{"as_of":"2026-08-14T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9cc07f5c0a264f1865cfaa231fbbdbbd86b783be90ba47665a9c2762f61da1c5","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:20:50.420736Z","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":"2026-08-06T23:21:08.928484Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.00860","last_updated":"2024-04-01T02:01:33Z","snapshot_observed_at":"2026-08-13T00:40:24.356387Z","submitted_at":"2024-04-01T02:01:33Z","title":"Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance","version":1},"cited_work":{"arxiv_id":"2404.00860","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.00860","snapshot_observed_at":"2026-08-06T23:21:08.928484Z","title":"Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance","venue":"cs.LG","work_id":"1784969d-3568-4d8c-91cb-ad626094c5da","year":2024},"citing_paper":{"arxiv_id":"2506.18504","last_updated":"2025-06-30T05:24:22Z","snapshot_observed_at":"2026-08-08T10:23:10.135024Z","submitted_at":"2025-06-23T10:56:37Z","title":"Generalizing vision-language models to novel domains: A comprehensive survey","version":2},"reference_index":140,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:50.420736Z"},"links":{"cited_paper":"/paper/2404.00860","citing_paper":"/paper/2506.18504"},"observation_digest":"sha256:922f12702b5e496bea76a992948e0ad4968e5531526f5a06009f6fc8eb919970","observation_id":"88ec0e73-bd95-431d-a321-6e28259d4147","resolution":{"observed_at":"2026-08-06T23:21:08.984763Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00860","last_updated":"2024-04-01T02:01:33Z","snapshot_observed_at":"2026-08-13T00:40:24.356387Z","submitted_at":"2024-04-01T02:01:33Z","title":"Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00860","snapshot_observed_at":"2026-08-03T02:51:56.097742Z","title":"Oh, C., Lim, H., Kim, M., Han, D., Yun, S., Choo, J., Haupt- mann, A., Cheng, Z.-Q., and Song, K","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.09689","last_updated":"2026-06-18T12:30:19Z","snapshot_observed_at":"2026-08-10T12:44:15.129359Z","submitted_at":"2026-02-10T11:44:19Z","title":"Model soups need only one ingredient","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T02:51:56.097742Z"},"links":{"cited_paper":"/paper/2404.00860","citing_paper":"/paper/2602.09689"},"observation_digest":"sha256:b2c1f8d1c8548b7b99ec4f0b7951e2f5f9dad3af9f078db238aa5f562338f635","observation_id":"78d1a768-8889-455d-806f-1375a0ee2f6e","resolution":{"observed_at":"2026-08-03T02:51:56.097742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00860","last_updated":"2024-04-01T02:01:33Z","snapshot_observed_at":"2026-08-13T00:40:24.356387Z","submitted_at":"2024-04-01T02:01:33Z","title":"Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00860","snapshot_observed_at":"2026-08-01T15:40:22.358689Z","title":"Lipsum-ft: Robust fine-tuning of zero-shot models using random text guidance.arXiv preprint arXiv:2404.00860, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18230","last_updated":"2026-07-20T17:58:13Z","snapshot_observed_at":"2026-08-07T20:38:58.972626Z","submitted_at":"2026-07-20T17:58:13Z","title":"Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T15:40:22.358689Z"},"links":{"cited_paper":"/paper/2404.00860","citing_paper":"/paper/2607.18230"},"observation_digest":"sha256:6f3aa07e553a3210ff55e9b9a130f5aba55041a4c36b3854f91942a83e572724","observation_id":"a7f95b73-4018-405d-a31c-7f99c90a02f0","resolution":{"observed_at":"2026-08-01T15:40:22.358689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.00860/citation-record","integrity":"/paper/2404.00860/integrity","json":"/paper/2404.00860/citation-record.json","paper":"/paper/2404.00860"},"outbound":[],"paper":{"arxiv_id":"2404.00860","last_updated":"2024-04-01T02:01:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T00:40:24.356387Z","submitted_at":"2024-04-01T02:01:33Z","title":"Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.00860."}