{"as_of":"2026-08-10T16:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a7dd9bedf445058d56f674b7d1d77e71692c2de78a10b52c8ff3546d1f80c3c","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":"2026-08-09T12:07:23.972727Z","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":"2026-05-10T22:15:48.277719Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.01383","last_updated":"2024-10-02T09:51:42Z","snapshot_observed_at":"2026-07-06T19:25:48.444990Z","submitted_at":"2024-10-02T09:51:42Z","title":"PairDistill: Pairwise Relevance Distillation for Dense Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01383","snapshot_observed_at":"2026-08-09T12:07:23.972727Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02464","last_updated":"2025-02-19T22:46:25Z","snapshot_observed_at":"2026-08-09T18:22:35.162611Z","submitted_at":"2025-02-04T16:33:25Z","title":"Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T12:07:23.972727Z"},"links":{"cited_paper":"/paper/2410.01383","citing_paper":"/paper/2502.02464"},"observation_digest":"sha256:ba2785de28860715e7b97c2c5d942c3ceb2786df84dcb482231285f8c97ceb1e","observation_id":"848da074-ef98-433f-954e-9704ebe17f88","resolution":{"observed_at":"2026-08-09T12:07:23.972727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01383","last_updated":"2024-10-02T09:51:42Z","snapshot_observed_at":"2026-07-06T19:25:48.444990Z","submitted_at":"2024-10-02T09:51:42Z","title":"PairDistill: Pairwise Relevance Distillation for Dense Retrieval","version":1},"cited_work":{"arxiv_id":"2410.01383","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01383","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8269b22a-df2f-47eb-8784-57890b87b6f0","year":2024},"citing_paper":{"arxiv_id":"2604.04734","last_updated":"2026-04-28T06:44:06Z","snapshot_observed_at":"2026-07-06T22:53:37.357996Z","submitted_at":"2026-04-06T15:02:35Z","title":"Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T20:07:39.225282Z"},"links":{"cited_paper":"/paper/2410.01383","citing_paper":"/paper/2604.04734"},"observation_digest":"sha256:345dfdbb8293970fb8d5005a6521300185bf941092981b0f7f5a933b54c5b77b","observation_id":"072b5935-a85e-4c71-b5ca-0221a3ba4f66","resolution":{"observed_at":"2026-05-10T22:15:48.280292Z","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/2410.01383/citation-record","integrity":"/paper/2410.01383/integrity","json":"/paper/2410.01383/citation-record.json","paper":"/paper/2410.01383"},"outbound":[],"paper":{"arxiv_id":"2410.01383","last_updated":"2024-10-02T09:51:42Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T19:25:48.444990Z","submitted_at":"2024-10-02T09:51:42Z","title":"PairDistill: Pairwise Relevance Distillation for Dense Retrieval"},"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:2410.01383."}