{"as_of":"2026-08-11T17:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8e8ab408681911082e944723972ba9b4b6f3c983ddb35a35c8c55a7c94d7323b","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:22:11.958325Z","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":"2026-05-19T11:52:16.125231Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.02233","last_updated":"2025-02-23T14:16:52Z","snapshot_observed_at":"2026-07-06T16:14:30.917765Z","submitted_at":"2023-09-05T13:39:38Z","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.02233","snapshot_observed_at":"2026-08-11T05:22:11.958325Z","title":"Augmenting black-box llms with medical textbooks for clinical question answering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17684","last_updated":"2025-03-28T22:53:36Z","snapshot_observed_at":"2026-08-11T05:14:14.345383Z","submitted_at":"2024-12-23T16:10:07Z","title":"COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-11T05:22:11.958325Z"},"links":{"cited_paper":"/paper/2309.02233","citing_paper":"/paper/2412.17684"},"observation_digest":"sha256:a8952069df898291bc887748e5f317a22d21852f4da4aebfec8107484d72b4d3","observation_id":"4504b4b3-4587-4b45-9c15-31685214653f","resolution":{"observed_at":"2026-08-11T05:22:11.958325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02233","last_updated":"2025-02-23T14:16:52Z","snapshot_observed_at":"2026-07-06T16:14:30.917765Z","submitted_at":"2023-09-05T13:39:38Z","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.02233","snapshot_observed_at":"2026-08-10T16:39:33.103957Z","title":"Augmenting black-box llms with medical textbooks for clinical question answering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12956","last_updated":"2025-06-09T04:15:20Z","snapshot_observed_at":"2026-08-10T20:23:13.385674Z","submitted_at":"2025-01-22T15:29:09Z","title":"GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:39:33.103957Z"},"links":{"cited_paper":"/paper/2309.02233","citing_paper":"/paper/2501.12956"},"observation_digest":"sha256:bb0f264c8767e9f9e8d3b080b8454c5b1fdea6175c58a6c3e32cc4ce640234f9","observation_id":"814adf65-71dd-4d0a-b1c4-b592457988cd","resolution":{"observed_at":"2026-08-10T16:39:33.103957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02233","last_updated":"2025-02-23T14:16:52Z","snapshot_observed_at":"2026-07-06T16:14:30.917765Z","submitted_at":"2023-09-05T13:39:38Z","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.02233","snapshot_observed_at":"2026-08-10T15:54:42.727002Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13567","last_updated":"2025-05-28T08:20:05Z","snapshot_observed_at":"2026-08-10T16:02:29.962483Z","submitted_at":"2025-01-23T11:14:21Z","title":"K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor","version":3},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T15:54:42.727002Z"},"links":{"cited_paper":"/paper/2309.02233","citing_paper":"/paper/2501.13567"},"observation_digest":"sha256:3272fcb829a5fd12f39046d2faa6a7242470616faba9f6260f0df827a984ce07","observation_id":"13b0ab83-0d73-4a07-9a24-2f0e5b7d8065","resolution":{"observed_at":"2026-08-10T15:54:42.727002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02233","last_updated":"2025-02-23T14:16:52Z","snapshot_observed_at":"2026-07-06T16:14:30.917765Z","submitted_at":"2023-09-05T13:39:38Z","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","version":4},"cited_work":{"arxiv_id":"2309.02233","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.02233","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Augmenting black-box LLMs with medical textbooks for biomedical question answering","venue":null,"work_id":"5a20c3fa-0e5c-42a8-b7c5-d740128cd273","year":2023},"citing_paper":{"arxiv_id":"2506.04565","last_updated":"2026-05-08T15:50:43Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-05T02:34:43Z","title":"From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems","version":2},"reference_index":187,"source":"pdf_text","source_observed_at":"2026-05-19T11:49:36.574471Z"},"links":{"cited_paper":"/paper/2309.02233","citing_paper":"/paper/2506.04565"},"observation_digest":"sha256:404234cb1862e8dee858935897663f6a9969ff09a64feb9c9b14c15ae519ec87","observation_id":"9a176afc-2f8f-42d0-85d7-089391535398","resolution":{"observed_at":"2026-05-19T11:52:16.127437Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02233","last_updated":"2025-02-23T14:16:52Z","snapshot_observed_at":"2026-07-06T16:14:30.917765Z","submitted_at":"2023-09-05T13:39:38Z","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","version":4},"cited_work":{"arxiv_id":"2309.02233","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.02233","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Augmenting black-box LLMs with medical textbooks for biomedical question answering","venue":null,"work_id":"5a20c3fa-0e5c-42a8-b7c5-d740128cd273","year":2023},"citing_paper":{"arxiv_id":"2604.23801","last_updated":"2026-04-26T16:49:39Z","snapshot_observed_at":"2026-08-11T03:45:12.814606Z","submitted_at":"2026-04-26T16:49:39Z","title":"Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T06:14:04.532308Z"},"links":{"cited_paper":"/paper/2309.02233","citing_paper":"/paper/2604.23801"},"observation_digest":"sha256:595d4f64c5587d04b2e5ac6288103edfee62e895b3f1a153756cdea1a0e43f47","observation_id":"5e38a408-890c-4312-97c0-1818f3530a5b","resolution":{"observed_at":"2026-05-11T21:16:12.799134Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.02233/citation-record","integrity":"/paper/2309.02233/integrity","json":"/paper/2309.02233/citation-record.json","paper":"/paper/2309.02233"},"outbound":[],"paper":{"arxiv_id":"2309.02233","last_updated":"2025-02-23T14:16:52Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T16:14:30.917765Z","submitted_at":"2023-09-05T13:39:38Z","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.02233."}