{"as_of":"2026-08-07T09:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c6092afb6ae481264a18acbf9e3a84208038cb2f19bc16d24f53eb5df0d3e971","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T17:02:40.504185Z","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":"2026-05-10T10:49:56.370478Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.11792","last_updated":"2023-10-15T12:54:48Z","snapshot_observed_at":"2026-07-06T15:29:47.124222Z","submitted_at":"2023-05-19T16:27:43Z","title":"Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11792","snapshot_observed_at":"2026-08-05T17:02:40.504185Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.17202","last_updated":"2025-08-29T17:46:43Z","snapshot_observed_at":"2026-08-05T17:02:22.140745Z","submitted_at":"2025-08-24T03:34:40Z","title":"Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T17:02:40.504185Z"},"links":{"cited_paper":"/paper/2305.11792","citing_paper":"/paper/2508.17202"},"observation_digest":"sha256:359c7a29db05e60d17aec66a91209bf6f5342e7550f5eee933f3c1bf323ad736","observation_id":"27b5e9d4-e7c5-4159-822c-cb43a8b3eb8d","resolution":{"observed_at":"2026-08-05T17:02:40.504185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11792","last_updated":"2023-10-15T12:54:48Z","snapshot_observed_at":"2026-07-06T15:29:47.124222Z","submitted_at":"2023-05-19T16:27:43Z","title":"Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs","version":2},"cited_work":{"arxiv_id":"2305.11792","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.11792","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"biorxiv, 2024.URL https://www","venue":null,"work_id":"a0f41904-c787-46d7-901b-caafae6df8e5","year":2024},"citing_paper":{"arxiv_id":"2604.15588","last_updated":"2026-04-16T23:46:22Z","snapshot_observed_at":"2026-08-06T09:06:40.423828Z","submitted_at":"2026-04-16T23:46:22Z","title":"\"Excuse me, may I say something...\" CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T10:46:19.917627Z"},"links":{"cited_paper":"/paper/2305.11792","citing_paper":"/paper/2604.15588"},"observation_digest":"sha256:b3623dc4821e5924eb7a1046e965e8e8ffcc9a51d942f50b141ac0c220706c4d","observation_id":"74e7a3bf-5f0c-4eab-91f5-56f344b985e9","resolution":{"observed_at":"2026-05-10T10:49:56.372909Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.11792/citation-record","integrity":"/paper/2305.11792/integrity","json":"/paper/2305.11792/citation-record.json","paper":"/paper/2305.11792"},"outbound":[],"paper":{"arxiv_id":"2305.11792","last_updated":"2023-10-15T12:54:48Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:29:47.124222Z","submitted_at":"2023-05-19T16:27:43Z","title":"Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.11792."}