{"as_of":"2026-08-10T04:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4d1b805b340e5f4c4de8d42cd530e604dc3b52413774f23971f9bb4a344df1d","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":"2026-08-09T06:31:02.800959+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":"2026-08-09T10:16:49.133147Z","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":"2026-07-02T08:16:47.432241Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.10812","last_updated":"2024-06-02T17:50:46Z","snapshot_observed_at":"2026-07-06T18:15:50.255628Z","submitted_at":"2024-05-13T20:15:03Z","title":"VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10812","snapshot_observed_at":"2026-08-09T10:16:49.133147Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03499","last_updated":"2025-02-05T09:20:52Z","snapshot_observed_at":"2026-08-10T04:49:34.356742Z","submitted_at":"2025-02-05T09:20:52Z","title":"Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-09T10:16:49.133147Z"},"links":{"cited_paper":"/paper/2405.10812","citing_paper":"/paper/2502.03499"},"observation_digest":"sha256:c5ecd202973cf3c283e14c0c9b5d10ce693e1b10c7969c98bc8b452a8327b84a","observation_id":"5ef8483d-79bd-49f6-85bb-d3239a6afda2","resolution":{"observed_at":"2026-08-09T10:16:49.133147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10812","last_updated":"2024-06-02T17:50:46Z","snapshot_observed_at":"2026-07-06T18:15:50.255628Z","submitted_at":"2024-05-13T20:15:03Z","title":"VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling","version":2},"cited_work":{"arxiv_id":"2405.10812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.10812","snapshot_observed_at":"2026-07-02T08:16:47.432241Z","title":null,"venue":null,"work_id":"0f80bb87-99d0-4cb1-9183-332b0e307425","year":null},"citing_paper":{"arxiv_id":"2606.04552","last_updated":"2026-08-04T19:23:40Z","snapshot_observed_at":"2026-08-09T18:20:54.257903Z","submitted_at":"2026-06-03T07:38:17Z","title":"LDARNet: DNA Adaptive Representation Network with Learnable Tokenization for Genomic Modeling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T06:17:32.321128Z"},"links":{"cited_paper":"/paper/2405.10812","citing_paper":"/paper/2606.04552"},"observation_digest":"sha256:463095aa8e38478307c85247c0d21ae28051dc9c98ebc28be8d435d2afa6af53","observation_id":"53570e9d-b06d-4864-831c-e5e94ca2ffcd","resolution":{"observed_at":"2026-07-02T08:16:47.433830Z","resolver_source":"arxiv_id","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/2405.10812/citation-record","integrity":"/paper/2405.10812/integrity","json":"/paper/2405.10812/citation-record.json","paper":"/paper/2405.10812"},"outbound":[],"paper":{"arxiv_id":"2405.10812","last_updated":"2024-06-02T17:50:46Z","latest_version":2,"primary_category":"q-bio.GN","snapshot_observed_at":"2026-07-06T18:15:50.255628Z","submitted_at":"2024-05-13T20:15:03Z","title":"VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.10812."}