{"as_of":"2026-08-08T08:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a7de489c0edf53d439d1bf4d8322f2c86dfeb35c1ad6b3309832ba30a03b237","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T10:40:51.654193Z","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":"2026-05-19T02:46:59.630816Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.00478","last_updated":"2024-12-17T07:30:46Z","snapshot_observed_at":"2026-07-06T18:38:59.090751Z","submitted_at":"2024-06-29T15:52:37Z","title":"Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks","version":3},"cited_work":{"arxiv_id":"2407.00478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00478","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Knowledge- aware parsimony learning: A perspective from relational graphs","venue":null,"work_id":"f216854c-cd45-4c28-b718-66ae50eafdec","year":2024},"citing_paper":{"arxiv_id":"2508.00933","last_updated":"2025-07-31T02:06:03Z","snapshot_observed_at":"2026-07-06T22:06:34.382572Z","submitted_at":"2025-07-31T02:06:03Z","title":"OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-19T02:44:39.190108Z"},"links":{"cited_paper":"/paper/2407.00478","citing_paper":"/paper/2508.00933"},"observation_digest":"sha256:6f5c700beec10ae7ebf48fd78d9a68c082b576bbe40c35bdd0c55f7a9b3459f8","observation_id":"618a3004-5420-47a3-aec2-9e7560a70613","resolution":{"observed_at":"2026-05-19T02:46:59.633108Z","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":"2407.00478","last_updated":"2024-12-17T07:30:46Z","snapshot_observed_at":"2026-07-06T18:38:59.090751Z","submitted_at":"2024-06-29T15:52:37Z","title":"Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00478","snapshot_observed_at":"2026-08-06T10:40:51.654193Z","title":"Knowledge- aware parsimony learning: A perspective from relational graphs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00938","last_updated":"2025-07-31T13:00:10Z","snapshot_observed_at":"2026-08-06T10:40:46.478608Z","submitted_at":"2025-07-31T13:00:10Z","title":"Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T10:40:51.654193Z"},"links":{"cited_paper":"/paper/2407.00478","citing_paper":"/paper/2508.00938"},"observation_digest":"sha256:b040c6542e284d0988e8ec58ef462a04514d3433017a5bdcd72a02c435db5482","observation_id":"1c01a8f1-e6cc-4b78-83b2-dc9839407c94","resolution":{"observed_at":"2026-08-06T10:40:51.654193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.00478/citation-record","integrity":"/paper/2407.00478/integrity","json":"/paper/2407.00478/citation-record.json","paper":"/paper/2407.00478"},"outbound":[],"paper":{"arxiv_id":"2407.00478","last_updated":"2024-12-17T07:30:46Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:38:59.090751Z","submitted_at":"2024-06-29T15:52:37Z","title":"Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep 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":"2026-08-08T06:32:00.761636+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 2 inbound Pith citation observations for arXiv:2407.00478."}