{"as_of":"2026-08-19T17:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c98cd2f2f250bde0b59a1bb2da768ca540a83306e0a7ecbfbd3a022c1e46655","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T21:07:08.223870Z","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":"2026-05-15T05:15:03.354908Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.06692","last_updated":"2024-02-20T15:27:20Z","snapshot_observed_at":"2026-08-17T00:57:06.657808Z","submitted_at":"2023-10-10T15:10:03Z","title":"Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06692","snapshot_observed_at":"2026-08-15T21:07:08.223870Z","title":"thought” represents the reasoning process (CoT), “solution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10937","last_updated":"2025-05-16T07:15:30Z","snapshot_observed_at":"2026-08-17T07:38:55.567225Z","submitted_at":"2025-05-16T07:15:30Z","title":"Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T21:07:08.223870Z"},"links":{"cited_paper":"/paper/2310.06692","citing_paper":"/paper/2505.10937"},"observation_digest":"sha256:e507a2d03d0e25755fb0dd991d594fab563134be2c61258ce778523797e07b34","observation_id":"f8456e88-afd7-4950-9c2a-f7ad7e9a5250","resolution":{"observed_at":"2026-08-15T21:07:08.223870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06692","last_updated":"2024-02-20T15:27:20Z","snapshot_observed_at":"2026-08-17T00:57:06.657808Z","submitted_at":"2023-10-10T15:10:03Z","title":"Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06692","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06692","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generalizable chain-of-thought prompting in mixed-task scenarios with large language models","venue":null,"work_id":"086ca12c-e495-44c9-91e3-8fd091d18a21","year":2023},"citing_paper":{"arxiv_id":"2605.10195","last_updated":"2026-05-14T07:42:56Z","snapshot_observed_at":"2026-08-03T09:42:12.047946Z","submitted_at":"2026-05-11T08:45:17Z","title":"Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-12T03:51:52.375703Z"},"links":{"cited_paper":"/paper/2310.06692","citing_paper":"/paper/2605.10195"},"observation_digest":"sha256:4f6a9bd5583eba8141e2bdce2bf1fcd8809c4a7cb8bec76fc1aa01ac9721f70f","observation_id":"3153879f-28d3-4b44-b276-3b88921a1ab6","resolution":{"observed_at":"2026-05-12T06:51:30.243425Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06692","last_updated":"2024-02-20T15:27:20Z","snapshot_observed_at":"2026-08-17T00:57:06.657808Z","submitted_at":"2023-10-10T15:10:03Z","title":"Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06692","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06692","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generalizable chain-of-thought prompting in mixed-task scenarios with large language models","venue":null,"work_id":"086ca12c-e495-44c9-91e3-8fd091d18a21","year":2023},"citing_paper":{"arxiv_id":"2605.10195","last_updated":"2026-05-14T07:42:56Z","snapshot_observed_at":"2026-08-03T09:42:12.047946Z","submitted_at":"2026-05-11T08:45:17Z","title":"Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-15T05:11:32.053440Z"},"links":{"cited_paper":"/paper/2310.06692","citing_paper":"/paper/2605.10195"},"observation_digest":"sha256:3ffb5e557bd164f7d803193ee5bbd86886609571b70e22d0c68b6ea259c99254","observation_id":"36d467eb-f835-47d1-8cf3-7f4ad0114501","resolution":{"observed_at":"2026-05-15T05:15:03.358354Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.06692/citation-record","integrity":"/paper/2310.06692/integrity","json":"/paper/2310.06692/citation-record.json","paper":"/paper/2310.06692"},"outbound":[],"paper":{"arxiv_id":"2310.06692","last_updated":"2024-02-20T15:27:20Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T00:57:06.657808Z","submitted_at":"2023-10-10T15:10:03Z","title":"Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06692."}