{"as_of":"2026-08-14T19:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d49ff74e5a3daee8c545c253723d6a92acfc5ff0d8d4808fcd22ae07cfa22ae8","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:01:04.639922Z","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":"2026-08-06T23:01:05.229969Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.02716","last_updated":"2025-01-07T23:12:33Z","snapshot_observed_at":"2026-08-14T00:23:40.734880Z","submitted_at":"2024-07-02T23:48:43Z","title":"Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models","version":2},"cited_work":{"arxiv_id":"2407.02716","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.02716","snapshot_observed_at":"2026-08-06T23:01:05.229969Z","title":"Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models","venue":"cs.CV","work_id":"3c7b6e98-c0b3-4f68-a443-0a14eb44b477","year":2024},"citing_paper":{"arxiv_id":"2507.00052","last_updated":"2025-06-25T02:56:38Z","snapshot_observed_at":"2026-08-14T00:51:43.704519Z","submitted_at":"2025-06-25T02:56:38Z","title":"VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:01:04.639922Z"},"links":{"cited_paper":"/paper/2407.02716","citing_paper":"/paper/2507.00052"},"observation_digest":"sha256:1a5c00328315646fedd9b8fca5c7115a788850252b3c9af5569b66eba5e36188","observation_id":"8a59312e-c4cb-410d-aaad-75157703ee44","resolution":{"observed_at":"2026-08-06T23:01:05.233185Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2407.02716/citation-record","integrity":"/paper/2407.02716/integrity","json":"/paper/2407.02716/citation-record.json","paper":"/paper/2407.02716"},"outbound":[],"paper":{"arxiv_id":"2407.02716","last_updated":"2025-01-07T23:12:33Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T00:23:40.734880Z","submitted_at":"2024-07-02T23:48:43Z","title":"Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models"},"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 1 inbound Pith citation observation for arXiv:2407.02716."}