{"as_of":"2026-08-09T16:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:88dd973c89e4a5590a4f3824a6b372f51a1e4fd2f4bca0603d9caeccf0582e92","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":"2026-08-06T14:36:19.709080Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.18460","last_updated":"2024-06-26T16:10:53Z","snapshot_observed_at":"2026-07-06T18:37:26.588451Z","submitted_at":"2024-06-26T16:10:53Z","title":"Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18460","snapshot_observed_at":"2026-08-06T14:36:19.709080Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19549","last_updated":"2025-07-24T17:59:30Z","snapshot_observed_at":"2026-08-06T20:06:57.630246Z","submitted_at":"2025-07-24T17:59:30Z","title":"AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T14:36:19.709080Z"},"links":{"cited_paper":"/paper/2406.18460","citing_paper":"/paper/2507.19549"},"observation_digest":"sha256:05a56c459fcaa910234201c2e589cad11f062a4bd080f55ca9783997579eb06f","observation_id":"5c456af6-a065-492b-ab8f-731e574578ad","resolution":{"observed_at":"2026-08-06T14:36:19.709080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18460","last_updated":"2024-06-26T16:10:53Z","snapshot_observed_at":"2026-07-06T18:37:26.588451Z","submitted_at":"2024-06-26T16:10:53Z","title":"Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation","version":1},"cited_work":{"arxiv_id":"2406.18460","doi":"10.48550/arxiv.2406.18460","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18460","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"29d6477b-1c03-4974-bc82-63fe90b4ceea","year":null},"citing_paper":{"arxiv_id":"2606.28526","last_updated":"2026-06-26T18:21:58Z","snapshot_observed_at":"2026-08-08T05:13:00.009310Z","submitted_at":"2026-06-26T18:21:58Z","title":"A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-06-30T01:29:19.877774Z"},"links":{"cited_paper":"/paper/2406.18460","citing_paper":"/paper/2606.28526"},"observation_digest":"sha256:22255fca4e706ce43b234710c148bd0f6cd94a5406a7f7b1e3cf06f62e469577","observation_id":"2fa3ace7-08df-4848-b52c-39b6cee7a844","resolution":{"observed_at":"2026-06-30T01:34:09.619572Z","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/2406.18460/citation-record","integrity":"/paper/2406.18460/integrity","json":"/paper/2406.18460/citation-record.json","paper":"/paper/2406.18460"},"outbound":[],"paper":{"arxiv_id":"2406.18460","last_updated":"2024-06-26T16:10:53Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:37:26.588451Z","submitted_at":"2024-06-26T16:10:53Z","title":"Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation"},"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:2406.18460."}