{"as_of":"2026-08-07T12:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8cd46ec99a4b1f1a83e64ac43e1c496dea87043dcfb3a809885983dae851a3a","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T05:29:53.628923Z","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":"2026-05-10T12:30:23.767421Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.10434","last_updated":"2024-02-16T03:51:14Z","snapshot_observed_at":"2026-07-31T11:28:14.307729Z","submitted_at":"2024-02-16T03:51:14Z","title":"Parametric Augmentation for Time Series Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10434","snapshot_observed_at":"2026-08-05T05:29:53.628923Z","title":"Parametric augmentation for time series contrastive learning.arXiv preprint arXiv:2402.10434, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05478","last_updated":"2025-09-05T20:10:09Z","snapshot_observed_at":"2026-08-05T05:29:52.286297Z","submitted_at":"2025-09-05T20:10:09Z","title":"PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T05:29:53.628923Z"},"links":{"cited_paper":"/paper/2402.10434","citing_paper":"/paper/2509.05478"},"observation_digest":"sha256:674e55ac8c1e317aa5361cc960c9ffd1fe0fca38f53397079fb1ac420e26e45c","observation_id":"93e36ed9-7deb-4853-b979-4f850d6f00e2","resolution":{"observed_at":"2026-08-05T05:29:53.628923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10434","last_updated":"2024-02-16T03:51:14Z","snapshot_observed_at":"2026-07-31T11:28:14.307729Z","submitted_at":"2024-02-16T03:51:14Z","title":"Parametric Augmentation for Time Series Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2402.10434","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10434","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parametric augmentation for time series contrastive learning","venue":null,"work_id":"7d067da5-40eb-4d66-b569-c6061fa7cb78","year":2024},"citing_paper":{"arxiv_id":"2604.14532","last_updated":"2026-04-16T01:52:13Z","snapshot_observed_at":"2026-07-06T23:02:18.425249Z","submitted_at":"2026-04-16T01:52:13Z","title":"CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T12:26:56.844254Z"},"links":{"cited_paper":"/paper/2402.10434","citing_paper":"/paper/2604.14532"},"observation_digest":"sha256:36b4c010c9541b2b25472845c61c6984d393f0a83fdd8dddc2e1cb3a86e13d73","observation_id":"7cb3167c-f44f-49fb-aa12-ab5c406e26b8","resolution":{"observed_at":"2026-05-10T12:30:23.769361Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2402.10434/citation-record","integrity":"/paper/2402.10434/integrity","json":"/paper/2402.10434/citation-record.json","paper":"/paper/2402.10434"},"outbound":[],"paper":{"arxiv_id":"2402.10434","last_updated":"2024-02-16T03:51:14Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-31T11:28:14.307729Z","submitted_at":"2024-02-16T03:51:14Z","title":"Parametric Augmentation for Time Series Contrastive 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 2 inbound Pith citation observations for arXiv:2402.10434."}