{"as_of":"2026-08-08T01:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3c495a985bcc2cff199cef29f670367cb7bdb2ed35e3e00623b49ddd71662bdd","coverage":[{"denominator":6,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:00:46.317935Z","state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2505.22926/citation-record","integrity":"/paper/2505.22926/integrity","json":"/paper/2505.22926/citation-record.json","paper":"/paper/2505.22926"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:47.150829Z","title":"Mixmatch: A holistic approach to semi-supervised learning","venue":null,"work_id":"047cb543-4f64-4abf-88b2-a6bb274a7bf2","year":2019},"citing_paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:45.489636Z"},"links":{"citing_paper":"/paper/2505.22926"},"observation_digest":"sha256:6cdf236e15a7242a3e69de78e79f429c93a309f1ceee2d9e7a92a66d285deee6","observation_id":"5b97c766-df10-4727-95ef-7bcefdb53af2","resolution":{"observed_at":"2026-08-07T13:00:47.244312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:46.963322Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":"39fecca5-a7f5-419f-a8d9-e2b6283274b5","year":2020},"citing_paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:45.650495Z"},"links":{"citing_paper":"/paper/2505.22926"},"observation_digest":"sha256:75331e32794d351639da68b53a8c04984fc05d988f2e530afb379d9fb2c87b67","observation_id":"62db7027-b3d1-4568-9580-33934814b967","resolution":{"observed_at":"2026-08-07T13:00:47.043707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:46.744569Z","title":"Diffusemix: Label-preserving data augmentation with diffusion models","venue":null,"work_id":"b9ef73c1-d973-41cf-8b50-c31fadbea411","year":2024},"citing_paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:45.852994Z"},"links":{"citing_paper":"/paper/2505.22926"},"observation_digest":"sha256:8c69a1cf503ddeefe70cd4e369f66ab6e6d9d3c2410d45c8ed0ec187b39a96d5","observation_id":"9fac5ac5-932d-456d-88b2-09e32bbe092f","resolution":{"observed_at":"2026-08-07T13:00:46.860587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:46.521360Z","title":"Effective data augmentation with diffusion models","venue":null,"work_id":"98330e88-d589-43ed-9f58-d83b25072d2a","year":2024},"citing_paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:45.988463Z"},"links":{"citing_paper":"/paper/2505.22926"},"observation_digest":"sha256:1aad0b9931aaaaf59947d1580aee3e507ab02c326184e5453db56e4dbb0a6860","observation_id":"25cde33f-bb7b-4eac-8506-c44ab417525b","resolution":{"observed_at":"2026-08-07T13:00:46.645904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:46.187813Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:46.187813Z"},"links":{"citing_paper":"/paper/2505.22926"},"observation_digest":"sha256:ff065b63b2dace3132fad1d9cb0e621300d2f283dd14b55e003859c504e95c6d","observation_id":"47e1cba7-802c-4b0c-9aaa-5a53a528fd20","resolution":{"observed_at":"2026-08-07T13:00:46.187813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:46.317935Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:00:46.317935Z"},"links":{"citing_paper":"/paper/2505.22926"},"observation_digest":"sha256:168d079fc8ec0507fba85f926330384a9cc2b0cba7d4394812b79928ac5b84a6","observation_id":"61e26145-8366-4ff7-ad37-cc58e5ac3123","resolution":{"observed_at":"2026-08-07T13:00:46.317935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22926","last_updated":"2025-05-28T22:58:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T12:54:58.820690Z","submitted_at":"2025-05-28T22:58:50Z","title":"Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification"},"reference_resolution":{"displayed":6,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":6},"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 8 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2505.22926."}