{"as_of":"2026-08-08T05:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:00d48715c197f077976ff422b115f248fdf188db7ee802c39b8ec6d3c87ecc1e","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T14:15:58.111239Z","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":"2026-06-30T06:04:21.184164Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09199","last_updated":"2024-08-17T13:32:32Z","snapshot_observed_at":"2026-07-06T19:01:54.329469Z","submitted_at":"2024-08-17T13:32:32Z","title":"TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09199","snapshot_observed_at":"2026-08-07T14:15:58.111239Z","title":"Tc-rag: Turing-complete rag’s case study on medical llm systems","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19538","last_updated":"2025-05-26T05:56:23Z","snapshot_observed_at":"2026-08-07T20:34:00.024845Z","submitted_at":"2025-05-26T05:56:23Z","title":"DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:58.111239Z"},"links":{"cited_paper":"/paper/2408.09199","citing_paper":"/paper/2505.19538"},"observation_digest":"sha256:12cccdf10ace03e653fa040aeed75af0a4a61ccf74168def1f7214ab0f3f7d1e","observation_id":"89ac21c3-d5c2-4205-b4b7-a94337ec9f1a","resolution":{"observed_at":"2026-08-07T14:15:58.111239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09199","last_updated":"2024-08-17T13:32:32Z","snapshot_observed_at":"2026-07-06T19:01:54.329469Z","submitted_at":"2024-08-17T13:32:32Z","title":"TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems","version":1},"cited_work":{"arxiv_id":"2408.09199","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09199","snapshot_observed_at":"2026-06-30T06:04:21.184164Z","title":"Jiang, Z.; Xu, F","venue":null,"work_id":"3651f471-4554-4d16-9ee9-8cdc5343e411","year":null},"citing_paper":{"arxiv_id":"2606.29863","last_updated":"2026-06-29T06:56:18Z","snapshot_observed_at":"2026-08-01T03:02:31.074162Z","submitted_at":"2026-06-29T06:56:18Z","title":"KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T06:02:12.866129Z"},"links":{"cited_paper":"/paper/2408.09199","citing_paper":"/paper/2606.29863"},"observation_digest":"sha256:efd4196b4100ffc1c21fd0d8fdfb6295f78e6128c4ed3364d3978bf7afae9c7e","observation_id":"acd82de8-9c6a-4ea6-b2e0-f621eb212f6f","resolution":{"observed_at":"2026-06-30T06:04:21.185840Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09199","last_updated":"2024-08-17T13:32:32Z","snapshot_observed_at":"2026-07-06T19:01:54.329469Z","submitted_at":"2024-08-17T13:32:32Z","title":"TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09199","snapshot_observed_at":"2026-08-01T13:54:22.231534Z","title":"arXiv preprint arXiv:2408.09199 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18979","last_updated":"2026-07-21T11:14:33Z","snapshot_observed_at":"2026-08-06T13:13:54.204332Z","submitted_at":"2026-07-21T11:14:33Z","title":"Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-01T13:54:22.231534Z"},"links":{"cited_paper":"/paper/2408.09199","citing_paper":"/paper/2607.18979"},"observation_digest":"sha256:f9b8eba9924a7969f1175c21c4e1fe27cc8821f441603f253b4b00612a4d5796","observation_id":"5eeba943-c866-4849-b238-86760cdc6c33","resolution":{"observed_at":"2026-08-01T13:54:22.231534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.09199/citation-record","integrity":"/paper/2408.09199/integrity","json":"/paper/2408.09199/citation-record.json","paper":"/paper/2408.09199"},"outbound":[],"paper":{"arxiv_id":"2408.09199","last_updated":"2024-08-17T13:32:32Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T19:01:54.329469Z","submitted_at":"2024-08-17T13:32:32Z","title":"TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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:2408.09199."}