{"as_of":"2026-08-09T08:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a07f80709ba2fc7aff22b8a13dc280f8593bac7df9baff3dc7fadcdf8e31382e","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":"2026-08-05T17:33:13.475037Z","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":"2026-05-13T11:32:36.893255Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.03748","last_updated":"2023-11-07T06:19:37Z","snapshot_observed_at":"2026-08-08T22:59:37.561433Z","submitted_at":"2023-11-07T06:19:37Z","title":"Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning","version":1},"cited_work":{"arxiv_id":"2311.03748","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.03748","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unified low-resource sequence labeling by sample-aware dynamic sparse fine- tuning","venue":null,"work_id":"573b3913-5cb0-48cc-a8c9-1f6be4d3d692","year":2023},"citing_paper":{"arxiv_id":"2403.14608","last_updated":"2024-09-16T02:54:50Z","snapshot_observed_at":"2026-08-04T09:07:42.158421Z","submitted_at":"2024-03-21T17:55:50Z","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","version":7},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-13T11:32:36.738536Z"},"links":{"cited_paper":"/paper/2311.03748","citing_paper":"/paper/2403.14608"},"observation_digest":"sha256:cf758713fb9903b293be4ddcb3e1be0be8c5db294bd33ffc5f364a5ade8c8647","observation_id":"bb890ca1-855f-4a75-89eb-c9eee40ed0f4","resolution":{"observed_at":"2026-05-13T11:32:36.894757Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2311.03748","last_updated":"2023-11-07T06:19:37Z","snapshot_observed_at":"2026-08-08T22:59:37.561433Z","submitted_at":"2023-11-07T06:19:37Z","title":"Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.03748","snapshot_observed_at":"2026-08-05T17:33:13.475037Z","title":"Unified low-resource sequence labeling by sample-aware dynamic sparse finetuning, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.16191","last_updated":"2025-08-22T08:12:06Z","snapshot_observed_at":"2026-08-07T23:09:48.831652Z","submitted_at":"2025-08-22T08:12:06Z","title":"GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T17:33:13.475037Z"},"links":{"cited_paper":"/paper/2311.03748","citing_paper":"/paper/2508.16191"},"observation_digest":"sha256:a13b4c5a883102e6ccda8533784fbad3207062025173f5c99f4f15313d2ba8e5","observation_id":"d66a7e00-af97-493b-aaa5-77317cd53982","resolution":{"observed_at":"2026-08-05T17:33:13.475037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.03748/citation-record","integrity":"/paper/2311.03748/integrity","json":"/paper/2311.03748/citation-record.json","paper":"/paper/2311.03748"},"outbound":[],"paper":{"arxiv_id":"2311.03748","last_updated":"2023-11-07T06:19:37Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T22:59:37.561433Z","submitted_at":"2023-11-07T06:19:37Z","title":"Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning"},"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:2311.03748."}