{"as_of":"2026-08-09T00:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dde5e333531e8ad8dc0e83d5debd8ee8208d299f4f71278fc6cf27faa15b54a6","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T20:29:43.700229Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.06253","last_updated":"2021-09-13T18:40:53Z","snapshot_observed_at":"2026-08-02T09:49:20.903716Z","submitted_at":"2021-09-13T18:40:53Z","title":"Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.06253","snapshot_observed_at":"2026-07-11T20:29:43.700229Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04270","last_updated":"2026-07-05T12:31:11Z","snapshot_observed_at":"2026-08-06T07:59:33.038923Z","submitted_at":"2026-07-05T12:31:11Z","title":"LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-11T20:29:43.700229Z"},"links":{"cited_paper":"/paper/2109.06253","citing_paper":"/paper/2607.04270"},"observation_digest":"sha256:f4bfabb0d1fa9ed3ab016ada82cff8a6b2f1b742dd788407d2c6a576f2a3ebba","observation_id":"3dadfd88-153b-481e-bdae-0ba93a5058db","resolution":{"observed_at":"2026-07-11T20:29:43.700229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2109.06253/citation-record","integrity":"/paper/2109.06253/integrity","json":"/paper/2109.06253/citation-record.json","paper":"/paper/2109.06253"},"outbound":[],"paper":{"arxiv_id":"2109.06253","last_updated":"2021-09-13T18:40:53Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T09:49:20.903716Z","submitted_at":"2021-09-13T18:40:53Z","title":"Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2109.06253."}