{"as_of":"2026-08-09T00:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:93b189c7486e5258b116f2e4858875fe826decf37a27b6a453862ebcf6896dac","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T22:06:38.867893Z","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":"2026-07-03T05:17:40.219340Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.13425","last_updated":"2025-02-20T02:24:55Z","snapshot_observed_at":"2026-08-08T10:47:51.541069Z","submitted_at":"2024-04-20T17:19:54Z","title":"Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13425","snapshot_observed_at":"2026-08-08T22:06:38.867893Z","title":"Advlora: Adversarial low-rank adaptation of vision-language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04643","last_updated":"2025-02-10T06:46:48Z","snapshot_observed_at":"2026-08-08T21:57:10.417023Z","submitted_at":"2025-02-07T04:07:36Z","title":"Confidence Elicitation: A New Attack Vector for Large Language Models","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T22:06:38.867893Z"},"links":{"cited_paper":"/paper/2404.13425","citing_paper":"/paper/2502.04643"},"observation_digest":"sha256:fa26d849f1ed4c79d43ee2a73cd66d74a8b3b5461280a295e349b551bbeaf73d","observation_id":"647e80db-2238-4247-b5ac-5712ba10c4ae","resolution":{"observed_at":"2026-08-08T22:06:38.867893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13425","last_updated":"2025-02-20T02:24:55Z","snapshot_observed_at":"2026-08-08T10:47:51.541069Z","submitted_at":"2024-04-20T17:19:54Z","title":"Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13425","snapshot_observed_at":"2026-08-08T11:51:10.097799Z","title":"Advlora: Adversarial low-rank adaptation of vision- language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07739","last_updated":"2025-05-26T08:53:14Z","snapshot_observed_at":"2026-08-08T11:40:44.827344Z","submitted_at":"2025-02-11T17:59:35Z","title":"HRP: High-Rank Preheating for Superior LoRA Initialization","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T11:51:10.097799Z"},"links":{"cited_paper":"/paper/2404.13425","citing_paper":"/paper/2502.07739"},"observation_digest":"sha256:4fafc0de515cdc179965ee8a1e31528c5f5f97a24591f8fb617ef7482d114e6f","observation_id":"a41f7d7b-7040-44d1-9484-7601dfe22f2f","resolution":{"observed_at":"2026-08-08T11:51:10.097799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13425","last_updated":"2025-02-20T02:24:55Z","snapshot_observed_at":"2026-08-08T10:47:51.541069Z","submitted_at":"2024-04-20T17:19:54Z","title":"Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation","version":3},"cited_work":{"arxiv_id":"2404.13425","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.13425","snapshot_observed_at":"2026-07-03T05:17:40.219340Z","title":"Advlora: Adversarial low-rank adaptation of vision- language models","venue":null,"work_id":"59bfc50a-fa64-4506-8cdc-5aae0ff57f05","year":2024},"citing_paper":{"arxiv_id":"2505.06907","last_updated":"2026-05-18T08:23:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-11T08:57:53Z","title":"A Survey on Foundation Models for Personalized Federated Intelligence","version":2},"reference_index":222,"source":"pdf_text","source_observed_at":"2026-05-22T15:32:15.293888Z"},"links":{"cited_paper":"/paper/2404.13425","citing_paper":"/paper/2505.06907"},"observation_digest":"sha256:150a9cb4af9c31840bf29add68a5f118d310eff348cecd1203796d83100d35ca","observation_id":"6624d3db-2eca-46d0-bdb5-c55b267b4c91","resolution":{"observed_at":"2026-05-22T15:34:57.738650Z","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":"2404.13425","last_updated":"2025-02-20T02:24:55Z","snapshot_observed_at":"2026-08-08T10:47:51.541069Z","submitted_at":"2024-04-20T17:19:54Z","title":"Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation","version":3},"cited_work":{"arxiv_id":"2404.13425","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.13425","snapshot_observed_at":"2026-07-03T05:17:40.219340Z","title":"Advlora: Adversarial low-rank adaptation of vision- language models","venue":null,"work_id":"59bfc50a-fa64-4506-8cdc-5aae0ff57f05","year":2024},"citing_paper":{"arxiv_id":"2506.06856","last_updated":"2026-05-06T17:36:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-07T16:37:46Z","title":"Vision-EKIPL: External Knowledge-Infused Policy Learning for Visual Reasoning","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-19T10:34:48.849524Z"},"links":{"cited_paper":"/paper/2404.13425","citing_paper":"/paper/2506.06856"},"observation_digest":"sha256:627e516effb0d3fb3c373106ef2c0288b54335708280881b35435d5b8da8791e","observation_id":"d2a3af87-324d-49c7-ad01-28042fc97811","resolution":{"observed_at":"2026-05-19T10:37:15.005447Z","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":"2404.13425","last_updated":"2025-02-20T02:24:55Z","snapshot_observed_at":"2026-08-08T10:47:51.541069Z","submitted_at":"2024-04-20T17:19:54Z","title":"Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation","version":3},"cited_work":{"arxiv_id":"2404.13425","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.13425","snapshot_observed_at":"2026-07-03T05:17:40.219340Z","title":"Advlora: Adversarial low-rank adaptation of vision- language models","venue":null,"work_id":"59bfc50a-fa64-4506-8cdc-5aae0ff57f05","year":2024},"citing_paper":{"arxiv_id":"2606.10610","last_updated":"2026-06-09T09:11:33Z","snapshot_observed_at":"2026-08-02T15:21:45.577242Z","submitted_at":"2026-06-09T09:11:33Z","title":"Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-27T13:20:38.336401Z"},"links":{"cited_paper":"/paper/2404.13425","citing_paper":"/paper/2606.10610"},"observation_digest":"sha256:7d477691a0a5a06188024ef1df63ed879dc09e31a09bcf0dfccc3103ae518aa4","observation_id":"4692fe6e-3cfe-46df-bd83-ad22676538e1","resolution":{"observed_at":"2026-07-03T05:17:40.220926Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2404.13425/citation-record","integrity":"/paper/2404.13425/integrity","json":"/paper/2404.13425/citation-record.json","paper":"/paper/2404.13425"},"outbound":[],"paper":{"arxiv_id":"2404.13425","last_updated":"2025-02-20T02:24:55Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T10:47:51.541069Z","submitted_at":"2024-04-20T17:19:54Z","title":"Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.13425."}