{"as_of":"2026-08-10T09:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d54a01e5037c4da27ed74e7b35b331b70e273365be8bf55db8e63a81a4f85509","coverage":[{"denominator":2,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T17:25:22.733770Z","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":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.26574/citation-record","integrity":"/paper/2605.26574/integrity","json":"/paper/2605.26574/citation-record.json","paper":"/paper/2605.26574"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:25:22.733770Z","title":"InInternational symposium on research in attacks, intrusions, and defenses, pages 273–294","venue":null,"work_id":null,"year":1960},"citing_paper":{"arxiv_id":"2605.26574","last_updated":"2026-05-26T05:48:01Z","snapshot_observed_at":"2026-08-01T16:23:28.656807Z","submitted_at":"2026-05-26T05:48:01Z","title":"GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T17:25:22.733770Z"},"links":{"citing_paper":"/paper/2605.26574"},"observation_digest":"sha256:60cd7af7436e7952fc812f1694baa31dca95f46b35c19befb15d553697fd8bf8","observation_id":"da0320e7-4ab4-4009-9633-c8f526b0823d","resolution":{"observed_at":"2026-06-29T17:25:22.733770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12298","last_updated":"2023-02-21T08:59:22Z","snapshot_observed_at":"2026-07-06T15:19:28.033750Z","submitted_at":"2023-02-21T08:59:22Z","title":"BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT","version":1},"cited_work":{"arxiv_id":"2304.12298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.12298","snapshot_observed_at":"2026-06-29T17:33:45.482173Z","title":"Badgpt: Exploring security vulnerabilities of chatgpt via backdoor attacks to instructgpt","venue":null,"work_id":"efadda86-eded-43b2-987f-3f857a56c6df","year":2023},"citing_paper":{"arxiv_id":"2605.26574","last_updated":"2026-05-26T05:48:01Z","snapshot_observed_at":"2026-08-01T16:23:28.656807Z","submitted_at":"2026-05-26T05:48:01Z","title":"GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T17:25:22.733770Z"},"links":{"cited_paper":"/paper/2304.12298","citing_paper":"/paper/2605.26574"},"observation_digest":"sha256:4ab7f4dfe4bf19902a4c5d16fc0cd9ec848701582fa7daedf59413bad15153d5","observation_id":"a2dc3a4d-c4f1-407e-aa02-bcff82090b77","resolution":{"observed_at":"2026-06-29T17:33:45.483983Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.26574","last_updated":"2026-05-26T05:48:01Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-01T16:23:28.656807Z","submitted_at":"2026-05-26T05:48:01Z","title":"GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning"},"reference_resolution":{"displayed":2,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":2},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2605.26574."}