{"as_of":"2026-08-09T07:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d275b41cee09ef4510c5463ee98e2ece6008d457bb456bb995e04bf3c161b9bc","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":"2026-08-08T11:01:28.846203Z","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":"2026-05-25T05:00:21.901676Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.07799","last_updated":"2024-10-23T14:00:40Z","snapshot_observed_at":"2026-07-06T18:44:20.262496Z","submitted_at":"2024-07-10T16:16:02Z","title":"Attribute or Abstain: Large Language Models as Long Document Assistants","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07799","snapshot_observed_at":"2026-08-08T11:01:28.846203Z","title":"Chiang, W.-L., Li, Z., Lin, Z., Sheng, Y ., Wu, Z., Zhang, H., Zheng, L., Zhuang, S., Zhuang, Y ., Gonzalez, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.08059","last_updated":"2025-02-12T01:54:21Z","snapshot_observed_at":"2026-08-09T05:55:53.334374Z","submitted_at":"2025-02-12T01:54:21Z","title":"On Mechanistic Circuits for Extractive Question-Answering","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T11:01:28.846203Z"},"links":{"cited_paper":"/paper/2407.07799","citing_paper":"/paper/2502.08059"},"observation_digest":"sha256:d4694fae7455d67cbcc1491f9e1f6d46a947ce28d369eec552476a41a0770ae0","observation_id":"385ebfff-dbb6-455c-8a60-446965398ae6","resolution":{"observed_at":"2026-08-08T11:01:28.846203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07799","last_updated":"2024-10-23T14:00:40Z","snapshot_observed_at":"2026-07-06T18:44:20.262496Z","submitted_at":"2024-07-10T16:16:02Z","title":"Attribute or Abstain: Large Language Models as Long Document Assistants","version":2},"cited_work":{"arxiv_id":"2407.07799","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.07799","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=","venue":null,"work_id":"cf263300-497d-4e47-bec7-40bb8dade8ba","year":2024},"citing_paper":{"arxiv_id":"2605.23170","last_updated":"2026-05-22T02:42:41Z","snapshot_observed_at":"2026-08-03T03:47:34.013785Z","submitted_at":"2026-05-22T02:42:41Z","title":"Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-25T04:58:15.184063Z"},"links":{"cited_paper":"/paper/2407.07799","citing_paper":"/paper/2605.23170"},"observation_digest":"sha256:83b2f88537e1cc298aaa1103e8cd59d3e3c734b422b263198e931d1f3e8ddce4","observation_id":"05785b22-72b9-4588-9c95-366a1a08c632","resolution":{"observed_at":"2026-05-25T05:00:21.904685Z","resolver_source":"arxiv_id","status":"verified_exact"},"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/2407.07799/citation-record","integrity":"/paper/2407.07799/integrity","json":"/paper/2407.07799/citation-record.json","paper":"/paper/2407.07799"},"outbound":[],"paper":{"arxiv_id":"2407.07799","last_updated":"2024-10-23T14:00:40Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:44:20.262496Z","submitted_at":"2024-07-10T16:16:02Z","title":"Attribute or Abstain: Large Language Models as Long Document Assistants"},"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:2407.07799."}