{"as_of":"2026-08-09T11:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ded42ef73e952a2b4a408c5a8188f8e93783a43741e8b1581608dc9d8ca2b3a1","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":"2026-08-05T17:33:16.547782Z","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":"2026-08-05T16:10:53.518014Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.02596","last_updated":"2024-05-04T07:44:18Z","snapshot_observed_at":"2026-08-06T04:49:40.074002Z","submitted_at":"2024-05-04T07:44:18Z","title":"Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02596","snapshot_observed_at":"2026-08-05T17:33:16.547782Z","title":"Random masking finds winning tickets for parameter efficient fine-tuning, 2024","venue":null,"work_id":null,"year":2024},"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":38,"source":"arxiv_source","source_observed_at":"2026-08-05T17:33:16.547782Z"},"links":{"cited_paper":"/paper/2405.02596","citing_paper":"/paper/2508.16191"},"observation_digest":"sha256:4de026c4675c64ff8ef4d424192589735e611e426357bc1bfcd572cf62cd5069","observation_id":"bcb6d216-929c-4819-a916-c6c6a1d2d1ed","resolution":{"observed_at":"2026-08-05T17:33:16.547782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02596","last_updated":"2024-05-04T07:44:18Z","snapshot_observed_at":"2026-08-06T04:49:40.074002Z","submitted_at":"2024-05-04T07:44:18Z","title":"Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning","version":1},"cited_work":{"arxiv_id":"2405.02596","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.02596","snapshot_observed_at":"2026-08-05T16:10:53.518014Z","title":"Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning","venue":"cs.LG","work_id":"c830cb6d-37f8-49e8-8d74-9d8219c73879","year":2024},"citing_paper":{"arxiv_id":"2508.18911","last_updated":"2025-08-27T04:14:45Z","snapshot_observed_at":"2026-08-07T03:54:11.925644Z","submitted_at":"2025-08-26T10:34:13Z","title":"Enhancing Model Privacy in Federated Learning with Random Masking and Quantization","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T16:10:53.389678Z"},"links":{"cited_paper":"/paper/2405.02596","citing_paper":"/paper/2508.18911"},"observation_digest":"sha256:0e8933ac5591730431719af77a4cf37957c01b6870786e63f59b51cbb1ff4aa0","observation_id":"ec4b757e-afd4-495a-8ea5-439089e83354","resolution":{"observed_at":"2026-08-05T16:10:53.523269Z","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/2405.02596/citation-record","integrity":"/paper/2405.02596/integrity","json":"/paper/2405.02596/citation-record.json","paper":"/paper/2405.02596"},"outbound":[],"paper":{"arxiv_id":"2405.02596","last_updated":"2024-05-04T07:44:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T04:49:40.074002Z","submitted_at":"2024-05-04T07:44:18Z","title":"Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning"},"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:2405.02596."}