{"as_of":"2026-08-16T00:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:72cd3d4eabd348635915fa578b79587727c7c7c5364da432bccfe93ef378113c","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":"2026-08-15T06:32:42.880941+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":"2026-08-06T20:35:01.235947Z","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":"2026-08-06T20:35:08.368162Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.12220","last_updated":"2024-12-06T23:18:31Z","snapshot_observed_at":"2026-08-13T09:42:03.843280Z","submitted_at":"2024-02-19T15:26:19Z","title":"Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting","version":3},"cited_work":{"arxiv_id":"2402.12220","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.12220","snapshot_observed_at":"2026-08-06T20:35:08.368162Z","title":"Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting","venue":"eess.AS","work_id":"cd939373-ed6b-4a33-a7b9-9fae5eeb8436","year":2024},"citing_paper":{"arxiv_id":"2507.02503","last_updated":"2025-07-03T10:11:22Z","snapshot_observed_at":"2026-08-14T16:33:43.544771Z","submitted_at":"2025-07-03T10:11:22Z","title":"Continual Gradient Low-Rank Projection Fine-Tuning for LLMs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T20:35:01.235947Z"},"links":{"cited_paper":"/paper/2402.12220","citing_paper":"/paper/2507.02503"},"observation_digest":"sha256:e60fe1a530674b6dcbc6318fcf99cbbfe4773e5b28293c54dae665fe7db63b76","observation_id":"ea68e80d-c1cb-4d72-947c-a6625e497140","resolution":{"observed_at":"2026-08-06T20:35:08.397434Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12220","last_updated":"2024-12-06T23:18:31Z","snapshot_observed_at":"2026-08-13T09:42:03.843280Z","submitted_at":"2024-02-19T15:26:19Z","title":"Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12220","snapshot_observed_at":"2026-08-02T09:51:03.456655Z","title":"arXiv preprint arXiv:2402.12220 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16252","last_updated":"2026-06-27T03:25:36Z","snapshot_observed_at":"2026-08-15T11:53:27.818705Z","submitted_at":"2026-06-27T03:25:36Z","title":"SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-02T09:51:03.456655Z"},"links":{"cited_paper":"/paper/2402.12220","citing_paper":"/paper/2607.16252"},"observation_digest":"sha256:a79c6ff7bfb9fea36010f6473c706626e851cc1a16f00ba40a626ccb43d028b2","observation_id":"03776e9e-3188-4539-98cc-2ce1b3a58af0","resolution":{"observed_at":"2026-08-02T09:51:03.456655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.12220/citation-record","integrity":"/paper/2402.12220/integrity","json":"/paper/2402.12220/citation-record.json","paper":"/paper/2402.12220"},"outbound":[],"paper":{"arxiv_id":"2402.12220","last_updated":"2024-12-06T23:18:31Z","latest_version":3,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-13T09:42:03.843280Z","submitted_at":"2024-02-19T15:26:19Z","title":"Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12220."}