{"as_of":"2026-08-08T07:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e61e90989d422320b650b6a977eb98f119e17f8a33788440470c803791d7932d","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:30:51.868185Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.06158","last_updated":"2024-10-12T21:38:28Z","snapshot_observed_at":"2026-08-06T16:04:26.423565Z","submitted_at":"2024-06-10T10:42:37Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06158","snapshot_observed_at":"2026-08-02T21:30:51.868185Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning, 06 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.20062","last_updated":"2026-06-30T08:25:25Z","snapshot_observed_at":"2026-08-06T03:53:38.456812Z","submitted_at":"2026-02-23T17:19:33Z","title":"A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-02T21:30:51.868185Z"},"links":{"cited_paper":"/paper/2406.06158","citing_paper":"/paper/2602.20062"},"observation_digest":"sha256:2b6825787a6d8914507951bea42ee8d4cc63c18412655a01dcf15d7dd7a43110","observation_id":"be810198-8210-43b1-879f-11a02e250506","resolution":{"observed_at":"2026-08-02T21:30:51.868185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06158","last_updated":"2024-10-12T21:38:28Z","snapshot_observed_at":"2026-08-06T16:04:26.423565Z","submitted_at":"2024-06-10T10:42:37Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","version":2},"cited_work":{"arxiv_id":"2406.06158","doi":"10.48550/arxiv.2406.06158","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.06158","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","venue":"arXiv (Cornell University)","work_id":"0aec4910-86bd-4812-a506-86fda0c9a606","year":2024},"citing_paper":{"arxiv_id":"2605.07870","last_updated":"2026-05-21T16:56:03Z","snapshot_observed_at":"2026-07-06T23:20:11.042952Z","submitted_at":"2026-05-08T15:28:01Z","title":"Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-11T03:02:52.833353Z"},"links":{"cited_paper":"/paper/2406.06158","citing_paper":"/paper/2605.07870"},"observation_digest":"sha256:a228455732e3c307dc8f4af3e39e44748d9324d763b5e03c6e6baf8a7f016a48","observation_id":"2d75937f-2a85-4b0a-81f6-e259b36e3dd5","resolution":{"observed_at":"2026-05-11T03:05:53.497040Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06158","last_updated":"2024-10-12T21:38:28Z","snapshot_observed_at":"2026-08-06T16:04:26.423565Z","submitted_at":"2024-06-10T10:42:37Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","version":2},"cited_work":{"arxiv_id":"2406.06158","doi":"10.48550/arxiv.2406.06158","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.06158","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","venue":"arXiv (Cornell University)","work_id":"0aec4910-86bd-4812-a506-86fda0c9a606","year":2024},"citing_paper":{"arxiv_id":"2605.07870","last_updated":"2026-05-21T16:56:03Z","snapshot_observed_at":"2026-07-06T23:20:11.042952Z","submitted_at":"2026-05-08T15:28:01Z","title":"Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-22T10:25:54.649302Z"},"links":{"cited_paper":"/paper/2406.06158","citing_paper":"/paper/2605.07870"},"observation_digest":"sha256:e3d964564c9984d43ac3ef668addafbd6d34f631a483587415398cc769ccdc7f","observation_id":"45d06a2e-b69b-49bb-b930-bb932d03eb55","resolution":{"observed_at":"2026-05-22T10:26:24.185777Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06158","last_updated":"2024-10-12T21:38:28Z","snapshot_observed_at":"2026-08-06T16:04:26.423565Z","submitted_at":"2024-06-10T10:42:37Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","version":2},"cited_work":{"arxiv_id":"2406.06158","doi":"10.48550/arxiv.2406.06158","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.06158","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","venue":"arXiv (Cornell University)","work_id":"0aec4910-86bd-4812-a506-86fda0c9a606","year":2024},"citing_paper":{"arxiv_id":"2606.00243","last_updated":"2026-05-29T18:19:45Z","snapshot_observed_at":"2026-08-07T08:27:18.799418Z","submitted_at":"2026-05-29T18:19:45Z","title":"Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-28T19:18:30.663355Z"},"links":{"cited_paper":"/paper/2406.06158","citing_paper":"/paper/2606.00243"},"observation_digest":"sha256:a6f730722e6ff0a296a1cc0ef446095d8f11300767e1c9fb0996da6f0c059d18","observation_id":"4a4d528a-3188-4bfa-96a2-bb7279da4540","resolution":{"observed_at":"2026-06-28T19:22:33.922438Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06158","last_updated":"2024-10-12T21:38:28Z","snapshot_observed_at":"2026-08-06T16:04:26.423565Z","submitted_at":"2024-06-10T10:42:37Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06158","snapshot_observed_at":"2026-07-12T01:11:50.444218Z","title":"arXiv preprint arXiv:2406.06158 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03613","last_updated":"2026-07-03T22:03:13Z","snapshot_observed_at":"2026-07-12T01:11:45.525555Z","submitted_at":"2026-07-03T22:03:13Z","title":"Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse","version":1},"reference_index":272,"source":"arxiv_source","source_observed_at":"2026-07-12T01:11:50.444218Z"},"links":{"cited_paper":"/paper/2406.06158","citing_paper":"/paper/2607.03613"},"observation_digest":"sha256:a6c257f21298fa26c9872b9013b14e562e385ed462611614a0b82779e01e1765","observation_id":"90370eb2-f4a8-447b-a192-02f1418569cf","resolution":{"observed_at":"2026-07-12T01:11:50.444218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.06158/citation-record","integrity":"/paper/2406.06158/integrity","json":"/paper/2406.06158/citation-record.json","paper":"/paper/2406.06158"},"outbound":[],"paper":{"arxiv_id":"2406.06158","last_updated":"2024-10-12T21:38:28Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T16:04:26.423565Z","submitted_at":"2024-06-10T10:42:37Z","title":"Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.06158."}