{"as_of":"2026-08-15T22:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ad6e7b73920198d814b984ecd8bdbab74af67a0a3528ac356c7face153ea2e80","coverage":[{"denominator":86,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":86,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:06:17.047011Z","state":"measured"},{"denominator":89,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":89,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:56:15.655803Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T20:08:55.762533Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13573","snapshot_observed_at":"2026-08-07T04:56:15.655803Z","title":"Seeking consistent flat minima for better domain generalization via refining loss landscapes","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09446","last_updated":"2025-06-11T06:52:36Z","snapshot_observed_at":"2026-08-13T19:21:18.043484Z","submitted_at":"2025-06-11T06:52:36Z","title":"Harmonizing and Merging Source Models for CLIP-based Domain Generalization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:56:15.655803Z"},"links":{"cited_paper":"/paper/2412.13573","citing_paper":"/paper/2506.09446"},"observation_digest":"sha256:cc54d7df628832e5391c757be0542932ab8f96f76d925d7709536ad6e56a7fb4","observation_id":"b49071f0-387a-4158-a707-ba9ba70341be","resolution":{"observed_at":"2026-08-07T04:56:15.655803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"cited_work":{"arxiv_id":"2412.13573","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.13573","snapshot_observed_at":"2026-07-03T20:08:55.762533Z","title":"arXiv preprint arXiv:2412.13573 , year=","venue":null,"work_id":"9662f729-d167-44be-9ed0-8e82fb708317","year":null},"citing_paper":{"arxiv_id":"2606.17649","last_updated":"2026-06-16T08:07:42Z","snapshot_observed_at":"2026-08-12T16:40:45.379489Z","submitted_at":"2026-06-16T08:07:42Z","title":"A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-06-27T01:50:04.758303Z"},"links":{"cited_paper":"/paper/2412.13573","citing_paper":"/paper/2606.17649"},"observation_digest":"sha256:20f2d402ce98d4763caa038fcdee02f622bf11516a4b82bb1ec40d194ef581af","observation_id":"cf329a04-60a2-437c-8de6-77e56504f203","resolution":{"observed_at":"2026-07-03T19:28:52.342481Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"cited_work":{"arxiv_id":"2412.13573","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.13573","snapshot_observed_at":"2026-07-03T20:08:55.762533Z","title":"arXiv preprint arXiv:2412.13573 , year=","venue":null,"work_id":"9662f729-d167-44be-9ed0-8e82fb708317","year":null},"citing_paper":{"arxiv_id":"2606.17660","last_updated":"2026-06-16T08:21:21Z","snapshot_observed_at":"2026-08-14T07:45:37.810908Z","submitted_at":"2026-06-16T08:21:21Z","title":"TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-06-27T01:41:21.137727Z"},"links":{"cited_paper":"/paper/2412.13573","citing_paper":"/paper/2606.17660"},"observation_digest":"sha256:ac3997dd4c0d51a0a9647387aaff961376f77db52970c7bcb691d1184426c6c4","observation_id":"f7511c21-f0b5-4547-9aba-43608fe4b077","resolution":{"observed_at":"2026-07-03T20:08:55.764911Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.13573/citation-record","integrity":"/paper/2412.13573/integrity","json":"/paper/2412.13573/citation-record.json","paper":"/paper/2412.13573"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.02893","last_updated":"2020-03-27T19:07:58Z","snapshot_observed_at":"2026-07-06T08:05:24.076802Z","submitted_at":"2019-07-05T15:26:26Z","title":"Invariant Risk Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.02893","snapshot_observed_at":"2026-08-11T13:06:16.702688Z","title":"Invariant risk minimization","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.702688Z"},"links":{"cited_paper":"/paper/1907.02893","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:8698fb3aa3259877f9498ed3c217b4dd47693576849e8e05af3016caa95b30c2","observation_id":"2de3ec4c-0132-4b20-bb0c-9b9988551093","resolution":{"observed_at":"2026-08-11T13:06:16.702688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.08529","last_updated":"2022-03-15T23:33:33Z","snapshot_observed_at":"2026-08-15T16:13:57.252878Z","submitted_at":"2021-10-16T09:44:06Z","title":"Sharpness-Aware Minimization Improves Language Model Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.08529","snapshot_observed_at":"2026-08-11T13:06:16.708156Z","title":"Sharpness- aware minimization improves language model generaliza- tion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.708156Z"},"links":{"cited_paper":"/paper/2110.08529","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:a9c9c8c59883807c58b6caf0dd5c2b90ac98301d70db390d75d06b8a0432c518","observation_id":"6e541882-1b0f-4466-8b5c-3be748282e2d","resolution":{"observed_at":"2026-08-11T13:06:16.708156Z","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":"2026-08-11T13:06:16.712768Z","title":"Decaug: Out-of-distribution generalization via decomposed feature representation and semantic augmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.712768Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:1e69698b6ba5c8f662cfe6cf5b4de2adae53eed860b8cec7cae085d281989b45","observation_id":"7d4f9e9c-f420-42fc-9787-328e6623fe8f","resolution":{"observed_at":"2026-08-11T13:06:16.712768Z","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":"2026-08-11T13:06:16.716824Z","title":"Nas-ood: Neural ar- chitecture search for out-of-distribution generalization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.716824Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:bc1aa53b07b715be0700e658bfbec7ecb92f87ae97f74346cda3bed419bd0d57","observation_id":"4e649193-f65a-4914-9c98-8cef9e031e93","resolution":{"observed_at":"2026-08-11T13:06:16.716824Z","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":"2026-08-11T13:06:16.720848Z","title":"Metareg: Towards domain generalization using meta- regularization","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.720848Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:d966bf6d5166d59e5e1b811f1ee9c38b7b61ef9fee80512d219e9481ef2b125a","observation_id":"88a4e4c3-6fa0-41f5-a87a-20eabc961f3a","resolution":{"observed_at":"2026-08-11T13:06:16.720848Z","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":"2026-08-11T13:06:16.724941Z","title":"Recognition in terra incognita","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.724941Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:082f349bdd3a52c7b575a355b1b63f55f3f1d46c755e07bf701ddc2708e42cbb","observation_id":"8eb77844-c6ac-4947-ac0a-472df128f315","resolution":{"observed_at":"2026-08-11T13:06:16.724941Z","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":"2026-08-11T13:06:16.729049Z","title":"Domain generalization by marginal transfer learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.729049Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:57beec066eb696f703ced0fd67d3fd55f02534ea99f6b5a28309433280aaae56","observation_id":"8108ed33-7376-4bab-af60-09ca7705de8c","resolution":{"observed_at":"2026-08-11T13:06:16.729049Z","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":"2026-08-11T13:06:16.732773Z","title":"Ex- ploiting domain-specific features to enhance domain gener- alization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.732773Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:328a405640a28054db150a346596fcf4e220892a64110e1e7fecceae08ca5ffb","observation_id":"c286735e-5b65-42af-92c1-8da3d4459ca9","resolution":{"observed_at":"2026-08-11T13:06:16.732773Z","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":"2026-08-11T13:06:18.034984Z","title":"Swad: Domain generalization by seeking flat minima","venue":null,"work_id":"dfa66cef-b8e4-4a41-9b32-ff794b4e14ae","year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.736711Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:e1a2a2c551a3e8c66f85f14834555dc313b8ea72429a2ccf9fe2da496e89d372","observation_id":"d4b5ee9c-10f9-41c0-aabf-0ee791f2ad1f","resolution":{"observed_at":"2026-08-11T13:06:18.038962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.10789","last_updated":"2022-07-22T06:16:48Z","snapshot_observed_at":"2026-08-15T15:49:48.758451Z","submitted_at":"2022-03-21T08:07:46Z","title":"Domain Generalization by Mutual-Information Regularization with Pre-trained Models","version":2},"cited_work":{"arxiv_id":"2203.10789","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.10789","snapshot_observed_at":"2026-08-11T13:06:17.382693Z","title":"Domain Generalization by Mutual-Information Regularization with Pre-trained Models","venue":"cs.LG","work_id":"3b36b8d5-06a4-4577-8b80-cde265857115","year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.741103Z"},"links":{"cited_paper":"/paper/2203.10789","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:dc5ba71dceab1632b3a781479ae64253f973917be2166df6fdd14cee0376fff6","observation_id":"40f362c7-8a8f-4507-b7ba-879df371404b","resolution":{"observed_at":"2026-08-11T13:06:17.387502Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:18.023270Z","title":"Entropy-sgd: Bias- ing gradient descent into wide valleys","venue":null,"work_id":"025bd1fb-5542-4276-a93d-e1b5ddf56328","year":2019},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.745412Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:227fb3a6c9b5a44790f49ff216057faae2be5570adf8f0926ae31ef5b1cda77a","observation_id":"116246c2-c9e3-4a2f-849c-b8f987b90328","resolution":{"observed_at":"2026-08-11T13:06:18.027469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:18.007671Z","title":"Sharpness-aware training for free","venue":null,"work_id":"dfbfc8c7-cc32-4dac-bfc4-89167d63d921","year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.749489Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:eba3c089c1c37049c45a8740eba5c29f0673043a62d7937b48f5a223f5a0b9d1","observation_id":"b6652b4d-6f78-4684-a172-842868f58ad6","resolution":{"observed_at":"2026-08-11T13:06:18.014335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.994493Z","title":"Learning to learn with variational information bottleneck for domain general- ization","venue":null,"work_id":"5acc09c5-1015-4f9c-8d99-089378d38b91","year":2020},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.753353Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:4cce649d853cb32d199e32ba1d991167d71593fc00b307d88b39bf68b8284db1","observation_id":"1da813a8-b789-4fc2-9570-2f92fa83e720","resolution":{"observed_at":"2026-08-11T13:06:17.998415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.11008","last_updated":"2017-10-19T03:39:56Z","snapshot_observed_at":"2026-08-14T21:08:53.042410Z","submitted_at":"2017-03-31T17:56:41Z","title":"Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.11008","snapshot_observed_at":"2026-08-11T13:06:16.756945Z","title":"Computing nonvacuous generalization bounds for deep (stochastic) neu- ral networks with many more parameters than training data","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.756945Z"},"links":{"cited_paper":"/paper/1703.11008","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:c298da569fd56bb6a4e322e854246a34849f1660f07c4a1c40e4725a18518360","observation_id":"168ebc79-f403-4d5b-9009-84c0ab01cf20","resolution":{"observed_at":"2026-08-11T13:06:16.756945Z","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":"2026-08-11T13:06:16.761294Z","title":"Unbiased met- ric learning: On the utilization of multiple datasets and web images for softening bias","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.761294Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:ac14787261ffd532e7a1dee7edc005acd8877b5c0bff9c21b7ba65bfaa53ce26","observation_id":"4ab65454-05d4-4bf8-b7e9-466035eb952c","resolution":{"observed_at":"2026-08-11T13:06:16.761294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01412","last_updated":"2021-04-29T16:44:25Z","snapshot_observed_at":"2026-08-15T12:34:14.131778Z","submitted_at":"2020-10-03T19:02:10Z","title":"Sharpness-Aware Minimization for Efficiently Improving Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.01412","snapshot_observed_at":"2026-08-11T13:06:16.765210Z","title":"Sharpness-aware minimization for efficiently improving generalization","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.765210Z"},"links":{"cited_paper":"/paper/2010.01412","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:63fc315ec5eac650150e52c88f709b2fcbb785d1bcf849dfcbcb2389757d63ab","observation_id":"eeb11e02-36ec-4b8b-8ea1-b850dda8d5f5","resolution":{"observed_at":"2026-08-11T13:06:16.765210Z","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":"2026-08-11T13:06:17.975588Z","title":"Domain-adversarial train- ing of neural networks","venue":null,"work_id":"f81e18d6-7285-440a-bbe1-445838896ccd","year":2016},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.769619Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:6575d9938aabe8bdae8a0879aa3c3c099f172c4851e94fddd0749622ece3a26c","observation_id":"552e58cd-0e50-4810-bdb2-550226b162d7","resolution":{"observed_at":"2026-08-11T13:06:17.979733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09125","last_updated":"2022-03-17T07:03:37Z","snapshot_observed_at":"2026-08-13T16:20:52.264753Z","submitted_at":"2022-03-17T07:03:37Z","title":"Are Vision Transformers Robust to Spurious Correlations?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09125","snapshot_observed_at":"2026-08-11T13:06:16.773452Z","title":"Are vi- sion transformers robust to spurious correlations? arXiv preprint arXiv:2203.09125, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.773452Z"},"links":{"cited_paper":"/paper/2203.09125","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0e9e73a09f238dc7279a6506c3745c324bf221eed5a0015a91b4d5be9f1576c7","observation_id":"f904ab90-b01a-4826-adde-b9d9d28ba7f3","resolution":{"observed_at":"2026-08-11T13:06:16.773452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01434","last_updated":"2020-07-02T23:08:07Z","snapshot_observed_at":"2026-08-15T07:23:40.086979Z","submitted_at":"2020-07-02T23:08:07Z","title":"In Search of Lost Domain Generalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01434","snapshot_observed_at":"2026-08-11T13:06:16.777351Z","title":"In search of lost domain generalization","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.777351Z"},"links":{"cited_paper":"/paper/2007.01434","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0392906a824a3012368dbd5e9fe422c75ba8c387384bbd4d1614d2a89e0d87a6","observation_id":"9d680405-af82-4265-aabf-7b9e79e7f7e6","resolution":{"observed_at":"2026-08-11T13:06:16.777351Z","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":"2026-08-11T13:06:17.964384Z","title":"Simplifying neu- ral nets by discovering flat minima","venue":null,"work_id":"ad458ae2-8191-421e-b833-0c6402985177","year":1994},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.781662Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:5c57263bce46ebaa60bddcaf5e17b98721ef08f6b1f562a1bee55cd057063672","observation_id":"a3eff836-32e0-4954-9ee9-69408778d17e","resolution":{"observed_at":"2026-08-11T13:06:17.968397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.951642Z","title":"Flat minima","venue":null,"work_id":"24d19b1d-4905-4623-b195-67bdb792bd1b","year":1997},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.785188Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:734fdf8bc194861003db7ec80d995ca7d098a832d8edeae94a75fcfea1be42c5","observation_id":"04ec061e-6d4a-4d12-94d0-58c3f145f556","resolution":{"observed_at":"2026-08-11T13:06:17.956091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.939148Z","title":"Self-challenging improves cross-domain generalization","venue":null,"work_id":"ee84e3c9-9b64-47d2-9e70-4b126b8b4493","year":2020},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.789028Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:7d93f7fffe9b24145b23ca67670fbecd3d1065c8d8acd1d16b81e7eab0d7c8c3","observation_id":"309dd2d8-1851-4d83-a89d-e525070db42a","resolution":{"observed_at":"2026-08-11T13:06:17.943466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05407","last_updated":"2019-02-25T14:18:11Z","snapshot_observed_at":"2026-08-14T19:36:09.254749Z","submitted_at":"2018-03-14T17:09:27Z","title":"Averaging Weights Leads to Wider Optima and Better Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05407","snapshot_observed_at":"2026-08-11T13:06:16.792735Z","title":"Averaging weights leads to wider optima and better generalization","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.792735Z"},"links":{"cited_paper":"/paper/1803.05407","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b898fea7a73647aa04923751f65bd3fa1f62b08ea7471491b1cdb8ea9fcab9aa","observation_id":"d559c661-b681-4180-b004-8c5acc101590","resolution":{"observed_at":"2026-08-11T13:06:16.792735Z","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":"2026-08-11T13:06:17.925806Z","title":"A single-step, sharpness- aware minimization is all you need to achieve efficient and accurate sparse training","venue":null,"work_id":"86a1a7ac-842c-40b8-8fe0-de630adf519b","year":2024},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.796752Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b9463b83bbf7aa0c517b147e4144e8de64b37d20bbf6f1e06aa47ac8a22c98c7","observation_id":"0e8dac28-4f9c-4052-b4c5-75f748ed81a9","resolution":{"observed_at":"2026-08-11T13:06:17.930575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12119","last_updated":"2022-07-20T15:47:22Z","snapshot_observed_at":"2026-08-14T08:35:48.463468Z","submitted_at":"2022-03-23T01:17:16Z","title":"Visual Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.12119","snapshot_observed_at":"2026-08-11T13:06:16.800506Z","title":"Vi- sual prompt tuning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.800506Z"},"links":{"cited_paper":"/paper/2203.12119","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:80f1360e15e237d4e451ee9eadd68bebf7ead4eca2984c86f662e871b5d6f1a1","observation_id":"7bd05c46-fde0-438e-a5d8-051eedb0e5f6","resolution":{"observed_at":"2026-08-11T13:06:16.800506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.14647","last_updated":"2023-04-28T06:23:32Z","snapshot_observed_at":"2026-08-14T14:23:08.180200Z","submitted_at":"2023-04-28T06:23:32Z","title":"An Adaptive Policy to Employ Sharpness-Aware Minimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.14647","snapshot_observed_at":"2026-08-11T13:06:16.804721Z","title":"An adaptive policy to employ sharpness-aware minimization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.804721Z"},"links":{"cited_paper":"/paper/2304.14647","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:34e093398a3f134a6b661aad671d78bd1e77e7a150d6caf8de4f4975b2ed78dd","observation_id":"4ad5217a-fcb3-44c4-b9c5-7163a1490261","resolution":{"observed_at":"2026-08-11T13:06:16.804721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.02178","last_updated":"2019-12-04T18:58:26Z","snapshot_observed_at":"2026-08-13T16:43:52.729924Z","submitted_at":"2019-12-04T18:58:26Z","title":"Fantastic Generalization Measures and Where to Find Them","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.02178","snapshot_observed_at":"2026-08-11T13:06:16.808652Z","title":"Fantastic generalization measures and where to find them","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.808652Z"},"links":{"cited_paper":"/paper/1912.02178","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:a671793293eb47cd8be5d816cb0f13c982029bfcdbc0350877b084fe4da3c967","observation_id":"53693cc0-89e0-49fd-99db-857da3db3106","resolution":{"observed_at":"2026-08-11T13:06:16.808652Z","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":"2026-08-11T13:06:17.909859Z","title":"When do flat minima optimizers work? Advances in Neural Information Processing Systems , 35:16577–16595,","venue":null,"work_id":"5004f70f-e539-4870-9778-1bb4bf2154e9","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.812637Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:2b05a96d73a3962c9129f3bbd28aac0fe18d0bb56806eabb1d8ab2e28e6a624d","observation_id":"7f2c3ec0-282a-427b-958a-cc5d6a2df509","resolution":{"observed_at":"2026-08-11T13:06:17.916182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.894872Z","title":"Deep learn- ing for NLP and speech recognition","venue":null,"work_id":"306644ce-5cdc-4ffd-950c-1e3ef1ebc885","year":2019},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.816486Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:8eeb02f8da3100a53f664131f00323e4353a7d6d7977eaddb4f38519f73d0e55","observation_id":"be5f59cc-b727-49ff-822b-72090204dac7","resolution":{"observed_at":"2026-08-11T13:06:17.899205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.04836","last_updated":"2017-02-09T20:38:16Z","snapshot_observed_at":"2026-08-15T20:45:29.277746Z","submitted_at":"2016-09-15T20:03:06Z","title":"On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.04836","snapshot_observed_at":"2026-08-11T13:06:16.820289Z","title":"On large- batch training for deep learning: Generalization gap and sharp minima","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.820289Z"},"links":{"cited_paper":"/paper/1609.04836","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:ccb1d52ce9db0899a59dc39e2b6fca820735249e20279e4e19527d13d6c20e47","observation_id":"2f4b8e4a-41f5-4944-ae19-bca676eb52f6","resolution":{"observed_at":"2026-08-11T13:06:16.820289Z","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":"2026-08-11T13:06:17.883089Z","title":"Selfreg: Self-supervised contrastive regu- larization for domain generalization","venue":null,"work_id":"e0b36525-5ac9-462b-9aa4-57e8920d0048","year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.824386Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:99a5c715d3c260cafd8281344e9028d49748c0bf82072ab4744935e46c0543a2","observation_id":"9571cb4c-937b-4a9f-b875-ba1613f0019a","resolution":{"observed_at":"2026-08-11T13:06:17.887193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-11T13:06:16.828439Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.828439Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:27ba3bda860b17eb033c23eca17e958dc3ce56ae328033c4deadd1b6815fd7bd","observation_id":"c2ce4870-e87c-4c35-9da5-c8464c4ee884","resolution":{"observed_at":"2026-08-11T13:06:16.828439Z","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":"2026-08-11T13:06:17.871565Z","title":"Out-of-distribution general- ization via risk extrapolation (rex)","venue":null,"work_id":"ef26042d-4ce4-4baf-ac64-7fd6e9970da2","year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.832512Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:8b0fb85948dbe2599b0ab0a4117ec07fc42d7865411cbb09392a0893a4cff0de","observation_id":"bd71cf7c-f5ed-4836-96a2-30150dc3a4a6","resolution":{"observed_at":"2026-08-11T13:06:17.875578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.860528Z","title":"Learning common and specific visual prompts for domain generalization","venue":null,"work_id":"fd3b0101-ea6f-41ab-9ee7-e3e760bf0c60","year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.836547Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:fee17143bb38e0b10c34c886259109157f571b3a3a089961a31a302caf1effbe","observation_id":"f06cc496-1b43-47db-b6db-32a6003eea4b","resolution":{"observed_at":"2026-08-11T13:06:17.864471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.848482Z","title":"Invariant informa- tion bottleneck for domain generalization","venue":null,"work_id":"95951282-bc32-4197-b9d6-ae691fa9dafd","year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.840344Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:6358401c85387ed51dde0c5f6538f62325f5e9e824266d46b4bd88d2ca2c1e0b","observation_id":"dc3f59c9-1d4e-4932-a64d-958600b6c7de","resolution":{"observed_at":"2026-08-11T13:06:17.853012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:16.843992Z","title":"Deeper, broader and artier domain generaliza- tion","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.843992Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:77723060817504088a5aaf1ed3dcf9d114be79e912563e0f3aaf57eeb7e0ad9e","observation_id":"9ec12332-f609-4954-b178-ce3b629a2dde","resolution":{"observed_at":"2026-08-11T13:06:16.843992Z","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":"2026-08-11T13:06:17.829529Z","title":"Learning to generalize: Meta-learning for do- main generalization","venue":null,"work_id":"cc3087ad-4b46-457d-9c56-c436a93aaf7c","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.847584Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:1cbd323e711e7164938ce52c1b192e33da6682a43b0008ba2df1641f80ee4a78","observation_id":"50d672a8-0872-4e06-b242-92e2d3bc17fc","resolution":{"observed_at":"2026-08-11T13:06:17.833830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.817142Z","title":"Domain generalization with adversarial feature learning","venue":null,"work_id":"b3a7ff7c-8b1f-4705-8c41-b1d3ce989159","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.851183Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:d32311b0dd49c0b0246f75e246bfba3bad8bb7d3f1688b691e384893a17a8905","observation_id":"55cc50bf-e0a5-4302-b1c6-572a3f64107a","resolution":{"observed_at":"2026-08-11T13:06:17.821440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.803869Z","title":"Visualizing the loss landscape of neural nets.Ad- vances in neural information processing systems , 31, 2018","venue":null,"work_id":"5d4cb1a5-430a-48dc-b277-d4bbe0734c3d","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.854650Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:7d24c4bc987fcaa6b6f41ff177a69a3c06317826fa652f5a915131c729bb9517","observation_id":"ee464223-ef54-4c8a-8c84-6ac3d31b26a4","resolution":{"observed_at":"2026-08-11T13:06:17.808411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.789201Z","title":"Domain generalization via conditional invari- ant representations","venue":null,"work_id":"8d46e057-846e-45c6-9049-0fe183a0e8b4","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.858138Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:d117f84b6964f64e2c0d4cd09ced494c94e014ca893b05ac6fee776975dd90a6","observation_id":"35c91578-8dfa-4f56-a79a-5707417a2a8c","resolution":{"observed_at":"2026-08-11T13:06:17.793304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.776100Z","title":"Adapting neural architectures between domains","venue":null,"work_id":"f8bf158d-4c51-4d05-9b63-dd5954fc7b98","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.861799Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:400a4e09ea703efa112a7de816ecfe1f2e57c7c930020207d234619d2322c4f4","observation_id":"f0725c46-a1dc-40ec-925d-3b20aab9ccf4","resolution":{"observed_at":"2026-08-11T13:06:17.780128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14507","last_updated":"2024-09-18T09:25:20Z","snapshot_observed_at":"2026-08-13T13:49:10.445121Z","submitted_at":"2024-07-19T17:59:03Z","title":"Internal Consistency and Self-Feedback in Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.14507","snapshot_observed_at":"2026-08-11T13:06:16.865710Z","title":"Internal consistency and self-feedback in large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.865710Z"},"links":{"cited_paper":"/paper/2407.14507","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:a8c579881d52777374c6141a92ff260000eeb9000c8e010d5d412901049411a7","observation_id":"4dffe98d-9905-4a75-ab8c-0dade4739916","resolution":{"observed_at":"2026-08-11T13:06:16.865710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03091","last_updated":"2017-03-09T01:04:07Z","snapshot_observed_at":"2026-08-14T21:12:46.798997Z","submitted_at":"2017-03-09T01:04:07Z","title":"Deep Learning applied to NLP","version":1},"cited_work":{"arxiv_id":"1703.03091","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.03091","snapshot_observed_at":"2026-08-11T13:06:17.244041Z","title":"Deep Learning applied to NLP","venue":"cs.CL","work_id":"5f17a38e-1ed2-477f-a108-c830114f29a4","year":2017},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.869524Z"},"links":{"cited_paper":"/paper/1703.03091","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b31264928edc7b89ed05de42bbccf69b99e13c2d4d2eee29102d3acbc6a0f21b","observation_id":"b511042c-4329-4f84-8c43-92d4a6338950","resolution":{"observed_at":"2026-08-11T13:06:17.248613Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.763731Z","title":"Self-refine: It- erative refinement with self-feedback","venue":null,"work_id":"dd147d84-a062-4634-a916-2d650cc7b57e","year":2024},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.873226Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0447cc4b3161937f0775ece12ff099f01e5b0b5b5ac2d7c2798c1e16668461ac","observation_id":"1eccf4fa-78aa-4f83-aa85-d32d8cf0b4cc","resolution":{"observed_at":"2026-08-11T13:06:17.767749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1601.04114","last_updated":"2016-02-04T23:22:52Z","snapshot_observed_at":"2026-08-14T22:14:25.543724Z","submitted_at":"2016-01-16T02:24:17Z","title":"Training Recurrent Neural Networks by Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1601.04114","snapshot_observed_at":"2026-08-11T13:06:16.876785Z","title":"Training recurrent neural networks by dif- fusion","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.876785Z"},"links":{"cited_paper":"/paper/1601.04114","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:da33e0dd2cb1fa38e572a2fb51897a1dc1ef10bee55d7acfc9d7a0b3884e2fbe","observation_id":"a777410f-ec2c-4a21-a662-6dda87156881","resolution":{"observed_at":"2026-08-11T13:06:16.876785Z","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":"2026-08-11T13:06:17.750133Z","title":"When does label smoothing help? Advances in neural infor- mation processing systems, 32, 2019","venue":null,"work_id":"7db01660-da35-4702-b8fb-05857828ef4b","year":2019},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.881036Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:cec4463ac6e0df967da00f855530f1ccd21b19e00b91133ae9322a80f44e3076","observation_id":"8ce20c08-bcce-46d8-ba98-070ba7a1cb44","resolution":{"observed_at":"2026-08-11T13:06:17.755802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11645","last_updated":"2021-04-01T02:35:47Z","snapshot_observed_at":"2026-08-15T21:58:30.601713Z","submitted_at":"2019-10-25T12:19:11Z","title":"Reducing Domain Gap by Reducing Style Bias","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11645","snapshot_observed_at":"2026-08-11T13:06:16.884881Z","title":"Reducing domain gap via style- agnostic networks","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.884881Z"},"links":{"cited_paper":"/paper/1910.11645","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:38d675bc060ab50f887990849cc3ff32b86a52282a010af2178a9099a8df3485","observation_id":"c8b86546-c924-44c8-ac2d-21ab89dfe734","resolution":{"observed_at":"2026-08-11T13:06:16.884881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00329","last_updated":"2020-10-24T11:32:18Z","snapshot_observed_at":"2026-08-15T13:25:08.601257Z","submitted_at":"2020-09-01T10:17:48Z","title":"Learning explanations that are hard to vary","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00329","snapshot_observed_at":"2026-08-11T13:06:16.889049Z","title":"Learn- ing explanations that are hard to vary","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.889049Z"},"links":{"cited_paper":"/paper/2009.00329","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:a2e7b24317c88865175bc3e5bb57e25e16fabe923de30f798ed67fd11b0429a5","observation_id":"22660bd2-52a6-4cfa-92ea-6bb9698e7001","resolution":{"observed_at":"2026-08-11T13:06:16.889049Z","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":"2026-08-11T13:06:16.893042Z","title":"Moment matching for multi-source domain adaptation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.893042Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0afba4445cb6f4a9d0aa723e96b2e0a9ac76583007b7f0f0ae4e1a286cff58e9","observation_id":"d5528c53-b8ae-4e23-a931-c4217d13f971","resolution":{"observed_at":"2026-08-11T13:06:16.893042Z","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":"2026-08-11T13:06:17.731164Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"089a575c-bf22-4587-bfea-ebd99467731f","year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.897336Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:bb31f15dd410e65de27bf83a6f5dd49c1d7040c163e0e1189b1e4b64a49606e1","observation_id":"8f62251c-abf6-44d3-b881-a6b45eb9376c","resolution":{"observed_at":"2026-08-11T13:06:17.735583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.08731","last_updated":"2020-04-02T05:40:29Z","snapshot_observed_at":"2026-08-14T08:06:00.989531Z","submitted_at":"2019-11-20T06:43:41Z","title":"Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.08731","snapshot_observed_at":"2026-08-11T13:06:16.901320Z","title":"Distributionally robust neural networks for group shifts: On the importance of regularization for worst- case generalization","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.901320Z"},"links":{"cited_paper":"/paper/1911.08731","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b170840f99e124e953356d59ee2a4dbf12778d68b4dd63c377d87a215a701c43","observation_id":"a6edf4a0-5a94-453f-8c03-aebba5cc63a3","resolution":{"observed_at":"2026-08-11T13:06:16.901320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.09937","last_updated":"2021-07-14T00:07:51Z","snapshot_observed_at":"2026-08-15T07:23:39.190371Z","submitted_at":"2021-04-20T12:55:37Z","title":"Gradient Matching for Domain Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.09937","snapshot_observed_at":"2026-08-11T13:06:16.905742Z","title":"Gradi- ent matching for domain generalization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.905742Z"},"links":{"cited_paper":"/paper/2104.09937","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:2597885040d4d823e2b595a00c42bcaf260bf4400d9faff790275d4cac525a5a","observation_id":"232dc5f4-ac9b-4d2e-8d85-b688c6876850","resolution":{"observed_at":"2026-08-11T13:06:16.905742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19953","last_updated":"2023-06-01T06:50:06Z","snapshot_observed_at":"2026-08-13T11:28:12.789111Z","submitted_at":"2023-05-31T15:37:48Z","title":"Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing","version":2},"cited_work":{"arxiv_id":"2305.19953","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.19953","snapshot_observed_at":"2026-08-11T13:06:17.162724Z","title":"Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing","venue":"cs.SD","work_id":"20b96819-f3fd-46aa-b62d-90ec1a5999e7","year":2023},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.909816Z"},"links":{"cited_paper":"/paper/2305.19953","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:dc479379831bd91ae38ebc442193de2257887237b2d2f2aa973b669fc7934e21","observation_id":"f63fb15f-cdea-4b13-99e6-c87f9ca095e6","resolution":{"observed_at":"2026-08-11T13:06:17.169201Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.716304Z","title":"Deep coral: Correlation alignment for deep domain adaptation","venue":null,"work_id":"8273be45-8f85-4003-be3e-09f8be8e31af","year":2016},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.914173Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:1a0dc815e705898c5acbfad6f727094d08163f0f73c30c11b5204f2382192453","observation_id":"b0a688ea-97f0-4aaa-ba90-32f743186652","resolution":{"observed_at":"2026-08-11T13:06:17.721337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.703067Z","title":"Statistical learning theory","venue":null,"work_id":"c3dfce6b-d442-4795-bece-da36fc3051c0","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.918896Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:5838805675367d6a3ab03bd7f4b5fb3c575b595b635d435c874a0989fa367fce","observation_id":"d37afa9b-1c07-4bd7-bb41-3f14505f3e9a","resolution":{"observed_at":"2026-08-11T13:06:17.707226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.690061Z","title":"Deep hashing network for 10 unsupervised domain adaptation","venue":null,"work_id":"ad984977-8cbd-43ef-bc48-64a3cc5a43d9","year":2017},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.923256Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b4a1fd04d9b4211212f2b31a1b729a69c97dea89ee6fd1c3e63ee5466e84c911","observation_id":"a2c8f9cd-d777-40e7-8cfb-c3db678b2f92","resolution":{"observed_at":"2026-08-11T13:06:17.694424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.677818Z","title":"Generalizing to unseen domains via adversarial data augmentation","venue":null,"work_id":"1c0f80e7-ecb6-4519-bc09-42ee33c57862","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.928816Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:51ddb8c73cfc74956ee77dbd5c385f0c8d2745c244b4509b1b27c870c4701bca","observation_id":"4cc5e32a-4194-4289-8f92-eed7f3547e25","resolution":{"observed_at":"2026-08-11T13:06:17.681986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.665715Z","title":"Deep learning for computer vision: A brief review.Computational intelligence and neuroscience, 2018, 2018","venue":null,"work_id":"338597ce-7214-46b8-9687-169d4096e39e","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.933233Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0714ee22b8e0ac9f474afead25768b40644260645770735de8a81345685c7c0a","observation_id":"7737817b-25ca-4cd5-8b6b-414a119cfac9","resolution":{"observed_at":"2026-08-11T13:06:17.670059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.652486Z","title":"Generalizing to unseen domains: A survey on domain generalization","venue":null,"work_id":"e5d15efa-2745-48cf-9570-795c19a1b373","year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.937168Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:cb37ac7c38a4e658bf4ed93cccd31e1f2691f09e28502395d53cbb9117774cad","observation_id":"2fcef182-687c-45b8-9aa3-ed33de67dbfd","resolution":{"observed_at":"2026-08-11T13:06:17.657023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.639921Z","title":"Deep visual domain adapta- tion: A survey","venue":null,"work_id":"5a9e894b-499a-442c-8991-80810661b5dc","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.940865Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:2a1daba7040909f20bd4a26a227aac8e83e9423c8039781ec07593e5230d0df5","observation_id":"7f8ba0a6-f742-453b-9f74-62477db6215e","resolution":{"observed_at":"2026-08-11T13:06:17.644100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:16.944683Z","title":"Sharpness-aware gradient matching for domain generaliza- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.944683Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:5e5aec53d0f5c11ccf9d74dd459409c1108615db7e1765aa9e1a6a54fbaef2ed","observation_id":"20cab76c-517c-467d-9b79-e7797a5e9fcc","resolution":{"observed_at":"2026-08-11T13:06:16.944683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08727","last_updated":"2023-01-25T08:01:55Z","snapshot_observed_at":"2026-08-13T13:00:26.673136Z","submitted_at":"2023-01-20T18:47:24Z","title":"Neural Architecture Search: Insights from 1000 Papers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.08727","snapshot_observed_at":"2026-08-11T13:06:16.948572Z","title":"Neural architecture search: Insights from 1000 pa- pers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.948572Z"},"links":{"cited_paper":"/paper/2301.08727","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:c0e88e8601ac99e1ede84abe0ac2c08aca468e0225f85df4586762d87909205f","observation_id":"11f52561-6868-487f-894b-707fc76e3618","resolution":{"observed_at":"2026-08-11T13:06:16.948572Z","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":"2026-08-11T13:06:17.621049Z","title":"Delving deep into the gener- alization of vision transformers under distribution shifts","venue":null,"work_id":"03fb1475-c4a0-4df8-9c34-b0fbf78a5566","year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.952941Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:530fb055680ba9481dbfffdb075df11c1d8229eb83c60739fd18aa91e2728d20","observation_id":"3e0ff5a9-429f-4bcf-b519-06ffa773ce72","resolution":{"observed_at":"2026-08-11T13:06:17.625344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","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":"2026-08-11T13:06:16.957026Z","title":"mixup: Beyond empirical risk minimiza- tion","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.957026Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:8e08f6993030478c8d53a076e8e303d411247e90e35589e31642b55a7dba4da3","observation_id":"8ef451c8-c562-4fa1-bbb6-22f759c55c31","resolution":{"observed_at":"2026-08-11T13:06:16.957026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.02931","last_updated":"2021-12-01T18:54:12Z","snapshot_observed_at":"2026-08-14T11:14:52.679055Z","submitted_at":"2020-07-06T17:59:30Z","title":"Adaptive Risk Minimization: Learning to Adapt to Domain Shift","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.02931","snapshot_observed_at":"2026-08-11T13:06:16.960845Z","title":"Adaptive risk minimization: A meta-learning approach for tackling group shift","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.960845Z"},"links":{"cited_paper":"/paper/2007.02931","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:7c25814443d49ed65f7ee6b23cf1267a1644d1eb15a170a0c6677d738b7c56ef","observation_id":"8780e5dd-9385-46ce-9615-64663f4ccc87","resolution":{"observed_at":"2026-08-11T13:06:16.960845Z","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":"2026-08-11T13:06:17.609247Z","title":"Deep stable learning for out-of- distribution generalization","venue":null,"work_id":"03d5255b-a0a4-4173-a6e0-790100ea571d","year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.965186Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:dcc09c6f135bdd07390920c02e94973a8b9bed55d849051df7fa855d06abd4c4","observation_id":"41038aee-3566-414d-b735-031091ddef26","resolution":{"observed_at":"2026-08-11T13:06:17.613368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.597517Z","title":"Flatness-aware minimization for domain generalization","venue":null,"work_id":"3acd42cc-8c3d-495c-9fce-2446edab7a39","year":2023},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.969328Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:f45ecf61e3b8381fbf67c3ae2bf8f40645e537232143c6d5ef7e3bb997ace08b","observation_id":"325e57cd-6fbe-4f5d-bd6a-200b02e13414","resolution":{"observed_at":"2026-08-11T13:06:17.601743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.586269Z","title":"Gradient norm aware minimization seeks first-order flatness and improves generalization","venue":null,"work_id":"40d279d9-5420-42a0-9d40-b8863a79ff0e","year":2023},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.973075Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:42aa4e23a1ffb5198ee1fda068a9330af616e061947346b7f04c5d68d361e92e","observation_id":"647912d7-9d4b-49b2-b346-934b478a8bf3","resolution":{"observed_at":"2026-08-11T13:06:17.590320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.575216Z","title":"Deep learning for environmentally robust speech recognition: An overview of recent developments","venue":null,"work_id":"f42febb6-1497-4ab4-bfb3-b9d94ae20e59","year":2018},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.976721Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:a35765ba353ebdf8e35455a24f170f25b6f33c6503c89c31cdafd50f067f4e45","observation_id":"78340a86-199b-4c9c-a928-6add4c2453d9","resolution":{"observed_at":"2026-08-11T13:06:17.579237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.08914","last_updated":"2022-08-18T15:34:13Z","snapshot_observed_at":"2026-08-13T14:43:13.763952Z","submitted_at":"2022-08-18T15:34:13Z","title":"Prompt Vision Transformer for Domain Generalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.08914","snapshot_observed_at":"2026-08-11T13:06:16.980248Z","title":"Prompt vision transformer for domain generalization","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.980248Z"},"links":{"cited_paper":"/paper/2208.08914","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:26c5dacb2ecfdb4bb591658c4b133d37095aed31e89e541175544a9d25006df3","observation_id":"db101a5d-e22a-4873-a5b5-8d2e04503c15","resolution":{"observed_at":"2026-08-11T13:06:16.980248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02008","last_updated":"2021-04-05T16:58:09Z","snapshot_observed_at":"2026-08-14T01:12:02.544304Z","submitted_at":"2021-04-05T16:58:09Z","title":"Domain Generalization with MixStyle","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02008","snapshot_observed_at":"2026-08-11T13:06:16.984194Z","title":"Domain generalization with mixstyle","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.984194Z"},"links":{"cited_paper":"/paper/2104.02008","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:873459dad56c8114ce698aafa10e2c0c3a4639413db5791c1b16e0b9506891d6","observation_id":"8edb5e9f-a1dc-4b3b-a70c-d50386cdd7fa","resolution":{"observed_at":"2026-08-11T13:06:16.984194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.08065","last_updated":"2022-03-19T15:56:32Z","snapshot_observed_at":"2026-08-15T17:44:52.464745Z","submitted_at":"2022-03-15T16:57:59Z","title":"Surrogate Gap Minimization Improves Sharpness-Aware Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.08065","snapshot_observed_at":"2026-08-11T13:06:16.988331Z","title":"Surrogate gap minimiza- tion improves sharpness-aware training","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.988331Z"},"links":{"cited_paper":"/paper/2203.08065","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b07a261f0c7cc453dfaf62c70bd2d3f40eee4bf3fa46a9f6acc939217c51b87a","observation_id":"5069b185-10d9-4218-bf7b-4ca8f29e972f","resolution":{"observed_at":"2026-08-11T13:06:16.988331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06392","last_updated":"2024-03-11T02:57:27Z","snapshot_observed_at":"2026-08-15T21:53:12.860935Z","submitted_at":"2024-03-11T02:57:27Z","title":"Towards Robust Out-of-Distribution Generalization Bounds via Sharpness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06392","snapshot_observed_at":"2026-08-11T13:06:16.992525Z","title":"Towards robust out-of- distribution generalization bounds via sharpness","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.992525Z"},"links":{"cited_paper":"/paper/2403.06392","citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:89fef03a318142d353121323245de8199c55a24198723cf555b1c9d94c1c88ae","observation_id":"d7476d40-caed-4477-aed9-4c5a7e2726f2","resolution":{"observed_at":"2026-08-11T13:06:16.992525Z","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":"2026-08-11T13:06:17.564117Z","title":"Pac-bayesian model averaging","venue":null,"work_id":"7d19435e-05a5-47fc-a0af-c9519cbaac2d","year":1999},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:16.996696Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:16fa69e05e7a3a402dbb6f44facb9cd0d1a6bccadf8f2b98499da89514bf3e6f","observation_id":"c9f95dd8-5043-4059-9bd0-b979baf7149a","resolution":{"observed_at":"2026-08-11T13:06:17.568273Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.552427Z","title":"For clarity and ease of understanding, we first pro- vide a detailed explanation of the relevant notations and concepts that will be used throughout the analysis","venue":null,"work_id":"78a42312-1a0c-4a4a-ab08-05f02120e19a","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.000468Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:ca702e8ff506ff75a82930a3250c0081d7dd891e41512e44a114c816d22a3179","observation_id":"3dcb2cc8-69fb-4069-8037-9992b8bb4083","resolution":{"observed_at":"2026-08-11T13:06:17.556870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.540645Z","title":"An efficient algorithm (Alogrithm 2) has been presented to address the associated KL divergence minimization problem there","venue":null,"work_id":"a0ec6a14-d44f-460b-a6df-0be88188be39","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.004876Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:3618a4705d31690cc8535bf18fdd0455d680f72ec97eab069296708552c69913","observation_id":"73a0f792-b594-4034-940e-b35eafccbad6","resolution":{"observed_at":"2026-08-11T13:06:17.544704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.529068Z","title":"The stationarity conditions require that the partial derivatives of the Lagrangian with respect to each of the variables be zero, which corresponds to the opti- mality condition","venue":null,"work_id":"473e0cb6-fb0a-4504-a41a-4cd69ca3fb7d","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.009024Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:3efc4a0dc1bb076fd73ae7c41b20715465a7dbbe0a9e08a3d344a0093de4c069","observation_id":"9ad8dfc4-3ae6-4788-b11d-7240295a2975","resolution":{"observed_at":"2026-08-11T13:06:17.533077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.517210Z","title":"The primal feasibility condition en- sures that the original constraints are satisfied","venue":null,"work_id":"c0d9f395-9970-4fc1-a12a-e0398cfed7f0","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.012975Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:a41a80f0c2a5fcddf231677b505e454d989cbf4ea24facff99be7d5ea0d7ef6b","observation_id":"4db4d20c-aaa0-4b75-96a4-54a8832b5d18","resolution":{"observed_at":"2026-08-11T13:06:17.521382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.503521Z","title":"The dual feasibility condition imposes non-negativity on the Lagrange multipliers associated with the inequality constraints: µj ≥ 0","venue":null,"work_id":"19900bc0-e58e-48e0-a5cb-0c19740362c2","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.016931Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:51ea4db4522296705b48be10d6292af288341a44ad0c73da2e995ece9665d0f5","observation_id":"b20bd0fe-2eaf-4959-8139-3fb5ae85ece3","resolution":{"observed_at":"2026-08-11T13:06:17.508708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.491706Z","title":"Finally, the complementary slackness condition relates the primal and dual variables","venue":null,"work_id":"0792690d-21d6-46d8-96bd-57350ed6ee31","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.021203Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:9d5a445adb4bad030dc09f8c0ffe83841f45427dd7153a4ee947a0d5f3cdeb43","observation_id":"b428cc3f-37e5-4a31-adf5-72b29812e257","resolution":{"observed_at":"2026-08-11T13:06:17.495610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.480062Z","title":null,"venue":null,"work_id":"990761bb-14fe-48cb-967d-120afc8000a2","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.025324Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:bde1e5e62343f29ad839766f0070023ba973677ac8eb83f42ccb0a080f7f0aad","observation_id":"8e65af09-fca0-4d6e-b237-c9d30c54f900","resolution":{"observed_at":"2026-08-11T13:06:17.483951Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.468059Z","title":", jt−1} ⊆A, if the inequality (pα 1 ( Y j∈C αpj)) 1 |C|+α < αpjt (44) holds, then jt ∈ A","venue":null,"work_id":"6847c07f-fa15-44b2-abc2-fd1975eec9dc","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.029907Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0f376a9dbd152ff2e43b640fb66636243e6d4062c6969a6e07cf84d359ad87f6","observation_id":"327a1e89-5464-4bfb-bdbd-bdffd9ad4e5b","resolution":{"observed_at":"2026-08-11T13:06:17.472249Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.455969Z","title":"These experiments were conducted using ResNet-50, which was pre-trained on ImageNet","venue":null,"work_id":"67bf28eb-1ec4-4100-848f-c1aa34b2bbeb","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.034278Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:56054164638ff2fa598d80515fe47ba52aeb5ae9895c11bb388fa2d276744402","observation_id":"bd6d9af9-8539-40da-b3e8-006e8f8bb310","resolution":{"observed_at":"2026-08-11T13:06:17.460287Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.443897Z","title":null,"venue":null,"work_id":"08da3637-8e0e-4520-9e07-7ece681d98a1","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.038837Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:b0d54d67222548ad6647f43ed810b5338a9dec932d8dfdaba5bb5acb9ec988bb","observation_id":"fd299bbf-d0cb-467d-832f-46d7ac53cfd7","resolution":{"observed_at":"2026-08-11T13:06:17.447966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.431478Z","title":null,"venue":null,"work_id":"971139fa-35da-4e1f-a211-528e9a6db808","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.042897Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:98a11011436b3d7015b62429a69e5d3996235dcbe3ed1de03428cd01661c5bb6","observation_id":"612f9224-7eca-4954-b3e0-fd27570269da","resolution":{"observed_at":"2026-08-11T13:06:17.435405Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T13:06:17.419099Z","title":null,"venue":null,"work_id":"f30de0d1-2de8-4859-94d1-b36caed6adb8","year":null},"citing_paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-11T13:06:17.047011Z"},"links":{"citing_paper":"/paper/2412.13573"},"observation_digest":"sha256:0b76214a3d2ff7bfea1893f5fda05aaf225be3ad6791c1e4010cf71d32180403","observation_id":"a4c3377c-6f70-49fa-9204-7ca29f907b49","resolution":{"observed_at":"2026-08-11T13:06:17.423245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.13573","last_updated":"2025-04-14T04:22:48Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T18:28:15.316115Z","submitted_at":"2024-12-18T07:45:30Z","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes"},"reference_resolution":{"displayed":86,"state_counts":{"malformed_identifier":4,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":3,"verified_fuzzy":41},"total_outbound_references":86},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 3 inbound Pith citation observations for arXiv:2412.13573."}