Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:54:48.706934Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.13551.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:54:48.706934Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e3370a26-6eff-4ef6-8c40-570eb711c6fd · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition,
Reference 1
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Observation d5c415af-5ac5-4d8e-942f-0b9d2e6c97e0 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B BioASQ-QA: A manually curated corpus for biomedical question answering,
Reference 2
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Observation 5f61b886-00fc-4aaa-9d3c-3b1a6e1d32c8 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Retrieval-augmented generation for knowledge-intensive NLP tasks,
Reference 3
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Observation 13c0128a-489c-4901-93cb-7788fb8ea9ed · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Leveraging passage retrieval with generative models for open domain question answering,
Reference 4
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Observation 8b8dd439-7dfa-4c35-91b9-a19d1e7a2a7c · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Overview of BioASQ 2024: The Twelfth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answer- ing,
Reference 5
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Observation fa102bfa-89e7-42ef-ad6e-2abcb6a60f2a · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Overview of BioASQ Tasks 13b and Syn- ergy13 in CLEF 2025,
Reference 6
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Observation 3affb7e2-73f9-4909-acab-c85b50e77de8 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Overview of BioASQ 2026: The fourteenth BioASQ challenge on large-scale biomedical semantic indexing and question answering,
Reference 7
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Observation 3d4cff5d-72d4-4f53-867a-b22bee2320a2 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Overview of BioASQ Tasks 14b and Syn- ergy14 in CLEF 2026,
Reference 8
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Observation 5bb101e5-dc6b-41f0-859c-a3181cc34907 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B PubMedQA: A dataset for biomedical research question answering,
Reference 9
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Observation 6c613968-f079-4888-a7df-6dfc4fd30f15 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B What disease does this patient have? A large-scale open domain question answering dataset from medical exams,
Reference 10
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Observation debf884e-2c43-497c-a6fb-218d713e6227 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B ROUGE: A package for automatic evaluation of summaries,
Reference 11
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Observation 4a270b1e-b806-4426-8413-659b30f2387b · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B BioBERT: A pre-trained biomedical language representation model for biomedical text mining,
Reference 12
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Observation b66a99d1-f55a-4ad7-85c0-cfee6bd3a335 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B The probabilistic relevance framework: BM25 and beyond,
Reference 13
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Observation 499c13b1-6652-491c-91bb-fdab338cd94c · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Dense passage retrieval for open-domain question answering,
Reference 14
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Observation 3d5225c4-c998-42a7-a47b-bfd0b589bb84 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Unsupervised dense information retrieval with contrastive learning,
Reference 15
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Observation 7c1cd61f-0b62-4ac4-9fba-8714c246ff2d · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B ColBERT: Efficient and effective passage search via contextualized late interaction over BERT,
Reference 16
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Observation e193f9a3-b25b-4ff0-a79a-6322a43d1f8a · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B MedCPT: Contrastive pre-trained transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval,
Reference 17
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Observation e5bb5332-8cb4-45ec-ab57-79f22826c738 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Document ranking with a pretrained sequence-to- sequence model,
Reference 18
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Observation cf1c1073-61f7-437a-9368-0cd051715f61 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Reference 19
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Observation 35bdd8ca-2ed1-44ae-9d4b-d358f7e41d6b · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Reciprocal rank fusion outperforms Condorcet and individual rank learning methods,
Reference 20
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Observation bc9a71aa-74e2-4d2f-b4c0-540aea2a856e · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models,
Reference 21
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Observation 6f873eab-b24d-46b1-b398-f329dd3b61d2 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B C-Pack: Packed resources for general Chinese embeddings,
Reference 22
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Observation 8107d1fc-366a-499f-96ff-a085d28996db · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B ReAct: Synergizing reasoning and acting in language models,
Reference 23
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Observation c3515000-1f18-4c39-a725-948b1de7d082 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Toolformer: Language models can teach themselves to use tools,
Reference 24
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Observation e210dcf8-65bf-42eb-8d4e-e87a76bbeb15 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B An overview of MetaMap: Historical perspective and recent advances,
Reference 25
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Observation 76dfc870-1b20-43a8-a9b6-c9f2c43eaa4f · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B The NIH Open Citation Collection: A public access, broad coverage resource,
Reference 26
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Observation 0bde50a1-ba93-40d6-8ef3-8d46439e2c25 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Training language models to follow instructions with human feedback,
Reference 27
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Observation 772dc265-46f8-4b1f-83d3-e2e24f15c208 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Attention is all you need,
Reference 28
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Observation 077772ff-49e7-468b-b50d-a67643889b9a · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B BERT: Pre-training of deep bidirectional transform- ers for language understanding,
Reference 29
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Observation 96cdf3e9-39d4-41a4-a0ec-f1e2712bde05 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Language models are few-shot learners,
Reference 30
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Observation 3d73fb9e-5739-415b-8f92-acd8de8da7c7 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B SciBERT: A pretrained language model for scientific text,
Reference 31
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Observation 5628ea1e-04c3-4068-b7c4-c0ac0de87d95 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Domain- specific language model pretraining for biomedical natural language processing,
Reference 32
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Observation 3626485b-e0d4-4283-8408-f6fd9bce27c6 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B BioGPT: Generative pre-trained transformer for biomedical text generation and mining,
Reference 33
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Observation 5311d74a-fa78-4414-b73a-ace8c0787b82 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Large language models encode clinical knowledge,
Reference 34
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Observation 3eb7e58e-f257-4ff8-8b2a-02e49da1d350 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Chain-of- thought prompting elicits reasoning in large language models,
Reference 35
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Observation e85c70af-917a-4880-b7db-ac9e01dfade0 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B On combining classifiers,
Reference 36
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Observation 201ee1a0-fbb3-4567-8871-7a7ae2e78c62 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Self-consistency improves chain-of-thought reasoning in language models,
Reference 37
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Observation 7d550ac9-6260-45a7-9e70-576003ce5f13 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena,
Reference 38
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Observation fe080bab-f6e9-43d6-97f9-eb892b529852 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B LLM-Blender: Ensembling large language models with pairwise ranking and generative fusion,
Reference 39
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Observation 750fc748-edf5-41a4-9510-b1a5db7824b3 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 40
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Observation bf49d80a-498e-4396-a4aa-a6af2ca75037 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B LM vs LM: Detecting factual errors via cross examination,
Reference 41
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Observation c0c830c3-c894-40b6-a102-33ce1d359a23 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Claude Opus 4.6 System Card,
Reference 42
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Observation 3e459a99-0c4d-4540-8965-0f8ebfc7857d · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 43
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Observation 8bab937a-5210-4e10-aa0c-f8e412a04feb · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B GPT-5.5 System Card,
Reference 44
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Observation 39739c9c-e48c-43a7-813e-4bf34585fb91 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs,
Reference 45
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Observation c31ef6e8-419a-4fbe-8b7e-c99bad18a03e · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Europe PMC in 2017,
Reference 46
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Observation 5688ffb2-1838-47c1-af86-236f82725481 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Statistical significance tests for machine translation evaluation,
Reference 47
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Observation ad410f25-6dbe-4766-81ac-0f146695adc7 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Self-Refine: Iterative refinement with self-feedback,
Reference 48
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Observation 03479534-2bcd-498c-aaef-850dee448192 · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Chain-of-Verification Reduces Hallucination in Large Language Models
Reference 49
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Observation 5bab9ecf-e449-4164-941d-24aac6312eea · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Overview of the TREC 2003 Question Answering Track,
Reference 50
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Observation 6140028b-90cf-4eee-a314-de9f46f412ff · outbound
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B Unsupervised Dense Information Retrieval with Contrastive Learning
Reference 2022
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No inbound Pith citation observations are available.