{"as_of":"2026-08-13T07:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:46c9280fa05ffbe541f170fd7f3c0e61b1bd06d1423e6d33fed5b3f8ce0cb173","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:36:20.098137Z","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":7,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.08404","last_updated":"2024-01-20T15:50:57Z","snapshot_observed_at":"2026-08-13T04:10:14.361253Z","submitted_at":"2023-05-15T07:40:07Z","title":"Theoretical Analysis of Inductive Biases in Deep Convolutional Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08404","snapshot_observed_at":"2026-08-12T15:36:20.098137Z","title":"Deep Sets","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.14288","last_updated":"2025-01-23T22:12:32Z","snapshot_observed_at":"2026-08-12T19:15:51.195432Z","submitted_at":"2024-11-21T16:36:01Z","title":"On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-12T15:36:20.098137Z"},"links":{"cited_paper":"/paper/2305.08404","citing_paper":"/paper/2411.14288"},"observation_digest":"sha256:e27cc2263f0d31c475cc998f41db99d792d715c3491e5ae2d2109f1c7d1b0464","observation_id":"53e120c2-2435-4385-9cbd-1fe6c055543c","resolution":{"observed_at":"2026-08-12T15:36:20.098137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08404","last_updated":"2024-01-20T15:50:57Z","snapshot_observed_at":"2026-08-13T04:10:14.361253Z","submitted_at":"2023-05-15T07:40:07Z","title":"Theoretical Analysis of Inductive Biases in Deep Convolutional Networks","version":2},"cited_work":{"arxiv_id":"2305.08404","doi":"10.48550/arxiv.2305.08404","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.08404","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Wu , L","venue":"arXiv (Cornell University)","work_id":"ac0d6922-fac6-4a46-bfba-44518dfce000","year":2023},"citing_paper":{"arxiv_id":"2605.13445","last_updated":"2026-05-13T12:39:12Z","snapshot_observed_at":"2026-08-12T13:51:12.019984Z","submitted_at":"2026-05-13T12:39:12Z","title":"VLTI/PIONIER imaging of post-AGB binaries. An INSPIRING hunt for inner rim substructures in circumbinary discs","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-14T18:06:35.150803Z"},"links":{"cited_paper":"/paper/2305.08404","citing_paper":"/paper/2605.13445"},"observation_digest":"sha256:edb27cd5d90c9218280eaa91e9bff99719cd90ac6f7f8422f276fa178b1469f2","observation_id":"c1638e8a-74cc-4015-90b0-4d0ace265d8f","resolution":{"observed_at":"2026-05-14T18:07:32.511785Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08404","last_updated":"2024-01-20T15:50:57Z","snapshot_observed_at":"2026-08-13T04:10:14.361253Z","submitted_at":"2023-05-15T07:40:07Z","title":"Theoretical Analysis of Inductive Biases in Deep Convolutional Networks","version":2},"cited_work":{"arxiv_id":"2305.08404","doi":"10.48550/arxiv.2305.08404","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.08404","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Wu , L","venue":"arXiv (Cornell University)","work_id":"ac0d6922-fac6-4a46-bfba-44518dfce000","year":2023},"citing_paper":{"arxiv_id":"2605.13445","last_updated":"2026-05-13T12:39:12Z","snapshot_observed_at":"2026-08-12T13:51:12.019984Z","submitted_at":"2026-05-13T12:39:12Z","title":"VLTI/PIONIER imaging of post-AGB binaries. An INSPIRING hunt for inner rim substructures in circumbinary discs","version":1},"reference_index":283,"source":"arxiv_source","source_observed_at":"2026-05-14T18:06:35.150803Z"},"links":{"cited_paper":"/paper/2305.08404","citing_paper":"/paper/2605.13445"},"observation_digest":"sha256:96c623e1de1789eb4d9d497a3a0d22958ce34bc18e0f5f21a773366ff31c6d59","observation_id":"94b5857d-f4dd-402a-bb5d-3b426759a758","resolution":{"observed_at":"2026-05-14T18:07:33.655987Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.08404/citation-record","integrity":"/paper/2305.08404/integrity","json":"/paper/2305.08404/citation-record.json","paper":"/paper/2305.08404"},"outbound":[],"paper":{"arxiv_id":"2305.08404","last_updated":"2024-01-20T15:50:57Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T04:10:14.361253Z","submitted_at":"2023-05-15T07:40:07Z","title":"Theoretical Analysis of Inductive Biases in Deep Convolutional 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.08404."}