Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.02233.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:37:16.254536Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T11:52:16.125231Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 828b3f11-5194-4a57-8126-059e5473fb47 · inbound
Efficient Learning Content Retrieval with Knowledge Injection cites this paper.
Efficient Learning Content Retrieval with Knowledge Injection Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:37:16.254536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 875f30ee-33a8-46da-8e72-fd6c09e09ef4 · inbound
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models cites this paper.
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:08:16.274885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4504b4b3-4587-4b45-9c15-31685214653f · inbound
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation cites this paper.
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:22:11.958325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 814adf65-71dd-4d0a-b1c4-b592457988cd · inbound
GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models cites this paper.
GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:39:33.103957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13b0ab83-0d73-4a07-9a24-2f0e5b7d8065 · inbound
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor cites this paper.
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:54:42.727002Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a176afc-2f8f-42d0-85d7-089391535398 · inbound
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 187
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:52:16.127437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e38a408-890c-4312-97c0-1818f3530a5b · inbound
Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale cites this paper.
Domain Fine-Tuning vs. Retrieval-Augmented Generation for Medical Multiple-Choice Question Answering: A Controlled Comparison at the 4B-Parameter Scale Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:16:12.799134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.