{"as_of":"2026-08-10T07:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:88ed89a143c1e2e42334a56a9163e7908306f2748f27c90b8b0bfbec5bf08ad5","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T12:12:15.110115Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T19:52:02.774582Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.14814","last_updated":"2024-07-20T09:14:05Z","snapshot_observed_at":"2026-08-04T11:25:52.614763Z","submitted_at":"2024-07-20T09:14:05Z","title":"FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.14814","snapshot_observed_at":"2026-08-07T12:12:15.110115Z","title":"Fmamba: Mamba based on fast-attention for multivariate time-series forecasting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00432","last_updated":"2025-05-31T07:24:24Z","snapshot_observed_at":"2026-08-09T00:10:07.318470Z","submitted_at":"2025-05-31T07:24:24Z","title":"Channel Normalization for Time Series Channel Identification","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:12:15.110115Z"},"links":{"cited_paper":"/paper/2407.14814","citing_paper":"/paper/2506.00432"},"observation_digest":"sha256:125798c06dc1fb3a55cbddecb438076bdd4999b3d44cd82e2327739fe1dbe5e9","observation_id":"25875379-3076-43ba-9f83-7ab5ee3d8ef5","resolution":{"observed_at":"2026-08-07T12:12:15.110115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14814","last_updated":"2024-07-20T09:14:05Z","snapshot_observed_at":"2026-08-04T11:25:52.614763Z","submitted_at":"2024-07-20T09:14:05Z","title":"FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting","version":1},"cited_work":{"arxiv_id":"2407.14814","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.14814","snapshot_observed_at":"2026-08-06T19:52:02.774582Z","title":"FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting","venue":"cs.LG","work_id":"abf3f7d6-c7df-4a29-9d63-304aeb9401ae","year":2024},"citing_paper":{"arxiv_id":"2507.04381","last_updated":"2025-07-06T12:58:52Z","snapshot_observed_at":"2026-08-09T20:36:59.289626Z","submitted_at":"2025-07-06T12:58:52Z","title":"DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:52:02.679318Z"},"links":{"cited_paper":"/paper/2407.14814","citing_paper":"/paper/2507.04381"},"observation_digest":"sha256:c1e937d509897ed54508ab29d8769fea59575f5d5a27a37fd08a4741b9e2b13d","observation_id":"d23a85f6-670b-42ab-a84a-2ab8b08f5dde","resolution":{"observed_at":"2026-08-06T19:52:02.779495Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.14814/citation-record","integrity":"/paper/2407.14814/integrity","json":"/paper/2407.14814/citation-record.json","paper":"/paper/2407.14814"},"outbound":[],"paper":{"arxiv_id":"2407.14814","last_updated":"2024-07-20T09:14:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T11:25:52.614763Z","submitted_at":"2024-07-20T09:14:05Z","title":"FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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:2407.14814."}