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Paper Citation Record · LEDGER

Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B

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.

pith.paper-citation-record.v1
2607.13551 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

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measured 51 of 51 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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Outbound references

Observation e3370a26-6eff-4ef6-8c40-570eb711c6fd · outbound

This paper cites An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition,.

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

This paper cites BioASQ-QA: A manually curated corpus for biomedical question answering,.

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

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

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

This paper cites Leveraging passage retrieval with generative models for open domain question answering,.

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

This paper cites Overview of BioASQ 2024: The Twelfth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answer- ing,.

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

This paper cites Overview of BioASQ Tasks 13b and Syn- ergy13 in CLEF 2025,.

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

This paper cites Overview of BioASQ 2026: The fourteenth BioASQ challenge on large-scale biomedical semantic indexing and question answering,.

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

This paper cites Overview of BioASQ Tasks 14b and Syn- ergy14 in CLEF 2026,.

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

This paper cites PubMedQA: A dataset for biomedical research question answering,.

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

This paper cites What disease does this patient have? A large-scale open domain question answering dataset from medical exams,.

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

This paper cites ROUGE: A package for automatic evaluation of summaries,.

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

This paper cites BioBERT: A pre-trained biomedical language representation model for biomedical text mining,.

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

This paper cites The probabilistic relevance framework: BM25 and beyond,.

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

This paper cites Dense passage retrieval for open-domain question answering,.

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

This paper cites Unsupervised dense information retrieval with contrastive learning,.

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

This paper cites ColBERT: Efficient and effective passage search via contextualized late interaction over BERT,.

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

This paper cites MedCPT: Contrastive pre-trained transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval,.

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

This paper cites Document ranking with a pretrained sequence-to- sequence model,.

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

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

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

This paper cites Reciprocal rank fusion outperforms Condorcet and individual rank learning methods,.

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

This paper cites BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models,.

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

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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

This paper cites ReAct: Synergizing reasoning and acting in language models,.

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

This paper cites Toolformer: Language models can teach themselves to use tools,.

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

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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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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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This paper cites Training language models to follow instructions with human feedback,.

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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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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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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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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Reference 31

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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

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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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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

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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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source=pdf_text observed=2026-08-02T04:54:47.741789Z digest=sha256:77b142680eb676e319257636b0da3dd70dec711f0ceb1f404063b2c9763c888b

Observation e85c70af-917a-4880-b7db-ac9e01dfade0 · outbound

This paper cites On combining classifiers,.

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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source=pdf_text observed=2026-08-02T04:54:47.796766Z digest=sha256:bb7a380017fa2f5027cd338f153d970ffcc6d3dc458eee57532d90f4eaf582b9

Observation 201ee1a0-fbb3-4567-8871-7a7ae2e78c62 · outbound

This paper cites Self-consistency improves chain-of-thought reasoning in language models,.

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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source=pdf_text observed=2026-08-02T04:54:47.856684Z digest=sha256:c1e110263e713a42d3ccd29222e3c8d3e9603b30b227d3e81e1c14cba60a5f6d

Observation 7d550ac9-6260-45a7-9e70-576003ce5f13 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena,.

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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source=pdf_text observed=2026-08-02T04:54:47.914139Z digest=sha256:a2dcb988bcd6ca5776249fb397d9b3d1907dfe0d87ffed52428e684bc909f75c

Observation fe080bab-f6e9-43d6-97f9-eb892b529852 · outbound

This paper cites LLM-Blender: Ensembling large language models with pairwise ranking and generative fusion,.

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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source=pdf_text observed=2026-08-02T04:54:47.972640Z digest=sha256:f08327b97d343131c40b21ce7c09b97c5f4297dbfc116ee78605260f84d9d34c

Observation 750fc748-edf5-41a4-9510-b1a5db7824b3 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

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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source=pdf_text observed=2026-08-02T04:54:48.057830Z digest=sha256:0e87aae1decd4c02a47f37b4aafc1f36bd69c1801584caed55bfd10972a0ee12

Observation bf49d80a-498e-4396-a4aa-a6af2ca75037 · outbound

This paper cites LM vs LM: Detecting factual errors via cross examination,.

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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source=pdf_text observed=2026-08-02T04:54:48.114036Z digest=sha256:24a0b976e9c8931d5050f4dfd4f761efe536e0b2f0ccec2deac2449cfe349749

Observation c0c830c3-c894-40b6-a102-33ce1d359a23 · outbound

This paper cites Claude Opus 4.6 System Card,.

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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source=pdf_text observed=2026-08-02T04:54:48.175068Z digest=sha256:fbfb59096d7933a294833dd254935f0da354d996a6ba630f008134c062d93c4e

Observation 3e459a99-0c4d-4540-8965-0f8ebfc7857d · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

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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source=pdf_text observed=2026-08-02T04:54:48.234138Z digest=sha256:1ee65249e3cc2083a8bcf7de02d3643bb133b65e6cf4d3de97f63cbfe68b6ffc

Observation 8bab937a-5210-4e10-aa0c-f8e412a04feb · outbound

This paper cites GPT-5.5 System Card,.

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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source=pdf_text observed=2026-08-02T04:54:48.306848Z digest=sha256:832f601833fbc6d2a3c64b37fa5e8663eb16902e8c67b5752a2e45f722230aad

Observation 39739c9c-e48c-43a7-813e-4bf34585fb91 · outbound

This paper cites Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs,.

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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source=pdf_text observed=2026-08-02T04:54:48.366398Z digest=sha256:288fe3ddb77a8caec7aec111f497e446d3bbf8594762121d9ac0f92adcf6cc5a

Observation c31ef6e8-419a-4fbe-8b7e-c99bad18a03e · outbound

This paper cites Europe PMC in 2017,.

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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source=pdf_text observed=2026-08-02T04:54:48.443759Z digest=sha256:a4a2b322790dc5f993afa15a36de26c13afc8e595ff162f83d462c8028c78a09

Observation 5688ffb2-1838-47c1-af86-236f82725481 · outbound

This paper cites Statistical significance tests for machine translation evaluation,.

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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source=pdf_text observed=2026-08-02T04:54:48.519384Z digest=sha256:4976120e3a97a3b4050a43aed94bfed6cb1d5ef60b9695d03dc9a75864663034

Observation ad410f25-6dbe-4766-81ac-0f146695adc7 · outbound

This paper cites Self-Refine: Iterative refinement with self-feedback,.

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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source=pdf_text observed=2026-08-02T04:54:48.578815Z digest=sha256:07dddde60e7a894a36f449b46807df451d4d67585f0b3f4caa869d7bb1123005

Observation 03479534-2bcd-498c-aaef-850dee448192 · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

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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source=pdf_text observed=2026-08-02T04:54:48.635069Z digest=sha256:8bab62c69ee2cdcc1d3e0327ea8b8e848b392275a08b5014b4b9a622f90759ab

Observation 5bab9ecf-e449-4164-941d-24aac6312eea · outbound

This paper cites Overview of the TREC 2003 Question Answering Track,.

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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source=pdf_text observed=2026-08-02T04:54:48.706934Z digest=sha256:6e1b7e996afb5839c5246ab1a8722b54734d4f00f39e619a182dd7869eb2d3ab

Observation 6140028b-90cf-4eee-a314-de9f46f412ff · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

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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source=pdf_text observed=2026-08-02T04:54:45.699950Z digest=sha256:2113fe3daf19bd44f93631e9c9b745e26cbd495bd505750d60e287ac8985b9b9

Pith citing papers

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