{"as_of":"2026-08-09T20:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bd090307e1c8a3eff1cc88f0e2d4fda3a08dbc295d657fc2ef4bbcdd7e1a980d","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T03:57:47.560737Z","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":"2026-06-30T17:34:57.458747Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.16913","last_updated":"2025-04-23T17:39:49Z","snapshot_observed_at":"2026-08-07T15:59:47.170595Z","submitted_at":"2025-04-23T17:39:49Z","title":"Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text","version":1},"cited_work":{"arxiv_id":"2504.16913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.16913","snapshot_observed_at":"2026-06-30T17:34:57.458747Z","title":"Tracing thought: Using chain-of-thought reasoning to identify the llm behind ai-generated text","venue":null,"work_id":"15631b1e-c852-4a5c-87bd-54163f935a22","year":2025},"citing_paper":{"arxiv_id":"2605.20761","last_updated":"2026-05-25T09:02:56Z","snapshot_observed_at":"2026-07-06T23:31:18.520630Z","submitted_at":"2026-05-20T06:01:17Z","title":"Findings of the Counter Turing Test: AI-Generated Text Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T05:27:40.931842Z"},"links":{"cited_paper":"/paper/2504.16913","citing_paper":"/paper/2605.20761"},"observation_digest":"sha256:a66f3c40e38cde09894977a08c7c0845a902f1ef4f4c9244953210a4f7791533","observation_id":"15470aa2-24b4-4a2e-9524-e121ee691001","resolution":{"observed_at":"2026-05-21T05:29:39.553779Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2504.16913","last_updated":"2025-04-23T17:39:49Z","snapshot_observed_at":"2026-08-07T15:59:47.170595Z","submitted_at":"2025-04-23T17:39:49Z","title":"Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text","version":1},"cited_work":{"arxiv_id":"2504.16913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.16913","snapshot_observed_at":"2026-06-30T17:34:57.458747Z","title":"Tracing thought: Using chain-of-thought reasoning to identify the llm behind ai-generated text","venue":null,"work_id":"15631b1e-c852-4a5c-87bd-54163f935a22","year":2025},"citing_paper":{"arxiv_id":"2605.20761","last_updated":"2026-05-25T09:02:56Z","snapshot_observed_at":"2026-07-06T23:31:18.520630Z","submitted_at":"2026-05-20T06:01:17Z","title":"Findings of the Counter Turing Test: AI-Generated Text Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T17:32:43.664618Z"},"links":{"cited_paper":"/paper/2504.16913","citing_paper":"/paper/2605.20761"},"observation_digest":"sha256:a3d14ad0194b165813ac633e279799e1f9035378952e7af827c6eea1049b3e39","observation_id":"3ecfb480-a387-47c8-9188-62c1c979feda","resolution":{"observed_at":"2026-06-30T17:34:57.461434Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2504.16913","last_updated":"2025-04-23T17:39:49Z","snapshot_observed_at":"2026-08-07T15:59:47.170595Z","submitted_at":"2025-04-23T17:39:49Z","title":"Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.16913","snapshot_observed_at":"2026-07-12T03:57:47.560737Z","title":"OSINT at CT2 — AI-generated text detection: Tracing thought: Using chain-of-thought reasoning to identify the LLM behind AI-generated text,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03233","last_updated":"2026-07-03T11:42:29Z","snapshot_observed_at":"2026-07-12T03:57:46.765970Z","submitted_at":"2026-07-03T11:42:29Z","title":"Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T03:57:47.560737Z"},"links":{"cited_paper":"/paper/2504.16913","citing_paper":"/paper/2607.03233"},"observation_digest":"sha256:0a6428cb324900fc03e12ec2ca0f250d5b6447bbb7ed5530095e69062fbd459f","observation_id":"b2204b74-fc56-440f-a4fd-ab19a6b8086c","resolution":{"observed_at":"2026-07-12T03:57:47.560737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.16913/citation-record","integrity":"/paper/2504.16913/integrity","json":"/paper/2504.16913/citation-record.json","paper":"/paper/2504.16913"},"outbound":[],"paper":{"arxiv_id":"2504.16913","last_updated":"2025-04-23T17:39:49Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:59:47.170595Z","submitted_at":"2025-04-23T17:39:49Z","title":"Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text"},"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 3 inbound Pith citation observations for arXiv:2504.16913."}