{"as_of":"2026-08-23T14:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b42dae262781e5824d61c9804f07ecfbb3345e29cb68ccf1fb9a27b4dcd83e1","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:35:24.414805Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.14077/citation-record","integrity":"/paper/2508.14077/integrity","json":"/paper/2508.14077/citation-record.json","paper":"/paper/2508.14077"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:35:25.904424Z","title":"Emergence of invariance and disentanglement in deep representations","venue":null,"work_id":"904447e8-697b-4294-b8a9-994c73e6d497","year":2017},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:23.998839Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:b0671bc54fbf6c998e022791a936991c86c19ea2bf8778233742419faf68d1f6","observation_id":"eb2143af-7bde-4b3f-912e-d4079d7d27b8","resolution":{"observed_at":"2026-08-15T17:35:25.910446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.884990Z","title":"Information dropout: Learning optimal representations through noisy computation","venue":null,"work_id":"ed8022af-4a2f-4b91-8c42-80ad3ff24b4a","year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.007930Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:c2b1e0a8f4fceb3a190b342b3318aa33d20189fff656e25e09082993a0b4fc16","observation_id":"d8d93e63-1d02-47f5-ba6b-62203237f776","resolution":{"observed_at":"2026-08-15T17:35:25.891129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.858664Z","title":"Invariance principle meets information bottleneck for out-of-distribution generalization","venue":null,"work_id":"1395b224-e1dd-48a6-b387-eee3e484d639","year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.018967Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:c1258bb4ce760fe034dcce6fa457f3260450a758efca1b233bb59ebcd6022f51","observation_id":"f28b1ee6-c78b-49da-8a2b-84ae7a30f6a3","resolution":{"observed_at":"2026-08-15T17:35:25.864984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.839172Z","title":"Deep variational information bottleneck","venue":null,"work_id":"b587e2d4-e98a-467f-ba1e-7768051b427f","year":2016},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.027665Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:b2976101bc1d630d958147152f886509000e6e976679750e57225ad082d0cb12","observation_id":"2d68418f-43a6-4c48-b18e-16876cd3d06c","resolution":{"observed_at":"2026-08-15T17:35:25.844144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.820114Z","title":"Uncertainty in the variational information bottleneck","venue":null,"work_id":"e6cd7f58-f9a7-4449-89be-81538d879d2c","year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.035867Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:edefea4200a8ce5634875b171c916dcc9e2243109440e4de83277503e5679b06","observation_id":"7f843e5a-3d0e-420d-ae10-85511e1d8561","resolution":{"observed_at":"2026-08-15T17:35:25.826554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.04975","last_updated":"2018-07-25T01:59:00Z","snapshot_observed_at":"2026-08-14T18:52:24.445401Z","submitted_at":"2018-07-13T08:47:59Z","title":"Recognition in Terra Incognita","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.04975","snapshot_observed_at":"2026-08-15T17:35:24.041883Z","title":"Recognition in terra incognita","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.041883Z"},"links":{"cited_paper":"/paper/1807.04975","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:342190b095c96ad29f38fe727fbc8d603ac1153ff56c317c654c23a16a38c66d","observation_id":"acf14b50-b58f-4bb5-b228-69c8e1baa941","resolution":{"observed_at":"2026-08-15T17:35:24.041883Z","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":"2026-08-15T17:35:25.802143Z","title":"An investigation of how label smoothing affects generalization","venue":null,"work_id":"efdf600b-51c9-43c5-bcd6-e6b96887f92f","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.050657Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:6add4326d53775e72249fa7750f6bf441e2f0f93417331c4ed6db8b19123d32b","observation_id":"787d9455-c877-4e25-af9c-532c16b1a08e","resolution":{"observed_at":"2026-08-15T17:35:25.808598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.784621Z","title":"For better or for worse? learning minimum variance features with label augmentation","venue":null,"work_id":"5d7ffe93-e36e-4f29-a690-740bf0724ac8","year":2024},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.057073Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:1ccf13074f8df0b047c4e0ed959f9c6820a5741ee0d9f05714757efa05ab4023","observation_id":"976c41bb-a8d5-4a8a-9b08-af8312970452","resolution":{"observed_at":"2026-08-15T17:35:25.790224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.766882Z","title":"Towards better decoding and language model integration in sequence to sequence models","venue":null,"work_id":"93bfa7cd-6e87-4652-b0cc-d5b9130cd6d5","year":2016},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.062553Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:cda032c374ca221ca2b8c1ae3550a5a733cd5bfcbe055712a172bcb31a92989a","observation_id":"73bf8c0b-9059-485d-ac12-4d2dea7bf789","resolution":{"observed_at":"2026-08-15T17:35:25.772113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.749896Z","title":"ImageNet : A large-scale hierarchical image database","venue":null,"work_id":"de012c7b-457d-43d2-84c0-f917a3f3c739","year":2009},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.068746Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:5a57f312b1f794e3a70ba19cfb13db9f35d72f29942a86917549ae1a9e0fd096","observation_id":"b27723c6-0534-40f2-b972-7cfa89928818","resolution":{"observed_at":"2026-08-15T17:35:25.755005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.729753Z","title":"The conditional entropy bottleneck","venue":null,"work_id":"6397246e-8288-448f-b3d6-ef6f90209386","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.073963Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:a87dd816dea118d0c8741097c5bf184378b15f608f47391d845a3523f7f9b8e3","observation_id":"767c0c75-c03a-4544-9696-bd43bfce3858","resolution":{"observed_at":"2026-08-15T17:35:25.735837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.707133Z","title":"Learning better structured representations using low-rank adaptive label smoothing","venue":null,"work_id":"33a05a4a-2be8-4463-ab24-8c615526e386","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.081422Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:7224eb9335b60f535dad8353e45d8833aca02fb91f990b367f179d65eb099cb4","observation_id":"9fc56c9d-3a77-47dc-b99f-165adacfe28c","resolution":{"observed_at":"2026-08-15T17:35:25.713803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.05704","last_updated":"2022-06-07T19:25:30Z","snapshot_observed_at":"2026-08-18T19:47:27.998235Z","submitted_at":"2021-04-12T17:58:56Z","title":"Escaping the Big Data Paradigm with Compact Transformers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.05704","snapshot_observed_at":"2026-08-15T17:35:24.087464Z","title":"Escaping the big data paradigm with compact transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.087464Z"},"links":{"cited_paper":"/paper/2104.05704","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:6cfa83122c079cde371cc69481ae32d3739a059d8b2642b818a7a876d75ae86d","observation_id":"626c54ba-4085-4a84-a413-1b166122ed35","resolution":{"observed_at":"2026-08-15T17:35:24.087464Z","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":"2026-08-15T17:35:25.687147Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"6bf7e70c-67ec-4633-941f-d5bada5abc49","year":2015},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.094379Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:318226d4b2c40dd88214bc0e8233708f8120e197a6f0644ddab8c996f5bd178d","observation_id":"6f4b6288-dab6-4a4f-8b31-eca305d19075","resolution":{"observed_at":"2026-08-15T17:35:25.693528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.665815Z","title":"Distilling the knowledge in a neural network","venue":null,"work_id":"d01eaec5-e805-43e0-89bf-e3e4880ad1bc","year":2015},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.099636Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:3fefb9b42c9e5f4879c6415fd42ef971e2b1e3b55b1cc361ccbced8f30f75b17","observation_id":"64576f47-047e-4770-be80-0aa0165aaa34","resolution":{"observed_at":"2026-08-15T17:35:25.672719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.642008Z","title":"Multilayer feedforward networks are universal approximators","venue":null,"work_id":"1acb5c5e-0638-4d44-b06e-a5cf758c1237","year":1989},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.104986Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:a84fb4aeb3ffce4f7276928a7505bd2b11bbade6fe234c5de0f18d9001e5f768","observation_id":"43dbf8a5-ed9b-461f-b938-dbca945dbf56","resolution":{"observed_at":"2026-08-15T17:35:25.647577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.624347Z","title":"GPipe : Efficient training of giant neural networks using pipeline parallelism","venue":null,"work_id":"d719bd7a-beac-4941-b924-036f6b707cbf","year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.110752Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:b7d8e8e04c4a43e9d5472678b2baa78d6c3144d0dc5632af6a4ca2f458d97b05","observation_id":"bb4eb428-d17f-475f-a1fc-ad5a2f554030","resolution":{"observed_at":"2026-08-15T17:35:25.630035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.604126Z","title":"How does information bottleneck help deep learning? arXiv [cs.LG], pp.\\ 16049--16096, May 2023","venue":null,"work_id":"415be039-c391-4bb9-a892-7558441c9be8","year":2023},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.115857Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:7e8cbd5cbb4a21005d9f89cc51585b9c5a4c7d0cb40e5dfb06a0f6e3224c0f18","observation_id":"8340f0c7-e9a8-446c-a714-c4d8eb84f872","resolution":{"observed_at":"2026-08-15T17:35:25.610192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.583085Z","title":"Auto-encoding variational bayes","venue":null,"work_id":"32a91cf6-55b3-419b-9a9d-5ca2f0fcb358","year":2013},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.120671Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:e0e93f48d917bb83176c95a9d03c556a2c28a940b8bd7373c7376756d2a947c4","observation_id":"8d3ea4ff-6aa8-4ad2-9b2f-6821dadc3e3a","resolution":{"observed_at":"2026-08-15T17:35:25.588490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.556872Z","title":"Caveats for information bottleneck in deterministic scenarios","venue":null,"work_id":"88763dc5-17e3-4797-8cc9-e3ebaa187b65","year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.127414Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:897a59d772e607125336ae4852a94193a84e677f34694925a8e3b442dc09fd7b","observation_id":"584d7997-3b96-4a1a-b854-5ecfb9dd958b","resolution":{"observed_at":"2026-08-15T17:35:25.562801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.536576Z","title":"Nonlinear information bottleneck","venue":null,"work_id":"3c1aed2e-8726-43cc-bc40-893e85cade34","year":2019},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.135214Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:d4f6110940f432674ad73bb7b109f5bd70e795f4ca1b9bf58ca41648d551f969","observation_id":"a21e9d5f-25fe-425a-9a76-854eef18a6f0","resolution":{"observed_at":"2026-08-15T17:35:25.543094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.505482Z","title":"Why do better loss functions lead to less transferable features? arXiv [cs.CV], October 2020","venue":null,"work_id":"efb2d1a2-3463-4b7f-a604-fbe8d429c1aa","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.142795Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:e9e6715fe9a6ae750550ebb785920004d69ebc87d68be2be4f337036ce4e9cbd","observation_id":"05c7fbab-d8b7-4803-aebd-b727af80e669","resolution":{"observed_at":"2026-08-15T17:35:25.515287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.484018Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":"bd18a9b9-619d-4054-886f-08d74fe7d60f","year":2009},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.148384Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:4d15b3f28934e5b31166b245e9f4cfd8d219a19ee51b6d5fa326eefbd24c13a3","observation_id":"da96ba2d-d786-4493-9851-ad411b2ce776","resolution":{"observed_at":"2026-08-15T17:35:25.490346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01238","last_updated":"2024-02-02T09:03:38Z","snapshot_observed_at":"2026-08-16T14:22:13.249799Z","submitted_at":"2024-02-02T09:03:38Z","title":"Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training","version":1},"cited_work":{"arxiv_id":"2402.01238","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.01238","snapshot_observed_at":"2026-08-15T17:35:24.594113Z","title":"Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training","venue":"cs.LG","work_id":"a4161090-2590-48c2-a7eb-993b7890aca9","year":2024},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.155767Z"},"links":{"cited_paper":"/paper/2402.01238","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:61c63197a35995930131d45261f4f6e225525d453e108793e9ee1dcbe745fe4a","observation_id":"a88195d9-30ce-4a5b-a78a-c0b5bd7f0d13","resolution":{"observed_at":"2026-08-15T17:35:24.603742Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.453446Z","title":"Exploring the trade-off in the variational information bottleneck for regression with a single training run","venue":null,"work_id":"d6db10f8-e304-4286-94a8-c922ec910ed7","year":2024},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.160740Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:d6438c65735b6aa24bd534c6bfabd622bce8d8212f3841060802f479be57d5f8","observation_id":"8eb2fc81-54e1-4de2-9bf0-cd617ffef08c","resolution":{"observed_at":"2026-08-15T17:35:25.460458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.432397Z","title":"Lagrangian relaxation","venue":null,"work_id":"c8687f3e-8d3f-4f5c-96cc-fdb4ae18c253","year":2001},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.166264Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:8b2a3b80fe892b40e2b930d048edf7b50ac0c349333feeae590215c24e5b9064","observation_id":"f50a6069-487b-4104-bedb-3841a98bb022","resolution":{"observed_at":"2026-08-15T17:35:25.440078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.407080Z","title":"Invariant information bottleneck for domain generalization","venue":null,"work_id":"370cf198-c1ce-420c-8017-ff84e6540e6b","year":2022},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.172372Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:84a4b2bd5bffe982c3d815423ccc81f5082f4598383b601e9bfae2d375560cf8","observation_id":"50ef083d-792b-469e-9b5a-b4d9a6f8d113","resolution":{"observed_at":"2026-08-15T17:35:25.415123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.384292Z","title":"Regularization via structural label smoothing","venue":null,"work_id":"14837660-ddac-411f-a4da-f687b3737240","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.186985Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:64b80373c03306fe872774d1d38717a4b14509904bce92566667eecdb436b80f","observation_id":"09c87dc6-1f98-493b-ae50-ae9c1dceff70","resolution":{"observed_at":"2026-08-15T17:35:25.392678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.362946Z","title":"Understanding instance-level label noise: Disparate impacts and treatments","venue":null,"work_id":"17c050b8-b40f-4d23-9a12-39e00bb40e40","year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.193577Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:594b91d3e9efb3745744ccd82625a33a17f30450c9de08a2b5889da91f352edc","observation_id":"a1a46ee7-3bdf-4507-83e0-4ca149c429b9","resolution":{"observed_at":"2026-08-15T17:35:25.369648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.344555Z","title":"A ConvNet for the 2020s","venue":null,"work_id":"10f097c0-0555-4f03-a28b-401cab352c1d","year":2022},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.198414Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:0c7d2480911b1981cfde9836ffeb247d03b2e301cc50449e6b0aaabb05d7fd4d","observation_id":"4628a9dd-c7d6-4c4b-9063-ccf6e5b0125a","resolution":{"observed_at":"2026-08-15T17:35:25.350276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.02819","last_updated":"2020-03-05T18:43:17Z","snapshot_observed_at":"2026-07-06T09:02:35.462638Z","submitted_at":"2020-03-05T18:43:17Z","title":"Does label smoothing mitigate label noise?","version":1},"cited_work":{"arxiv_id":"2003.02819","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.02819","snapshot_observed_at":"2026-08-15T17:35:24.557365Z","title":"Does label smoothing mitigate label noise?","venue":"cs.LG","work_id":"d404e711-ea9d-4fb1-b301-3eb487248037","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.203928Z"},"links":{"cited_paper":"/paper/2003.02819","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:7efb6eabf577abde77c9c725e206f92d4775fe8d35d9f7b42f858e26b9b915c3","observation_id":"81675000-fd5b-4c21-9976-6cd4dd47f499","resolution":{"observed_at":"2026-08-15T17:35:24.567469Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.326098Z","title":"Generalized entropy regularization or: There's nothing special about label smoothing","venue":null,"work_id":"c02a02a4-fa7d-4b35-b09f-2ed7e3d668dd","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.209880Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:a7986a857a164ddd7dc3c82ba6027323f2024f613bcf276488d2d4512f1c2390","observation_id":"5fce11a4-73c1-4fd3-b990-143acbbfb3e2","resolution":{"observed_at":"2026-08-15T17:35:25.332250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.298945Z","title":"Recurrent models of visual attention","venue":null,"work_id":"9582a98d-7cc4-458a-aedb-8f4f0c1da091","year":2014},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.215602Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:a63cc254265f45785a976bec463297a13b9eeaf39e5a8a0e61b82e8e518ccdaf","observation_id":"9e70343b-a418-40ee-bea1-882c1b4e5e03","resolution":{"observed_at":"2026-08-15T17:35:25.310414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02629","last_updated":"2020-06-10T18:18:17Z","snapshot_observed_at":"2026-08-19T19:53:22.493532Z","submitted_at":"2019-06-06T15:03:11Z","title":"When Does Label Smoothing Help?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02629","snapshot_observed_at":"2026-08-15T17:35:24.222250Z","title":"When does label smoothing help? Neural Inf Process Syst, abs/1906.02629, June 2019","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.222250Z"},"links":{"cited_paper":"/paper/1906.02629","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:7eed938aa319ad7e5d5c9f5fb21f53cf7e9573b7778c6cc020a3adb0673c40ab","observation_id":"baf861be-c7fb-4025-99d2-b1612f040424","resolution":{"observed_at":"2026-08-15T17:35:24.222250Z","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":"2026-08-15T17:35:25.274369Z","title":"Automated flower classification over a large number of classes","venue":null,"work_id":"3a88c0b2-be69-479e-9ce5-bc9e12782b3d","year":2008},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.233676Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:0f4703de519531db8cd4876c723ea68f7190e2c97fa8abd22dc69fbe12a8cf34","observation_id":"b1bb79a1-4322-42d3-9dff-eced6d84bf9a","resolution":{"observed_at":"2026-08-15T17:35:25.284602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.251456Z","title":"No language left behind: Scaling human-centered machine translation","venue":null,"work_id":"0e37505e-9995-4880-902e-e8752c24ae18","year":2022},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.239862Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:ecca01a3012dafbec8eb02c8b53fbe9c653b28e68a063fdbc0b597a4ba36f589","observation_id":"47170cc3-bb17-4ba9-8a22-4b6820c2a5a0","resolution":{"observed_at":"2026-08-15T17:35:25.258369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.223008Z","title":"Disentangled information bottleneck","venue":null,"work_id":"a69debac-24d2-4265-be7c-88336536e523","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.245322Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:af35bd394fdd82ddfaace7722dbdd995249eb9a56d1e63f47750b7f0e53efd96","observation_id":"b0c978e3-7407-4887-aa78-766938521c15","resolution":{"observed_at":"2026-08-15T17:35:25.229257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.195273Z","title":"Regularizing neural networks by penalizing confident output distributions","venue":null,"work_id":"b00f83d8-680a-4128-9ea5-f07a70ac02ca","year":2017},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.250582Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:bb0de592a101f5979855f177aa5fb8c198422813f5b8373f3883ff500f8df8f5","observation_id":"5e78ba0c-3047-4d80-a5b6-2b1b8b138091","resolution":{"observed_at":"2026-08-15T17:35:25.205674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.170079Z","title":"Human uncertainty makes classification more robust","venue":null,"work_id":"dffdc2f1-dcae-4eab-a12c-43ba3f2f59e4","year":2019},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.255718Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:cda2cead46d6b07719ea30021a98c42a856339042309f5cbe5fd5674815d6f26","observation_id":"fa0041ac-1cbf-4f06-b2e3-f9575da38efb","resolution":{"observed_at":"2026-08-15T17:35:25.180536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.145787Z","title":"The dual information bottleneck","venue":null,"work_id":"620ef507-612b-4ebf-8452-82a0fee53fb9","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.260514Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:f6d4777cb6d2433abb3c6ac72032d15d6408715ff60a9a6843a2cf8e6e81f472","observation_id":"7d977c38-5aa4-4a25-9af3-3a7082f02b16","resolution":{"observed_at":"2026-08-15T17:35:25.154022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06922","last_updated":"2019-05-16T17:31:53Z","snapshot_observed_at":"2026-08-14T16:31:04.115696Z","submitted_at":"2019-05-16T17:31:53Z","title":"On Variational Bounds of Mutual Information","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.06922","snapshot_observed_at":"2026-08-15T17:35:24.265575Z","title":"On variational bounds of mutual information","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.265575Z"},"links":{"cited_paper":"/paper/1905.06922","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:48428992ebbb85824b56c2ad4387dc9893d8c320c9848fef0fbb2ed8931944a4","observation_id":"051813e5-a19e-49fa-b07f-b8c26e6b0f61","resolution":{"observed_at":"2026-08-15T17:35:24.265575Z","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":"2026-08-15T17:35:25.107696Z","title":"Regularized evolution for image classifier architecture search","venue":null,"work_id":"6f80ad41-23fe-400e-98c8-50cd6b472209","year":2019},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.272199Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:2cf321e47cd21491e4dfdce8150e8f86c82bcc7ab77599b01ba1414fa31df6de","observation_id":"3c8685e6-2013-4159-8bba-e973fbc93d9b","resolution":{"observed_at":"2026-08-15T17:35:25.115992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.279195Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.279195Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:92987bddddcf411191a39758ae84e56bc721230ea05a4fe1daecde155441b1b4","observation_id":"6303f298-bd78-47b2-8978-e6ea9cd4b345","resolution":{"observed_at":"2026-08-15T17:35:24.279195Z","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":"2026-08-15T17:35:25.062026Z","title":"Learning and generalization with the information bottleneck","venue":null,"work_id":"c84541c4-a2d2-4c3b-a123-cac89e8bc6ff","year":2010},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.286502Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:dfb401189fe7fcce97a62b6783fdb2670b78e8d166fb55000099643feb327ae2","observation_id":"3bc04a59-4829-439a-a569-333fd26733ae","resolution":{"observed_at":"2026-08-15T17:35:25.069728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.041728Z","title":"The deterministic information bottleneck","venue":null,"work_id":"a6d4444b-bd9f-47ab-a2d4-ddf911195f1c","year":2016},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.292678Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:b2dc81214be2d72af7c7a9aca781a0d4a9df012de214fdf19e74990ee7895d05","observation_id":"040ca908-3d6e-4f91-a962-4a04c3bdbc5e","resolution":{"observed_at":"2026-08-15T17:35:25.047476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:25.018584Z","title":"Rethinking the inception architecture for computer vision","venue":null,"work_id":"f8d4ba7c-6bf9-4830-9fe6-96930a6f543b","year":2015},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.298555Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:85c12b9814ce031527972fea76677d76b9582b44ced5e490545900ce25c1cc3c","observation_id":"6f5802df-d131-4783-bacb-399c376471f7","resolution":{"observed_at":"2026-08-15T17:35:25.029557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.996488Z","title":"Cover and Joy A Thomas","venue":null,"work_id":"b8c1ec0e-aea2-4f64-8882-210229d1963b","year":2006},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.304229Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:d1fe27ea129226ab729a554eaca6955ce8f284a961a2262dbefc6bb306a3225a","observation_id":"9976fda7-b61b-4559-8684-1c9708ca4a4a","resolution":{"observed_at":"2026-08-15T17:35:25.003802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.978515Z","title":"The information bottleneck method","venue":null,"work_id":"234c8109-4bf1-4ff2-ab0d-f99a9ea499c6","year":2000},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.314604Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:b0f1dd97409d72d7ffe106cb4ead8bfb01829bbaf596b8de2d877ddf5f34f6a2","observation_id":"999e34a3-d01e-444c-8094-e44ac0703a1d","resolution":{"observed_at":"2026-08-15T17:35:24.984481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.955480Z","title":"Attention is all you need","venue":null,"work_id":"a3d758c7-ddde-4ce4-9d88-46c551a00e8f","year":2017},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.321505Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:9129f2fcf632f1ef193040736ad17ce8d01687ecd9d4964ab2e4956b49255def","observation_id":"27274296-954c-40d1-afc4-6ad5804e44a8","resolution":{"observed_at":"2026-08-15T17:35:24.963617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.936564Z","title":"The role of the information bottleneck in representation learning","venue":null,"work_id":"95092e8c-1137-4357-9c7e-d9f24d26797a","year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.327416Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:9edd5d25d4991416290be4babc8de2c0380bbe40ea22b9b5c381e4d4505ee530","observation_id":"d11424f8-fd7d-4eea-966f-fac8f212e8a0","resolution":{"observed_at":"2026-08-15T17:35:24.942928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.913426Z","title":"The role of mutual information in variational classifiers","venue":null,"work_id":"9810b1ec-3a23-4792-993b-e726103dd2b2","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.333008Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:8607aeee11937ff073652d758832b136e68b664f7b2e1dc597b5a79ae5b5c90b","observation_id":"ee9f7b4b-204c-4366-922f-15d98d413d0b","resolution":{"observed_at":"2026-08-15T17:35:24.919682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.896225Z","title":"Diversifying dialog generation via adaptive label smoothing","venue":null,"work_id":"a0c79be8-3b17-49b9-b538-566056e29db6","year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.341044Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:b9764eaf6c11957a2ada5b1ca038f4f26ad6c84bf9af8c2052bfa4328d159946","observation_id":"67d9fb8b-4a0f-4d23-8670-a0a013416044","resolution":{"observed_at":"2026-08-15T17:35:24.901925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.877850Z","title":"PAC -bayes information bottleneck","venue":null,"work_id":"1ff9a4e6-a51e-4ec4-9b9c-9d584ff860a9","year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.352049Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:2735b857d3962d3017b436d61ccd661f234584e622e3f0482af22a679933bf7e","observation_id":"9703f343-68c6-48ef-b3ad-d0f4eb2f37cf","resolution":{"observed_at":"2026-08-15T17:35:24.883341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05482","last_updated":"2022-07-01T23:48:19Z","snapshot_observed_at":"2026-08-18T15:15:29.657544Z","submitted_at":"2022-03-10T17:03:49Z","title":"Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05482","snapshot_observed_at":"2026-08-15T17:35:24.361685Z","title":"Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.361685Z"},"links":{"cited_paper":"/paper/2203.05482","citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:bbb4eb2b8ae9c6ad539a7616ed6b4850c9e83d4fe72d698bd53b571e0d843efd","observation_id":"c31ec419-31e9-4bfa-99c8-8a42918a9d11","resolution":{"observed_at":"2026-08-15T17:35:24.361685Z","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":"2026-08-15T17:35:24.860233Z","title":"Towards understanding why label smoothing degrades selective classification and how to fix it","venue":null,"work_id":"b0d51206-1c61-413e-bcde-cb764b0e3f12","year":2024},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.369711Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:6d65f4fe4205e8e411d3ac9c55d65064d7398cebd7ba10e3660e91f10e017c6d","observation_id":"adee8114-c4f4-4a42-b708-5f869a229424","resolution":{"observed_at":"2026-08-15T17:35:24.865961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.841139Z","title":"Towards understanding label smoothing","venue":null,"work_id":"4807c361-106e-4f0a-a554-3f3a1b566433","year":2020},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.374232Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:1e298a7e7dbd7d79b759dc0bbbff08b5b3ea80a32dd2e245d51ec6d76d307861","observation_id":"a1ba8846-5462-4e3e-acaf-3755acf00bc8","resolution":{"observed_at":"2026-08-15T17:35:24.846353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.808214Z","title":"CoCa : Contrastive captioners are image-text foundation models","venue":null,"work_id":"5fc8e051-5174-4796-8820-81e31748a181","year":2022},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.380975Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:56df3d51bd31a637612709948c9f62ea0c72d160118696397093f43279ec07e8","observation_id":"b283f752-03e4-4613-9e31-5d86234e332f","resolution":{"observed_at":"2026-08-15T17:35:24.814409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.783994Z","title":"Deep deterministic information bottleneck with matrix-based entropy functional","venue":null,"work_id":"09b77f27-7c17-4640-af04-f86c78ab26db","year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.386005Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:9fb98b53a49091a0d108cb95c4dcc1bf45bdefc3066705cc5f7f5d35503a2fd6","observation_id":"a6bb95bb-f33e-4096-bf1c-7cc69661c3af","resolution":{"observed_at":"2026-08-15T17:35:24.792488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.762548Z","title":"Revisiting knowledge distillation via label smoothing regularization","venue":null,"work_id":"71a81f37-8e50-497c-9ddb-7204f040643b","year":2019},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.390787Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:550f66db673567d87eed552698718e62de9fd984766f0f78fa7e646299c38d0b","observation_id":"272ab95e-2a1d-4796-8fb3-1681e716f5fb","resolution":{"observed_at":"2026-08-15T17:35:24.771664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.737349Z","title":"Efficient defenses against adversarial attacks","venue":null,"work_id":"decb57aa-3b4a-4428-ae92-330b33e6c0e4","year":2017},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.396051Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:a56668933b50c278d90fb688954f8332adf15664887249d094a374ea9c8b0bca","observation_id":"39e10cfa-cde0-4f6f-807b-5cacb4c64599","resolution":{"observed_at":"2026-08-15T17:35:24.745687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.712885Z","title":"Delving deep into label smoothing","venue":null,"work_id":"49d68c43-22a1-4cac-a4de-e49683ae6a6a","year":2021},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.403171Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:ca6a3e43c05f36406bf07993dc36f87e01e99377e77468f74fc2637e47c226a3","observation_id":"50aa38d4-21ad-40c5-a1e7-4c2beb04adfa","resolution":{"observed_at":"2026-08-15T17:35:24.719304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.690275Z","title":"Learning transferable architectures for scalable image recognition","venue":null,"work_id":"e91964cd-2a1e-4144-87a0-82c12d0b554b","year":2018},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.409160Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:12ae9d279544d6e7f8465124516c1ac2e738cb1e49ac48ca66bbe6f038460103","observation_id":"83070181-5f81-4fc3-91f1-e937b196c01f","resolution":{"observed_at":"2026-08-15T17:35:24.698275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-15T17:35:24.414805Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-15T17:35:24.414805Z"},"links":{"citing_paper":"/paper/2508.14077"},"observation_digest":"sha256:a582db1d092963fb3fd7d8347e33dbc3d33b8fd6f89d524dfc16f4390f340343","observation_id":"52f1ef79-5643-4027-9b99-2ed9e5850cef","resolution":{"observed_at":"2026-08-15T17:35:24.414805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.14077","last_updated":"2025-08-12T14:50:23Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T15:16:05.466595Z","submitted_at":"2025-08-12T14:50:23Z","title":"Label Smoothing is a Pragmatic Information Bottleneck"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":2,"verified_fuzzy":54},"total_outbound_references":63},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2508.14077."}