{"as_of":"2026-08-08T11:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04bbe524fa1baf2dfe7dd7787bc20c5d841850daa462858a860b55830c9e525e","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:39:38.081852Z","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":"2026-05-18T13:46:25.923805Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.19597","last_updated":"2024-05-30T01:27:43Z","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19597","snapshot_observed_at":"2026-08-07T15:39:38.081852Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14367","last_updated":"2025-05-21T04:18:20Z","snapshot_observed_at":"2026-08-07T15:33:19.752883Z","submitted_at":"2025-05-20T13:49:15Z","title":"Dual Decomposition of Weights and Singular Value Low Rank Adaptation","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T15:39:38.081852Z"},"links":{"cited_paper":"/paper/2405.19597","citing_paper":"/paper/2505.14367"},"observation_digest":"sha256:e2d29dadb6084ba485de0ca927047d0c71f963397dd58a3f0bc3772d3b5543af","observation_id":"9751f65f-0509-4bdf-ac4c-f591a22ec975","resolution":{"observed_at":"2026-08-07T15:39:38.081852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19597","last_updated":"2024-05-30T01:27:43Z","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19597","snapshot_observed_at":"2026-08-07T15:21:53.971909Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15471","last_updated":"2025-05-21T12:46:42Z","snapshot_observed_at":"2026-08-08T09:01:42.423991Z","submitted_at":"2025-05-21T12:46:42Z","title":"CoLA: Collaborative Low-Rank Adaptation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T15:21:53.971909Z"},"links":{"cited_paper":"/paper/2405.19597","citing_paper":"/paper/2505.15471"},"observation_digest":"sha256:cad4a81e53ab43d20351b264ffc70515ce254f2547ba37c72d728bd709d03cb9","observation_id":"ade8f903-2171-4f60-b37a-c1d35b1fb749","resolution":{"observed_at":"2026-08-07T15:21:53.971909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19597","last_updated":"2024-05-30T01:27:43Z","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19597","snapshot_observed_at":"2026-08-07T14:28:15.841023Z","title":"Svft: Parameter-efficient fine-tuning with singular vectors.arXiv:2405.19597, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18877","last_updated":"2026-05-29T23:09:57Z","snapshot_observed_at":"2026-08-07T14:21:48.174410Z","submitted_at":"2025-05-24T21:33:16Z","title":"RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:28:15.841023Z"},"links":{"cited_paper":"/paper/2405.19597","citing_paper":"/paper/2505.18877"},"observation_digest":"sha256:8a1a275ccdc7727f514a0bf24bdba50bade804ea80fa02d19dd1278a51b97dd7","observation_id":"3850cd44-e170-4585-9935-af9e32d5b505","resolution":{"observed_at":"2026-08-07T14:28:15.841023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19597","last_updated":"2024-05-30T01:27:43Z","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19597","snapshot_observed_at":"2026-08-06T19:53:03.648292Z","title":"Svft: Parameter-efficient fine-tuning with singular vectors","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04599","last_updated":"2025-07-24T09:12:08Z","snapshot_observed_at":"2026-08-06T19:41:54.718857Z","submitted_at":"2025-07-07T01:31:01Z","title":"QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:53:03.648292Z"},"links":{"cited_paper":"/paper/2405.19597","citing_paper":"/paper/2507.04599"},"observation_digest":"sha256:f062828e730017241600b7a170e31f17f18eaa9d1419d5e78a0fbaad67309769","observation_id":"7d57f4b1-d466-40c7-8e08-2a1bbdbaa835","resolution":{"observed_at":"2026-08-06T19:53:03.648292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19597","last_updated":"2024-05-30T01:27:43Z","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors","version":1},"cited_work":{"arxiv_id":"2405.19597","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.19597","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, and Min-Hung Chen","venue":null,"work_id":"2b8eccb7-1823-4869-99d4-d8f64f8dc23d","year":null},"citing_paper":{"arxiv_id":"2509.18629","last_updated":"2026-04-22T19:36:04Z","snapshot_observed_at":"2026-07-06T22:30:31.933240Z","submitted_at":"2025-09-23T04:29:26Z","title":"HyperAdapt: Simple High-Rank Adaptation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-18T13:44:09.263459Z"},"links":{"cited_paper":"/paper/2405.19597","citing_paper":"/paper/2509.18629"},"observation_digest":"sha256:4ede531265a5806a6fec9617cfc4c6d51aa9ece1a36f5bc77c129b0d238b4085","observation_id":"51e73d22-4792-4b2f-b635-7b7dd07a767b","resolution":{"observed_at":"2026-05-18T13:46:25.926571Z","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":"2405.19597","last_updated":"2024-05-30T01:27:43Z","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19597","snapshot_observed_at":"2026-08-02T09:51:03.817400Z","title":"arXiv preprint arXiv:2405.19597 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16252","last_updated":"2026-06-27T03:25:36Z","snapshot_observed_at":"2026-08-08T02:31:05.095460Z","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":235,"source":"arxiv_source","source_observed_at":"2026-08-02T09:51:03.817400Z"},"links":{"cited_paper":"/paper/2405.19597","citing_paper":"/paper/2607.16252"},"observation_digest":"sha256:3f6eb035f6e94566444abc985bf119d06f3618fc7a6d41b15b6be269618c2498","observation_id":"c3282621-355e-4ca4-95e1-9fdca39b5676","resolution":{"observed_at":"2026-08-02T09:51:03.817400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.19597/citation-record","integrity":"/paper/2405.19597/integrity","json":"/paper/2405.19597/citation-record.json","paper":"/paper/2405.19597"},"outbound":[],"paper":{"arxiv_id":"2405.19597","last_updated":"2024-05-30T01:27:43Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-31T09:18:53.492996Z","submitted_at":"2024-05-30T01:27:43Z","title":"SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors"},"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 6 inbound Pith citation observations for arXiv:2405.19597."}