{"as_of":"2026-08-09T20:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a2bd104633b78de3a8ac8fec4659579faf27cbfc79caef01be301f22276d6e6d","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":"2026-08-03T08:09:47.460883Z","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":"2026-07-01T19:46:10.716427Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.19707","last_updated":"2024-12-27T16:02:34Z","snapshot_observed_at":"2026-07-06T20:13:45.123960Z","submitted_at":"2024-12-27T16:02:34Z","title":"Toward Adaptive Reasoning in Large Language Models with Thought Rollback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19707","snapshot_observed_at":"2026-08-03T08:09:47.460883Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18146","last_updated":"2026-07-16T10:27:29Z","snapshot_observed_at":"2026-08-06T14:40:38.756042Z","submitted_at":"2026-01-26T05:09:07Z","title":"Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T08:09:47.460883Z"},"links":{"cited_paper":"/paper/2412.19707","citing_paper":"/paper/2601.18146"},"observation_digest":"sha256:f5acf363bf9d38bcac9cc85e445f95b67b6842996e2aaeceaf5565f1c65f74cf","observation_id":"fd7ab10b-fd58-4093-8c79-7aea143b61d8","resolution":{"observed_at":"2026-08-03T08:09:47.460883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19707","last_updated":"2024-12-27T16:02:34Z","snapshot_observed_at":"2026-07-06T20:13:45.123960Z","submitted_at":"2024-12-27T16:02:34Z","title":"Toward Adaptive Reasoning in Large Language Models with Thought Rollback","version":1},"cited_work":{"arxiv_id":"2412.19707","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.19707","snapshot_observed_at":"2026-07-01T19:46:10.716427Z","title":"Toward adaptive reasoning in large language models with thought rollback.arXiv preprint arXiv:2412.19707, 2024","venue":null,"work_id":"8de3010a-2282-45cc-ab41-eb90b5cb7a5a","year":2024},"citing_paper":{"arxiv_id":"2605.31492","last_updated":"2026-05-29T16:13:19Z","snapshot_observed_at":"2026-08-08T08:02:00.116245Z","submitted_at":"2026-05-29T16:13:19Z","title":"LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T22:04:56.620892Z"},"links":{"cited_paper":"/paper/2412.19707","citing_paper":"/paper/2605.31492"},"observation_digest":"sha256:72b644d28ae77d5597f977b0b715beaa76f20a2d212a45827719330b3c80f470","observation_id":"54084f78-0960-4e64-ae7c-7e8fa0fe1b1a","resolution":{"observed_at":"2026-07-01T19:46:10.718320Z","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/2412.19707/citation-record","integrity":"/paper/2412.19707/integrity","json":"/paper/2412.19707/citation-record.json","paper":"/paper/2412.19707"},"outbound":[],"paper":{"arxiv_id":"2412.19707","last_updated":"2024-12-27T16:02:34Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T20:13:45.123960Z","submitted_at":"2024-12-27T16:02:34Z","title":"Toward Adaptive Reasoning in Large Language Models with Thought Rollback"},"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:2412.19707."}