6","resolution":{"observed_at":"2026-08-07T23:15:57.635896Z","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":"2026-08-07T23:15:57.619900Z","title":"On mixup regularization","venue":null,"work_id":"c20c1816-cc89-4fd3-9b0a-c9bbc2fd034c","year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.789048Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:00cd8972124b510742e6d95477e9dc1671c3b90f6ac41289e2c3fd61fe1d8aae","observation_id":"7f3e3807-3db0-401b-b910-78098f42f537","resolution":{"observed_at":"2026-08-07T23:15:57.623632Z","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":"2026-08-07T23:15:57.607341Z","title":null,"venue":null,"work_id":"7f606d01-929d-4f1a-bf15-be7533f83f29","year":2020},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.794444Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:2122da8fbfe2dcf71207ec4e586fc81679d946a1130dec98b70fcf0a9bf1953b","observation_id":"9a760909-8cd0-45af-ac2a-30ebc92d8329","resolution":{"observed_at":"2026-08-07T23:15:57.611599Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-07T23:15:57.594195Z","title":"Why does sharpness-aware minimization generalize better than sgd? Advances in neural information processing systems, 36, 2024","venue":null,"work_id":"8dc52630-1351-44da-809d-4557f9912b08","year":2024},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.799205Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:35d8a3f7d5ce1b9b22eef8aee0b7a047ea5844c4eae37775104b6811f298e16c","observation_id":"1a329b94-09a5-4ac4-9533-4d47454ba7c9","resolution":{"observed_at":"2026-08-07T23:15:57.599209Z","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":"2026-08-07T23:15:57.581398Z","title":"Provably learning diverse features in multi-view data with midpoint mixup","venue":null,"work_id":"888f5f9a-d502-4f2d-9242-c6d19e504337","year":2023},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.803372Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:2c737fa7e03d02c1723c1e84cc3ede0f0cc5fd044237e141da5e71901ca8667c","observation_id":"da73878c-9bbf-49fd-bb38-e76e344923dc","resolution":{"observed_at":"2026-08-07T23:15:57.586324Z","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":"2026-08-07T23:15:57.569382Z","title":"A kernel theory of modern data augmentation","venue":null,"work_id":"71373ef9-a1ea-4177-9a6b-c2a25778e21e","year":2019},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.806678Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:14c7293a932cfa2d483e940a84599bb4db4cfa6fc8b431070a776ae93f6135bc","observation_id":"c149bf23-ce83-45e8-a2b5-dc164762b1a5","resolution":{"observed_at":"2026-08-07T23:15:57.573520Z","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":"2026-08-07T23:15:56.810447Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.810447Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:a4176b806701c67e1cfef721810ceeb7b6c696c46862d24e5c4964ebd7d88be4","observation_id":"157f992f-74b9-47ac-888a-952959c1c7ac","resolution":{"observed_at":"2026-08-07T23:15:56.810447Z","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":"2026-07-06T05:55:22.966528Z","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":"2026-08-07T23:15:56.815378Z","title":"and Taylor, G","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.815378Z"},"links":{"cited_paper":"/paper/1708.04552","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:8a2e9bceb1c28b812470964765812f1019ef02745f1ce09f83c47583889226e6","observation_id":"d3c7aeb3-8c62-4085-8eb9-1739c1668352","resolution":{"observed_at":"2026-08-07T23:15:56.815378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T23:15:56.820613Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.820613Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:822e93cb2f4519ea830dcaa76496e9f88ece1d42d78bcd171a56dd09634c4e07","observation_id":"9ae3fdea-159d-4d10-9a7e-2f1a7e06ce50","resolution":{"observed_at":"2026-08-07T23:15:56.820613Z","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":"2026-08-07T23:15:57.549605Z","title":"and Sun, Y","venue":null,"work_id":"316fb80a-d295-40f4-a14d-5409796bde01","year":2021},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.825496Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:e7c5a222eaeb26060d1d904e067daa382ab2496ea095a208fe5f0fc4252a46be","observation_id":"4b0687b9-7ca0-4287-b988-df65862db6fe","resolution":{"observed_at":"2026-08-07T23:15:57.553833Z","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":"2026-08-07T23:15:56.830525Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.830525Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:4f8d2ed4cbd39baae9a43ca354fca49b4ac84d8deaea7680ef4329f29ad6a9c6","observation_id":"4e666a2d-6156-4e1d-b5d0-54fad59d0f85","resolution":{"observed_at":"2026-08-07T23:15:56.830525Z","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":"2026-08-07T23:15:56.834570Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.834570Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:d2a324956871efc48b9e64f22a4670660b410292436adc7d4018e9c76f8dfbfc","observation_id":"4cde512c-79d7-4d71-860d-3f00cb8f21c0","resolution":{"observed_at":"2026-08-07T23:15:56.834570Z","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":"2026-08-07T23:15:56.838392Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.838392Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:7c34000c8d2d783efc57e230ed6a5934eb44ab3c11e148d43afec9095cf47b07","observation_id":"f3c80d1d-2145-4787-a7c3-ac3743da6412","resolution":{"observed_at":"2026-08-07T23:15:56.838392Z","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":"2026-08-07T23:15:57.514204Z","title":"Understanding convergence and generalization in federated learning through feature learning theory","venue":null,"work_id":"2c49d9e7-2493-4bac-b967-755222bcf2da","year":2023},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.843362Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:c46e88ed56145fa9ae77a3dac0d645337230b2511c580c7d5338b2492c4eeae0","observation_id":"87ac86fc-8659-4515-b328-e39cd9053506","resolution":{"observed_at":"2026-08-07T23:15:57.518021Z","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":"2026-08-07T23:15:57.502882Z","title":"and Li, Y","venue":null,"work_id":"2343a25d-1349-4075-89b3-9124c942b72a","year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.847722Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:9ece72129d1e3c521fe7597dfd7c3ebd436efa24b8ee29ab6c8cc01977bcae6e","observation_id":"666944e7-97c8-474b-897d-d39c9fafb36e","resolution":{"observed_at":"2026-08-07T23:15:57.506680Z","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":"2026-08-07T23:15:56.852293Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.852293Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:77136a3712ea74e40bdb0c36d29921171e2517da1e7500ac8bf40ef3a8b2a90d","observation_id":"ab4eae3b-a26d-471c-8c26-7569067ce5d8","resolution":{"observed_at":"2026-08-07T23:15:56.852293Z","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":"2026-08-07T23:15:56.855998Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.855998Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:47499964eaff27a10eb30a9a775749f4a1aa027015f607fab3a05ed753a7822f","observation_id":"4f3c6ad3-c09c-40c7-9e44-0240218d9896","resolution":{"observed_at":"2026-08-07T23:15:56.855998Z","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":"2026-08-07T23:15:57.470889Z","title":"H., and Kang, J","venue":null,"work_id":"10bbba6e-ca77-4fb5-b4f9-aa0379079999","year":2020},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.859899Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:e042ec75b30cd6628869c694df8b0b136f6cbbce343191023a7caa505605bceb","observation_id":"bf0b4a37-18b5-42bd-9c99-70b0b9540d7a","resolution":{"observed_at":"2026-08-07T23:15:57.475663Z","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":"2026-08-07T23:15:57.458526Z","title":"and Yuan, Y","venue":null,"work_id":"b7c81e49-3ccb-4ca4-b1e6-1daed9e4e664","year":2017},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.865219Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:3cebd298e06bbc51bf59aeda0dc1a8fd3dd36d6d1adcf1c24505a14438b45847","observation_id":"8e5523ab-738e-4ce5-9ae4-95f4ccacfd69","resolution":{"observed_at":"2026-08-07T23:15:57.462683Z","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":{"arxiv_id":"2410.23672","last_updated":"2024-10-31T06:41:10Z","snapshot_observed_at":"2026-07-06T19:42:42.901684Z","submitted_at":"2024-10-31T06:41:10Z","title":"Provable Benefit of Cutout and CutMix for Feature Learning","version":1},"cited_work":{"arxiv_id":"2410.23672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.23672","snapshot_observed_at":"2026-08-07T23:15:57.240370Z","title":"Provable Benefit of Cutout and CutMix for Feature Learning","venue":"cs.LG","work_id":"ec3df49c-ed2c-4aa4-ab23-581801f38ae1","year":2024},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.868928Z"},"links":{"cited_paper":"/paper/2410.23672","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:1c42f8d9aca66aa54eb61f0c57ace4b588984fe7d9fa693f7eb776934f2642d3","observation_id":"706e738c-c0f7-436e-aaf2-4756b4a3dfa1","resolution":{"observed_at":"2026-08-07T23:15:57.249362Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-07T23:15:57.445716Z","title":"A unified analysis of mixed sample data augmentation: A loss function perspective","venue":null,"work_id":"fb82290e-b385-430d-b039-a15c6946b96a","year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.872842Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:6a315dcaac1d44e5248443fce09c5d261640937801a24b02706e48c8c240b8bf","observation_id":"094c5727-7ff6-421f-aa76-117eeaff5809","resolution":{"observed_at":"2026-08-07T23:15:57.450345Z","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":"2026-08-07T23:15:57.430249Z","title":"Does data augmentation lead to positive margin? In International Conference on Machine Learning, pp.\\ 5321--5330","venue":null,"work_id":"31224909-a740-4e24-9874-796b7acf5f76","year":2019},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.877397Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:2616c5de84a9e07ee7479350778cb9354f6ab526186d5d979a0e9dfe2d79d49f","observation_id":"6feda57f-5e2a-44e8-8a3d-3ce2daaafa78","resolution":{"observed_at":"2026-08-07T23:15:57.436423Z","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":"2026-08-07T23:15:57.416246Z","title":"A., Stimberg, F., Wiles, O., and Mann, T","venue":null,"work_id":"bde846ff-dc69-4437-a878-cf29e54793a4","year":2021},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:56.938465Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:4f842a778a1115b79c12e3212536016d1fb743c507d90301a5471bffbca1c39f","observation_id":"acdc67b7-9290-407e-b565-41ec7577cf57","resolution":{"observed_at":"2026-08-07T23:15:57.420165Z","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":"2026-08-07T23:15:57.094570Z","title":"R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.094570Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:5983ddcbb21a8383e007559beb5fe2364b61ed186f3d9bcfc0f9eeadc8cb61d5","observation_id":"b212bbda-47b8-4830-85e8-ae0ad9be5802","resolution":{"observed_at":"2026-08-07T23:15:57.094570Z","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":"2026-08-07T23:15:57.397470Z","title":"Data augmentation as feature manipulation","venue":null,"work_id":"a378638b-f619-4292-8106-d068fec82ebe","year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.098952Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:2f936fe7fbdd35bbab096fca4c063b704abc46ef486bdf1fea4f5aaf007b8ae6","observation_id":"80a20dde-6ac2-44c5-9cfe-c66d416ec167","resolution":{"observed_at":"2026-08-07T23:15:57.401569Z","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":"2026-08-07T23:15:57.102345Z","title":"and Khoshgoftaar, T","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.102345Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:85650d51505b5ab80de698fcd56fac1dccdf78693d11c3251c6ad0f7d282ac14","observation_id":"29bdba32-ec8d-4656-a601-710c06c8a8aa","resolution":{"observed_at":"2026-08-07T23:15:57.102345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-07T23:15:57.107181Z","title":"and Zisserman, A","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.107181Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:cf9af14cf1dfe7d963a9279032c1fe0f212790abb7f616b05855a444e6cd3f81","observation_id":"d337d8f1-327b-4a01-8c0e-22675721eba4","resolution":{"observed_at":"2026-08-07T23:15:57.107181Z","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":"2026-08-07T23:15:57.111706Z","title":"Dropout: a simple way to prevent neural networks from overfitting","venue":null,"work_id":null,"year":1929},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.111706Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:10311c564b87d20960c9ac62c0c34bd68bb97dc69d59badf60506be7889d9553","observation_id":"2024db46-cdcb-47e6-b80a-b7c40de46cac","resolution":{"observed_at":"2026-08-07T23:15:57.111706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.01791","last_updated":"2021-07-27T13:02:06Z","snapshot_observed_at":"2026-08-07T13:45:16.085605Z","submitted_at":"2020-06-02T17:18:34Z","title":"SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.01791","snapshot_observed_at":"2026-08-07T23:15:57.116208Z","title":"Saliencymix: A saliency guided data augmentation strategy for better regularization","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.116208Z"},"links":{"cited_paper":"/paper/2006.01791","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:33f81b9bb29ef3ebfd4d2a2ff2acb058e6677904196ed291856f199d2e4d693c","observation_id":"01710d71-2e90-4185-855f-546cef80f340","resolution":{"observed_at":"2026-08-07T23:15:57.116208Z","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":"2026-08-07T23:15:57.368836Z","title":"C., Murino, V., and Savarese, S","venue":null,"work_id":"cd79bfa9-c9ac-4fbd-94bc-6c8a950b0cec","year":2018},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.120866Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:575895cea27209a0a1d9d2a08fe3b433e53fea84bcce30aca3d65a0381700e00","observation_id":"ccf0bbfb-f1a1-409c-8a02-c8b003e092c9","resolution":{"observed_at":"2026-08-07T23:15:57.373337Z","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":"2026-08-07T23:15:57.124355Z","title":"and Li, Y","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.124355Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:df6bc80fb4d9dc7cbec3ee72c1048abcabfe2a63b165db5fd7b31a9b1ca1b94b","observation_id":"41b1aacc-20c8-45a9-8f0a-b5e62d89cc8d","resolution":{"observed_at":"2026-08-07T23:15:57.124355Z","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":"2026-08-07T23:15:57.346903Z","title":"and Li, Y","venue":null,"work_id":"732ee52d-664b-49d3-a9cf-576e76748af9","year":2022},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.128795Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:176184325ae57052dbdb5a87e21716628e018a5f06f060cd93b04035012992c5","observation_id":"9b4e7eef-c714-4bb3-a288-a08432db95d7","resolution":{"observed_at":"2026-08-07T23:15:57.351054Z","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":"2026-08-07T23:15:57.133926Z","title":"J., Chun, S., Choe, J., and Yoo, Y","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.133926Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:fe32b778dfc264028e60c3690cc92751f6385c0b7821f79af44a36b903b67a9d","observation_id":"3a7a988e-0e2f-4be4-b8e3-d760461a91bf","resolution":{"observed_at":"2026-08-07T23:15:57.133926Z","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":"2026-08-07T23:15:57.326930Z","title":"Understanding deep learning (still) requires rethinking generalization","venue":null,"work_id":"dd03a91b-9033-4dc9-a995-e6f5c7d52b49","year":2021},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.138423Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:82a8be6074e509ad492bb8f0187e585d1bd1231234ffc6023ec8315340ca3967","observation_id":"d6f30f52-2955-4fd4-9f4b-7b279b67c71f","resolution":{"observed_at":"2026-08-07T23:15:57.331341Z","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":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-07-06T06:06:04.571585Z","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":"2026-08-07T23:15:57.142901Z","title":"mixup: Beyond empirical risk minimization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.142901Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:86a1533d4205c75b6a941a5cb463bd54aa6d1d11456d6182a588cd98b8c74fb4","observation_id":"5dbdd416-3fda-429f-8ef5-870e758317e5","resolution":{"observed_at":"2026-08-07T23:15:57.142901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.04819","last_updated":"2021-03-17T19:43:43Z","snapshot_observed_at":"2026-08-07T03:59:58.575793Z","submitted_at":"2020-10-09T21:38:14Z","title":"How Does Mixup Help With Robustness and Generalization?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.04819","snapshot_observed_at":"2026-08-07T23:15:57.147380Z","title":"How does mixup help with robustness and generalization? arXiv preprint arXiv:2010.04819, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.147380Z"},"links":{"cited_paper":"/paper/2010.04819","citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:cace7de8e5251e8e51cbc5703c42d42988951406a0ffb2bf9cace3c81b368c96","observation_id":"479b3b0a-8bfa-4093-bf14-18d7283b97f8","resolution":{"observed_at":"2026-08-07T23:15:57.147380Z","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":"2026-08-07T23:15:57.313377Z","title":"The benefits of mixup for feature learning","venue":null,"work_id":"b4165e46-43f7-4c19-9b4d-b57e3ce83ed2","year":2023},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.152048Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:4ac245d761fd04b6e4fb1be6244d90dffd15f75cc027f409a1c41ee1e6006ee4","observation_id":"d648a3a5-1ef4-45aa-82f7-8a05dca17ea6","resolution":{"observed_at":"2026-08-07T23:15:57.318074Z","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":"2026-08-07T23:15:57.156112Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T23:15:57.156112Z"},"links":{"citing_paper":"/paper/2502.08940"},"observation_digest":"sha256:80ad1f6d706abb765797970cad8a8b334534193a7c0b2c5af97dadb3b6dc4bec","observation_id":"326a36ab-1142-4a83-beae-9a4e6912286e","resolution":{"observed_at":"2026-08-07T23:15:57.156112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.08940","last_updated":"2025-02-13T03:41:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T23:05:56.084789Z","submitted_at":"2025-02-13T03:41:50Z","title":"Towards Understanding Why Data Augmentation Improves Generalization"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":1,"verified_fuzzy":20},"total_outbound_references":43},"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 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.08940."}