{"as_of":"2026-08-09T10:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:20df64f43fe34becaced1c69cc2e253a05a5a8b2da2952ce3b7756ada151acd2","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T04:22:15.233882Z","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":"2026-05-11T18:26:13.037509Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.15941","last_updated":"2024-06-22T21:14:24Z","snapshot_observed_at":"2026-08-06T11:47:59.748767Z","submitted_at":"2024-06-22T21:14:24Z","title":"Towards Exact Computation of Inductive Bias","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15941","snapshot_observed_at":"2026-08-06T04:22:15.233882Z","title":"Towards exact computation of inductive bias,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03649","last_updated":"2025-08-05T16:57:24Z","snapshot_observed_at":"2026-08-06T04:22:14.596374Z","submitted_at":"2025-08-05T16:57:24Z","title":"Cross-Model Semantics in Representation Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T04:22:15.233882Z"},"links":{"cited_paper":"/paper/2406.15941","citing_paper":"/paper/2508.03649"},"observation_digest":"sha256:aa37317aed8fadf1e98aba6fd76f77eae1a8260ea60394fcc333e9f6a1fa0e47","observation_id":"a9b8217f-3b0f-4428-8c2c-acb5ea854cd5","resolution":{"observed_at":"2026-08-06T04:22:15.233882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15941","last_updated":"2024-06-22T21:14:24Z","snapshot_observed_at":"2026-08-06T11:47:59.748767Z","submitted_at":"2024-06-22T21:14:24Z","title":"Towards Exact Computation of Inductive Bias","version":1},"cited_work":{"arxiv_id":"2406.15941","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.15941","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards Exact Computation of Inductive Bias, June 2024","venue":null,"work_id":"b8927893-ab08-4020-b95f-0d04abd29289","year":2024},"citing_paper":{"arxiv_id":"2605.05436","last_updated":"2026-05-06T20:52:42Z","snapshot_observed_at":"2026-08-02T06:37:23.588497Z","submitted_at":"2026-05-06T20:52:42Z","title":"Estimating Implicit Regularization in Deep Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T15:54:21.139902Z"},"links":{"cited_paper":"/paper/2406.15941","citing_paper":"/paper/2605.05436"},"observation_digest":"sha256:c59b42d04e6b37e4eb90f3db79445580f98bdf6676d3616d176c673af187a597","observation_id":"56a90852-2fc9-46e0-a968-da78d3744ea7","resolution":{"observed_at":"2026-05-11T18:26:13.040257Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.15941/citation-record","integrity":"/paper/2406.15941/integrity","json":"/paper/2406.15941/citation-record.json","paper":"/paper/2406.15941"},"outbound":[],"paper":{"arxiv_id":"2406.15941","last_updated":"2024-06-22T21:14:24Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T11:47:59.748767Z","submitted_at":"2024-06-22T21:14:24Z","title":"Towards Exact Computation of Inductive Bias"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15941."}