{"as_of":"2026-08-11T19:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59dc16c93212b604975014219220229028269daa0dea792fe39efed06c94022c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:58:02.243870Z","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":"2026-07-01T14:55:48.645423Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-08-10T21:58:02.243870Z","title":"94% on cifar-10 in 3.29 seconds on a single gpu","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.06220","last_updated":"2025-01-07T00:41:34Z","snapshot_observed_at":"2026-08-10T21:50:21.743686Z","submitted_at":"2025-01-07T00:41:34Z","title":"Powerful Design of Small Vision Transformer on CIFAR10","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:58:02.243870Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2501.06220"},"observation_digest":"sha256:a9df52eba0e97dd22fca2c72a7686d403449e98dd25f87a99d85d9efab422fd9","observation_id":"2382fa95-1b18-4f66-810d-81f8640c0665","resolution":{"observed_at":"2026-08-10T21:58:02.243870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-08-02T23:14:14.235337Z","title":"94\\ ArXiv preprint, abs/2404.00498, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.14656","last_updated":"2026-07-17T13:44:47Z","snapshot_observed_at":"2026-08-08T11:09:59.580980Z","submitted_at":"2026-02-16T11:27:04Z","title":"An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-02T23:14:14.235337Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2602.14656"},"observation_digest":"sha256:70d0c3aa5e5848d1b60635abf9f0fec40fb6d71721d137e4b3b53d13780fcfc4","observation_id":"a174abaf-4661-4db5-8bdd-63d03a40ea14","resolution":{"observed_at":"2026-08-02T23:14:14.235337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":"2404.00498","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-07-01T14:55:48.645423Z","title":"ArXiv Preprint: 2404.00498 , Year =","venue":null,"work_id":"90b09ba6-82c9-45e8-8eff-885bfe7cf39a","year":2024},"citing_paper":{"arxiv_id":"2605.06884","last_updated":"2026-05-07T19:32:39Z","snapshot_observed_at":"2026-07-06T23:19:20.674889Z","submitted_at":"2026-05-07T19:32:39Z","title":"Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-11T00:54:23.683013Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2605.06884"},"observation_digest":"sha256:67157f3b11e7ef99cd1d43530b9676828a1ed03494a3ec93c413dc9fb21c8c6e","observation_id":"e5338cbd-0f0d-4d19-b014-0fb261c4a963","resolution":{"observed_at":"2026-05-11T05:00:56.675159Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":"2404.00498","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-07-01T14:55:48.645423Z","title":"ArXiv Preprint: 2404.00498 , Year =","venue":null,"work_id":"90b09ba6-82c9-45e8-8eff-885bfe7cf39a","year":2024},"citing_paper":{"arxiv_id":"2605.11838","last_updated":"2026-05-12T09:24:59Z","snapshot_observed_at":"2026-07-06T23:23:34.924221Z","submitted_at":"2026-05-12T09:24:59Z","title":"Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-13T07:01:37.086159Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2605.11838"},"observation_digest":"sha256:1b97b0c077bdb5cd24189af9dce3d84c26c8aaeb15e7c656c43955f2367f719b","observation_id":"0d215d74-99ca-47e4-ad0f-9cc9b9eb63ca","resolution":{"observed_at":"2026-05-13T07:02:27.331512Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":"2404.00498","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-07-01T14:55:48.645423Z","title":"ArXiv Preprint: 2404.00498 , Year =","venue":null,"work_id":"90b09ba6-82c9-45e8-8eff-885bfe7cf39a","year":2024},"citing_paper":{"arxiv_id":"2605.18528","last_updated":"2026-05-31T14:16:59Z","snapshot_observed_at":"2026-07-06T23:29:24.494326Z","submitted_at":"2026-05-18T15:13:18Z","title":"Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-05-20T08:48:42.019359Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2605.18528"},"observation_digest":"sha256:42ecd49462f8e85f91f3ae37d048bae5e7606e68c225ae66538fbb3d81bf4d2b","observation_id":"83f63447-34dc-4721-9571-a8b92ac10152","resolution":{"observed_at":"2026-05-20T08:53:24.530279Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":"2404.00498","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-07-01T14:55:48.645423Z","title":"ArXiv Preprint: 2404.00498 , Year =","venue":null,"work_id":"90b09ba6-82c9-45e8-8eff-885bfe7cf39a","year":2024},"citing_paper":{"arxiv_id":"2605.18528","last_updated":"2026-05-31T14:16:59Z","snapshot_observed_at":"2026-07-06T23:29:24.494326Z","submitted_at":"2026-05-18T15:13:18Z","title":"Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-06-30T18:27:40.390908Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2605.18528"},"observation_digest":"sha256:15c7c89d988c58abc58638f5203feb874a33ad1e830d9d9a946dd532f6fd03d2","observation_id":"cf45b86a-7681-46cd-a8b5-f30557cc1deb","resolution":{"observed_at":"2026-07-01T14:55:48.648154Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00498","snapshot_observed_at":"2026-08-03T03:15:14.252038Z","title":"94% on CIFAR-10 in 3.29 seconds on a single GPU, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29626","last_updated":"2026-07-31T16:58:00Z","snapshot_observed_at":"2026-08-09T10:35:59.122464Z","submitted_at":"2026-07-31T16:58:00Z","title":"AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T03:15:14.252038Z"},"links":{"cited_paper":"/paper/2404.00498","citing_paper":"/paper/2607.29626"},"observation_digest":"sha256:d5706053d2093e01b5b2a16cd05635c835de38c5a50e10439041e1a7ace05d38","observation_id":"fcc33051-919c-462f-bf39-13a6c57c2847","resolution":{"observed_at":"2026-08-03T03:15:14.252038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.00498/citation-record","integrity":"/paper/2404.00498/integrity","json":"/paper/2404.00498/citation-record.json","paper":"/paper/2404.00498"},"outbound":[],"paper":{"arxiv_id":"2404.00498","last_updated":"2024-04-05T00:09:00Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T03:52:38.673670Z","submitted_at":"2024-03-30T23:42:23Z","title":"94% on CIFAR-10 in 3.29 Seconds on a Single GPU"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.00498."}