{"as_of":"2026-08-10T07:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a72d67b2fc0fe97092a44383d4fb7e74c8421dfe4ec473edb6690dcef26eebc0","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":"2026-08-09T10:46:29.428727Z","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":"2026-05-17T23:10:26.154195Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17951","last_updated":"2025-08-05T08:39:31Z","snapshot_observed_at":"2026-07-06T18:21:09.808086Z","submitted_at":"2024-05-28T08:28:18Z","title":"Efficient Time Series Processing for Transformers and State-Space Models through Token Merging","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17951","snapshot_observed_at":"2026-08-09T10:46:29.428727Z","title":"Efficient time series processing for transform- ers and state-space models through token merging","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04363","last_updated":"2025-03-31T07:22:14Z","snapshot_observed_at":"2026-08-09T15:29:40.182272Z","submitted_at":"2025-02-05T05:42:29Z","title":"On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T10:46:29.428727Z"},"links":{"cited_paper":"/paper/2405.17951","citing_paper":"/paper/2502.04363"},"observation_digest":"sha256:7cb6c93d295450eb7d81ba063fe77a8f584abf7453a61060ab38f5d4b2a8b403","observation_id":"a1df505b-b859-420f-929f-e541a7540628","resolution":{"observed_at":"2026-08-09T10:46:29.428727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17951","last_updated":"2025-08-05T08:39:31Z","snapshot_observed_at":"2026-07-06T18:21:09.808086Z","submitted_at":"2024-05-28T08:28:18Z","title":"Efficient Time Series Processing for Transformers and State-Space Models through Token Merging","version":4},"cited_work":{"arxiv_id":"2405.17951","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17951","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient time series processing for transformers and state-space models through token merging.arXiv preprint arXiv:2405.17951","venue":null,"work_id":"3562d7f6-00b0-47c9-bc1e-57447bab1bd3","year":null},"citing_paper":{"arxiv_id":"2511.08947","last_updated":"2026-04-10T02:18:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-12T03:48:05Z","title":"AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-17T23:07:55.891663Z"},"links":{"cited_paper":"/paper/2405.17951","citing_paper":"/paper/2511.08947"},"observation_digest":"sha256:44d3bc89956a231cc0f100a233f6beb5442e934f8b30706582294f551e608cfe","observation_id":"ba3b3518-d0dc-4149-af27-8f1cd65a833b","resolution":{"observed_at":"2026-05-17T23:10:26.156638Z","resolver_source":"arxiv_id","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/2405.17951/citation-record","integrity":"/paper/2405.17951/integrity","json":"/paper/2405.17951/citation-record.json","paper":"/paper/2405.17951"},"outbound":[],"paper":{"arxiv_id":"2405.17951","last_updated":"2025-08-05T08:39:31Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:21:09.808086Z","submitted_at":"2024-05-28T08:28:18Z","title":"Efficient Time Series Processing for Transformers and State-Space Models through Token Merging"},"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:2405.17951."}