{"as_of":"2026-08-07T23:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8d2a601d5b76d491f908d7af48cee7be9c11c66a3b2e4b34f360533d953c7d62","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":"2026-08-07T06:34:17.273281+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":"2026-08-01T05:59:06.527171Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2404.17245","last_updated":"2024-07-05T03:28:16Z","snapshot_observed_at":"2026-07-06T18:05:59.538624Z","submitted_at":"2024-04-26T08:35:46Z","title":"Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17245","snapshot_observed_at":"2026-08-01T05:59:06.527171Z","title":"Param- eter efficient fine-tuning of self-supervised ViTs without catastrophic forgetting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22068","last_updated":"2026-07-24T08:10:53Z","snapshot_observed_at":"2026-08-02T23:45:56.297068Z","submitted_at":"2026-07-24T08:10:53Z","title":"Rethinking Multi-Branch and Cross-Backbone Fusion for Vehicle Re-Identification in the Foundation-Model Era","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T05:59:06.527171Z"},"links":{"cited_paper":"/paper/2404.17245","citing_paper":"/paper/2607.22068"},"observation_digest":"sha256:b919d9c93e2b3f797101da72a297f99c2b413d886fbc9ac61355f747dbaa674e","observation_id":"ebb3b14c-dd65-4a7c-be0c-5ff29fef30ae","resolution":{"observed_at":"2026-08-01T05:59:06.527171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.17245/citation-record","integrity":"/paper/2404.17245/integrity","json":"/paper/2404.17245/citation-record.json","paper":"/paper/2404.17245"},"outbound":[],"paper":{"arxiv_id":"2404.17245","last_updated":"2024-07-05T03:28:16Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:05:59.538624Z","submitted_at":"2024-04-26T08:35:46Z","title":"Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.17245."}