{"as_of":"2026-08-09T20:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:816e6ec4fb0490760e1d5c30eae5fe64ecefaa9b01cef5b00eb0740651672b39","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T17:33:12.771427Z","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":"2026-08-05T17:33:18.576356Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.14470","last_updated":"2025-06-23T16:25:27Z","snapshot_observed_at":"2026-08-08T07:47:48.276022Z","submitted_at":"2024-08-26T17:58:53Z","title":"Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models","version":3},"cited_work":{"arxiv_id":"2408.14470","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.14470","snapshot_observed_at":"2026-08-05T17:33:18.576356Z","title":"Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models","venue":"cs.CL","work_id":"e890c929-459b-4258-af96-9e7a67fb1239","year":2024},"citing_paper":{"arxiv_id":"2508.16191","last_updated":"2025-08-22T08:12:06Z","snapshot_observed_at":"2026-08-09T16:09:26.472798Z","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":1,"source":"arxiv_source","source_observed_at":"2026-08-05T17:33:12.771427Z"},"links":{"cited_paper":"/paper/2408.14470","citing_paper":"/paper/2508.16191"},"observation_digest":"sha256:f084bade39d12ef0df339c2fb9c3eeaf3f24bc33516faf4859f474374a651486","observation_id":"3f608c5b-67aa-4a15-8bda-57f44af4bdf0","resolution":{"observed_at":"2026-08-05T17:33:18.651844Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2408.14470/citation-record","integrity":"/paper/2408.14470/integrity","json":"/paper/2408.14470/citation-record.json","paper":"/paper/2408.14470"},"outbound":[],"paper":{"arxiv_id":"2408.14470","last_updated":"2025-06-23T16:25:27Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T07:47:48.276022Z","submitted_at":"2024-08-26T17:58:53Z","title":"Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models"},"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 1 inbound Pith citation observation for arXiv:2408.14470."}