{"as_of":"2026-08-08T16:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c854b0508aaa64f1d93a58c3d792a0aa1d6fa7b8cb33b3b74755ab4739582ac3","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T14:35:19.942739Z","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":"2026-05-21T01:23:54.258497Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.02830","last_updated":"2025-06-02T17:40:21Z","snapshot_observed_at":"2026-08-04T22:16:16.371614Z","submitted_at":"2024-12-03T20:52:35Z","title":"RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.02830","snapshot_observed_at":"2026-08-07T14:35:19.942739Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18405","last_updated":"2025-05-27T04:20:31Z","snapshot_observed_at":"2026-08-07T14:29:45.870059Z","submitted_at":"2025-05-23T22:18:32Z","title":"RaDeR: Reasoning-aware Dense Retrieval Models","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T14:35:19.942739Z"},"links":{"cited_paper":"/paper/2412.02830","citing_paper":"/paper/2505.18405"},"observation_digest":"sha256:7ca5c3c26c341eaa547c325bdb1076cae20b0f031a1384b8caa44ce5c29c1de6","observation_id":"eeb941fc-7a76-4f2a-8164-fd2df33cd703","resolution":{"observed_at":"2026-08-07T14:35:19.942739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02830","last_updated":"2025-06-02T17:40:21Z","snapshot_observed_at":"2026-08-04T22:16:16.371614Z","submitted_at":"2024-12-03T20:52:35Z","title":"RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.02830","snapshot_observed_at":"2026-08-06T01:03:40.207857Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04118","last_updated":"2025-08-06T06:34:22Z","snapshot_observed_at":"2026-08-06T01:03:36.450188Z","submitted_at":"2025-08-06T06:34:22Z","title":"AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T01:03:40.207857Z"},"links":{"cited_paper":"/paper/2412.02830","citing_paper":"/paper/2508.04118"},"observation_digest":"sha256:c3ee0b2d279fa0d355a9055183c7e284c0c0cb92354671412ed96523a30d24f3","observation_id":"0aaddbe6-5627-48bc-bf9f-2600c8fd6470","resolution":{"observed_at":"2026-08-06T01:03:40.207857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02830","last_updated":"2025-06-02T17:40:21Z","snapshot_observed_at":"2026-08-04T22:16:16.371614Z","submitted_at":"2024-12-03T20:52:35Z","title":"RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models","version":4},"cited_work":{"arxiv_id":"2412.02830","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.02830","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv:2412.02830 [cs.CL]","venue":null,"work_id":"8e8383de-240f-4894-a09f-c7859e5944ee","year":null},"citing_paper":{"arxiv_id":"2605.18765","last_updated":"2026-04-11T10:16:51Z","snapshot_observed_at":"2026-08-03T09:36:31.442413Z","submitted_at":"2026-04-11T10:16:51Z","title":"STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T01:23:38.800882Z"},"links":{"cited_paper":"/paper/2412.02830","citing_paper":"/paper/2605.18765"},"observation_digest":"sha256:c6df17ee756c48e9b1f31db5348bdb64a01da75c7302c5eb1e565b470eaccf95","observation_id":"a77a4d99-0d74-4318-9ded-f5e83e9abcf6","resolution":{"observed_at":"2026-05-21T01:23:54.260764Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.02830/citation-record","integrity":"/paper/2412.02830/integrity","json":"/paper/2412.02830/citation-record.json","paper":"/paper/2412.02830"},"outbound":[],"paper":{"arxiv_id":"2412.02830","last_updated":"2025-06-02T17:40:21Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T22:16:16.371614Z","submitted_at":"2024-12-03T20:52:35Z","title":"RARE: Retrieval-Augmented Reasoning Enhancement for 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.02830."}