{"as_of":"2026-08-07T22:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:89f09fc60baba872138e0297f92a892e03874571e81a2231c6f0c5da2e357b3c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T20:20:51.639634Z","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":"2026-05-13T03:57:13.024430Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.19513","last_updated":"2023-10-30T13:12:41Z","snapshot_observed_at":"2026-07-06T16:40:28.142296Z","submitted_at":"2023-10-30T13:12:41Z","title":"Inverse folding for antibody sequence design using deep learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19513","snapshot_observed_at":"2026-08-04T20:20:51.639634Z","title":"Inverse folding for antibody sequence design using deep learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08707","last_updated":"2025-09-10T15:56:19Z","snapshot_observed_at":"2026-08-04T20:20:44.480842Z","submitted_at":"2025-09-10T15:56:19Z","title":"Tokenizing Loops of Antibodies","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T20:20:51.639634Z"},"links":{"cited_paper":"/paper/2310.19513","citing_paper":"/paper/2509.08707"},"observation_digest":"sha256:1d52ac9bd525012bbb79331ddcc1817152136209132c0c730a139327a8c4a706","observation_id":"482b0a82-2309-4a44-9749-4b16e6fbaa71","resolution":{"observed_at":"2026-08-04T20:20:51.639634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19513","last_updated":"2023-10-30T13:12:41Z","snapshot_observed_at":"2026-07-06T16:40:28.142296Z","submitted_at":"2023-10-30T13:12:41Z","title":"Inverse folding for antibody sequence design using deep learning","version":1},"cited_work":{"arxiv_id":"2310.19513","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.19513","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ebf02265-1ba3-4ac5-bc0f-d0c65543e01e","year":2023},"citing_paper":{"arxiv_id":"2605.11189","last_updated":"2026-05-11T19:53:18Z","snapshot_observed_at":"2026-07-30T14:40:53.224732Z","submitted_at":"2026-05-11T19:53:18Z","title":"Deep Learning for Protein Complex Prediction and Design","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T03:56:40.769553Z"},"links":{"cited_paper":"/paper/2310.19513","citing_paper":"/paper/2605.11189"},"observation_digest":"sha256:ec368544de463ad15823ef2cf2677995fc5416c3f7de4accb41178a30b6aa487","observation_id":"81fe8652-4b61-43b7-ba85-6a0e3aadc75c","resolution":{"observed_at":"2026-05-13T03:57:13.027435Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19513","last_updated":"2023-10-30T13:12:41Z","snapshot_observed_at":"2026-07-06T16:40:28.142296Z","submitted_at":"2023-10-30T13:12:41Z","title":"Inverse folding for antibody sequence design using deep learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19513","snapshot_observed_at":"2026-08-01T10:59:13.656475Z","title":"Inverse folding for antibody sequence design using deep learning.arXiv preprint arXiv:2310.19513, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20057","last_updated":"2026-07-22T11:59:38Z","snapshot_observed_at":"2026-08-05T01:59:04.033220Z","submitted_at":"2026-07-22T11:59:38Z","title":"Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:13.656475Z"},"links":{"cited_paper":"/paper/2310.19513","citing_paper":"/paper/2607.20057"},"observation_digest":"sha256:270330f7244c213a9942b46822e9354019ea415e0f65df4696bdcf8ad4c2a030","observation_id":"9ed1b5eb-17bb-4749-87d4-ae29de8c716b","resolution":{"observed_at":"2026-08-01T10:59:13.656475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.19513/citation-record","integrity":"/paper/2310.19513/integrity","json":"/paper/2310.19513/citation-record.json","paper":"/paper/2310.19513"},"outbound":[],"paper":{"arxiv_id":"2310.19513","last_updated":"2023-10-30T13:12:41Z","latest_version":1,"primary_category":"q-bio.BM","snapshot_observed_at":"2026-07-06T16:40:28.142296Z","submitted_at":"2023-10-30T13:12:41Z","title":"Inverse folding for antibody sequence design using deep learning"},"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 3 inbound Pith citation observations for arXiv:2310.19513."}