{"as_of":"2026-08-09T22:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d084cb602c11d756f08a00f126854be81cc8b8f22e09d7cd7bae152b1a4f649","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T05:47:20.987776Z","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":"2026-08-07T05:47:22.262029Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15007","last_updated":"2025-01-25T00:59:12Z","snapshot_observed_at":"2026-08-07T22:22:36.153221Z","submitted_at":"2025-01-25T00:59:12Z","title":"Controllable Protein Sequence Generation with LLM Preference Optimization","version":1},"cited_work":{"arxiv_id":"2501.15007","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15007","snapshot_observed_at":"2026-08-07T05:47:22.262029Z","title":"Controllable Protein Sequence Generation with LLM Preference Optimization","venue":"cs.AI","work_id":"396a9fce-7055-4083-8d44-2fd5735653af","year":2025},"citing_paper":{"arxiv_id":"2506.07035","last_updated":"2025-06-08T07:59:09Z","snapshot_observed_at":"2026-08-09T04:26:33.432873Z","submitted_at":"2025-06-08T07:59:09Z","title":"AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T05:47:20.987776Z"},"links":{"cited_paper":"/paper/2501.15007","citing_paper":"/paper/2506.07035"},"observation_digest":"sha256:3dad4e352b34e8c5d41363108565c99241debc68c4621bebe9fe79711b4966e6","observation_id":"94071797-2ba7-4f93-af11-be65da36226d","resolution":{"observed_at":"2026-08-07T05:47:22.322892Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.15007/citation-record","integrity":"/paper/2501.15007/integrity","json":"/paper/2501.15007/citation-record.json","paper":"/paper/2501.15007"},"outbound":[],"paper":{"arxiv_id":"2501.15007","last_updated":"2025-01-25T00:59:12Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T22:22:36.153221Z","submitted_at":"2025-01-25T00:59:12Z","title":"Controllable Protein Sequence Generation with LLM Preference Optimization"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2501.15007."}