{"as_of":"2026-08-09T10:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fab23cbfc221e330afed2f634d8f73055b68daeb8ae3b512c8b6f8f008dad7d1","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":"2026-08-06T17:29:43.864520Z","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":"2026-08-05T22:12:56.475387Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.13632","last_updated":"2025-07-27T11:47:16Z","snapshot_observed_at":"2026-08-07T19:43:29.609750Z","submitted_at":"2024-06-19T15:28:29Z","title":"DoubleDipper: Improving Long-Context LLMs via Context Recycling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13632","snapshot_observed_at":"2026-08-06T17:29:43.864520Z","title":"Can few-shot work in long- context? recycling the context to generate demonstrations.arXiv preprint arXiv:2406.13632,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.10852","last_updated":"2025-08-02T01:45:01Z","snapshot_observed_at":"2026-08-08T02:45:01.978815Z","submitted_at":"2025-07-14T22:56:58Z","title":"LLMs on Trial: Evaluating Judicial Fairness for Large Language Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:29:43.864520Z"},"links":{"cited_paper":"/paper/2406.13632","citing_paper":"/paper/2507.10852"},"observation_digest":"sha256:a82def8e04c77d38cbe969058a2900171e8a43d76846815675aae359d87fb69b","observation_id":"7e3581eb-d5e5-460f-be2a-2c6c0920e50c","resolution":{"observed_at":"2026-08-06T17:29:43.864520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13632","last_updated":"2025-07-27T11:47:16Z","snapshot_observed_at":"2026-08-07T19:43:29.609750Z","submitted_at":"2024-06-19T15:28:29Z","title":"DoubleDipper: Improving Long-Context LLMs via Context Recycling","version":4},"cited_work":{"arxiv_id":"2406.13632","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.13632","snapshot_observed_at":"2026-08-05T22:12:56.475387Z","title":"DoubleDipper: Improving Long-Context LLMs via Context Recycling","venue":"cs.CL","work_id":"f24a5558-9722-4e4f-b661-fe4fe1f92698","year":2024},"citing_paper":{"arxiv_id":"2508.07479","last_updated":"2025-08-10T20:40:24Z","snapshot_observed_at":"2026-08-07T00:34:30.717760Z","submitted_at":"2025-08-10T20:40:24Z","title":"Positional Biases Shift as Inputs Approach Context Window Limits","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:12:56.185747Z"},"links":{"cited_paper":"/paper/2406.13632","citing_paper":"/paper/2508.07479"},"observation_digest":"sha256:085f0317dbada15dfbe2f0983165089e24c39eb10863efecaf8ab64c96369afa","observation_id":"ce107ce2-e191-4424-8f7f-0a726f76ccb1","resolution":{"observed_at":"2026-08-05T22:12:56.480793Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2406.13632/citation-record","integrity":"/paper/2406.13632/integrity","json":"/paper/2406.13632/citation-record.json","paper":"/paper/2406.13632"},"outbound":[],"paper":{"arxiv_id":"2406.13632","last_updated":"2025-07-27T11:47:16Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T19:43:29.609750Z","submitted_at":"2024-06-19T15:28:29Z","title":"DoubleDipper: Improving Long-Context LLMs via Context Recycling"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.13632."}