{"as_of":"2026-08-14T20:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fee158d284e910596ae16148c7b3c29a244bd712b00221a42767c32a01374bf2","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":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":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-14T22:11:30.437422Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T22:13:04.888079Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.03634","last_updated":"2025-06-11T23:50:48Z","snapshot_observed_at":"2026-08-13T04:59:32.785978Z","submitted_at":"2024-10-04T17:41:47Z","title":"Function-Guided Conditional Generation Using Protein Language Models with Adapters","version":2},"cited_work":{"arxiv_id":"2410.03634","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03634","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Function-guided conditional generation using protein language models with adapters","venue":null,"work_id":"1b56574b-495c-4dbd-ad1a-37cff5a0b353","year":2024},"citing_paper":{"arxiv_id":"2605.10978","last_updated":"2026-05-13T05:15:54Z","snapshot_observed_at":"2026-08-12T20:32:55.396829Z","submitted_at":"2026-05-09T02:19:38Z","title":"VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-13T01:08:11.268639Z"},"links":{"cited_paper":"/paper/2410.03634","citing_paper":"/paper/2605.10978"},"observation_digest":"sha256:d44e5d95fad0cc502037bd68039b1b46c689be54c864e38029bb08abe34ef569","observation_id":"cbaee3ff-49ca-495a-ba0a-ac7dfc234a17","resolution":{"observed_at":"2026-05-13T01:52:06.364959Z","resolver_source":"arxiv_id","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":"2410.03634","last_updated":"2025-06-11T23:50:48Z","snapshot_observed_at":"2026-08-13T04:59:32.785978Z","submitted_at":"2024-10-04T17:41:47Z","title":"Function-Guided Conditional Generation Using Protein Language Models with Adapters","version":2},"cited_work":{"arxiv_id":"2410.03634","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03634","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Function-guided conditional generation using protein language models with adapters","venue":null,"work_id":"1b56574b-495c-4dbd-ad1a-37cff5a0b353","year":2024},"citing_paper":{"arxiv_id":"2605.10978","last_updated":"2026-05-13T05:15:54Z","snapshot_observed_at":"2026-08-12T20:32:55.396829Z","submitted_at":"2026-05-09T02:19:38Z","title":"VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-14T22:11:30.437422Z"},"links":{"cited_paper":"/paper/2410.03634","citing_paper":"/paper/2605.10978"},"observation_digest":"sha256:851872a11a545088e0faa9e853edf75947026ae5c131de2d0a0fbb1285abd1dc","observation_id":"33a1834c-243a-479d-afa7-e6ddeaa7490b","resolution":{"observed_at":"2026-05-14T22:13:04.891990Z","resolver_source":"arxiv_id","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/2410.03634/citation-record","integrity":"/paper/2410.03634/integrity","json":"/paper/2410.03634/citation-record.json","paper":"/paper/2410.03634"},"outbound":[],"paper":{"arxiv_id":"2410.03634","last_updated":"2025-06-11T23:50:48Z","latest_version":2,"primary_category":"q-bio.BM","snapshot_observed_at":"2026-08-13T04:59:32.785978Z","submitted_at":"2024-10-04T17:41:47Z","title":"Function-Guided Conditional Generation Using Protein Language Models with Adapters"},"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 2 inbound Pith citation observations for arXiv:2410.03634."}