{"as_of":"2026-08-11T05:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7b6d178c18377588de3e9b35c3ac2f565e48cf4eebf1be37a444f77400111ae2","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:05:09.706344Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T13:05:10.233552Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.00765","last_updated":"2025-07-16T14:12:38Z","snapshot_observed_at":"2026-08-06T01:10:31.811826Z","submitted_at":"2024-06-30T17:00:42Z","title":"Structured and Balanced Multi-Component and Multi-Layer Neural Networks","version":3},"cited_work":{"arxiv_id":"2407.00765","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.00765","snapshot_observed_at":"2026-08-05T13:05:10.233552Z","title":"Structured and Balanced Multi-Component and Multi-Layer Neural Networks","venue":"cs.LG","work_id":"4157ac4f-3758-426f-ae8d-fef97e395fca","year":2024},"citing_paper":{"arxiv_id":"2509.00957","last_updated":"2025-08-31T18:39:42Z","snapshot_observed_at":"2026-08-10T23:19:48.642269Z","submitted_at":"2025-08-31T18:39:42Z","title":"Deep Tangent Bundle (DTB) method: a Deep Neural Network approach to compute solutions of PDES","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:05:09.706344Z"},"links":{"cited_paper":"/paper/2407.00765","citing_paper":"/paper/2509.00957"},"observation_digest":"sha256:0577accbafbff427b85d91e7db2a7b24b98f36428c4416c3454d2788c2544899","observation_id":"6e599aa2-6742-4030-9d19-e556782ca118","resolution":{"observed_at":"2026-08-05T13:05:10.291362Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.00765/citation-record","integrity":"/paper/2407.00765/integrity","json":"/paper/2407.00765/citation-record.json","paper":"/paper/2407.00765"},"outbound":[],"paper":{"arxiv_id":"2407.00765","last_updated":"2025-07-16T14:12:38Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T01:10:31.811826Z","submitted_at":"2024-06-30T17:00:42Z","title":"Structured and Balanced Multi-Component and Multi-Layer 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.00765."}