{"as_of":"2026-08-17T00:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e868cf64ad8ff7a5e42eecb6d4e81ed8e325887a3061b3b357e8398aa79b0ad0","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:39:45.753110Z","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":"2026-07-02T12:06:56.078942Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.17340","last_updated":"2025-08-20T14:53:28Z","snapshot_observed_at":"2026-08-16T12:55:39.980590Z","submitted_at":"2025-02-24T17:17:00Z","title":"Low-rank bias, weight decay, and model merging in neural networks","version":2},"cited_work":{"arxiv_id":"2502.17340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17340","snapshot_observed_at":"2026-07-02T12:06:56.078942Z","title":"arXiv preprint arXiv:2502.17340 , year =","venue":null,"work_id":"19688636-180b-41eb-87de-8b74e6d3051e","year":null},"citing_paper":{"arxiv_id":"2606.05863","last_updated":"2026-06-04T08:39:04Z","snapshot_observed_at":"2026-08-12T20:23:29.067351Z","submitted_at":"2026-06-04T08:39:04Z","title":"Deciphering Two Training Clocks in Grokking via Deep Linear Network Theory with Conditional ReLU Reduction","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-06-28T02:26:16.631418Z"},"links":{"cited_paper":"/paper/2502.17340","citing_paper":"/paper/2606.05863"},"observation_digest":"sha256:2c4b7fb7d94fbd75fd0b055c9074e8480724f292964110f21c6eb06023a564df","observation_id":"378b8d95-8e07-44af-a729-c5aba2b9918a","resolution":{"observed_at":"2026-07-02T12:06:56.080208Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17340","last_updated":"2025-08-20T14:53:28Z","snapshot_observed_at":"2026-08-16T12:55:39.980590Z","submitted_at":"2025-02-24T17:17:00Z","title":"Low-rank bias, weight decay, and model merging in neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17340","snapshot_observed_at":"2026-08-15T14:39:45.753110Z","title":"Kuzborskij and Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06597","last_updated":"2026-08-06T21:15:32Z","snapshot_observed_at":"2026-08-16T17:07:30.079861Z","submitted_at":"2026-08-06T21:15:32Z","title":"Cascading Through the Hierarchy: Regularizer-Induced Feature Detection as Phase Transitions in Deep Linear Neural Networks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T14:39:45.753110Z"},"links":{"cited_paper":"/paper/2502.17340","citing_paper":"/paper/2608.06597"},"observation_digest":"sha256:03cb9d53dcf5bf96a5fcb21deb8ccdd295cc5d23dce01114a7f7178b136a020c","observation_id":"4ae5cb14-3c04-4f06-90d1-2cbfd84ed1c5","resolution":{"observed_at":"2026-08-15T14:39:45.753110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.17340/citation-record","integrity":"/paper/2502.17340/integrity","json":"/paper/2502.17340/citation-record.json","paper":"/paper/2502.17340"},"outbound":[],"paper":{"arxiv_id":"2502.17340","last_updated":"2025-08-20T14:53:28Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T12:55:39.980590Z","submitted_at":"2025-02-24T17:17:00Z","title":"Low-rank bias, weight decay, and model merging in neural networks"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.17340."}